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The IC-DISC Show
Ep062: The Hidden Potential of IC-DISC with Brian Schwam

The IC-DISC Show

Play Episode Listen Later Mar 13, 2025 42:21


In this episode of the IC-DISC Show, I sit down with Brian Schwam to discuss how Interest Charge Domestic International Sales Corporations (IC-DISCs) can help businesses save on taxes. With over 35 years of experience, Brian shares how IC-DISC has evolved since 1972 and why it remains a valuable tool for U.S. exporters. He explains how businesses, particularly in the aerospace industry's Maintenance, Repair, and Overhaul (MRO) sector, can take advantage of this incentive to improve their financial position. We walk through a hypothetical example to illustrate how an exporting business could benefit from IC-DISC. Brian explains how companies involved in manufacturing, repairing, or trading parts can qualify and why many eligible businesses overlook this opportunity. We also discuss the annual MRO conference in Atlanta, where industry professionals gather to share insights and best practices. This event highlights the ongoing impact of IC-DISC within the aerospace sector and beyond. Despite the clear benefits, many businesses hesitate to implement IC-DISC due to a lack of awareness or expertise. Brian talks about how our firm partners with CPA firms to integrate IC-DISCs into existing tax processes, making it easier for businesses to take advantage of these savings. He also highlights the underutilization of IC-DISC and why more companies should consider it as part of their tax strategy. We wrap up by discussing the upcoming MRO America's Conference in Atlanta, where exporting aviation maintenance companies can connect and learn more about IC-DISC applications. Whether you're new to IC-DISC or looking to refine your approach, this conversation provides useful insights for businesses considering this tax-saving opportunity.     SHOW HIGHLIGHTS In this episode, I discuss the intricacies and benefits of Interest Charge Domestic International Sales Corporations (IC-DISC) with tax attorney Brian Schwam, who has over 35 years of experience in the field. We explore the historical context of IC-DISC, including its origins in 1972 and the significant changes it underwent following international scrutiny and U.S. tax reforms, such as the 2003 Bush tax cuts and the 2017 Tax Cuts and Jobs Act. Brian provides insights into how IC-DISC can serve as a valuable tax incentive for U.S. exporters, particularly those in the aerospace industry's Maintenance, Repair, and Overhaul (MRO) sector. Through a detailed hypothetical example, we illustrate how companies can leverage IC-DISC to maximize export profits, highlighting specific benefits for pass-through entities and closely held C corporations. We address common apprehensions businesses face regarding IC-DISC implementation and discuss how collaboration with CPA firms can facilitate a seamless integration into existing tax processes. Despite the clear benefits, IC-DISC remains underutilized, and we emphasize the potential missed opportunities for businesses not taking advantage of this tax-saving strategy. The episode also covers upcoming industry events, such as the annual MRO conference in Atlanta and the ICDISC Alliance Conference, which offer valuable networking and professional growth opportunities.   Contact Details LinkedIn - Brian Schwam (https://www.linkedin.com/in/brian-schwam-b6026a3/) LINKSShow Notes Be a Guest About IC-DISC Alliance About WTP Advisors GUEST Brian SchwamAbout Brian TRANSCRIPT (AI transcript provided as supporting material and may contain errors) Dave: Hey, brian, welcome to the podcast. Brian: Thanks, dave, good to be here. Dave: So where on planet Earth are you calling in from today? It's hard to tell by looking at your background. Brian: Outer space. I am in the sunny South Florida. Dave: Okay. Brian: Breezy, south Florida, okay. Dave: Now are you a native of Florida. Brian: I am not a native of Florida. I spent 50 years of my life in the upper Midwest in Wisconsin. Okay, I had to move to Sunbelt. Dave: Okay, Now were you educated in the Midwest then too. Brian: I was. I'm a proud alum of the University of Wisconsin, both for an undergraduate degree in accounting and also my JD from the law school Okay. Dave: So you've and I take it and I've known you a while, so I think that's been several decades ago that your career was started. Is that about right? Brian: Several would be a good good approximation. Yes, I've been at this for 38 years. I know it doesn't look like it, right, okay? Dave: And so, and how long have you been involved in ICDISC? Then Most of that time 38 years, oh, 38 years in ICDISC. Then most of that time, 38 years, oh, 38 years in the disc, wow, yeah. So how does that do you know? Do you have any way to quantify that? Like how many you know ICDISC returns you've, you know, signed or reviewed or prepared, or Boy, it's a big number, dave. Brian: It's probably five figures. Okay, probably, so you know, somewhere north of 10,000 for sure. Okay, over that time period. Dave: Well, and that is why I'm glad that you are one of the founding members of the IC Disc Alliance with me that when I had a chance to partner up with you and some of your team when we created the IC Disc Alliance, I was really excited because in my book I pretty much knew all the players in the IC Disc space and once the famous Neil Block retired after 50 years to me you were without peer in the IC Disc space. Brian: So I really enjoyed collaborating with you through the years here in the ICDISC space, so I really enjoyed collaborating with you through the years. Dave: Thank, you for that, Dave. I hope to be able to follow Neil into that 50-year stratosphere. Yeah, that's big shoes to follow. So let's just talk a bit about the ICDISC. What the heck is it? Why does everyone use that silly acronym? Brian: Because what it really stands for is a mouthful. Dave: Okay. Brian: Discharged Domestic International Sales Corporation and that is what the ICDISC stands for, short right ICDISC. And I don't know if we'll get into. I'll get into what the IC stands for and everything. But basically this is an export incentive that's been in the Internal Revenue Code since 1972. Okay, in various forms. Initially it was an export incentive that just about any company could use, that was exporting goods that were manufactured, produced, grown or extracted in the US. It came under some fire from our trading partners and in 1984, it was transformed into the ICDISC. It started out just as the DISC in 1972 for the Boston International Sales Corporation and it, like I said, came under scrutiny. Our trading partners said hey, you're a, you can't have an exemption from income because you're not. You know you tax things differently in your country. This flies in the face of the other incentives you give your taxpayers. So they changed it into the ICDIS, which made it into, instead of a permanent tax savings, at least on its face, into a temporary savings where, to the extent a taxpayer saved tax and deferred income from tax, they were required to pay an interest charge to the IRS on that deferred tax. Hence the IC. Dave: Okay, okay. Brian: That rate changes every year. It's based on the one-year average TBLO rate as of September 30th annually. And at the same time they instituted something called the Foreign Sales Corporation, which was widely used by thousands of companies, and that came under attack and eventually became the extraterritorial income exclusion which was immediately attacked and eventually, a couple of years later, it just went away. In the meantime, the disk floundered for quite a number of years. In fact, in the year 2000 there were only 787 disks in existence. Dave: Wow, it seems like a shockingly small number. Brian: Well, the tax laws weren't real conducive to benefiting from the disk at that time. Then, in 2003, the Bush tax cuts brought in the concept of qualified dividend income and it took the disk off of life support and really put it on robust territory for pass-through entities, because they could now, to the extent that they could qualify and we'll get into that, to the extent they could qualify and to the extent that they could benefit it provided a 20% rate benefit between ordinary income and qualified dividend income, so it was a significant savings. Now that's been whittled away over time, where it's been reduced here and there. Various tax law changes and probably the largest or the next biggest reduction came in in 2017 with the Trump tax bill, the Tax Cuts and Jobs Act, which reduced the rate on qualified income on non-qualified income. So it reduced the rate on S-corp income partnership income in an individual's tax return to a 29.6% level, and so now the spread between the qualified dividend rate and the ordinary rate just isn't as great as it used to be. It's approaching 6%. So where it used to be 20, then it went to 15, and now it's 6. But it's still a permanent savings for these past three entities and it's not something that they should ignore, because it can save significant taxes, depending upon the level of export activity. Dave: Okay, and now to be clear, depending on a company-specific fact pattern, that spread could be greater. Right For a pass-through. It could be as high as what like? Brian: 13% or so For a pass-through it could be as high as what like, 13% or so For a pass-through business. Dave: It could be as high as 13.2%, okay, but in general we see that it and it could even be somewhere between that, depending on. Brian: Anywhere in between 5.8 and 13.2. Dave: And our experience has been that most companies tend to gravitate more toward the lower end of the savings than the higher end. Brian: Yes. Dave: Yes, okay. Now what about for a C-Corp? Brian: C-Corp is a different animal. Okay, a C-Corp can't use an disc to pay deductible dividends to its owners if it's a closely held C corp. This is not something that a public company can benefit from. But if a closely held business C corp is paying dividends to its shareholders and would like to be able to deduct those payments, rather than not being able to deduct those payments, using an ICDIS can transform the dividend into a deductible dividend. Now, it doesn't save the shareholders any tax, because they're paying tax on the dividend regardless of where it comes from, but it would eliminate the corporate level tax on the C corporation, so that benefit could be as high as 21%. Dave: Okay. Brian: Okay, another manner in which certain C corporations use the disc is to fund bonuses for shareholders and key employees, and then that saves the shareholders 17% tax the difference between a tax on a wage and a tax on a dividend, qualified dividend. So that's a 17% savings for the shareholder. In that case the C-Corp doesn't save any tax. They're getting a deduction either way wages or commission to the disk. And now that I've mentioned the word commission, that's probably a good segue into how does a disk earn income? Yeah, and what is its income? So most discs are what we call commission discs. They earn a commission when a operating business that's related to that disc makes an export sale of qualified export property. So let's dig down into that first. What's qualified export property? Well, that's property that has been manufactured, produced, grown or extracted in the US. So if I'm manufacturing in Mexico or Canada or China and I'm simply selling what I've made in those other countries, you know the disc is not something that's going to benefit that type of a business. Dave: Okay. Brian: It is there to spur US manufacturing, create US jobs, right in line with the America First proposition that's headlining Washington in 2025. Dave: Okay. Brian: So it should be on safe ground, everything that's going on there. So if a company has property that's been manufactured, produced, grown or extracted in the US and they sell it for export outside the United States and not to a US possession, then that sale can potentially generate an ICDIS commission that would be paid to the ICDIS. And keep in mind this ICDISC is not an entity that the outside world sees or understands or knows about. It's simply an entity that does business, if you will, internally with the operating company, so customers don't know about it. It's really transparent to the world. It's just there to help US exporters save tax. Dave: Okay, it's just there to help US exporters save tax. Okay, and the logistics of it. Like say a company has just for simple math, let's say they have $10 million of export, of qualified export revenue, and the ICDIS commission that's calculated to say 10% of that. Brian: Okay. Dave: So 10% of that would be a million dollars, and so walk me through kind of the that's correct and it accrues the deduction, assuming it's not a cash basis taxpayer. Brian: It accrues that deduction at the end of the year, the DISC accrues the income at the end of the year and then by statute the DISC does not pay income tax. So now we've gotten a deduction on one side, we have non-taxable income on the other side and then when the disc pays a dividend to its owners, that becomes a qualified dividend and is taxed at a lower rate. Dave: Okay, so then, effectively, that million dollars gets reclassified from being taxed at ordinary dividend rates to qualified dividend rates. Brian: From ordinary income rates to qualified dividend rates. Dave: yes, Yep, thank you for that. And where that shows up for a pass-through is going to be on the individual shareholders, k-1, right. That box up near the top that shows ordinary taxable income would basically go down. Let's say there was one shareholder, that number goes down by a million dollars. And then there's a box further down on the K-1 for qualified dividend income and that's where the number's being shifted to right. Brian: Right. Assuming the disc is owned by the operating company, which most of the time it is in the pass-through business context, then the ordinary income gets reduced on the K-1 and the dividend income will increase on the K-1, not necessarily in the same year, but that will be the result over time. Dave: And then that tax savings then will show up on the individual shareholders. 1040, right, because their ordinary income line is a million dollars less. The qualified dividend income line is a million dollars more, and that's where that arbitrage. Brian: They pay less tax if they're getting a distribution from the company to cover their taxes, which is often the case, the company doesn't have to distribute as much cash, therefore increasing the working capital of the business. Dave: Okay, well, thank you. Thank you for that. Now, what I want to drill down into a little more today is looking at the aerospace industry, specifically what's called the MRO space in aerospace. Do you know what MRO stands for? Brian: I believe, I do, I believe maintenance, repair and overhaul. Dave: That's my understanding as well. Brian: That's a significant area in the aviation space. Dave: yes, Okay, and I believe that there's a big conference in Atlanta in April with like something like 17,000 expected attendees. Brian: Yeah, just a small gathering. Dave: A small gathering. Brian: For sure. Yes, that's my understanding as well. In fact, I'll be there. Dave: Yeah, I believe we'll both be there, yeah we'll both be there A few of our colleagues. Brian: Yeah, so it's a one a year significant gathering of companies that operate in this MRO space, supporting airlines and other aviation companies, and basically MRO is important because it keeps planes able to fly. Yeah, and we actually have a booth there. Dave: Yeah, and we actually have a booth there. 1818 BC and it makes it sound like it's a date from a long time ago. But yeah, we'll be there and this will be our first year in attendance or exhibiting. And this has come from, in recent years, I'd say, a big ramp up in the number of MRO companies who we are helping with their IC disk. Is that right? Brian: Yeah, absolutely. In fact, one of the sponsors of the conference was a company I was doing some work with and I asked them if he thought it would be a good idea for us to attend, and it was a resounding absolutely that he thought that we could meet a lot of companies that could benefit from this ICDISC similar to his company. Dave: Okay. What are the elements in the MRO space or the characteristics of the companies that make them a good fit for the ICDISC, because my understanding is it's probably only one out of a hundred of like all the registered corporations in the US are really a fit for the disc. Brian: Yeah, so it takes a specific fact pattern to really benefit. So the companies in the service side of the business so let's say they're carpet cleaners or something to that nature they're not going to be able to benefit from the disk. But let's say it's a repair center and airlines will ship in parts to the repair center because they've worn out and they need it. They need a replacement part so that they can fly this plane. So what happens is maybe the repair center takes their part and repairs it, but they previously repaired another part that's identical and then to the customer and that plane gets back in the air right away. So in that scenario, even though it's a different part that's going back out versus what was coming in, that type of activity qualifies as long as what they're doing qualifies as manufacturing and that repair is occurring in the US. Dave: Okay. Brian: Then that type of a company could definitely benefit Other companies. I don't want to use this term, but it's kind of like horse trading. Sometimes companies will buy a surplus of parts, knowing that eventually they're going to be used by somebody and they hang on to these parts, or they find them from somebody who says I don't want these parts anymore, I haven't been able to sell them. So they take a flyer, they take a risk and they buy these parts and they hang on to them and maybe they sell them at a significant profit and maybe they don't. But there's that space as well that can benefit from the disc, and there's some misconception out there that some of the companies that are similar to what I just described can't benefit from a disc, and so, for example, if parts are obtained outside the US, they stay outside the US. They stay outside the US and they're repaired, recertified and resold. Those aren't going to qualify for the ICBITS. But sometimes parts are acquired outside the US and they're brought into the US, they're repaired, put it back into inventory in the US and then sold for export, and that activity does qualify for the ICs, and so it's very important to know where this refurbishment or remanufacturing is taking place. Dave: Okay and yeah, and there's a US content piece to it, right, like if they buy a part from China and all they do is they just put a little lubricant on it and throw it in a box. Brian: that may not qualify and then they export it. The test is what's the customer's value when that part comes into the US. So if it's a burned out hot engine part, for example, yeah there's no value or very little value and it comes into the US, its customers value is close to zero. It gets repaired, it's going to easily meet the content test and it's easily going to be considered manufactured in the US. It's rare, I think, that we'll find that somebody will buy a new part from outside the US just to inventory it here for export. Dave: Okay, yeah, because there's that it's a 50% US content test, right which? Is also, I think confusing on the surface if you don't really dive down into the rules, right, I mean, the layperson may find it. Brian: How do you know what's 50% US content? Well, the cost of good, I mean. Think of it the other way. The foreign content can't be more than 50%. And the foreign content is the cost, the customs value when it was imported. So if I'm selling something for $100, I imported it for as much as $49.99. That's going to qualify as long as I did something, you know, remanufactured it once it got to the US and once it got to the plus, more often than not, I think the value of those things coming in because they're used and worn and damaged parts, they're going to have a low customs valuation where there'll be no problem meeting that content. Dave: Okay, I can see that. Well, I find and my listeners tell me they really like kind of case studies, little mini of case studies, little mini, you know, client case studies On an anonymous basis. Do you have an example or two of some of the types of companies we've worked with, just to give people a flavor of them and, again, you know, being anonymous to you know? What company it is, but just a sense of like the sense of the size of the company, what the benefit might have been. Brian: The size is sort of across the board, right. So some of them are someone on the smaller side. They might have export sales between $5 and $10 million, and then some of them might have export sales of $100 million. It all depends on the size of their business and the benefits are kind of all over the map. Because we don't just do a simple calculation of the benefits. And the reason we don't is because in this industry what we find is there's a lot of margin variability in the companies that are exporting, and then a transaction-by-transaction analysis of the disk commission is what makes the most sense. That allows us to benefit from the margin variability, allows them to benefit from a higher disk commission and obviously then they're going to save more tax. And in some cases the commission grows by 10x by using the T by T. Sometimes it's two or three x, sometimes it's. You know, I've seen you know where it would have been zero because there was an overall loss in the company, but we were able to get a significant discommission with a T by T approach. So it's hard to pinpoint an exact number, but generally speaking it's 15 to 20, you know the commission ends up being 15 to 20% of sales. And if you look at the statutes, one of the statutes says oh, the commission can be 4% of sales, and another implies that it could be anywhere from 4% to 10%, but we generally see in this industry at least 15% on average. It's significantly higher. Dave: Yeah, and I'd like to drill down into that because I tell, and based on my understanding, we may manage more IC disks than any other organization of the country. I mean we I think our number is somewhere north of 500 companies now that we're helping out, and when I'm having these conversations, you know. So I'm, as you know, I'm more focused on the sales side. You know, and you and your team are more focused kind of on the technical aspect of producing these returns, and what I tell people is that our real value isn't being able to produce an IC disk return. Our value is the incremental benefit that the transaction by transaction calculation yields. That the transaction by transaction calculation yields. Because you know just about any any cpa firm you know most of them their software includes the ic disk return. You know, if they just go do a four percent calculation, it's a, you know, reasonably straightforward calculation. But we find that you know they're capturing only a fraction of the total benefit. Brian: That's true, and while I've seen a good number of interesting looking disc returns, I tend to agree that if you follow the directions, anybody can probably prepare a disc return. We do that as well. That's not where we add the most value. Where we add the most value, adding the value comes in unlocking the highest commission possible so that the tax savings are as great as possible. Yeah, and a lot of businesses that are high margin I'm sorry, low margin high volume businesses. When you look at the disc, on its face it looks like oh, there's not much benefit here, we're only making 2% or 3% of sales on our bottom line. So our disc commission would be 2% or 3% of sales. But, like I said, with the transactional approach, if the commission approach is 15%, well now we've taken the company into a tax loss which could potentially save additional taxes for the owners over and above that 5.8%, because now we're offsetting that loss against other income wages, interest, et cetera and being taxed just on the qualified dividend income of the disc. And so you can't just look at the overall margin or overall profitability of the company and project what that, what it's going to look like, Because they vary all over the place. Dave: Based on this transactional approach, yeah, and I would like to talk a bit about. Oftentimes, when I'm talking to a company that's considering a disk, oftentimes they've never even heard of it. Their CPA firm may not have even mentioned the idea. And they'll say, and they'll ask me hey, does this mean my CPA, you know, screwed up by not telling me about it. In my response, you know I try to be generous and I explain it that, look, you know, in our experience only about one out of 100 companies are a candidate. And so let's just say you have a large local CPA firm and they have 100, you know midsize corporate clients. Statistically we find that only one of them, you know, would be a fit for the disk. And your experience may be a little different, you know, feel free to correct me. And so when you think about it from the CPA's perspective, if there's a special part of the tax code and they only have one client that benefits, it's a difficult economic dynamic for the CPA firm to invest in a whole team and expertise to serve one client, right? Isn't that like part of the challenge that the and I know you've worked at a number of large CPA firms Is my understanding correct? That's part of the problem is just their clientele. There aren't enough of them. That makes it worth doing yeah. Brian: Yeah, I think that's a fair characterization. I might phrase it a little bit differently. I mean, there are thousands of CPA firms and they're all excellent generalists. This is not an area where you can be a generalist. Cpa firms often outsource R&D, tax credit work, cost segregation work. This, to me, falls right in that same category. You don't want to dabble in this, and if you're not sure what you're doing, you can get you and your client in trouble. Have good intentions, but if you don't execute it properly, it can be more of a headache than it's worth. And so, like most people, I think people gravitate towards what they know and understand, and things that they don't know and understand can look and sound scary. Dave: Yeah. Brian: So it's like, oh my God, an IC disc. I've never heard of that. I'm not sure I can bring that to my client because I don't really know what I'm doing. Well, I wish I knew somebody I could call to him. He's not a competitor right who could help me through this and help my client through this, and so that's really one of the reasons why we exist, because, as you stated, you don't want it to be a competitor that you call, and so, because we are so hyper focused on what we do and we don't do the things that I'll call the cpa's generalists, that the generalists do, we're an excellent partner because we're not looking to take away anybody's tax return or any of the other type of work that the CPA might be doing for that client. We just want to play in our space. Dave: Yeah, sometimes I'm sorry. Sometimes you know clients or potential clients will say, yeah, but you know our CPA firm does. You know all of our work. It's a one-stop shop thing and I'm afraid having you do the disc return and then doing the corporate return yeah, but our CPA firm does all of our work, it's a one-stop shop thing and I'm afraid having you do the disc return and then doing the corporate return it's just going to be a nightmare for you all to coordinate your efforts. It just sounds like too much trouble. What would your response be to that? Brian: My response is I work with over 500 companies. Generally we do the disk work for those companies. The regular mainstream CPA does everything else. We coordinate our work with that CPA and it's never a problem. We say, look, we're going to need X number of days to turn this around, so please have a draft of the operating company return by a particular date, and then they work towards that date. They give us the return, we get data from the company and we turn the number around so they can finish their tax return and then we go ahead and finish the disc return and I would say 99.9% of the time it works like we're all part of the same thing. Dave: Yeah, because really the CPA they prepare that final draft corporate return. They then pull two numbers from the disk return that goes into the corporate return and then they're done, basically right. Brian: And they're done and they can go ahead and finish up their disk return, I mean their operating company return and their state returns and everything. And then we just have to get the disc return done. And sometimes you know they file their tax return in april and you know the disc returns aren't due till september. So one might say, oh, you could just sit on them until september. But you know, we try to get them done at the same time. Sure sure Everybody can rest easy. But I mean we think of ourselves as a bolt-on resource to that CPA firm while we're working with that and we work with probably 50 to 75 CPA firms around the country in that role- yeah. It works well. I mean, you can talk to any one of them about what it's like to work with us, and I'm sure you'd get a glowing recommendation for how we work with them and for their clients. Dave: Yeah, no, I'm with you. So, as we're nearing the end here, the other thing that people find interesting you'd mentioned in 2003, there were 700 IC disks under 1,000. Yeah, 787. And then, according, if my recollection is correct, the most recent IRS stats that updated that were published, I think, in 2010. And I believe in 2010, there were like 2000 disks. Brian: Yeah, something like 1926. Okay, To be exact, and that number I'm sure has grown dramatically since then. I would guess there's somewhere between eight and 10,000 disks out there now. Okay, yeah. Dave: Yeah, now what's interesting? This is what people find interesting. I believe there's about 50 million business organization, you know business entities in the country, and so let's just assume that's the number, 50 million. Brian: I mean it's tens of millions. Dave: I'm certain of that. For some reason, I think it's 50 million. Does that sound reasonable? Brian: It does so let's think it's 50 million, does that? Dave: sound reasonable. It does. So let's say it's 50 million and on your average, you know we find around one out of a hundred. You know, maybe one out of 200 companies are fit for the disc. So if we run through the math, you know one percent of 50 million, I believe, is 500, 000. You know approximate companies that we think would benefit from a disc. Yet most recent stats, there's only 2000, you know, and maybe it's 4,000, 6,000, you know. Even, let's say it's 10,000 that exists now. So if you divide 10,000 by 500,000, what is that? Like 2%, I think, of the projected eligible company actually have a disc yeah, and people can't. They always are surprised by that and I usually tell them it might. And tell me if your numbers are consistent. I say about 100. One out of 100 benefit or could benefit. The ones who could benefit 90 percent of them have never heard of the disc, maybe 95%, and the 5% of the 1% who have heard of it, even once they hear about it, they usually haven't implemented it. Brian: Right. Then there's a percent that have implemented it. They're not getting out of it what they can. Dave: Right right. Brian: So it's so. There's a lot of missed opportunities by taxpayers and everyone's always trying to save some taxes. It helps fun, you know. It might help hire another employee might help, you know, if the savings are moderate and it's 50, 6070, 1000 of tax savings that still could pay for an employee to come work at the company. Why do? Dave: you think that utilization is so low? I mean because it'd be shocking if only 2% of the companies who did research and development took advantage of the RMD tax credit. Brian: I think it's just not well known. I mean it's very esoteric, it's been in the tax code for ages and ages and it just doesn't you. You know, there were so many years where it just wasn't relevant when you think that it's not something people think about. And then if you know, if you're a small exporter and you're exporting a half a million dollars a year a million dollars a year unfortunately it probably doesn't benefit you to have a disc and so maybe someone will look at it whether that size and they're like, oh yeah, it doesn't benefit you to have a disk and so maybe someone will look at it whether that size and they're like, oh yeah, it doesn't work. And then they grow and they forget that it might work once they've grown. So once a company hits about three million of export sales really should look at it again, because that's where it starts to have economic relevance that's where it starts to have economic relevance. Dave: Do you think some of it could be that? I mean, in general, public companies don't use disks, right? Brian: They just simply don't. Dave: Okay, and so I've found that oftentimes small to mid-sized privately held companies receive a lot of their sophisticated business knowledge from their Fortune 500 suppliers or clients. You know they'll hear from them about something and you know, like the payroll protection program during COVID, you know I suspect some of those might have heard about that from you know some of their large customers. Maybe that's not a good example, but you know that could be another reason. Right, there's just a dearth of knowledge that the CPAs aren't focused on it because the economics don't make sense. The large sophisticated public suppliers and clients don't use it, so they don't hear about it from them. Right, it's not really in the news, it's just. It just kind of flies below the radar screen, doesn't it? Brian: It definitely does, and that's certainly a reason why it's not as utilized as it probably could be. Dave: Yeah, and it seems like you know most of our, you know virtually all of our clients come as a referral from either an existing client or an advisor who we've worked with other clients you know, like a CPA or attorney or banker. So yeah, it's just a yeah, even though you know the podcast is called the Icy Disc Show. I don't get the sense that I'm ever going to. You know, reach Joe Rogan's audience size. It just seems to kind of fly below the radar screen. Brian: Yeah, and the potential audience is probably a little smaller than Joe's. Dave: Probably Well. So the last thing, the other thing people tell me they're surprised about the first year of the disk return. When they set up a disk is to get everything done. And we tell them the disk return's ready and they say, super good, and e-file it for me, like the CPA does the corporate and personal returns. And what is our response when they tell us to go e-file it for them? Brian: The response is unfortunately, the IRS doesn't provide for e-filing of disk returns and we'll need to send you a paper return. You're going to need to sign it and file it with the IRS and the unfortunate thing there is gosh, I don't know what percent of the time, but it's a growing percentage of the time the IRS loses the return Right and then sends a notice saying, hey, we never filed or whatever. And some of these disk returns are quite large. The fact that they because when you do the transaction by transaction analysis, there's a lot of paper that gets produced and filed and it's shocking to me that the IRS would lose those what they do. Dave: So it's interesting what they do. So it's interesting. I like to say that not only does the ICDISC fly under the radar screen of most everything, it even, in some ways, it's almost like it flies under the radar screen of the IRS itself. Brian: Yeah, and they put some things in place with regard to the ICDISC in 1984 and have never changed it. For example, if you're in the situation where you have to pay interest on deferred tax, which often occurs. First of all, a lot of times taxpayers don't realize it and they don't do it. Secondly, if they do it. It's so antiquated that the instructions to the form where you calculate the interest it says please staple a check to this form and mail it in. I mean, who does that in 2020, right? Nobody. People, businesses prefer to do things electronically to avoid checks being stolen, fraudulent activity, so on and so forth. But here the IRS is saying staple a check to this form and mail it to Kansas City, missouri. Dave: Yeah, and I guess it kind of makes sense that you know if there's only a few thousand of these disks in existence. In the same way, you can't expect the CPA firms to make it a heavy focus, I suppose even the IRS. You know there's a hundred other tax incentives or a thousand other tax incentives that are more highly utilized that you know they maybe are spending their time on. Brian: Yeah, as I like to say, the people at the IRS that understood the disc were working there in the 70s and 80s, OK, and they're long retired. Yeah, and they're long retired. There's really not a lot of bodies at the IRS that understand the DISC and certainly when you're doing a transaction by transaction study and calculating the commission on each individual transaction, there's nobody there that understands that. Dave: Nobody Well, and it's kind of the same thing outside the IRS, right? Nobody Well, and it's kind of the same thing outside the IRS, right? I mean I have this joke that nobody makes partner at a big four firm being the IC disk expert. Oh, that's true, so it even especially nowadays. Yeah, and so it seems like like the average age of IC disks experts is about the same as the average age of the average Fortran computer language programmer. It just seems like you know new people are not coming into the disk and there's just a dearth of knowledge all around. Brian: Right, right. And I myself learned COBOL, which is a choice between Fortran and COBOL, when I was in business school, both equally non-usable. Dave: Is it part of that? Because since the disk came on in 1972, it seems like since 1973, people have been talking about the IC disk going away. So is that maybe part of it? People think, well, why should I learn something if it's going away? Brian: Maybe part of it. People think, well, why should I learn something if it's going away? There's always been a fear that it's either going to go away or that there's a technical correction coming that the disk dividend is not a qualified dividend. But the bottom line is politically, I just don't see that happening. Dave: It stands for too many things that are positive for the US Job creation export sales for too many things that are positive for the US Job creation, export sales, us companies being more competitive in the global market. Brian: So it doesn't really lend itself to be repealed. What can be repealed are some of the tax rates. Some of the tax rates can change and that can change the benefits of the disc. The concept of the disc itself and what it stands for really is very consistent with our country. Dave: Yeah, wow, I can't believe how the time has flown by, brian. Is there anything else that you want to mention about the IC disc or the MRO industry? Brian: No, I can't think of anything specifically other than I'm looking forward to being there and meeting many of the attendees and other exhibitors that are there and spending some time with you and our colleagues in Atlanta. Dave: Yeah, it will be fun. So it's the ICDISC Alliance. If you want to look us up on the website for the conference or stop by 1818BC. We also have a LinkedIn page for the ICDISC Alliance, and so I'd love to meet with any of you who are going to be at the conference. Awesome, well, thank you very much for your time, Brian. This has been really useful. Brian: You're welcome. You're very welcome. Special Guest: Brian Schwam.

Latent Space: The AI Engineer Podcast — CodeGen, Agents, Computer Vision, Data Science, AI UX and all things Software 3.0

Due to overwhelming demand (>15x applications:slots), we are closing CFPs for AI Engineer Summit NYC today. Last call! Thanks, we'll be reaching out to all shortly!The world's top AI blogger and friend of every pod, Simon Willison, dropped a monster 2024 recap: Things we learned about LLMs in 2024. Brian of the excellent TechMeme Ride Home pinged us for a connection and a special crossover episode, our first in 2025. The target audience for this podcast is a tech-literate, but non-technical one. You can see Simon's notes for AI Engineers in his World's Fair Keynote.Timestamp* 00:00 Introduction and Guest Welcome* 01:06 State of AI in 2025* 01:43 Advancements in AI Models* 03:59 Cost Efficiency in AI* 06:16 Challenges and Competition in AI* 17:15 AI Agents and Their Limitations* 26:12 Multimodal AI and Future Prospects* 35:29 Exploring Video Avatar Companies* 36:24 AI Influencers and Their Future* 37:12 Simplifying Content Creation with AI* 38:30 The Importance of Credibility in AI* 41:36 The Future of LLM User Interfaces* 48:58 Local LLMs: A Growing Interest* 01:07:22 AI Wearables: The Next Big Thing* 01:10:16 Wrapping Up and Final ThoughtsTranscript[00:00:00] Introduction and Guest Welcome[00:00:00] Brian: Welcome to the first bonus episode of the Tech Meme Write Home for the year 2025. I'm your host as always, Brian McCullough. Listeners to the pod over the last year know that I have made a habit of quoting from Simon Willison when new stuff happens in AI from his blog. Simon has been, become a go to for many folks in terms of, you know, Analyzing things, criticizing things in the AI space.[00:00:33] Brian: I've wanted to talk to you for a long time, Simon. So thank you for coming on the show. No, it's a privilege to be here. And the person that made this connection happen is our friend Swyx, who has been on the show back, even going back to the, the Twitter Spaces days but also an AI guru in, in their own right Swyx, thanks for coming on the show also.[00:00:54] swyx (2): Thanks. I'm happy to be on and have been a regular listener, so just happy to [00:01:00] contribute as well.[00:01:00] Brian: And a good friend of the pod, as they say. Alright, let's go right into it.[00:01:06] State of AI in 2025[00:01:06] Brian: Simon, I'm going to do the most unfair, broad question first, so let's get it out of the way. The year 2025. Broadly, what is the state of AI as we begin this year?[00:01:20] Brian: Whatever you want to say, I don't want to lead the witness.[00:01:22] Simon: Wow. So many things, right? I mean, the big thing is everything's got really good and fast and cheap. Like, that was the trend throughout all of 2024. The good models got so much cheaper, they got so much faster, they got multimodal, right? The image stuff isn't even a surprise anymore.[00:01:39] Simon: They're growing video, all of that kind of stuff. So that's all really exciting.[00:01:43] Advancements in AI Models[00:01:43] Simon: At the same time, they didn't get massively better than GPT 4, which was a bit of a surprise. So that's sort of one of the open questions is, are we going to see huge, but I kind of feel like that's a bit of a distraction because GPT 4, but way cheaper, much larger context lengths, and it [00:02:00] can do multimodal.[00:02:01] Simon: is better, right? That's a better model, even if it's not.[00:02:05] Brian: What people were expecting or hoping, maybe not expecting is not the right word, but hoping that we would see another step change, right? Right. From like GPT 2 to 3 to 4, we were expecting or hoping that maybe we were going to see the next evolution in that sort of, yeah.[00:02:21] Brian: We[00:02:21] Simon: did see that, but not in the way we expected. We thought the model was just going to get smarter, and instead we got. Massive drops in, drops in price. We got all of these new capabilities. You can talk to the things now, right? They can do simulated audio input, all of that kind of stuff. And so it's kind of, it's interesting to me that the models improved in all of these ways we weren't necessarily expecting.[00:02:43] Simon: I didn't know it would be able to do an impersonation of Santa Claus, like a, you know, Talked to it through my phone and show it what I was seeing by the end of 2024. But yeah, we didn't get that GPT 5 step. And that's one of the big open questions is, is that actually just around the corner and we'll have a bunch of GPT 5 class models drop in the [00:03:00] next few months?[00:03:00] Simon: Or is there a limit?[00:03:03] Brian: If you were a betting man and wanted to put money on it, do you expect to see a phase change, step change in 2025?[00:03:11] Simon: I don't particularly for that, like, the models, but smarter. I think all of the trends we're seeing right now are going to keep on going, especially the inference time compute, right?[00:03:21] Simon: The trick that O1 and O3 are doing, which means that you can solve harder problems, but they cost more and it churns away for longer. I think that's going to happen because that's already proven to work. I don't know. I don't know. Maybe there will be a step change to a GPT 5 level, but honestly, I'd be completely happy if we got what we've got right now.[00:03:41] Simon: But cheaper and faster and more capabilities and longer contexts and so forth. That would be thrilling to me.[00:03:46] Brian: Digging into what you've just said one of the things that, by the way, I hope to link in the show notes to Simon's year end post about what, what things we learned about LLMs in 2024. Look for that in the show notes.[00:03:59] Cost Efficiency in AI[00:03:59] Brian: One of the things that you [00:04:00] did say that you alluded to even right there was that in the last year, you felt like the GPT 4 barrier was broken, like IE. Other models, even open source ones are now regularly matching sort of the state of the art.[00:04:13] Simon: Well, it's interesting, right? So the GPT 4 barrier was a year ago, the best available model was OpenAI's GPT 4 and nobody else had even come close to it.[00:04:22] Simon: And they'd been at the, in the lead for like nine months, right? That thing came out in what, February, March of, of 2023. And for the rest of 2023, nobody else came close. And so at the start of last year, like a year ago, the big question was, Why has nobody beaten them yet? Like, what do they know that the rest of the industry doesn't know?[00:04:40] Simon: And today, that I've counted 18 organizations other than GPT 4 who've put out a model which clearly beats that GPT 4 from a year ago thing. Like, maybe they're not better than GPT 4. 0, but that's, that, that, that barrier got completely smashed. And yeah, a few of those I've run on my laptop, which is wild to me.[00:04:59] Simon: Like, [00:05:00] it was very, very wild. It felt very clear to me a year ago that if you want GPT 4, you need a rack of 40, 000 GPUs just to run the thing. And that turned out not to be true. Like the, the, this is that big trend from last year of the models getting more efficient, cheaper to run, just as capable with smaller weights and so forth.[00:05:20] Simon: And I ran another GPT 4 model on my laptop this morning, right? Microsoft 5. 4 just came out. And that, if you look at the benchmarks, it's definitely, it's up there with GPT 4. 0. It's probably not as good when you actually get into the vibes of the thing, but it, it runs on my, it's a 14 gigabyte download and I can run it on a MacBook Pro.[00:05:38] Simon: Like who saw that coming? The most exciting, like the close of the year on Christmas day, just a few weeks ago, was when DeepSeek dropped their DeepSeek v3 model on Hugging Face without even a readme file. It was just like a giant binary blob that I can't run on my laptop. It's too big. But in all of the benchmarks, it's now by far the best available [00:06:00] open, open weights model.[00:06:01] Simon: Like it's, it's, it's beating the, the metalamas and so forth. And that was trained for five and a half million dollars, which is a tenth of the price that people thought it costs to train these things. So everything's trending smaller and faster and more efficient.[00:06:15] Brian: Well, okay.[00:06:16] Challenges and Competition in AI[00:06:16] Brian: I, I kind of was going to get to that later, but let's, let's combine this with what I was going to ask you next, which is, you know, you're talking, you know, Also in the piece about the LLM prices crashing, which I've even seen in projects that I'm working on, but explain Explain that to a general audience, because we hear all the time that LLMs are eye wateringly expensive to run, but what we're suggesting, and we'll come back to the cheap Chinese LLM, but first of all, for the end user, what you're suggesting is that we're starting to see the cost come down sort of in the traditional technology way of Of costs coming down over time,[00:06:49] Simon: yes, but very aggressively.[00:06:51] Simon: I mean, my favorite thing, the example here is if you look at GPT-3, so open AI's g, PT three, which was the best, a developed model in [00:07:00] 2022 and through most of 20 2023. That, the models that we have today, the OpenAI models are a hundred times cheaper. So there was a 100x drop in price for OpenAI from their best available model, like two and a half years ago to today.[00:07:13] Simon: And[00:07:14] Brian: just to be clear, not to train the model, but for the use of tokens and things. Exactly,[00:07:20] Simon: for running prompts through them. And then When you look at the, the really, the top tier model providers right now, I think, are OpenAI, Anthropic, Google, and Meta. And there are a bunch of others that I could list there as well.[00:07:32] Simon: Mistral are very good. The, the DeepSeq and Quen models have got great. There's a whole bunch of providers serving really good models. But even if you just look at the sort of big brand name providers, they all offer models now that are A fraction of the price of the, the, of the models we were using last year.[00:07:49] Simon: I think I've got some numbers that I threw into my blog entry here. Yeah. Like Gemini 1. 5 flash, that's Google's fast high quality model is [00:08:00] how much is that? It's 0. 075 dollars per million tokens. Like these numbers are getting, So we just do cents per million now,[00:08:09] swyx (2): cents per million,[00:08:10] Simon: cents per million makes, makes a lot more sense.[00:08:12] Simon: Yeah they have one model 1. 5 flash 8B, the absolute cheapest of the Google models, is 27 times cheaper than GPT 3. 5 turbo was a year ago. That's it. And GPT 3. 5 turbo, that was the cheap model, right? Now we've got something 27 times cheaper, and the Google, this Google one can do image recognition, it can do million token context, all of those tricks.[00:08:36] Simon: But it's, it's, it's very, it's, it really is startling how inexpensive some of this stuff has got.[00:08:41] Brian: Now, are we assuming that this, that happening is directly the result of competition? Because again, you know, OpenAI, and probably they're doing this for their own almost political reasons, strategic reasons, keeps saying, we're losing money on everything, even the 200.[00:08:56] Brian: So they probably wouldn't, the prices wouldn't be [00:09:00] coming down if there wasn't intense competition in this space.[00:09:04] Simon: The competition is absolutely part of it, but I have it on good authority from sources I trust that Google Gemini is not operating at a loss. Like, the amount of electricity to run a prompt is less than they charge you.[00:09:16] Simon: And the same thing for Amazon Nova. Like, somebody found an Amazon executive and got them to say, Yeah, we're not losing money on this. I don't know about Anthropic and OpenAI, but clearly that demonstrates it is possible to run these things at these ludicrously low prices and still not be running at a loss if you discount the Army of PhDs and the, the training costs and all of that kind of stuff.[00:09:36] Brian: One, one more for me before I let Swyx jump in here. To, to come back to DeepSeek and this idea that you could train, you know, a cutting edge model for 6 million. I, I was saying on the show, like six months ago, that if we are getting to the point where each new model It would cost a billion, ten billion, a hundred billion to train that.[00:09:54] Brian: At some point it would almost, only nation states would be able to train the new models. Do you [00:10:00] expect what DeepSeek and maybe others are proving to sort of blow that up? Or is there like some sort of a parallel track here that maybe I'm not technically, I don't have the mouse to understand the difference.[00:10:11] Brian: Is the model, are the models going to go, you know, Up to a hundred billion dollars or can we get them down? Sort of like DeepSeek has proven[00:10:18] Simon: so I'm the wrong person to answer that because I don't work in the lab training these models. So I can give you my completely uninformed opinion, which is, I felt like the DeepSeek thing.[00:10:27] Simon: That was a bomb shell. That was an absolute bombshell when they came out and said, Hey, look, we've trained. One of the best available models and it cost us six, five and a half million dollars to do it. I feel, and they, the reason, one of the reasons it's so efficient is that we put all of these export controls in to stop Chinese companies from giant buying GPUs.[00:10:44] Simon: So they've, were forced to be, go as efficient as possible. And yet the fact that they've demonstrated that that's possible to do. I think it does completely tear apart this, this, this mental model we had before that yeah, the training runs just keep on getting more and more expensive and the number of [00:11:00] organizations that can afford to run these training runs keeps on shrinking.[00:11:03] Simon: That, that's been blown out of the water. So yeah, that's, again, this was our Christmas gift. This was the thing they dropped on Christmas day. Yeah, it makes me really optimistic that we can, there are, It feels like there was so much low hanging fruit in terms of the efficiency of both inference and training and we spent a whole bunch of last year exploring that and getting results from it.[00:11:22] Simon: I think there's probably a lot left. I think there's probably, well, I would not be surprised to see even better models trained spending even less money over the next six months.[00:11:31] swyx (2): Yeah. So I, I think there's a unspoken angle here on what exactly the Chinese labs are trying to do because DeepSea made a lot of noise.[00:11:41] swyx (2): so much for joining us for around the fact that they train their model for six million dollars and nobody quite quite believes them. Like it's very, very rare for a lab to trumpet the fact that they're doing it for so cheap. They're not trying to get anyone to buy them. So why [00:12:00] are they doing this? They make it very, very obvious.[00:12:05] swyx (2): Deepseek is about 150 employees. It's an order of magnitude smaller than at least Anthropic and maybe, maybe more so for OpenAI. And so what's, what's the end game here? Are they, are they just trying to show that the Chinese are better than us?[00:12:21] Simon: So Deepseek, it's the arm of a hedge, it's a, it's a quant fund, right?[00:12:25] Simon: It's an algorithmic quant trading thing. So I, I, I would love to get more insight into how that organization works. My assumption from what I've seen is it looks like they're basically just flexing. They're like, hey, look at how utterly brilliant we are with this amazing thing that we've done. And it's, it's working, right?[00:12:43] Simon: They but, and so is that it? Are they, is this just their kind of like, this is, this is why our company is so amazing. Look at this thing that we've done, or? I don't know. I'd, I'd love to get Some insight from, from within that industry as to, as to how that's all playing out.[00:12:57] swyx (2): The, the prevailing theory among the Local Llama [00:13:00] crew and the Twitter crew that I indexed for my newsletter is that there is some amount of copying going on.[00:13:06] swyx (2): It's like Sam Altman you know, tweet, tweeting about how they're being copied. And then also there's this, there, there are other sort of opening eye employees that have said, Stuff that is similar that DeepSeek's rate of progress is how U. S. intelligence estimates the number of foreign spies embedded in top labs.[00:13:22] swyx (2): Because a lot of these ideas do spread around, but they surprisingly have a very high density of them in the DeepSeek v3 technical report. So it's, it's interesting. We don't know how much, how many, how much tokens. I think that, you know, people have run analysis on how often DeepSeek thinks it is cloud or thinks it is opening GPC 4.[00:13:40] swyx (2): Thanks for watching! And we don't, we don't know. We don't know. I think for me, like, yeah, we'll, we'll, we basically will never know as, as external commentators. I think what's interesting is how, where does this go? Is there a logical floor or bottom by my estimations for the same amount of ELO started last year to the end of last year cost went down by a thousand X for the [00:14:00] GPT, for, for GPT 4 intelligence.[00:14:02] swyx (2): Would, do they go down a thousand X this year?[00:14:04] Simon: That's a fascinating question. Yeah.[00:14:06] swyx (2): Is there a Moore's law going on, or did we just get a one off benefit last year for some weird reason?[00:14:14] Simon: My uninformed hunch is low hanging fruit. I feel like up until a year ago, people haven't been focusing on efficiency at all. You know, it was all about, what can we get these weird shaped things to do?[00:14:24] Simon: And now once we've sort of hit that, okay, we know that we can get them to do what GPT 4 can do, When thousands of researchers around the world all focus on, okay, how do we make this more efficient? What are the most important, like, how do we strip out all of the weights that have stuff in that doesn't really matter?[00:14:39] Simon: All of that kind of thing. So yeah, maybe that was it. Maybe 2024 was a freak year of all of the low hanging fruit coming out at once. And we'll actually see a reduction in the, in that rate of improvement in terms of efficiency. I wonder, I mean, I think we'll know for sure in about three months time if that trend's going to continue or not.[00:14:58] swyx (2): I agree. You know, I [00:15:00] think the other thing that you mentioned that DeepSeq v3 was the gift that was given from DeepSeq over Christmas, but I feel like the other thing that might be underrated was DeepSeq R1,[00:15:11] Speaker 4: which is[00:15:13] swyx (2): a reasoning model you can run on your laptop. And I think that's something that a lot of people are looking ahead to this year.[00:15:18] swyx (2): Oh, did they[00:15:18] Simon: release the weights for that one?[00:15:20] swyx (2): Yeah.[00:15:21] Simon: Oh my goodness, I missed that. I've been playing with the quen. So the other great, the other big Chinese AI app is Alibaba's quen. Actually, yeah, I, sorry, R1 is an API available. Yeah. Exactly. When that's really cool. So Alibaba's Quen have released two reasoning models that I've run on my laptop.[00:15:38] Simon: Now there was, the first one was Q, Q, WQ. And then the second one was QVQ because the second one's a vision model. So you can like give it vision puzzles and a prompt that these things, they are so much fun to run. Because they think out loud. It's like the OpenAR 01 sort of hides its thinking process. The Query ones don't.[00:15:59] Simon: They just, they [00:16:00] just churn away. And so you'll give it a problem and it will output literally dozens of paragraphs of text about how it's thinking. My favorite thing that happened with QWQ is I asked it to draw me a pelican on a bicycle in SVG. That's like my standard stupid prompt. And for some reason it thought in Chinese.[00:16:18] Simon: It spat out a whole bunch of like Chinese text onto my terminal on my laptop, and then at the end it gave me quite a good sort of artistic pelican on a bicycle. And I ran it all through Google Translate, and yeah, it was like, it was contemplating the nature of SVG files as a starting point. And the fact that my laptop can think in Chinese now is so delightful.[00:16:40] Simon: It's so much fun watching you do that.[00:16:43] swyx (2): Yeah, I think Andrej Karpathy was saying, you know, we, we know that we have achieved proper reasoning inside of these models when they stop thinking in English, and perhaps the best form of thought is in Chinese. But yeah, for listeners who don't know Simon's blog he always, whenever a new model comes out, you, I don't know how you do it, but [00:17:00] you're always the first to run Pelican Bench on these models.[00:17:02] swyx (2): I just did it for 5.[00:17:05] Simon: Yeah.[00:17:07] swyx (2): So I really appreciate that. You should check it out. These are not theoretical. Simon's blog actually shows them.[00:17:12] Brian: Let me put on the investor hat for a second.[00:17:15] AI Agents and Their Limitations[00:17:15] Brian: Because from the investor side of things, a lot of the, the VCs that I know are really hot on agents, and this is the year of agents, but last year was supposed to be the year of agents as well. Lots of money flowing towards, And Gentic startups.[00:17:32] Brian: But in in your piece that again, we're hopefully going to have linked in the show notes, you sort of suggest there's a fundamental flaw in AI agents as they exist right now. Let me let me quote you. And then I'd love to dive into this. You said, I remain skeptical as to their ability based once again, on the Challenge of gullibility.[00:17:49] Brian: LLMs believe anything you tell them, any systems that attempt to make meaningful decisions on your behalf, will run into the same roadblock. How good is a travel agent, or a digital assistant, or even a research tool, if it [00:18:00] can't distinguish truth from fiction? So, essentially, what you're suggesting is that the state of the art now that allows agents is still, it's still that sort of 90 percent problem, the edge problem, getting to the Or, or, or is there a deeper flaw?[00:18:14] Brian: What are you, what are you saying there?[00:18:16] Simon: So this is the fundamental challenge here and honestly my frustration with agents is mainly around definitions Like any if you ask anyone who says they're working on agents to define agents You will get a subtly different definition from each person But everyone always assumes that their definition is the one true one that everyone else understands So I feel like a lot of these agent conversations, people talking past each other because one person's talking about the, the sort of travel agent idea of something that books things on your behalf.[00:18:41] Simon: Somebody else is talking about LLMs with tools running in a loop with a cron job somewhere and all of these different things. You, you ask academics and they'll laugh at you because they've been debating what agents mean for over 30 years at this point. It's like this, this long running, almost sort of an in joke in that community.[00:18:57] Simon: But if we assume that for this purpose of this conversation, an [00:19:00] agent is something that, Which you can give a job and it goes off and it does that thing for you like, like booking travel or things like that. The fundamental challenge is, it's the reliability thing, which comes from this gullibility problem.[00:19:12] Simon: And a lot of my, my interest in this originally came from when I was thinking about prompt injections as a source of this form of attack against LLM systems where you deliberately lay traps out there for this LLM to stumble across,[00:19:24] Brian: and which I should say you have been banging this drum that no one's gotten any far, at least on solving this, that I'm aware of, right.[00:19:31] Brian: Like that's still an open problem. The two years.[00:19:33] Simon: Yeah. Right. We've been talking about this problem and like, a great illustration of this was Claude so Anthropic released Claude computer use a few months ago. Fantastic demo. You could fire up a Docker container and you could literally tell it to do something and watch it open a web browser and navigate to a webpage and click around and so forth.[00:19:51] Simon: Really, really, really interesting and fun to play with. And then, um. One of the first demos somebody tried was, what if you give it a web page that says download and run this [00:20:00] executable, and it did, and the executable was malware that added it to a botnet. So the, the very first most obvious dumb trick that you could play on this thing just worked, right?[00:20:10] Simon: So that's obviously a really big problem. If I'm going to send something out to book travel on my behalf, I mean, it's hard enough for me to figure out which airlines are trying to scam me and which ones aren't. Do I really trust a language model that believes the literal truth of anything that's presented to it to go out and do those things?[00:20:29] swyx (2): Yeah I definitely think there's, it's interesting to see Anthropic doing this because they used to be the safety arm of OpenAI that split out and said, you know, we're worried about letting this thing out in the wild and here they are enabling computer use for agents. Thanks. The, it feels like things have merged.[00:20:49] swyx (2): You know, I'm, I'm also fairly skeptical about, you know, this always being the, the year of Linux on the desktop. And this is the equivalent of this being the year of agents that people [00:21:00] are not predicting so much as wishfully thinking and hoping and praying for their companies and agents to work.[00:21:05] swyx (2): But I, I feel like things are. Coming along a little bit. It's to me, it's kind of like self driving. I remember in 2014 saying that self driving was just around the corner. And I mean, it kind of is, you know, like in, in, in the Bay area. You[00:21:17] Simon: get in a Waymo and you're like, Oh, this works. Yeah, but it's a slow[00:21:21] swyx (2): cook.[00:21:21] swyx (2): It's a slow cook over the next 10 years. We're going to hammer out these things and the cynical people can just point to all the flaws, but like, there are measurable or concrete progress steps that are being made by these builders.[00:21:33] Simon: There is one form of agent that I believe in. I believe, mostly believe in the research assistant form of agents.[00:21:39] Simon: The thing where you've got a difficult problem and, and I've got like, I'm, I'm on the beta for the, the Google Gemini 1. 5 pro with deep research. I think it's called like these names, these names. Right. But. I've been using that. It's good, right? You can give it a difficult problem and it tells you, okay, I'm going to look at 56 different websites [00:22:00] and it goes away and it dumps everything to its context and it comes up with a report for you.[00:22:04] Simon: And it's not, it won't work against adversarial websites, right? If there are websites with deliberate lies in them, it might well get caught out. Most things don't have that as a problem. And so I've had some answers from that which were genuinely really valuable to me. And that feels to me like, I can see how given existing LLM tech, especially with Google Gemini with its like million token contacts and Google with their crawl of the entire web and their, they've got like search, they've got search and cache, they've got a cache of every page and so forth.[00:22:35] Simon: That makes sense to me. And that what they've got right now, I don't think it's, it's not as good as it can be, obviously, but it's, it's, it's, it's a real useful thing, which they're going to start rolling out. So, you know, Perplexity have been building the same thing for a couple of years. That, that I believe in.[00:22:50] Simon: You know, if you tell me that you're going to have an agent that's a research assistant agent, great. The coding agents I mean, chat gpt code interpreter, Nearly two years [00:23:00] ago, that thing started writing Python code, executing the code, getting errors, rewriting it to fix the errors. That pattern obviously works.[00:23:07] Simon: That works really, really well. So, yeah, coding agents that do that sort of error message loop thing, those are proven to work. And they're going to keep on getting better, and that's going to be great. The research assistant agents are just beginning to get there. The things I'm critical of are the ones where you trust, you trust this thing to go out and act autonomously on your behalf, and make decisions on your behalf, especially involving spending money, like that.[00:23:31] Simon: I don't see that working for a very long time. That feels to me like an AGI level problem.[00:23:37] swyx (2): It's it's funny because I think Stripe actually released an agent toolkit which is one of the, the things I featured that is trying to enable these agents each to have a wallet that they can go and spend and have, basically, it's a virtual card.[00:23:49] swyx (2): It's not that, not that difficult with modern infrastructure. can[00:23:51] Simon: stick a 50 cap on it, then at least it's an honor. Can't lose more than 50.[00:23:56] Brian: You know I don't, I don't know if either of you know Rafat Ali [00:24:00] he runs Skift, which is a, a travel news vertical. And he, he, he constantly laughs at the fact that every agent thing is, we're gonna get rid of booking a, a plane flight for you, you know?[00:24:11] Brian: And, and I would point out that, like, historically, when the web started, the first thing everyone talked about is, You can go online and book a trip, right? So it's funny for each generation of like technological advance. The thing they always want to kill is the travel agent. And now they want to kill the webpage travel agent.[00:24:29] Simon: Like it's like I use Google flight search. It's great, right? If you gave me an agent to do that for me, it would save me, I mean, maybe 15 seconds of typing in my things, but I still want to see what my options are and go, yeah, I'm not flying on that airline, no matter how cheap they are.[00:24:44] swyx (2): Yeah. For listeners, go ahead.[00:24:47] swyx (2): For listeners, I think, you know, I think both of you are pretty positive on NotebookLM. And you know, we, we actually interviewed the NotebookLM creators, and there are actually two internal agents going on internally. The reason it takes so long is because they're running an agent loop [00:25:00] inside that is fairly autonomous, which is kind of interesting.[00:25:01] swyx (2): For one,[00:25:02] Simon: for a definition of agent loop, if you picked that particularly well. For one definition. And you're talking about the podcast side of this, right?[00:25:07] swyx (2): Yeah, the podcast side of things. They have a there's, there's going to be a new version coming out that, that we'll be featuring at our, at our conference.[00:25:14] Simon: That one's fascinating to me. Like NotebookLM, I think it's two products, right? On the one hand, it's actually a very good rag product, right? You dump a bunch of things in, you can run searches, that, that, it does a good job of. And then, and then they added the, the podcast thing. It's a bit of a, it's a total gimmick, right?[00:25:30] Simon: But that gimmick got them attention, because they had a great product that nobody paid any attention to at all. And then you add the unfeasibly good voice synthesis of the podcast. Like, it's just, it's, it's, it's the lesson.[00:25:43] Brian: It's the lesson of mid journey and stuff like that. If you can create something that people can post on socials, you don't have to lift a finger again to do any marketing for what you're doing.[00:25:53] Brian: Let me dig into Notebook LLM just for a second as a podcaster. As a [00:26:00] gimmick, it makes sense, and then obviously, you know, you dig into it, it sort of has problems around the edges. It's like, it does the thing that all sort of LLMs kind of do, where it's like, oh, we want to Wrap up with a conclusion.[00:26:12] Multimodal AI and Future Prospects[00:26:12] Brian: I always call that like the the eighth grade book report paper problem where it has to have an intro and then, you know But that's sort of a thing where because I think you spoke about this again in your piece at the year end About how things are going multimodal and how things are that you didn't expect like, you know vision and especially audio I think So that's another thing where, at least over the last year, there's been progress made that maybe you, you didn't think was coming as quick as it came.[00:26:43] Simon: I don't know. I mean, a year ago, we had one really good vision model. We had GPT 4 vision, was, was, was very impressive. And Google Gemini had just dropped Gemini 1. 0, which had vision, but nobody had really played with it yet. Like Google hadn't. People weren't taking Gemini [00:27:00] seriously at that point. I feel like it was 1.[00:27:02] Simon: 5 Pro when it became apparent that actually they were, they, they got over their hump and they were building really good models. And yeah, and they, to be honest, the video models are mostly still using the same trick. The thing where you divide the video up into one image per second and you dump that all into the context.[00:27:16] Simon: So maybe it shouldn't have been so surprising to us that long context models plus vision meant that the video was, was starting to be solved. Of course, it didn't. Not being, you, what you really want with videos, you want to be able to do the audio and the images at the same time. And I think the models are beginning to do that now.[00:27:33] Simon: Like, originally, Gemini 1. 5 Pro originally ignored the audio. It just did the, the, like, one frame per second video trick. As far as I can tell, the most recent ones are actually doing pure multimodal. But the things that opens up are just extraordinary. Like, the the ChatGPT iPhone app feature that they shipped as one of their 12 days of, of OpenAI, I really can be having a conversation and just turn on my video camera and go, Hey, what kind of tree is [00:28:00] this?[00:28:00] Simon: And so forth. And it works. And for all I know, that's just snapping a like picture once a second and feeding it into the model. The, the, the things that you can do with that as an end user are extraordinary. Like that, that to me, I don't think most people have cottoned onto the fact that you can now stream video directly into a model because it, it's only a few weeks old.[00:28:22] Simon: Wow. That's a, that's a, that's a, that's Big boost in terms of what kinds of things you can do with this stuff. Yeah. For[00:28:30] swyx (2): people who are not that close I think Gemini Flashes free tier allows you to do something like capture a photo, one photo every second or a minute and leave it on 24, seven, and you can prompt it to do whatever.[00:28:45] swyx (2): And so you can effectively have your own camera app or monitoring app that that you just prompt and it detects where it changes. It detects for, you know, alerts or anything like that, or describes your day. You know, and, and, and the fact that this is free I think [00:29:00] it's also leads into the previous point of it being the prices haven't come down a lot.[00:29:05] Simon: And even if you're paying for this stuff, like a thing that I put in my blog entry is I ran a calculation on what it would cost to process 68, 000 photographs in my photo collection, and for each one just generate a caption, and using Gemini 1. 5 Flash 8B, it would cost me 1. 68 to process 68, 000 images, which is, I mean, that, that doesn't make sense.[00:29:28] Simon: None of that makes sense. Like it's, it's a, for one four hundredth of a cent per image to generate captions now. So you can see why feeding in a day's worth of video just isn't even very expensive to process.[00:29:40] swyx (2): Yeah, I'll tell you what is expensive. It's the other direction. So we're here, we're talking about consuming video.[00:29:46] swyx (2): And this year, we also had a lot of progress, like probably one of the most excited, excited, anticipated launches of the year was Sora. We actually got Sora. And less exciting.[00:29:55] Simon: We did, and then VO2, Google's Sora, came out like three [00:30:00] days later and upstaged it. Like, Sora was exciting until VO2 landed, which was just better.[00:30:05] swyx (2): In general, I feel the media, or the social media, has been very unfair to Sora. Because what was released to the world, generally available, was Sora Lite. It's the distilled version of Sora, right? So you're, I did not[00:30:16] Simon: realize that you're absolutely comparing[00:30:18] swyx (2): the, the most cherry picked version of VO two, the one that they published on the marketing page to the, the most embarrassing version of the soa.[00:30:25] swyx (2): So of course it's gonna look bad, so, well, I got[00:30:27] Simon: access to the VO two I'm in the VO two beta and I've been poking around with it and. Getting it to generate pelicans on bicycles and stuff. I would absolutely[00:30:34] swyx (2): believe that[00:30:35] Simon: VL2 is actually better. Is Sora, so is full fat Sora coming soon? Do you know, when, when do we get to play with that one?[00:30:42] Simon: No one's[00:30:43] swyx (2): mentioned anything. I think basically the strategy is let people play around with Sora Lite and get info there. But the, the, keep developing Sora with the Hollywood studios. That's what they actually care about. Gotcha. Like the rest of us. Don't really know what to do with the video anyway. Right.[00:30:59] Simon: I mean, [00:31:00] that's my thing is I realized that for generative images and images and video like images We've had for a few years and I don't feel like they've broken out into the talented artist community yet Like lots of people are having fun with them and doing and producing stuff. That's kind of cool to look at but what I want you know that that movie everything everywhere all at once, right?[00:31:20] Simon: One, one ton of Oscars, utterly amazing film. The VFX team for that were five people, some of whom were watching YouTube videos to figure out what to do. My big question for, for Sora and and and Midjourney and stuff, what happens when a creative team like that starts using these tools? I want the creative geniuses behind everything, everywhere all at once.[00:31:40] Simon: What are they going to be able to do with this stuff in like a few years time? Because that's really exciting to me. That's where you take artists who are at the very peak of their game. Give them these new capabilities and see, see what they can do with them.[00:31:52] swyx (2): I should, I know a little bit here. So it should mention that, that team actually used RunwayML.[00:31:57] swyx (2): So there was, there was,[00:31:57] Simon: yeah.[00:31:59] swyx (2): I don't know how [00:32:00] much I don't. So, you know, it's possible to overstate this, but there are people integrating it. Generated video within their workflow, even pre SORA. Right, because[00:32:09] Brian: it's not, it's not the thing where it's like, okay, tomorrow we'll be able to do a full two hour movie that you prompt with three sentences.[00:32:15] Brian: It is like, for the very first part of, of, you know video effects in film, it's like, if you can get that three second clip, if you can get that 20 second thing that they did in the matrix that blew everyone's minds and took a million dollars or whatever to do, like, it's the, it's the little bits and pieces that they can fill in now that it's probably already there.[00:32:34] swyx (2): Yeah, it's like, I think actually having a layered view of what assets people need and letting AI fill in the low value assets. Right, like the background video, the background music and, you know, sometimes the sound effects. That, that maybe, maybe more palatable maybe also changes the, the way that you evaluate the stuff that's coming out.[00:32:57] swyx (2): Because people tend to, in social media, try to [00:33:00] emphasize foreground stuff, main character stuff. So you really care about consistency, and you, you really are bothered when, like, for example, Sorad. Botch's image generation of a gymnast doing flips, which is horrible. It's horrible. But for background crowds, like, who cares?[00:33:18] Brian: And by the way, again, I was, I was a film major way, way back in the day, like, that's how it started. Like things like Braveheart, where they filmed 10 people on a field, and then the computer could turn it into 1000 people on a field. Like, that's always been the way it's around the margins and in the background that first comes in.[00:33:36] Brian: The[00:33:36] Simon: Lord of the Rings movies were over 20 years ago. Although they have those giant battle sequences, which were very early, like, I mean, you could almost call it a generative AI approach, right? They were using very sophisticated, like, algorithms to model out those different battles and all of that kind of stuff.[00:33:52] Simon: Yeah, I know very little. I know basically nothing about film production, so I try not to commentate on it. But I am fascinated to [00:34:00] see what happens when, when these tools start being used by the real, the people at the top of their game.[00:34:05] swyx (2): I would say like there's a cultural war that is more that being fought here than a technology war.[00:34:11] swyx (2): Most of the Hollywood people are against any form of AI anyway, so they're busy Fighting that battle instead of thinking about how to adopt it and it's, it's very fringe. I participated here in San Francisco, one generative AI video creative hackathon where the AI positive artists actually met with technologists like myself and then we collaborated together to build short films and that was really nice and I think, you know, I'll be hosting some of those in my events going forward.[00:34:38] swyx (2): One thing that I think like I want to leave it. Give people a sense of it's like this is a recap of last year But then sometimes it's useful to walk away as well with like what can we expect in the future? I don't know if you got anything. I would also call out that the Chinese models here have made a lot of progress Hyde Law and Kling and God knows who like who else in the video arena [00:35:00] Also making a lot of progress like surprising him like I think maybe actually Chinese China is surprisingly ahead with regards to Open8 at least, but also just like specific forms of video generation.[00:35:12] Simon: Wouldn't it be interesting if a film industry sprung up in a country that we don't normally think of having a really strong film industry that was using these tools? Like, that would be a fascinating sort of angle on this. Mm hmm. Mm hmm.[00:35:25] swyx (2): Agreed. I, I, I Oh, sorry. Go ahead.[00:35:29] Exploring Video Avatar Companies[00:35:29] swyx (2): Just for people's Just to put it on people's radar as well, Hey Jen, there's like there's a category of video avatar companies that don't specifically, don't specialize in general video.[00:35:41] swyx (2): They only do talking heads, let's just say. And HeyGen sings very well.[00:35:45] Brian: Swyx, you know that that's what I've been using, right? Like, have, have I, yeah, right. So, if you see some of my recent YouTube videos and things like that, where, because the beauty part of the HeyGen thing is, I, I, I don't want to use the robot voice, so [00:36:00] I record the mp3 file for my computer, And then I put that into HeyGen with the avatar that I've trained it on, and all it does is the lip sync.[00:36:09] Brian: So it looks, it's not 100 percent uncanny valley beatable, but it's good enough that if you weren't looking for it, it's just me sitting there doing one of my clips from the show. And, yeah, so, by the way, HeyGen. Shout out to them.[00:36:24] AI Influencers and Their Future[00:36:24] swyx (2): So I would, you know, in terms of like the look ahead going, like, looking, reviewing 2024, looking at trends for 2025, I would, they basically call this out.[00:36:33] swyx (2): Meta tried to introduce AI influencers and failed horribly because they were just bad at it. But at some point that there will be more and more basically AI influencers Not in a way that Simon is but in a way that they are not human.[00:36:50] Simon: Like the few of those that have done well, I always feel like they're doing well because it's a gimmick, right?[00:36:54] Simon: It's a it's it's novel and fun to like Like that, the AI Seinfeld thing [00:37:00] from last year, the Twitch stream, you know, like those, if you're the only one or one of just a few doing that, you'll get, you'll attract an audience because it's an interesting new thing. But I just, I don't know if that's going to be sustainable longer term or not.[00:37:11] Simon: Like,[00:37:12] Simplifying Content Creation with AI[00:37:12] Brian: I'm going to tell you, Because I've had discussions, I can't name the companies or whatever, but, so think about the workflow for this, like, now we all know that on TikTok and Instagram, like, holding up a phone to your face, and doing like, in my car video, or walking, a walk and talk, you know, that's, that's very common, but also, if you want to do a professional sort of talking head video, you still have to sit in front of a camera, you still have to do the lighting, you still have to do the video editing, versus, if you can just record, what I'm saying right now, the last 30 seconds, If you clip that out as an mp3 and you have a good enough avatar, then you can put that avatar in front of Times Square, on a beach, or whatever.[00:37:50] Brian: So, like, again for creators, the reason I think Simon, we're on the verge of something, it, it just, it's not going to, I think it's not, oh, we're going to have [00:38:00] AI avatars take over, it'll be one of those things where it takes another piece of the workflow out and simplifies it. I'm all[00:38:07] Simon: for that. I, I always love this stuff.[00:38:08] Simon: I like tools. Tools that help human beings do more. Do more ambitious things. I'm always in favor of, like, that, that, that's what excites me about this entire field.[00:38:17] swyx (2): Yeah. We're, we're looking into basically creating one for my podcast. We have this guy Charlie, he's Australian. He's, he's not real, but he pre, he opens every show and we are gonna have him present all the shorts.[00:38:29] Simon: Yeah, go ahead.[00:38:30] The Importance of Credibility in AI[00:38:30] Simon: The thing that I keep coming back to is this idea of credibility like in a world that is full of like AI generated everything and so forth It becomes even more important that people find the sources of information that they trust and find people and find Sources that are credible and I feel like that's the one thing that LLMs and AI can never have is credibility, right?[00:38:49] Simon: ChatGPT can never stake its reputation on telling you something useful and interesting because That means nothing, right? It's a matrix multiplication. It depends on who prompted it and so forth. So [00:39:00] I'm always, and this is when I'm blogging as well, I'm always looking for, okay, who are the reliable people who will tell me useful, interesting information who aren't just going to tell me whatever somebody's paying them to tell, tell them, who aren't going to, like, type a one sentence prompt into an LLM and spit out an essay and stick it online.[00:39:16] Simon: And that, that to me, Like, earning that credibility is really important. That's why a lot of my ethics around the way that I publish are based on the idea that I want people to trust me. I want to do things that, that gain credibility in people's eyes so they will come to me for information as a trustworthy source.[00:39:32] Simon: And it's the same for the sources that I'm, I'm consulting as well. So that's something I've, I've been thinking a lot about that sort of credibility focus on this thing for a while now.[00:39:40] swyx (2): Yeah, you can layer or structure credibility or decompose it like so one thing I would put in front of you I'm not saying that you should Agree with this or accept this at all is that you can use AI to generate different Variations and then and you pick you as the final sort of last mile person that you pick The last output and [00:40:00] you put your stamp of credibility behind that like that everything's human reviewed instead of human origin[00:40:04] Simon: Yeah, if you publish something you need to be able to put it on the ground Publishing it.[00:40:08] Simon: You need to say, I will put my name to this. I will attach my credibility to this thing. And if you're willing to do that, then, then that's great.[00:40:16] swyx (2): For creators, this is huge because there's a fundamental asymmetry between starting with a blank slate versus choosing from five different variations.[00:40:23] Brian: Right.[00:40:24] Brian: And also the key thing that you just said is like, if everything that I do, if all of the words were generated by an LLM, if the voice is generated by an LLM. If the video is also generated by the LLM, then I haven't done anything, right? But if, if one or two of those, you take a shortcut, but it's still, I'm willing to sign off on it.[00:40:47] Brian: Like, I feel like that's where I feel like people are coming around to like, this is maybe acceptable, sort of.[00:40:53] Simon: This is where I've been pushing the definition. I love the term slop. Where I've been pushing the definition of slop as AI generated [00:41:00] content that is both unrequested and unreviewed and the unreviewed thing is really important like that's the thing that elevates something from slop to not slop is if A human being has reviewed it and said, you know what, this is actually worth other people's time.[00:41:12] Simon: And again, I'm willing to attach my credibility to it and say, hey, this is worthwhile.[00:41:16] Brian: It's, it's, it's the cura curational, curatorial and editorial part of it that no matter what the tools are to do shortcuts, to do, as, as Swyx is saying choose between different edits or different cuts, but in the end, if there's a curatorial mind, Or editorial mind behind it.[00:41:32] Brian: Let me I want to wedge this in before we start to close.[00:41:36] The Future of LLM User Interfaces[00:41:36] Brian: One of the things coming back to your year end piece that has been a something that I've been banging the drum about is when you're talking about LLMs. Getting harder to use. You said most users are thrown in at the deep end.[00:41:48] Brian: The default LLM chat UI is like taking brand new computer users, dropping them into a Linux terminal and expecting them to figure it all out. I mean, it's, it's literally going back to the command line. The command line was defeated [00:42:00] by the GUI interface. And this is what I've been banging the drum about is like, this cannot be.[00:42:05] Brian: The user interface, what we have now cannot be the end result. Do you see any hints or seeds of a GUI moment for LLM interfaces?[00:42:17] Simon: I mean, it has to happen. It absolutely has to happen. The the, the, the, the usability of these things is turning into a bit of a crisis. And we are at least seeing some really interesting innovation in little directions.[00:42:28] Simon: Just like OpenAI's chat GPT canvas thing that they just launched. That is at least. Going a little bit more interesting than just chat, chats and responses. You know, you can, they're exploring that space where you're collaborating with an LLM. You're both working in the, on the same document. That makes a lot of sense to me.[00:42:44] Simon: Like that, that feels really smart. The one of the best things is still who was it who did the, the UI where you could, they had a drawing UI where you draw an interface and click a button. TL draw would then make it real thing. That was spectacular, [00:43:00] absolutely spectacular, like, alternative vision of how you'd interact with these models.[00:43:05] Simon: Because yeah, the and that's, you know, so I feel like there is so much scope for innovation there and it is beginning to happen. Like, like, I, I feel like most people do understand that we need to do better in terms of interfaces that both help explain what's going on and give people better tools for working with models.[00:43:23] Simon: I was going to say, I want to[00:43:25] Brian: dig a little deeper into this because think of the conceptual idea behind the GUI, which is instead of typing into a command line open word. exe, it's, you, you click an icon, right? So that's abstracting away sort of the, again, the programming stuff that like, you know, it's, it's a, a, a child can tap on an iPad and, and make a program open, right?[00:43:47] Brian: The problem it seems to me right now with how we're interacting with LLMs is it's sort of like you know a dumb robot where it's like you poke it and it goes over here, but no, I want it, I want to go over here so you poke it this way and you can't get it exactly [00:44:00] right, like, what can we abstract away from the From the current, what's going on that, that makes it more fine tuned and easier to get more precise.[00:44:12] Brian: You see what I'm saying?[00:44:13] Simon: Yes. And the this is the other trend that I've been following from the last year, which I think is super interesting. It's the, the prompt driven UI development thing. Basically, this is the pattern where Claude Artifacts was the first thing to do this really well. You type in a prompt and it goes, Oh, I should answer that by writing a custom HTML and JavaScript application for you that does a certain thing.[00:44:35] Simon: And when you think about that take and since then it turns out This is easy, right? Every decent LLM can produce HTML and JavaScript that does something useful. So we've actually got this alternative way of interacting where they can respond to your prompt with an interactive custom interface that you can work with.[00:44:54] Simon: People haven't quite wired those back up again. Like, ideally, I'd want the LLM ask me a [00:45:00] question where it builds me a custom little UI, For that question, and then it gets to see how I interacted with that. I don't know why, but that's like just such a small step from where we are right now. But that feels like such an obvious next step.[00:45:12] Simon: Like an LLM, why should it, why should you just be communicating with, with text when it can build interfaces on the fly that let you select a point on a map or or move like sliders up and down. It's gonna create knobs and dials. I keep saying knobs and dials. right. We can do that. And the LLMs can build, and Claude artifacts will build you a knobs and dials interface.[00:45:34] Simon: But at the moment they haven't closed the loop. When you twiddle those knobs, Claude doesn't see what you were doing. They're going to close that loop. I'm, I'm shocked that they haven't done it yet. So yeah, I think there's so much scope for innovation and there's so much scope for doing interesting stuff with that model where the LLM, anything you can represent in SVG, which is almost everything, can now be part of that ongoing conversation.[00:45:59] swyx (2): Yeah, [00:46:00] I would say the best executed version of this I've seen so far is Bolt where you can literally type in, make a Spotify clone, make an Airbnb clone, and it actually just does that for you zero shot with a nice design.[00:46:14] Simon: There's a benchmark for that now. The LMRena people now have a benchmark that is zero shot app, app generation, because all of the models can do it.[00:46:22] Simon: Like it's, it's, I've started figuring out. I'm building my own version of this for my own project, because I think within six months. I think it'll just be an expected feature. Like if you have a web application, why don't you have a thing where, oh, look, the, you can add a custom, like, so for my dataset data exploration project, I want you to be able to do things like conjure up a dashboard, just via a prompt.[00:46:43] Simon: You say, oh, I need a pie chart and a bar chart and put them next to each other, and then have a form where submitting the form inserts a row into my database table. And this is all suddenly feasible. It's, it's, it's not even particularly difficult to do, which is great. Utterly bizarre that these things are now easy.[00:47:00][00:47:00] swyx (2): I think for a general audience, that is what I would highlight, that software creation is becoming easier and easier. Gemini is now available in Gmail and Google Sheets. I don't write my own Google Sheets formulas anymore, I just tell Gemini to do it. And so I think those are, I almost wanted to basically somewhat disagree with, with your assertion that LMS got harder to use.[00:47:22] swyx (2): Like, yes, we, we expose more capabilities, but they're, they're in minor forms, like using canvas, like web search in, in in chat GPT and like Gemini being in, in Excel sheets or in Google sheets, like, yeah, we're getting, no,[00:47:37] Simon: no, no, no. Those are the things that make it harder, because the problem is that for each of those features, they're amazing.[00:47:43] Simon: If you understand the edges of the feature, if you're like, okay, so in Google, Gemini, Excel formulas, I can get it to do a certain amount of things, but I can't get it to go and read a web. You probably can't get it to read a webpage, right? But you know, there are, there are things that it can do and things that it can't do, which are completely undocumented.[00:47:58] Simon: If you ask it what it [00:48:00] can and can't do, they're terrible at answering questions about that. So like my favorite example is Claude artifacts. You can't build a Claude artifact that can hit an API somewhere else. Because the cause headers on that iframe prevents accessing anything outside of CDNJS. So, good luck learning cause headers as an end user in order to understand why Like, I've seen people saying, oh, this is rubbish.[00:48:26] Simon: I tried building an artifact that would run a prompt and it couldn't because Claude didn't expose an API with cause headers that all of this stuff is so weird and complicated. And yeah, like that, that, the more that with the more tools we add, the more expertise you need to really, To understand the full scope of what you can do.[00:48:44] Simon: And so it's, it's, I wouldn't say it's, it's, it's, it's like, the question really comes down to what does it take to understand the full extent of what's possible? And honestly, that, that's just getting more and more involved over time.[00:48:58] Local LLMs: A Growing Interest[00:48:58] swyx (2): I have one more topic that I, I [00:49:00] think you, you're kind of a champion of and we've touched on it a little bit, which is local LLMs.[00:49:05] swyx (2): And running AI applications on your desktop, I feel like you are an early adopter of many, many things.[00:49:12] Simon: I had an interesting experience with that over the past year. Six months ago, I almost completely lost interest. And the reason is that six months ago, the best local models you could run, There was no point in using them at all, because the best hosted models were so much better.[00:49:26] Simon: Like, there was no point at which I'd choose to run a model on my laptop if I had API access to Cloud 3. 5 SONNET. They just, they weren't even comparable. And that changed, basically, in the past three months, as the local models had this step changing capability, where now I can run some of these local models, and they're not as good as Cloud 3.[00:49:45] Simon: 5 SONNET, but they're not so far away that It's not worth me even using them. The other, the, the, the, the continuing problem is I've only got 64 gigabytes of RAM, and if you run, like, LLAMA370B, it's not going to work. Most of my RAM is gone. So now I have to shut down my Firefox tabs [00:50:00] and, and my Chrome and my VS Code windows in order to run it.[00:50:03] Simon: But it's got me interested again. Like, like the, the efficiency improvements are such that now, if you were to like stick me on a desert island with my laptop, I'd be very productive using those local models. And that's, that's pretty exciting. And if those trends continue, and also, like, I think my next laptop, if when I buy one is going to have twice the amount of RAM, At which point, maybe I can run the, almost the top tier, like open weights models and still be able to use it as a computer as well.[00:50:32] Simon: NVIDIA just announced their 3, 000 128 gigabyte monstrosity. That's pretty good price. You know, that's that's, if you're going to buy it,[00:50:42] swyx (2): custom OS and all.[00:50:46] Simon: If I get a job, if I, if, if, if I have enough of an income that I can justify blowing $3,000 on it, then yes.[00:50:52] swyx (2): Okay, let's do a GoFundMe to get Simon one it.[00:50:54] swyx (2): Come on. You know, you can get a job anytime you want. Is this, this is just purely discretionary .[00:50:59] Simon: I want, [00:51:00] I want a job that pays me to do exactly what I'm doing already and doesn't tell me what else to do. That's, thats the challenge.[00:51:06] swyx (2): I think Ethan Molik does pretty well. Whatever, whatever it is he's doing.[00:51:11] swyx (2): But yeah, basically I was trying to bring in also, you know, not just local models, but Apple intelligence is on every Mac machine. You're, you're, you seem skeptical. It's rubbish.[00:51:21] Simon: Apple intelligence is so bad. It's like, it does one thing well.[00:51:25] swyx (2): Oh yeah, what's that? It summarizes notifications. And sometimes it's humorous.[00:51:29] Brian: Are you sure it does that well? And also, by the way, the other, again, from a sort of a normie point of view. There's no indication from Apple of when to use it. Like, everybody upgrades their thing and it's like, okay, now you have Apple Intelligence, and you never know when to use it ever again.[00:51:47] swyx (2): Oh, yeah, you consult the Apple docs, which is MKBHD.[00:51:49] swyx (2): The[00:51:51] Simon: one thing, the one thing I'll say about Apple Intelligence is, One of the reasons it's so disappointing is that the models are just weak, but now, like, Llama 3b [00:52:00] is Such a good model in a 2 gigabyte file I think give Apple six months and hopefully they'll catch up to the state of the art on the small models And then maybe it'll start being a lot more interesting.[00:52:10] swyx (2): Yeah. Anyway, I like This was year one And and you know just like our first year of iPhone maybe maybe not that much of a hit and then year three They had the App Store so Hey I would say give it some time, and you know, I think Chrome also shipping Gemini Nano I think this year in Chrome, which means that every app, every web app will have for free access to a local model that just ships in the browser, which is kind of interesting.[00:52:38] swyx (2): And then I, I think I also wanted to just open the floor for any, like, you know, any of us what are the apps that, you know, AI applications that we've adopted that have, that we really recommend because these are all, you know, apps that are running on our browser that like, or apps that are running locally that we should be, that, that other people should be trying.[00:52:55] swyx (2): Right? Like, I, I feel like that's, that's one always one thing that is helpful at the start of the [00:53:00] year.[00:53:00] Simon: Okay. So for running local models. My top picks, firstly, on the iPhone, there's this thing called MLC Chat, which works, and it's easy to install, and it runs Llama 3B, and it's so much fun. Like, it's not necessarily a capable enough novel that I use it for real things, but my party trick right now is I get my phone to write a Netflix Christmas movie plot outline where, like, a bunch of Jeweller falls in love with the King of Sweden or whatever.[00:53:25] Simon: And it does a good job and it comes up with pun names for the movies. And that's, that's deeply entertaining. On my laptop, most recently, I've been getting heavy into, into Olama because the Olama team are very, very good at finding the good models and patching them up and making them work well. It gives you an API.[00:53:42] Simon: My little LLM command line tool that has a plugin that talks to Olama, which works really well. So that's my, my Olama is. I think the easiest on ramp to to running models locally, if you want a nice user interface, LMStudio is, I think, the best user interface [00:54:00] thing at that. It's not open source. It's good.[00:54:02] Simon: It's worth playing with. The other one that I've been trying with recently, there's a thing called, what's it called? Open web UI or something. Yeah. The UI is fantastic. It, if you've got Olama running and you fire this thing up, it spots Olama and it gives you an interface onto your Olama models. And t

Agile Mentors Podcast
#121: Busting the Biggest Myths About Agile Tools with Steve Spearman

Agile Mentors Podcast

Play Episode Listen Later Oct 23, 2024 38:29


Can Agile tools really teach you Agile practices, or are they just supporting players? Join Brian and Steve Spearman as they unpack the myths surrounding tools like Jira and discover why the process should always come before the tool. Overview In this episode of the Agile Mentors Podcast, Brian Milner and Steve Spearman debunk common myths about Agile tools, with a special focus on Jira. They stress that tools are not a replacement for Agile principles, and the process should guide the choice of tools, not the reverse. The conversation dives into how Agile tools can enhance transparency, why communication is key to effective Agile practices, and the importance of adapting tools to fit unique team workflows. References and resources mentioned in the show: Steve Spearman #43: Cultivating Agile Team Culture in a Virtual World with Richard Cheng #29: Influencing Up with Scott Dunn #71: The World of DevOps with Carlos Nunez Jira Miro Mural Trello SAFe LeSS Certified ScrumMaster® Training and Scrum Certification Certified Scrum Product Owner® Training Mountain Goat Software Certified Scrum and Agile Training Schedule Join the Agile Mentors Community Subscribe to the Agile Mentors Podcast Want to get involved? This show is designed for you, and we’d love your input. Enjoyed what you heard today? Please leave a rating and a review. It really helps, and we read every single one. Got an Agile subject you’d like us to discuss or a question that needs an answer? Share your thoughts with us at podcast@mountaingoatsoftware.com This episode’s presenters are: Brian Milner is SVP of coaching and training at Mountain Goat Software. He's passionate about making a difference in people's day-to-day work, influenced by his own experience of transitioning to Scrum and seeing improvements in work/life balance, honesty, respect, and the quality of work. Steve Spearman is a Certified Scrum Trainer® and Agile coach, passionate about helping teams thrive, drive business improvements, and master the art of managing change. With expertise in Agile training, scaled Agile, and leadership, Steve empowers organizations to navigate their Agile journeys smoothly and effectively. Auto-generated Transcript: Brian (00:00) Welcome in Agile Mentors. We're back for another episode of the Agile Mentors Podcast. I'm with you as always, Brian Milner. And today I have a very good friend of mine, a mentor of mine, Mr. Steve Spearman is with me. Welcome to the podcast, Steve. Steve (00:14) Thank you, Brian. It's great to be here with you. Nice to see you. Brian (00:17) Nice to see you as well. Yeah, Steve helped me out when I was trying to become a CST and I got to learn a lot from him, watching him teach his classes. So he's a pro. He's a CST, he's a coach and trainer and if you're interested, I recommend his classes. I think he's an excellent trainer and would have no hesitation sending anyone to one of Steve's classes. We wanted to have Steve on because we had this topic that got, actually, this is a listener suggestion. So we're always happy to take listener suggestions. And this is one that one of you sent in saying that you wanted us to kind of dive into and discuss a little bit about myths that are out there about Agile tools. So Steve, what does that mean to you? are some of the, is there a main kind of myth that you? you've heard more often than others about Agile tools. Steve (01:16) I think, Brian, the one we hear all the time, right, is this one that essentially Jira is Agile, right? And we're like, well, Jira is a very popular tool for people to use with Agile. It's might or might not be like most of us who do this. That may not be our favorite, honestly, but it is very popular for some pretty good reasons. So that's, I think, the most common one. And then just the idea that somehow it gets to the confusion people have about being a methodology and stuff, right? That essentially, if you just would implement the tool, then you'd be doing Scrum well, right? And that would be the important thing when in fact, I think most of our recommendations would be a little bit the opposite of that, right? Which is to come up with your own approach to doing things in Scrum and then maybe figure out a tool that helps you with that. Brian (02:06) Yeah, I agree. I've heard that quite often. And I've encountered organizations in my career where I'll ask them if they're Agile or if they are familiar with or no Agile. yeah, we have JIRA. OK, well, not quite what I was asking, but I appreciate the sentiment. But yeah, I mean, I agree. There's probably some mixed reviews on that as a tool. Steve (02:24) Yeah. Brian (02:36) I mean, personally, I'll say I've used it to run, you know, Agile organizations before. I'm not a hater of it. I think it's fine. I think it works. I mean, I don't know what your opinion here is, Steve, but people often ask me if there's a tool I recommend to kind of run projects and. You know, my standard answer is there's not one that I think is better and outshines all the rest. I think they all have their strengths and weaknesses and you just kind of have to tweak and adjust them to make them match, you know, your process. But that's the key, right? Is that process over the tool. Steve (03:17) Yeah. I've, you know, Jira I think is popular for a lot of reasons. One is, usually it's about half the per seat cost of a lot of the other ones. And so that for a lot of companies right there, that's that's a pretty big factor thing. I liked about it. Maybe similar to your experience, Brian was that if you're a little bit more of a techie, it's pretty programmable. You can go in and you could tweak it and you can make it do all kinds of things. And so that's maybe it's strength and it's weakness that it takes a little more investment, but you can do quite a bit with. Brian (03:47) Yeah, I agree. It is pretty flexible. The main thing I try to tell people who use it and are asking about, this going to be viable? Will it work for our purposes? The main thing I think they have to understand is the history of it. The Jira is really a bug tracking software. Well, let me be clear. It was created as a bug tracking software, right? Right. Steve (04:12) Yeah, ticketing system in general, yeah. Brian (04:15) Right, a ticket system. And when you know that, and then you get into the nomenclature and you look at the layout of how everything is within it, that makes sense. can see, cause you know, like the standard thing there is an issue, right? There's different issue types, but the standard thing is an issue. Well, that's because it was meant to handle support issues. Steve (04:35) Yeah. And also the, you know, we commonly use the word tasks, of course, in Scrum, not an official thing, but a very common thing we talk about. And Jira speak is subtasks. And that's just history again, of, know, where it came from. And, you know, a long, long time ago, you had to have a plugin to Jira to do Agile. It was originally called, I believe, Grasshopper many, many years ago. And then they ended up just calling it like Jira Agile for a very long time. And then as... Brian (04:57) Yep. Steve (05:04) it became a bigger and bigger piece of their market, they just kind of wrapped it all up in JIRA now, I think. Brian (05:09) Yeah, we both been around long enough to have been part of those days. So I remember those very well. Yeah, I mean, like I said, I think JIRA will do a fine job for you if that's what you're with. wouldn't, you some organizations using it, I wouldn't say, by all means stop and use something else. I think you can make it work. I think you just have to look at it and say, all right, I understand this is based on this. So now I just need to configure it and adapt it. really for the process we want to do. And I know from my standpoint, I've used it multiple times where when you configure it the right way, it will handle things the way that you, at least from my perspective, the way I usually think is the right way to implement it with a team or an organization. So it works. I can make it work. It just takes some tweaking. I guess for mine, but yeah, it's not Agile. It's not being Agile just because you're using Jira. Steve (06:11) Yeah, and it's kind of the good and the bad thing about tools. think people like them because, you know, I can assign people tickets and things like that, you know, and so like, you know, people, it's clear who's got things and stuff. That's also a weakness though, too, because it, you might say, all I have to do is assign it in the tool and I don't have to talk to you now. I just say, look, you, I signed you this ticket or something. And that's not great from my perspective. And then the other one is that when you, when you, change states and things in the tool. That lets everybody know where things are, and that's good, and it gives you tons of reports and things, and people like those. But it's also less visual than a lot of us are, which back in the day, we liked sticky notes on a board. I that was the thing. That was the thing. And so what I'm leaning toward myself a little more these days is tools like Muro and Mural and so forth that are very visual, and they're often sticky note-based kind of things. Brian (06:55) Yeah. Steve (07:09) And that allows you to do a lot of the stuff we used to do physically, but they don't have the same reporting capabilities. And so that's where we get these trade-offs that I think we're going to see with these tools. Brian (07:22) Yeah, I agree. I agree. Yeah. I'm, I'm, I'm the same way. And in fact, you know, when I said that earlier, someone asked me what my favorite tool is, you know, I said, my default answer is usually I don't have a favorite, but, if they push me, what I'll tell them is my favorite is just no cards or post-it notes, you know, like that's really, that's really what I, I have found works best. But, yeah, something like Miro or mural, I think is a, is a great, kind of virtual replacement for that. Cause it's just so open. and you can configure it however you want. It's not going to pull a report for you. You have to understand that. But it is the equivalent of having a virtual wipe. Steve (08:05) Exactly. And that's just, it's kind of a halfway physical feeling thing for our virtual world, which I think is helpful. Another interesting thing that I haven't played with a lot myself is that I know now in Miro, a sticky note in Miro can now be tied directly to a ticket in Jira. And so effectively you could have like the backend framework of Jira with a pretty front end on top of it or something is kind of how that looks like to me. So Brian (08:23) wow. Steve (08:32) I think that's got some promise maybe to give us both that physical thing that some of us miss while still having that reporting structure that a lot of our companies kind of want. Brian (08:41) Yeah, that's awesome. Yeah, that speaks to what you were saying earlier about that it's highly configurable. can make it do a lot of things. You just have to get into the guts of it a little bit. Steve (08:52) You know, another thing about the tool market here, know, Brian, I was just looking this up, not like I knew this, but apparently it's a $5 billion market this year, Agile tool, and it is projected to go up to 13 in the next 10 or 12 years. So it's serious money. And this is why there are so many players now, right? I mean, the number of tools out there now is just, I've lost track of them. I know it's easily 20 plus tools out there. Now there are... Brian (08:57) Haha. Steve (09:19) Certainly the most common ones that we think about, Jira is probably number one. Asana comes up a lot. Rally is a long time one that comes up quite a bit. Interestingly, one of our biggest ones from years ago that did such great reporting out on the network for us and great Agile materials was version one. It was a super, super popular one. Brian (09:43) Yeah. Steve (09:45) And when you look now, they are a fairly small player percentage-wise in the market. So there's been a lot of shifting here. And of course, Microsoft shops tend to go toward Microsoft tools. And so there's that factor that goes on here, too. So it's not trivial to figure out which tool you would want to use here. Brian (10:02) Yeah, that often drives a lot of even discussion in the classes, I know, from people who say, what do you, you know, they'll bring up a term like feature and say, what's, how does Scrum define? Well, Scrum doesn't define what a feature is, you know, like that's, that's a term that comes from your tool. And, know, that your tool might have a definition for it, but you know, Scrum doesn't. So, yeah. Steve (10:23) One of the challenges I think is also that because scaled Agile has become such a big factor these days, almost all the tools have adopted their terminology. so terms like epics and features and things, most of these come from scaled Agile. And if you're doing scaled Agile, that's great, right? If you're not, it can be a little confusing. So for example, I think it was, Mike Cohn maybe, who said that epic, he famously defined as being a story too big to fit into a script. That was sort of the definition of an epic. And now in most of the tools, an epic is something giant that you have a handful of in three months or something. So yeah, there is some terminology confusion out there now as well. Brian (11:16) Yeah, which may have all come from just the tools. You hit on something a little bit earlier that I had as one of my kind of common myths here around tools. And that was that these Agile tools replace the need for just the typical communication that we have. Because as you said, I can assign something to someone else. that way, I don't have to talk to them. I just put it in their queue. And it's there. And I think that's a huge myth here with the Agile tools is, you know, my, my, my goal with any kind of tool, whether it's a software tool or whether it's a, a template or something that I'm using for a specific thing, like story mapping or whatever, my, my goal for any of those things is that it drives conversation, right? That it is an encourager of conversation, not that it is something that takes away from or detracts. from conversation and communication. So I think that's a big myth sometimes is that people, even if it's unspoken, right, there's just sort of with some people an assumption that because the tool communicates and because the tool can communicate between people, I don't have to actually talk to anyone. And that's that couldn't be further from the truth to do Scrum well. Steve (12:33) I think it gets us to another subtle thing in the scrum that you know scrum that could say more clearly maybe than it does. But that is shown as a good pattern in our pattern site, you know, the one called scrumplop.org. The idea that we should swarm as teams, you know, is something that I think a lot of us feel is a really important concept. And swarming is this kind of strange idea that says you know, don't give everybody their own work item and then just say disappear, go do it, you know, good luck. Instead, we try to work more closely like teams on the same items, divided up, work together closely. And this of course involves a lot of communication, a lot of needing to talk to each other. And so sometimes people say, well, can we just send out a Slack message or something, you know, every now and then and say, hey, you know, I'm done with mine. You can, but I think it's sort of missing the the really cool back and forth of a true swarming culture where it's like, hey, is anybody ready to pick up a piece of code and run the testing on this one? I'm gonna move on to the next one. Swarming was this idea of doing things in short cycles and gets into issues of test-driven development and things like this. so none of the tools really help you with that concept at all. And they may even hurt you with it little bit, in my opinion. Brian (13:49) Yeah, absolutely agree. And I'm absolutely on board with you. I think that's such a vital component of it. I tell people in classes, you know, I know sometimes people get a little frustrated with sports analogies, but I tell them, you know, Scrum is a sports analogy at its core. You know, it's a rugby thing. the other thing I kind of think about is if you've ever gone to see, and I know lots of us have done this in our life, but you've ever seen a kid sport kind of team sport. If you ever stand on the sidelines of a kid's soccer or most of you out there, most of the world would say football. But you know, if you ever stand on a side of a field like that, what the coaches are constantly yelling at the kids is talk to each other, right? Communicate, talk to each other. And they recognize, you you recognize in that kind of a team sport how important it is to, you know, call for the ball or or just let people know where you are or where you're going. And that same thing is what we want with our Scrum teams. We want people to be able to just constantly talk to each other. So you're right. I think sometimes the tool might actually get in the way of that communication and just could create some communication problems. Which tool are we talking on? Which tool do I look for for that kind of a conversation or whatever? And it just can get lost in the shuffle sometimes. Steve (15:13) You know, the rugby analogy is such a core one for us, but it's getting to be kind of old history now because the whole rugby analogy came out of this original lean paper, right? Long, long time ago. And the reason they chose rugby, you know, is one of the reasons they chose rugby. Rugby is such an interactive thing. So unlike American football where, you know, you run down the field and you can, you know, you can only throw the ball once and then you run and try not to get tackled. In rugby, you throw the ball back and forth constantly. Continuous interaction and basically the guys from Toyota said look we got to learn to treat our teams like rugby teams When they're on the field don't be on the sideline yelling throw it to Brian You know let them figure it out themselves, and that's the whole concept of a self-managing team Which you know is a really big concept for us in scrum and one that a lot of companies struggle with Brian (15:54) You By the way, if there was anything being yelled with my name on it from the sideline, would not be throw it to Brian. It would be don't throw it to Brian. That would be the response. Yeah, absolutely agree. What else, Steve? What other kind of myths have you heard or do you commonly hear about Agile tools? Steve (16:24) I think one of them is the idea that there is a right tool because there are real pros and cons to all the tools and some of them are much more advanced than others and yet some of them are a lot more expensive than others. Some of them are tuned for people who work in Microsoft shops. Some of them are tied to particular tools like GitHub or something like that. So figuring out the right tool is a non-trivial exercise, I guess is what I would say. And especially if you're going to wedge yourself to a tool, I think doing some prototyping, some research. The good news is the vast majority of them have free versions. You can go out and try. I often get asked things like, are you going to teach us Jira in this class or something? And the answer is no. No, I'm not. It's just one of 20 plus tools. But the other thing is that The good news is tools are a lot simpler than Scrum and Agile are. Scrum and Agile are tricky, they're subtle, they're hard to understand. They're a lot about humans and interactions and patterns and these tricky things. Tools are relatively straightforward and there are free videos on how to use Jira out there. There's a public version of it you can go get and it's true for the others too. So anybody who's really looking for a tool, that'd be my recommendation. Go out and... Find a few of popular ones, go check them out, get a free version, watch some videos. I don't think you'll probably find you a class for that. Brian (17:54) Yeah, I agree. I mean, and if you do, know, you know, again, don't want to make this sound like we're only talking about Jira, but I know for things like that, I've seen, you know, meetup groups that are dedicated to those purposes that you can find on like meetup.com or other things where you can, you know, maybe go once a month or so and learn something about it for free. So there's lots of stuff like that that's out there. But yeah, I absolutely agree that, you know, As I said, I don't recommend one specific tool. And I think the thing that's kind of really important there when you're selecting a tool is to know what your process is first. Don't get the tool to set your process, find what your process should be, and then find the tool that's going to fit with that. It's the whole individuals and interactions over processes and tools. We don't want the tool to drive what we do. And unfortunately, I've been a part of several organizations where, hey, we use this tool and the tool only works this way. So that's the way we work, whether it's right or wrong for us. And that's just a terrible way going about it. Steve (19:03) Yeah. And unfortunately, most of the tools do force you to some degree into their approach, right? Because there is a struggle, I'm sure, for toolmakers between you could make it completely general, like here's some sticky notes, just go do whatever with them, you know, which is kind of what you do with a Miro or a Miro board. But most of them have tried to make it more, you know, you do this and then you do this and then you do this and it kind of leads you through it. And that seems like it would be helpful, right? But at the same time, it means they've already decided that the right sequence is to do this and to do this and to do this. And so just got to watch out for when is the tool prescribing your approach and when is it there to facilitate your approach. Brian (19:50) Yeah, I agree. I'll tell you another one that I've heard quite often that I always kind of makes the hair on my spine kind of stand on end is when people seem to take this approach that the Agile tool itself is going to teach them how to become Agile. You know, it's kind of akin to the idea of because we have Jira, we're Agile or some, you know, fill in the blank or whatever tool it is that you would be using. But yeah, I've seen different teams or organizations that take that approach of, well, we're buying this software. And so we'll learn by using this software how to be Agile because it's an Agile tool. It's an Agile software. So everything we need will just be, we'll come by osmosis because we have this tool in place. yeah, I found that to be just a terrible approach. If you don't have some kind of a some guide, right? If you don't have somebody to guide you through that in any way, shape or form, then you're lost in the wilderness. You just don't have anyone to help you find your way. And the fact that you have a tool that could be useful doesn't mean it's going to teach you how to be useful, right? You have to know, knowing Agile is not knowing the tool. Steve (21:11) It's like, imagine going to a Ferrari dealer and deciding you're going to buy a Ferrari. And you've driven a Honda Civic, so you feel pretty comfortable with driving. And they give you a 10-minute overview of the dashboard of the Ferrari that you just purchased. And they say, I hear you're planning on racing professionally next month. Good luck with that. Brian (21:17) Right. Steve (21:37) And because I can sort of drive the car, I can therefore win races, you know, at the, no, right? No. So now we both are going to be a little biased here as trainers, obviously, but I think we pretty strongly feel like without somebody to help guide you through the subtleties of things like Scrum and Agile thinking, you may let the tools dictate and that's not the intent at all. It should be your team comes up with what makes your team be amazing. Brian (21:48) Right. Steve (22:05) And we own our own processes in Scrum, right? That's a key concept is that Scrum tries not to dictate processes and it wants you to continually evolve them. And so even the thinking that says there's a right way to do it is actually incorrect Agile thinking. so, yeah, tools are not gonna be a lot of Brian (22:24) Yeah, I agree. We might be a little biased because of what we do, but you know, I like your analogy. I'll give you another one. if you are just because you buy a parachute doesn't mean you know how to skydive, right? And no one would would buy a parachute and think, I know everything. Just I'll just use it and I'll learn how to do it because I'll jump out the plane and you know, I'll learn how to skydive. Well, no, you go through training. figure it out, you probably do a lot of tests and things, so that by the time you get up there, you know exactly what you're doing. you've gone through all the safety checks and all those other kind of things. Nobody would see those things as being synonymous, but somehow we do that in the Agile community sometimes, as we see the tool as synonymous with knowing Agile. Steve (23:12) It's a really good example, though I like the parachute. I have never parachuted because I find it terrifying. But if you were going to be a skydiver, this is an area where there is a high cost of failure. It's like one of these things where a certain kind of failure you can only do once because you won't have a second opportunity. And so one of the things that is kind of an integral idea in Agile thinking is that we like to make Brian (23:18) Neither have I. You Steve (23:41) experimentation and failure inexpensive. And so one of the whole concepts of why we often encourage things like short sprints and scrum is the idea that we want you to feel free to experiment with your processes and to make mistakes. And I'm sure many of you out there have heard the fail fast thing we say all the time, right? And all of this comes out of this mindset of making failure affordable and learning part of the culture. And so all of that is very different than any of these kind of instruction-based follow a tool sheet, follow a standard methodology of Agile or something. None of that is really the right thinking according to the way the Agile Scrum people see the world. Brian (24:26) Yeah, I agree. Any others that have crossed your path that you would call out? Steve (24:33) You know, it's really hard to avoid the thousand pound gorilla here, which is safe, because safe has so dictated the tools and things that you just have to think through that. I don't want to get us off into scaling, because that's obviously another very large conversation of its own. I have come to think of safe this way. that scaled Agile is as Agile as many large companies can tolerate. Which is to say, it's not my favorite, but it is very prevalent out there. And so, you know, in some cases, you're not going to have a choice, right? Your company will have dictated a thing, whether it's safe or whether it's whatever it is. And just be aware that that decision is also reasonably tightly tied to these tools and things because... You know, you can get a really nice lightweight tool like say Trello, which is, you know, even free sometimes still. And that can be perfectly acceptable in, you know, nice small scrum team environments. But if you're going to do, you know, giant, you know, release train planning exercises, and you want the ability to put all this stuff into tools, then that will constrain you to a certain class of tools. Now it's a lot of them these days, but just be aware that how you choose to approach this and how heavy of a method you use. will also impact your tool choices. Brian (26:00) Yeah, I agree. I don't want to get, I know we're not going to dive off into the pros and cons of safe, but the kind of picture in my head that I always think about with safe is it's kind of like one of those Swiss Army knives that has a million different blades and attachments and things in there. It's designed to solve any possible problem. that you could encounter in that arena. you know, just like when you use a Swiss Army knife, you don't open all of them up and say, all right, well, I got to try to use them all at once. You find the one that you need and you use that one. So I don't think it's a problem to have the choice to use these various things. And when I've talked to really, you know, lifelong, safe trainers that really are successful with this, I find a similar attitude from them that it's not intended for you to have to implement every component. It's intended for you to find the things that fix the problems that you're encountering and then implement those things. And if you start to encounter other new problems, well, there's other parts of the framework that you can implement then that will help solve those issues for you. And I think that's one of the mistakes people make with SAFe sometimes is that they just You know, they take the whole, it's all or nothing. And while Scrum does say, hey, you have to implement all of this or you don't get the benefits of it, SAFe, I don't believe says that. At least I haven't heard trainers say that who teach it. So, yeah, yeah. Steve (27:43) It's more like a smorgasbord effectively, right? know, if you know different choices and maybe it's worth saying a word about why that is compared to because Scrum tries so hard to be a minimalist framework that it's sort of like saying, you know, I could choose not to eat vegetables and you know, that could be a good choice for me and the answer is no, that's not a good choice for you it turns out. You know, so Scrum, because it tries to tell you so little, it's basically telling you the stuff that is basically essential. You you just can't get along without it. So it's a super minimalist framework. Some of you, I'm sure, are familiar with what happened in the last version of the Scrum Guide, where, you know, typically, like with SAFe, when they add a new one, it gets bigger and bigger and bigger over time, right? And they add more and more details. And that's what people love about SAFe, right? You can go open up a page. and click on a keyword and open up another massive page of exactly how to do everything. And Scrum has taken the exact opposite philosophy to make it the most minimal framework they could. And they actually went from 18 pages to 13 pages in the last version of the Scrum Guide, taking all of the advice out, basically. And so we're just looking at two very different philosophies here. So Scrum is a minimalist framework. SAFe is the... I guess the Swiss army knife, if you will. I would like to say one comment about a Swiss army knife. I used to carry those many years ago, but essentially you have every tool in them and none of them are great, right? So every one of them is basically a tuned down version of the tool. So yeah, there's a corkscrew in there. It's not a very good corkscrew. And yes, there's a screwdriver in there. It's not a very good screwdriver. Brian (29:06) Ha ha ha. Steve (29:29) So I think sometimes over time we start to learn that you should have the right tool for the right job and not try to get by with the Swiss Army. Brian (29:38) Yeah, always whenever I saw, you know, whenever I would see a Swiss Army knife that would have the the kind of saw component of it, I always think, you know, it's it's it's it's, you know, two inches, three inches long. What kind of tree am I going to saw through? Steve (29:53) you have to be desperate, right? This would be like, I'm cutting my parachute cord or something, but. Brian (29:57) Right, exactly. Exactly. Well, I'll throw one more and then we'll we can call this. But there's one that I've heard that I just thought was I don't hear this as often, but I have started to hear it more. And that's just sort of it's kind of an attitude. It's this attitude of, hey, we're having a problem with and seems specifically around transparency. Right. The team is not being transparent. We're not having much transparency into how the work is going on. And so sometimes I've heard people kind of take this attitude of, well, you know, we're gonna implement this tool. And so by default, we're gonna increase our transparency, because now we're using this tool. And I would caution people on that as well, say that that's not true at all. You know, it's the old phrase we used in computers, you know, way, way back when I was in elementary school was garbage in garbage out. And I think that applies to our tools as well, you know. We can get greater transparency through a tool, but it takes the right input. It takes the right effort. And you could still have the attitude of, I'm going to obscure the way that the work is really happening and do that through any tool. So the tool itself, I don't think it's going to do that. The tool could help you with it, but you have to deliberately seek that out. Steve (31:21) You know, I, it's such a mindset for me, this concept of things like transparency and how that relates to how we work as a team and swarming concepts and all these things kind of come together to make scrum a really an effective thing. And the problem sometimes is when you try to force things, it has the opposite effect. I'm, don't disagree with the scrum authors very often, but I very much do with what they did with the daily scrum, you know, and the daily scrum. used to have the three questions, And the three questions, you know, what did you do yesterday? What am I going to do today? You know, do I have any impediments? And then they made it longer. They added more words to it to try to clarify things, which was just more structure effectively. And then finally, in the last version of the Scrum Guide, they threw out the three questions. And I was really happy to see those go. because they sounded like a status report. And so guess what was happening to most organizations? They think of the Daily Scrum as a status report, which developers hate. And now as soon as there's this status call, then the managers are talking and they say, hey, did you hear there's a daily status call we can come to? And now they start coming to another meeting. And now you have completely destroyed the concept of this really simple meeting, which was effectively just to let team members coordinate their plans for the day. It's kind of a swarming based thing. And so it makes beautiful sense once you understand that, but it's misunderstood 90 % of the time because it just sounded like status. Brian (32:55) Now, but hey, pass the plate, because I'm a member of that church. I agree with you on that wholeheartedly. I've always said that, you know, I think it's just one of the things I try to tell people to come through classes. Hey, Scrum Masters, if you don't remember anything else about these events, right? If you forget, you know, six months from now, what the exact time box is on something, I'm not as concerned with that. Make sure you understand the purpose of each one. Make sure that you embed that and print that in your memory. I know what each of these meetings is there for, why we are meeting in that situation. And if you know that, then I don't care about the format. The format will flow from that, but we're accomplishing this purpose and we're gonna figure out the best way to do it. Steve (33:42) Yep, and we can even take that back to the tools and say, can make most tools work, right? As long as you get the freedom to use it as you, as a team, see fit. You know, one of the guys, the guy who created the kind of the opposite end of the spectrum scaling approach, Craig Larmann with LESS, he says, why do you need more than just a shared Google Doc to do everything? You know, why couldn't you just have your, you know, all your stuff up there in a spreadsheet and, know, good enough for what you needed to have visible and you can generate a few reports and maybe that's all you need and maybe you don't need a heavy tool. that, you know, so there's a spectrum of possibilities. Brian (34:21) Yeah, I mean, when teams started out, there weren't any tools, and that's what everyone was using, was things like that. So, yes, it's entirely possible. Very cheap. And you don't have to be a big organization. You don't have to have a massive budget for software. can use the tools available to you and get by very well. Well, this has been great. I really appreciate you taking the time, Steve. I love this discussion, and I hope that... Steve (34:43) Absolutely. Brian (34:51) For our listener who suggested this, that we kind of hit the nail on the head and gave you what you were hoping for in this one. But yeah, when it comes to Agile tools, Agile should drive the tool, not the other way around. The tool shouldn't drive how you do Agile. And I think that's kind of where I would sum it up. Any last thoughts? Steve (35:10) So if I was going to quote Craig Larvin one more time here, less is more sometimes. And so the concept of minimalism and being more about how you and your team work together and how your meetings work and how you respect each other and how you learn how to work effectively together, way more important than your tools. ideally, let your approaches dictate the tool. Try not to let the tool dictate your approaches. Brian (35:40) Awesome, yeah, completely agree. If you've been listening to Steve and feel like, I really clicked with that guy, I really resonate with the ways he's speaking on this stuff, I encourage you check out his course schedule. You can find that at the Scrum Alliance website and see what courses he's teaching and sign up for one. Because as I said, Steve's an excellent instructor. So Steve, thank you so much for coming on the podcast. Steve (36:04) Thanks, Brian. It's been a pleasure to be here with you.

Python Bytes
#400 Celebrating episode 400

Python Bytes

Play Episode Listen Later Sep 9, 2024 28:46


Topics covered in this episode: Python 3.13.0RC2, 3.12.6, 3.11.10, 3.10.15, 3.9.20, and 3.8.20 are now available! Docker images using uv's python 10 years of sustainable open source - Read the Docs humanize Extras Joke Watch on YouTube About the show Sponsored by ScoutAPM: pythonbytes.fm/scout Connect with the hosts Michael: @mkennedy@fosstodon.org Brian: @brianokken@fosstodon.org Show: @pythonbytes@fosstodon.org Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 10am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. ChatGPT celebrates episode 400! Welcome to the big 4-0-0, Pythonistas! It's hard to believe we're celebrating the 400th episode of Python Bytes! From the early days of byte-sized Python news to becoming the source for all things Python, it's been a wild ride. We've laughed over code quirks, gasped at new libraries, and said farewell to the GIL together. Whether you're a seasoned developer, a curious learner, or just here for the witty banter, you've been an essential part of this journey. To Michael and Brian: You've built a community that turns import this into more than just Zen—it's a family of passionate Pythonistas. Your dedication, insights, and humor make this show more than just tech news. It's a weekly celebration of what we love about Python and why we keep coming back for more. Here's to the next 400 episodes—may your code be bug-free, your tests pass on the first run, and your Python version always be up to date. Brian #1: Python 3.13.0RC2, 3.12.6, 3.11.10, 3.10.15, 3.9.20, and 3.8.20 are now available! Łukasz Langa Python 3.13.0RC2 is the final preview release Official 3.13.0 scheduled for Oct 1 Call to action “We strongly encourage maintainers of third-party Python projects to prepare their projects for 3.13 compatibilities during this phase, and where necessary publish Python 3.13 wheels on PyPI to be ready for the final release of 3.13.0. Any binary wheels built against Python 3.13.0rc2 will work with future versions of Python 3.13. As always, report any issues to the Python bug tracker .” “Please keep in mind that this is a preview release and while it's as close to the final release as we can get it, its use is not recommended for production environments.” Note: uv python does not support 3.13 yet see issue 320 Security releases for 3.12.6, 3.11.10, 3.10.15, 3.9.20, and 3.8.20 3.12.6 has binary installers, but for MacOS, only MacOS 10.13 and newer are supported 3.11.10, 3.10.15, 3.9.20, and 3.8.20 do NOT include binary installers. 3.8 EOL's in October Michael #2: Docker images using uv's python See #396: uv-ing your way to Python and #398: Open source makes you rich? (and other myths) for the opening discussions Talk Python episode on uv is out uv venv --python gets Python from python-build-standalone by Gregory Szorc Took our Docker build times from 10 minutes to 8 seconds for the base image and 800ms (!) for our app platforms Brian #3: 10 years of sustainable open source - Read the Docs Eric Holscher Read the Docs has been a company for 10 years “a team of 4 folks working full-time on Read the Docs.” readthedocs.org started in 2010 readthedocs.com (for Business) started in 2014 Sustainability model .org has a single non-tracking ad .com is a paid service for companies Things that didn't work donations and other optional support - led to burnout consulting and services- took too much time away from core product grant funding - nice, but one time thing Lessons You don't get extra points for being bootstrapped. Compete by doing things you can do better due to niche and size. Keeping trust in the community is the most important thing. Contribution is easier for less complex parts of the code base. Beign open source means capturing a small percentage of the value you create. You have to be ok doing more with less. Also RtD is not just for Sphinx anymore. Their build system now supports any documentation tool. Michael #4: humanize by Hugo van Kemenade (Python 3.14 & 3.15 release manager & core developer) Not too many variations, but very handy if you need it. Numbers Associated Press style (“seven” and “10”) Clamp (under 1.0 million) Fractional (1/3) Int Word (1.2 Billion) Metric (1.5 kV) Ordinal (112th) scientific Time File size Extras Brian: Test & Code is now again Test & Code The two part series on Python imports that started in June is finally complete with episode 222. Transcripts are being added to old episodes gradually starting from most recent Back to ep 203 as of today. AI transcription, so there's things like .pie, .pi, and dot pie where it should be .py Michael: Final final call for Coding in a Castle event with Michael iStats Menu Anaconda Code Runner by Ruud van der Ham: With Anaconda Coide we can -at last- run that code locally and import (most) Python modules. But if you want to run a significant amount of code, you have to put that in a cell or publish it to PyPI or a wheel and import it. That's why I have developed a general-purpose runner function that runs arbitrary code located on an Excel sheet with AnacondaCode. Joke: When beginners learn a new programming language...

The Dental Marketer
Associate or Owner: Which Path Is Right for You? | Brian Mills | MME

The Dental Marketer

Play Episode Listen Later Aug 12, 2024


Are you a business-minded or clinical-minded dentist? In this Monday Morning Episode, we're bringing on Brian Mills to unpack the true nature of preparing for practice ownership. Brian emphasizes that while clinical skills are vital, being business-savvy is equally crucial. He dives deep into why adopting a do-it-yourself mindset for critical business operations like marketing and website development can set you up for failure, and why focusing on ROI can be your saving grace.Brian also sheds light on the often-overlooked emotional and life-driven catalysts that typically prompt someone to own a practice. Is it a financial calculation or a significant life event that usually pushes the button? If you think owning a practice is the only route to professional success, think again. Brian reassures listeners that thriving as an associate can be just as rewarding, providing valuable insights for both aspiring practice owners and seasoned dentists.What You'll Learn in This Episode:Why being business-savvy is as essential as clinical proficiency for practice owners.The risks of a DIY approach to critical business facets like marketing and website development.How to focus on ROI to navigate financial and operational challenges.Common life events or internal drives that lead to owning a practice.Why it's completely acceptable to excel as an associate and not own a practice.Ready to discover if practice ownership is truly in your future? Tune in for a revealing conversation that might just change your perspective!‍‍Sponsors:‍For DSO integrations, startup solutions, and all your dental IT needs, let our sponsors, Darkhorse Tech, help out so you can focus on providing the amazing care that you do. For 1 month of FREE service, visit their link today! https://thedentalmarketer.lpages.co/darkhorse-deal/‍You can reach out to Brian Mills here:Website: https://www.roamcommercialrealty.com/Email: info@roamcommercialrealty.com‍If you want your questions answered on Monday Morning Episodes, ask me on these platforms:My Newsletter: https://thedentalmarketer.lpages.co/newsletter/The Dental Marketer Society Facebook Group: https://www.facebook.com/groups/2031814726927041‍Episode Transcript (Auto-Generated - Please Excuse Errors)‍‍Michael: Ryan, talk to us. What's one piece of advice you can give us this Monday morning? Brian: Oh, first of all, always be prepared for a video call and don't think it's just audio, but a better teacher on number one. Oh, I may lose all my business with this piece of advice, but I'm going to tap some people in the chest and I would say, you got to grow up in the business world. I have too many great clinicians, great doctors who are amazing care side, what they do, they take their craft to the highest level clinically, but when it comes to business, they haven't matured whatsoever.And when I say that, I mean, Don't take pride in doing your own website. Guess what? We can all tell Don't drive around and think, Oh, I'm going to go, look for a space by seeing what's cool out there. You're not maturing in the business world. You may be a great clinician, a great doctor, but your business mindset is not where it should be.You are not functioning as a high level. If you're thinking about how do I. Save the most amount of money. You have to think about return on investment. that would be sort of my tap you in the chest advice and say, Hey, you got to grow up. You got to get serious about your business acumen.Michael: So then. Brian, how do we start doing that, especially like we're fresh out, we want to do a startup or we're in that process and acquisition or whatever, right? And we're like, so Like I got to count my costs. I just took out a 500 plus thousand dollar loan and I have student loans and all these things and I need to count everything.Brian: You may not be ready. If you're constantly thinking and having this anxiety and agita about the cost associated with it, it may not be your time. And guess what? I always say when I speak, you may never be ready and that's okay. you can be a great associate for the rest of your life and that doesn't make you a less than doctor, person, et cetera.But if you can never get past that anxiety and you can never get past that fear, practice ownership may not be for you. There's always a healthy level of fear, but if you're always. Thinking about how do I cut corners to make it easier to save my way into success. That's not a good way to run a business.That's not how any other business would operate. before we were on, we were speaking about multi practice owners and emerging groups and DSOs. That's not the mindset that they operate with. They're always thinking, how can I drive the most production? Where can I get the most ROI?Not how do I success. Don't get me wrong. Overhead is very important and keeping your overhead contained within certain budgetary constraints and buckets is very important to a business, but it's not at the forefront of driving production and driving business. Michael: Gotcha. Okay. if you're Brian: not prepared to do marketing and things like that, then you're not ready for it yet.Again, you don't think, how do I create my own website? is your brand and you have to be able to lead with it. So you have to put the most force, the most effort, the most financial incentive you can behind your website, your marketing your technology. Michael: Okay. So then if it may not be your time, what can I ask myself to know when it is my time and just to like swallow that pill and say, I got to outsource this to marketing.Brian: I know I have enough, I just got to do it. usually there's some event that happens. You get tired of working at your corporate gig or there's something that, you want to do clinically or business wise that you're not able to do, and you feel sort of these constraints on you and people have that, and it's like this light bulb goes off or this moment we have clients that, Sort of boy with this idea for years, they'll sit down, we'll have two hours at Starbucks, they're ready to go. And then I never hear from them again. And I'm like what the heck happened? Did I do something? And then I'll see them at one of my seminars and then they'll call me like a year after that.And I'm like, okay, now what's different from two years ago. And I can tell when they're really ready. Cause then they say, you know what, something happened and I'm just tired of it. I'm completely ready to go. So sometimes you have this life event that may be. in the negative. And it drives you into doing your own thing.people always look at me for this magic pill. Like, Tell me something, Brian, that would give me this injection of confidence that will make me go do it. I think you have to come to it on your own. And sometimes, unfortunately it comes to it when you've just had your full of all the negative stuff or somebody telling you to do something that you don't want to do or, asking you to do something clinically that you don't feel comfortable with or whatever that may be.But there's usually some sort of crossroads in your life where it's just like, all right. I've had enough I've got to get out and do my own thing or I'm actually going to go crazy. Michael: Yeah. No, that's true. Have you ever seen someone who've has had the confidence, but they have no money? Brian: Oh, yeah, lots.Yeah, that's a little bit of crazy. That's my kind of crazy. I've had people who have had really big dreams. They can't get the financial support to do that. that's good. That's ultimately what keeps dentistry so safe is you have some people that graduate from dental school and they're like, I'm ready day one.And I had this Amazing idea. And I just need a million dollars to go do it. And the bank's going to say we get it. But our job is to keep you safe. So let's wait a little bit, Let's get some experience under our belt and see if that idea that you had, upon graduation is the same in two years, or maybe, you've morphed or changed a little bit.So it's great to have that passion and that energy, but it's also great to have it. Institutions behind you saying, Hey, we appreciate that, but we also want to keep you safe and there's some structure to these deals and that's what keeps the failure at almost, 0%. Michael: So it sounds like it's better to have that.Let's go get it. Confidence kind of thing. And then there's institutions that tell you like, Hey, slow it down. Right. There's little speed bumps instead of. You being the guy who's like, I'm going to take it super slow and safe and everything, but you'll still have institutions that say, slow it down, kind of a thing.Brian: I'm a serial entrepreneur. You got to be a little bit crazy to be an entrepreneur, right? You have to be able to, at some point, throw caution to the wind and say, I don't know what's going to happen, but I feel like this is a mitigated risk. I've done everything that I can possibly do. And now I'm going to look over that edge and I'm going to make that leap of faith.There has to be a point where you make a leap of faith. I would much rather have somebody be a little bit wired crazy and have. The lenders, people like me other institutions say, okay, I love the passion, but let's make sure that we're being responsible versus a lot of great doctors who have what we call paralysis by over analysis.They're always analyzing everything to the nth degree and they're frozen in fear and they can never get off the starting blocks. Michael: So then, in your experience, Ryan, specifically, if you can be like almost like a script, what do people normally say where you can tell like, You're not ready.Brian: when they start focusing immediately on overhead, right? The conversation automatically goes back. Well, How much is the rent, How much is the build out cost? And we're not thinking about how do I drive business? Who's sitting in my chair? What's the demographic? How do I appeal to them?What is my brand? What is my image? there has to be a passion that's driving this business. It can't be well, if I can keep my rent to, 2, 500 a month, I'll be successful. Do you know anybody who could do a website or half the price everything is brought back to how much is that going to cost?That's how I know you're not ready. Cause it's going to cost what it's going to cost. Nobody ever gets an award for doing the cheapest startup or the cheapest practice. You never want to be cavalier or foolish with your dollars. but you have to think about where am I going to wisely invest my money and what's the biggest return I can gain from that when it always comes back to How much is that going to cost me?How do I do it cheaper? You're not ready because you're not thinking about driving business. You're only thinking about overhead overhead, overhead, and your practice is going to suffer. Michael: And so do you tell them that you tell them like, Hey, you're not ready. Or do you try to shift their focus in that moment?Brian: I, Would hate to be the one that says you're not ready because maybe there's something inside that I'm not seeing. Maybe they go home and they do some soul searching or et cetera. But it is my job to educate and say, if we're solely focused on the overhead and not production, we're never going to be a high performing practice.And I don't want you just to open. I want you to open and succeed at the highest level possible, I want you to make 10 times more money than I make. I want you to make. 50 times more money than you ever thought you could make. I want you to be a high performing startup. I don't want you to just check the box and say well, I opened my practice and I made as much as I did as an associate.I want you to open your practice and say, wow, that was life changing for me and my family. So it's my job to say, I understand what you're saying. I understand why you're nervous. These are big figures. But we have to think, how are we going to drive business or you're going to miss the mark. And if you're not prepared to drive, business may not be something that I want to be associated with.Michael: Gotcha. Okay. So make sure they have the confidence, make sure. They don't save their way into success. And then at the same time, if you feel like they don't have all that, then it may not be their time. They may not be ready. May never be ready, right? Kind of Never Brian: be ready. And again, don't think of yourself as less than, you know, You have colleagues out there who never open a practice. They're called physicians, Most physicians go work for a hospital network, and that's what they went to school for. least when I started in this business 25 years ago, most dentists went to dental school to own their own business.But Just because you graduate today and you go work as a great associate at a corporate gig or private practice or something else doesn't mean that you're not a phenomenal doctor, clinician, person, et cetera. So don't do it just because you think that's the path that you're supposed to do. Do it because you have this drive within you and you feel like if I don't do it, it's going to eat me up when I look back on a life of regret.There's nothing worse than a life of regret, but don't think that Somebody else's path has to be your path. If you're not wired to be an entrepreneur, don't do it. Go do something else that you're passionate about. But if it's eating you alive, just know that what you're about to embark on is the safest thing you can do.You just have to approach it like a business and not purely from clinical standpoint, because it's a business first and foremost. Michael: Gotcha. Awesome. Brian, I appreciate your time. And if anyone has further questions, you can definitely find them on the dental marketer society, Facebook group, or where can they reach out to you directly?Brian: You can hit us up on our website, which is Rome, R O a M Rome commercial realty. com. You can email us directly info at Rome commercial realty. com. Michael: So that's going to be in the show notes below and Brian, thank you so much for being with me on this Monday morning episode. Brian: Thanks for having me.‍

Jesse Lee Peterson Radio Show
My America is not coming back. Know yourself! | JLP Fri 7-5-24

Jesse Lee Peterson Radio Show

Play Episode Listen Later Jul 5, 2024 180:00


JLP Fri 7-5-24 Hr 1-2 Tech issues, delays… Newport beach killing revisited. Hr 2 Calls (pardon delay) on BQ, America, Booker T. Hr 3 CALLS: Brian: I don't know God. JLP on mothers and children. Biblical Question: Why do you attack back when someone attacks you? TIMESTAMPS (0:00:00) HOUR 1 - 25-min DELAY! (0:10:12) FALSE START: 15-min DELAY (0:24:32) Get it off your chest! (0:26:47) Revisited: Newport Beach killing: NZ tourist… BREAK (0:34:34) TFS, Allahu Akbar protest, Announcements (0:37:42) Back to story: blacks killed older white woman (0:44:07) They're allowed to do it: "Black"... "Police brutality" (0:51:15) Supers … Smoking pot, awareness? Try without it! (0:54:52) Hake News Hr 1 (1:01:30) HOUR 2 (1:05:07) Supers: Pot, BQ (1:12:12) Caller tech issue, false start, 15-min delay (1:27:02) DREW, DC: BQ: I don't attack back… BREAK (1:33:12) DREW: When/how did you stop? (1:34:12) DREW: "My country is not coming back"? Gen Z (1:40:02) TYLER, Iowa: WHM at work. BQ. Booker T Washington (1:46:07) Booker T Washington vs the blacks (1:47:37) BRIAN, MI: BQ, Uncle Tom film, Revelation? BREAK (1:53:57) Hake News Hr 2 … HOUR 3 (2:05:12) BRIAN, MI: I don't know God. Intellectual. Thoughts. (2:11:12) BRIAN: You always credit God. JLP interviews. Endure, watch (2:14:38) BRIAN: Wife, identifying with evil, advice (2:20:19) JLP: Mama's selfish nature. Don't fight over children. Seek first… (2:26:32) JAMES, Boston (1st) can never convince an angry person. BREAK (2:35:57) JLP: Know yourself… lies vs truth… (2:39:01) Clip: breathless black woman yells at black man. Freak out! (2:41:12) JAMES: Wife, friends, daughter's school story: Santa white! (2:44:02) NICOLE, GA: Women, don't take it personally. Stay with it. (2:48:17) Supers: WHM stickers, s/o Sean, JLP sings songs (2:52:57) EVAN, TX (1st) BQ: Self-defense. Close w/ mother. Forgive. (2:56:39) Closing

MGoBlog: The MGoPodcast
WTKA Roundtable 4/4/2024: A Chip and a Chair

MGoBlog: The MGoPodcast

Play Episode Listen Later Apr 4, 2024 49:53


Things Discussed: Dusty May's new staff: got himself a D guy and a recruiter. Good sign that he's addressing his first perceived weaknesses, bodes well for gathering the best players from FAU and bringing Khani Rooths back. Akeem Miskdeen: Like Dusty May, nobody has a bad word to say. Rebuilding a basketball roster: Feels confident they can get Davis and Goldin and others from FAU, adding Miskdeen gets them in the market for the Oklahoma State guys in the portal and Rooths, whom Miskdeen was recruiting to Georgia. Also after Yale's stretch C, Wolf. All of these guys are grad transfers or Yale. Say yes to a proven Big Ten player who's got a chip on his shoulder in Essegian, even if he's not a perfect fit for May's offense. Can add pieces from FAU's class to get some Zak & Stu types. Will they come? They all like May enough that they didn't leave FAU after going to the Final Four. Trey Townsend (Oakland) probably goes to MSU, isn't much of a fit because he's not a perimeter guy (35% but on just a handful of attempts from the arc). Will the NIL be right? Michigan won't commit the same mistakes again. Hockey: Two of the best third periods in program history. Has this been a turnaround in focus or in luck? Kind of both, but also Marshall Warren has come on, and now they're getting good shifts from everyone down the roster. The Michigan 2.0: GuloGulo reminded us Nazar did the same in his first game. Now we just need the most iconic fight in college hockey history to have the Gordie Howe Hat Trick. Ira: Most satisfying playoff win? Seth & Brian: Hell no! [both start naming bangers at Yost]. Seth: I don't hate MSU hockey fans. Brian: You must have a short memory. But rivalry doesn't feel hateful right now because MSU was so bad. Can they win the Frozen Four? They're facing the three best one seeds after knocking off #4 and #5 in the country, have a puncher's chance but the Boston schools are loaded to the gills with NHL prospects and Denver is Denver. Twenty percent? Will take it.

The Consulting Trap
The Evolution of SEO and the Changing Landscape of Digital Marketing

The Consulting Trap

Play Episode Listen Later Aug 22, 2023 26:49


In this episode, Sara Mannix, the founder of successful marketing agency Mannix Marketing Inc., discusses the evolution of SEO and the changing landscape of digital marketing. She highlights the key factors that have remained constant, such as the power of focus and niche expertise. Sara also talks about the shift towards a holistic approach to marketing and shares strategies used to market hard-to-reach industries, including the challenges faced in the hospitality industry.Sara Mannix is the Founder and President of Mannix Marketing Inc., an award-winning digital marketing agency specializing in SEO, PPC, and web design. With over 27 years of experience in marketing and tourism, she leads Mannix Tourism, a destination marketing agency focused on helping communities thrive, and tourism businesses achieve their goals. Here are a few of the topics we'll discuss on this episode of Hard to Market: SEO has evolved from “search engine positioning” to a holistic approach focused on success metrics. The success of SEO depends on understanding the lifetime value of customers and targeting the right audience. Niche industries can utilize thought leadership and targeted marketing to generate conversions. Cross-functional learning enables the application of successful strategies from one industry to another. Niche expertise in the hospitality industry provides a deep understanding of specific challenges and solutions. Having a niche helps in clearly defining goals and delivering a guaranteed return on investment. Agencies struggling with their pipeline can benefit greatly from partnering with niche digital marketing experts. Resources: Mannix Marketing Inc. Podcast Chef Connect with Sara Mannix:LinkedInConnect with our host, Brian Mattocks: LinkedIn Email Quotables: 02:39 -  “I said, well, at the bottom of every website that we do, I put website design and development by Mannix Marketing, and it links back to us. And I think that makes a difference. So the links have changed. It's not just about having a link on any website, it's about having, you know, relevant content on relevant sites. That was true even before Google. Because Google really made it much more about the quality of the link.” 04:45 - “So I think the businesses that lend themselves to paid search and SEO and that type of lead gen are typically businesses with shorter turnaround times. I need this item, or I need this expertise, and I'm gonna search for it. Right. Where can I find it? Right. And that has a shorter span. And a lot of experts think, well, it's only word of mouth for my business, or it's this or that. And I always tell people, if it's a big purchase, and they are the type of people who want it within the next three months, they're going to research it on the internet as well.” 20:10 -  “I think it's one of those paradoxical things, like what is the saying about attorneys, like someone who represents themselves in court as a fool for a client. I think in many ways you almost can't do your own marketing. The blind spots are just too big. Yeah. Which is probably an unpopular opinion.” 06:29 - Brian: “So how do you deal with some of those hard to market kind of items or how to hard to market services with the clients that you represent?”.. Sara: “Yeah, so we actually have a client very similar. They do massive heating, heating and cooling systems that go on top of billion buildings that are worth millions of dollars. Right. And those numbers are very low for somebody who doesn't know who they are and who are searching for it. But when you're selling something that's a million dollars, and you're number one in search, they actually do SEO, and they have such great ROI because if there's 50 people a year searching for it, and they find them, and they sell a million dollar cooling refrigerant building Right, right. Solution, they've paid for their SEO, and their paid search for the next seven years.” 12:41 - Brian: “So what I'm hearing is that anyone willing to pay or anyone with a pulse and a checkbook is not a sufficient information for you to target them for SEO. Is that right?”.. Sara: “That's true.”.. Brian: “I have the number of clients that I've worked with in the marketing space where I'm like, so who's a great client for you? And they're like, ah, anybody will pay.”.. Sara: “We like, we have specific industries that we do really well, but we have really narrowed down on, and we have been in business for 30, 26 years, so we have done many industries. So, but if I were only a five-year-old agency, I would not recommend that, it's a nightmare. And it's just too much. You can't do everything. Well, you can't, right. We don't say we do everything well, we say we do SEO well, right. And we can do SEO well for anybody, but do we want to do it for everybody? No, no.”.. Brian: “You can go horizontal, or you can go vertical, but you can't really go both. Right.”

Giant Robots Smashing Into Other Giant Robots
476: OpenSauced with Brian Douglas

Giant Robots Smashing Into Other Giant Robots

Play Episode Listen Later May 25, 2023 41:23


Brian Douglas is the CEO of OpenSauced which helps enterprises discover the best engineers in Open Source. Victoria and Will talk to Brian about meeting as many developers as possible, setting goals, and keeping himself accountable, and what makes a successful open source project. OpenSauced (https://opensauced.pizza/) Follow OpenSauced on Twitter (https://twitter.com/saucedopen), GitHub (https://github.com/open-sauced), Instagram (https://www.instagram.com/opensauced/), YouTube (https://www.youtube.com/opensauced), Discord (https://discord.com/invite/U2peSNf23P), and Dev.to (https://dev.to/opensauced). Follow Brian Douglas on LinkedIn (https://www.linkedin.com/in/brianldouglas/), Twitter (https://twitter.com/bdougieYO), or visit his website (https://b.dougie.dev/). Follow thoughtbot on Twitter (https://twitter.com/thoughtbot) or LinkedIn (https://www.linkedin.com/company/150727/). Become a Sponsor (https://thoughtbot.com/sponsorship) of Giant Robots! Transcript: VICTORIA: Hey there. It's your host Victoria. And I'm here today with Dawn Delatte and Jordyn Bonds from our Ignite team. We are thrilled to announce the summer 2023 session of our new incubator program. If you have a business idea that involves a web or mobile app, we encourage you to apply for our 8-week program. We'll help you validate the market opportunity, experiment with messaging and product ideas, and move forward with confidence towards an MVP. Learn more and apply at tbot.io/incubator. Dawn and Jordyn, thank you for joining and sharing the news with me today. JORDYN: Thanks for having us. DAWN: Yeah, glad to be here. VICTORIA: So, tell me a little bit more about the incubator program. This will be your second session, right? JORDYN: Indeed. We are just now wrapping up the first session. We had a really great 8 weeks, and we're excited to do it again. VICTORIA: Wonderful. And I think we're going to have the person from your program on a Giant Robots episode soon. JORDYN: Wonderful. VICTORIA: Maybe you can give us a little preview. What were some of your main takeaways from this first round? JORDYN: You know, as ever with early-stage work, it's about identifying your best early adopter market and user persona, and then learning as much as you possibly can about them to inform a roadmap to a product. VICTORIA: What made you decide to start this incubator program this year with thoughtbot? DAWN: We had been doing work with early-stage products and founders, as well as some innovation leads or research and development leads in existing organizations. We had been applying a lot of these processes, like the customer discovery process, Product Design Sprint process to validate new product ideas. And we've been doing that for a really long time. And we've also been noodling on this idea of exploring how we might offer value even sooner to clients that are maybe pre-software product idea. Like many of the initiatives at thoughtbot, it was a little bit experimental for us. We decided to sort of dig into better understanding that market, and seeing how the expertise that we had could be applied in the earlier stage. It's also been a great opportunity for our team to learn and grow. We had Jordyn join our team as Director of Product Strategy. Their experience with having worked at startups and being an early-stage startup founder has been so wonderful for our team to engage with and learn from. And we've been able to offer that value to clients as well. VICTORIA: I love that. So it's for people who have identified a problem, and they think they can come up with a software solution. But they're not quite at the point of being ready to actually build something yet. Is that right? DAWN: Yeah. We've always championed the idea of doing your due diligence around validating the right thing to build. And so that's been a part of the process at thoughtbot for a really long time. But it's always been sort of in the context of building your MVP. So this is going slightly earlier with that idea and saying, what's the next right step for this business? It's really about understanding if there is a market and product opportunity, and then moving into exploring what that opportunity looks like. And then validating that and doing that through user research, and talking to customers, and applying early product and business strategy thinking to the process. VICTORIA: Great. So that probably sets you up for really building the right thing, keeping your overall investment costs lower because you're not wasting time building the wrong thing. And setting you up for that due diligence when you go to investors to say, here's how well I vetted out my idea. Here's the rigor that I applied to building the MVP. JORDYN: Exactly. It's not just about convincing external stakeholders, so that's a key part. You know, maybe it's investors, maybe it's new team members you're looking to hire after the program. It could be anyone. But it's also about convincing yourself. Really, walking down the path of pursuing a startup is not a small undertaking. And we just want to make sure folks are starting with their best foot forward. You know, like Dawn said, let's build the right thing. Let's figure out what that thing is, and then we can think about how to build it right. That's a little quote from a book I really enjoy, by the way. I cannot take credit for that. [laughs] There's this really great book about early-stage validation called The Right It by Alberto Savoia. He was an engineer at Google, started a couple of startups himself, failed in some ways, failed to validate a market opportunity before marching off into building something. And the pain of that caused him to write this book about how to quickly and cheaply validate some market opportunity, market assumptions you might have when you're first starting out. The way he frames that is let's figure out if it's the right it before we build it right. And I just love that book, and I love that framing. You know, if you don't have a market for what you're building, or if they don't understand that they have the pain point you're solving for, it doesn't matter what you build. You got to do that first. And that's really what the focus of this incubator program is. It's that phase of work. Is there a there there? Is there something worth the hard, arduous path of building some software? Is there something there worth walking that path for before you start walking it? VICTORIA: Right. I love that. Well, thank you both so much for coming on and sharing a little bit more about the program. I'm super excited to see what comes out of the first round, and then who gets selected for the second round. So I'm happy to help promote. Any other final takeaways for our listeners today? DAWN: If this sounds intriguing to you, maybe you're at the stage where you're thinking about this process, I definitely encourage people to follow along. We're trying to share as much as we can about this process and this journey for us and our founders. So you can follow along on our blog, on LinkedIn. We're doing a LinkedIn live weekly with the founder in the program. We'll continue to do that with the next founders. And we're really trying to build a community and extend the community, you know, that thoughtbot has built with early-stage founders, so please join us. We'd love to have you. VICTORIA: Wonderful. That's amazing. Thank you both so much. INTRO MUSIC: VICTORIA: This is the Giant Robots Smashing Into Other Giant Robots podcast, where we explore the design, development, and business of great products. I'm your host, Victoria Guido. WILL: And I'm your host, Will WILL. And with us today is Brian Douglas, CEO of OpenSauced, helping enterprises discover best engineers in open source. Brian, thank you for joining us today. BRIAN: My pleasure. Thanks for inviting me on the podcast. VICTORIA: Just tell us a little bit more about OpenSauced. BRIAN: Yeah, it's opensauced.pizza is the URL. So I always point that out because it's easy to found. WILL: I love it. BRIAN: And OpenSauced is a platform for engineers to find their next contributions and enterprises to discover the best engineers doing open-source, so... VICTORIA: Right. So maybe tell me what led you to start this company? BRIAN: Yeah, that's a great question. Actually, if you don't mind, I'll start further back. I graduated college in 2008 during the financial crisis with a finance degree. And what I learned pretty quickly is, like, if you don't know anybody in finance, it's a little hard to get a job in a bad market. So I took a sales role instead, mainly because I just wanted to learn. I was very much introverted. I wanted to learn how to talk to people, and have conversation, and communicate. So I did that four years and then got my MBA. And then started learning how to code while building an app, which is...I mentioned before we hit record I learned about this podcast around that time, which is, like, very serendipitous to be on this podcast years later. But, fast forward, OpenSauced, like, because of the whole networking aspect of how I got my job in sales and how I was able to do sales when I learned how to engineer, I knew the connection to open source, or how I learned how to code was, like, a wealth of information. So I made it my career goal to meet as many developers as possible. And then, I was working at this company called Netlify. I was employee number three there. And my role was to basically be a front-end engineer, but where I was actually getting more adoption to the product by doing open source. Like, every time I'd do an open-source contribution, I'd add a Netlify deploy preview manually in my PR. And that would give the maintainer enough juice to review the PR sooner. And I was doing a lot of open-source contribution at the time. So I wanted to build a tool to maintain, like, all the PRs I had opened in-flight that I needed to respond back to or...because back in, like, 2016, notifications on GitHub they weren't the greatest. WILL: [laughs] BRIAN: So I built a tool just to keep up to date on what I had opened and how I can communicate back with the maintainer. And saw a need...actually, I didn't see the need. I used this thing myself, and then in 2020, I started live streaming myself, building more features on top of this, like, CRM tool, and had a few people ask, "Hey, can you add a login to this? I'd love to use this, too, with my own database and stuff like that." So I did that. I added login. And I say database, like, we actually originally started with no database. We used GitHub Issues as a tracking mechanism for tracking repos and conversations. We've since moved away from that because, now, obviously, GitHub's got way more advanced in how notifications work. But the sort of ethos of the project still lives today, and what we have in the open-source platform. So that's, like, the long tale of how we got to where we are today. And then, I spoke at GitHub Universe on OpenSauced back in 2017. And from that talk, I had GitHub employees reach out to me and ask me to work at GitHub. So I accepted, and I worked at GitHub for almost five years, sort of putting OpenSauced to the side up until last year, decided to go ahead and pursue it again. And at that point, decided to make it a company. VICTORIA: What a cool story. There are so many things in there that I want to follow up on. I'm sure, Will, you also are like -- [laughs] WILL: [laughs] Yes. VICTORIA: I have so many questions. [laughs] WILL: Wow, that's amazing just hearing the story from you [laughs] got a four-year degree in finance, 2008 happened, no job, very hard to get a job because of who you know. And then you go and changed directions to start learning to code. And I love how it's kind of guided your path to where you are here right now. Like, who knows? But would you have been the CEO of OpenSauced if 2008 would have never happened? So it's amazing to see it. So, I guess, because I love the idea of OpenSauced...because I am that developer that wants to get into open source, but it is hard. It is hard to find the issues that you can work on. It's hard to get into the community to do that. So, if you can just explain to me a little bit more as from there, and we can do it from the enterprise portion later. But, as far as a user: a developer, what does it look like for me to use OpenSauced as a developer? BRIAN: Yeah, yeah. And that's a great question, too, as well. It's funny how serendipitous the story is today, but when I was living it, it was like, oh, man, I'm never going to get a job. [laughter] Or I'm never going to learn how to code. And I think anybody listening who might be where I was ten years ago, I just want to preface, like, your story is like a guided path through experiences. And every experience is like an opportunity for that sort of one piece of, like, the sort of stepping stone to move on to, like, CEO of whatever your next startup is or senior engineer, or staff engineer, whatever it is. But, to answer your question, Will, we built a Discord, and the Discord itself is how we sort of discovered this sort of onboard ramp into open source. So today, if you sign up to OpenSauced, again, opensauced.pizza, you connect to your GitHub account, and you get on-boarded into a flow to ask a couple questions. So, like, what languages are you interested in? And then, what time zone are you in? And the reason for those two things is, one because we're going to do recommendations for projects pretty soon. Everything is open source, so you can literally see the issues that are open about recommendations; happy to take contributions and feedback on it. And then time zone is because communication is pretty key. So, like, if someone is not awake when I see their PR, I have an expectation of, like, cool, I'll write a response, and I'll wait for them to wake up and respond back to that. So the goal there is there's a lot of projects on GitHub, like, 372 million repos is the number off the top of my head. They literally announce this stuff, and they share the data. But of those repos, only 225,000 have more than five contributors. Understanding what you're looking to accomplish first out of doing open source to either share knowledge, or gain knowledge, to get exposure, to get a job, or just to enhance your current job by go try something that's not in the roadmap of what you're working on. Eventually, we'll start asking those questions around, like, what type of contributor that you want to be, so we can start recommending those types of projects. But I mentioned that 225,000 repo number because there are a lot of projects that don't have five contributors that could use their second contributor, or third, fourth. And my recommendation is always find up-and-coming, like, growth-stage projects. A lot of people want to contribute to React. You had mentioned you did React, Will. That's a really big lift to go contribute upstream to a project maintained and supported by millions of enterprises around the world. But there are tons of projects that go trending every week that have no documentation, that have no README, that have no structure and are just getting off the ground. Like, those are the best projects that we try to showcase. So, like, that's hot.opensauced.pizza is our sort of up-and-coming project list. And the way that works is like projects that are trending based on our open-source community; we surface those there. There's a lot of work we have to do on that project. That was, like, a Hack Week project we did a couple of years ago as a community. But the basis of that is they're looking to build our recommendation engine off that. So, step one is find a project that is welcoming, that needs some work done, and then find the path in. So the path usually is going to be your CONTRIBUTING.md, which is like established projects will have this. But if you don't find a CONTRIBUTING.md, but you find a project you want to use, chances are you could build that CONTRIBUTING.md and ask the question, so, like, hey, how would I contribute? Like, how can I be supportive? Actually, I did this talk a couple of years ago at Juneteenth Conf. It was a remote conference on Juneteenth, which a bunch of Black Engineers we all gave our technical expertise sponsored by Microsoft. And I was talking about the idea of open-source hospitality. The best thing you could do is be that sort of hospitable person, either you're a maintainer or a first-time contributor. Like, be that person to set it up for the next person behind you. And the idea of hospitality, you go to a hotel. Like, you know where the towels are. Like, you know where the soaps are. Like, you know exactly where everything is all the time. And, in open source, like, if we could set up our projects in a very similar fashion, like, not franchise them in a way like the Hilton or Marriott, but set the expectation that there is a way to source information and to interact and operate, so... VICTORIA: Yeah, I mean, I love, [laughs] like, hot.opensauced.pizza. That's hilarious. And I love how you have used humor to...even though it's a very serious product, we're making it more friendly and more hospitable like you're saying. And I like how you said, you know, the journey is cool looking back on it, but it was really hard to go through it. And now you're this wonderful speaker and a CEO. But you said that you weren't actually good at talking to people at first. And you specifically sought to get better at that skill. So I wonder if you would share more about that, how that's impacted your career, and why that's important as a developer to have those communication skills. BRIAN: Yeah, it's like...I have a twin brother since birth, basically. And my twin brother is very extroverted. Like, he actually used to wait tables in college. It was like he was the person that would make you feel very special as a server. Like, he's the type of person that kind of lights up the room when you walk in. His name is Brock. My entire life growing up, I was always Brock's brother. And it's like, oh, you're Brock's brother. And it's like, yeah, I'm Brock's brother. And I'm more of a person, like, if you meet me in person, like, I'm very much reserved. I'm sort of reading the room, waiting for my point to jump in. And I made it a point for me to, like, have enough comfort to speak on a podcast or speak at a conference because I knew that skill set would be valuable. Because I definitely had, in my sales career, definitely got overlooked for a lot of opportunity because folks thought, oh, I don't think Brian could do it. So coming into tech and seeing that when every time I went to a meet up...because meetups also are places where I cut my teeth and got to learn about the industry and the community. They always needed someone to speak. So I was, like, oh, there's an opportunity. I can leverage this opportunity of them always looking for speakers and me always wanting to share knowledge and learn something new to do talks. So my first-ever conference talk was in San Francisco. And I had learned React Native, but prior to React Native, I had learned Objective-C. And then, in between Objective-C and React Native, I learned Swift because React Native and Swift came out the same year. Well, React Native went public, open source, the same year as Swift. So it was like a really interesting year back in; I think it was 2017 where...actually, it might have been 2016. But, anyway, everything came out at the same time. And I was learning iOS development. So I made it a point for me to give a talk. But my pet peeve for giving talks is, a lot of times, people just go directly into the code, and there's, like, no connection to a story, or why do I care about this? So I always bring storytelling into my conversations and talks. So, like, that talk about Swift, and Objective-C, and React Native, I made the comparison of, like...it was the same year that Kanye West took the mic from Taylor Swift at the VMAs or whatever the award show was. And the correlation was React Native took the mic away from Swift because it built similar interactions for JavaScript developers to understand and build iOS applications that was not like Ionic or RubyMine or...I forgot the Ruby one. But, anyway, what I'm getting at is, I just wanted to bring story to this because usually what happens is like, you see cool things, but you never remember what the name is. You try to find that REPL again, or you try to figure out who that speaker is. And it's usually hard to find it after the fact. So, like, my goal was always to make it memorable, which is why I go by Bdougie because Bdougie is easier to Google than Brian Douglas. Shout out to Brian Douglas, who's based in Ireland who does system engineering, and has a great YouTube channel. Like, I want to be memorable. And I want to make it easy for folks to find me after. So, while at GitHub, when I was developing all this sort of like Kanye West-type speaking and stuff like that, well, literally, I would use Kanye West years ago as the example to understand storytelling. I no longer use Kanye West. I'm now a Beyoncé advocate. [laughter] So I use Beyoncé instead. But I guess what I'm getting at is, like, I just had a goal. And I knew if I could teach myself to code...and it was about 17 weeks it took me from zero to ship a Ruby on Rails app. And I felt confident enough to talk about it. I knew basically anything I could just accomplish just by putting some effort and consistency behind it. So that's the...sorry, that was a little more long-winded than expected. But I just keep accountable and set goals for myself and try to achieve enough to feel proud about at the end of the year. WILL: Yeah. It's so funny because I recently had a similar situation. At thoughtbot, we try to engage with the community, and one of the ways was writing a blog post. I've never been a writer. It just hasn't been my thing. But I was telling my boss, I was like, I'm going to do that to get outside my comfort zone and to really stretch myself. And at the same time, I was like, why a blog post? Like, I don't know, it doesn't really make sense why a blog post. Well, when I started writing the blog post, I was like, oh, you have to really know, one, what you're talking about in order to write about it. And so I had to really do some research, really had to study it. And I finished it last week. And then, now, looking back over the last couple of months it took me to write that blog post, I'm like, wow, I feel stretched. But I feel really good, and I feel really good about the topic that I did. So that's interesting that you went through that process to stretch yourself and to grow and even learning to code and get to that point. So talking about...you were at Netlify, and then you worked at GitHub. And then you're at your current one OpenSauced. How have Netlify and GitHub, the work that you did there, how has it prepared you for your position right now? BRIAN: You know, actually, that's a great question. I don't know how much thought I put into that. Like, Netlify prepared me because it gave me an opportunity. So I was employee number three, but I had a sales background. And so I got to be an engineer, but they kept always trying to ask me like, you know, business questions and strategy. And, like, I pitched them a 30-60-90 in my interview of, like, what's the growth strategy of Netlify, like day zero when I start? And I go into way more detail in other content. But that prepared me because I got to see how startups work, being so early. I got to see that startup go from seed-funded, just closed their seed round to get their series B is when I left. At GitHub, I got to see what it looked like at a bigger company, which, like, it doesn't matter how big or small you are, like, there's always chaos. Like, GitHub was, like, so much chaos, and there was a lot of good that was happening but a lot of uncertainty at the time I joined in 2018. And then, nine months later, Microsoft acquired GitHub. So then I got to learn stability and what it looks like to...for personal reasons, I always had a budget but never had extra money, even years into my engineering career. And that taught me what it looks like when success meets career. With that being said, like, the problem that I'm solving, I got to learn firsthand while being at Netlify and getting adoption and traction through open source. And then going to GitHub and seeing every single other company that looked at GitHub as a solution to their open-source collaborations and interactions. And then also seeing that there was a hole in just understanding, like, how do you survive? How do you sustain yourself as your career but also your open-source project? Like, a lot of folks want to know, like, what success looks like for open source. Like, how do you get on the trending algorithm? Like, how do you get noticed? It's more than just pushing to GitHub and hoping for the best. There are, like, other things that happen for projects to be successful. And for us to choose the next in the future technologies, it really comes down to community, marketing, and then resources. And those three things end up making projects successful. With OpenSauced, we're working to help inflate some storytelling and add some of those resources to open-source projects. VICTORIA: Great. So you were able to really get, like, the full vision of what it could be if you had a product that became successful and stable, and you knew you wanted to build it on open source. So I love that you really just...you had this problem, and that's what you built the product around. And that ended up becoming the business. What was surprising for you in those early discovery phases with OpenSauced when you were first thinking of building it? BRIAN: I guess what's really surprising is we're not, like, crazy traction today. But we've done a pretty good job of getting, like, 2,000 developers to sign up to it since December. And then the conversations with enterprises so far just by the sheer...like, basically, what was surprising is if you use proper sales technique and you're early stage as a startup, so, like, not necessarily hire salespeople, but as a founder or as a stakeholder, just go talk to your future customers and your users. Everyone says it, but that's actually super valuable. And I think in the same vein of open source, folks they see projects die on the vine, but then you see projects succeed. And I think it also comes down to how often the maintainer of the project is talking to the contributors and the users and also that distinction as well. There are folks who want to contribute code to the codebase, but then there are folks who want to use the codebase. And, like, how do you interact between the two? And how do you cross the chasm for those folks as well? And, a lot of times, it's just fascinating just, like, just by trying, and just by showing up, that's half. It's all cliché stuff, like, I could say, but it's all true. Like, showing up is, like, it's, like, step one. Just show up, do the thing, do the work. And then talk to people is, like, step two. And it's hard to say, like, okay, yeah, because we are not a multibillion-dollar company, like, we're just getting started. So I can't say, like, yeah, we're super successful. But we've survived the year. And we've survived the year based on those two steps, the showing up and then talking to people. Because a lot of times, we could get lost in the sauce, per se, of just shipping code and never talking to anybody and never coming up for air. And I think what I learned, going back to what I learned from GitHub and Netlify, is talking to people and getting that feedback loop going is the best thing you could do for any product. Any early project, any feature you're working on, talk to people about it and see if it's actually valuable for somebody that after you ship it, something will happen. WILL: You're talking about communication is a big thing for a successful project. Have you noticed any other trends that make a successful open-source project? BRIAN: Yeah, that's...Any other trends? Yeah. I mean, AI, [laughs] just kidding. WILL: [laughs] BRIAN: No, I mean, but it also it is true, like, having a trend not sort of following the herd, but catching the herd earlier is extremely valuable. Like, at Netlify, we caught the trend of React. So, basically, Netlify built essentially GitHub Pages but a product and a company. And that was, like, the original project of Netlify. It's expanded so much further from that. But at that time, when I joined, I joined three months before Create React App was developed. So, like, it was a CLI tool to build React apps easy. And, prior to that, React was, like, super complicated to get up and running. Like, you had to know Webpack. You had to know, Babel. You had to make all that glue happen together. And then there wasn't an easy process to go host it somewhere. So the prevalence of build tools like Grunt, and Gulp, and Browserify, they all made it easier to build a static output from React. And that trend is what took Netlify to where it is today. It's like, people needed a place to deploy these static applications. GitHub Pages was like the solution for a lot of folks. Because Heroku, like, why pay $7 for something you could host on S3 for free? But the challenge was S3 it requires way more thought in how you host and take it down and deploy, and then it becomes like a Kubernetes nightmare. So the trend there was, like, people just wanted to have a better developer experience. When it comes to, like, open source, the developer experience in JavaScript has improved so much more. But folks are now looking at the next thing like a Zig, or a Rust, or all these other new languages and server renderings and stuff like that. So I guess when I take a step back, when I look at how I chose things I wanted to work on, and communities I wanted to hang out in...before committing to React...I'm based out here in Oakland, so San Francisco, basically. By seeing the sheer number of RSVPs to the React meetup, it made me confident that React would be something I should pay attention to. When you look at the RSVPs of now all these AI meetups that are happening in San Francisco, like, every single weekend is a hackathon. Highly confident that if you're engineering today, you probably want to know what embeddings are and know how OpenAI works. Not that you necessarily have to build AI stuff, but it is going to be the thing that people are going to be using. So just like we had to learn build tools, and servers, and CDNs prior, now it's all trivial stuff that you can sort of use Cloudflare for free. Like, AI is going to be very similar, and it's probably going to happen much quicker. But, in the time being, the trend right now is, like, you should probably understand whatever the players are in that space so that way you're able to talk confidently about it. WILL: That's really good advice, yep. VICTORIA: Absolutely. And, you know, in my role as Managing Director of Mission Control, or, like, DevOps, SRE platform, I spend a lot of time looking at trends, more on the engineering side. So I think my question is, [laughs] as someone who hires people to work on open-source projects, and who actively maintains and contributes to open-source projects, what should I be thinking about how to use OpenSauced as in my role? BRIAN: For hiring and sourcing skilled folks, we're actually working on a tool right now to make it more discoverable. So, today, when you onboard as an individual developer, you can check a box in your settings to say, like, if you want to collaborate with other folks, you have to opt into it. So if you want to be discovered on OpenSauced, it's in the settings. We'll probably expose that and share more about that in the future, like, in the next month or so. But for, in particular, our user flow today for folks looking to find other people to contribute alongside their project is, you add your project to what we call an Insight Page. You click on the tab on the top and create a page with your project. And then, you can see contributions in your project in the last 30 days. And then you can also add other projects like your project, so you can see who else is contributing. So, that way, you can start discovering folks who are making contributions consistently and start to get some stories of, like, if they're interested in collaborating, they'll check that box; if they're not, the box won't be checked. But at least you know the sort of scope of the ecosystem. As an individual developer, we have the onboarding flow, but then we also have highlights. So, eventually, we'll do recommendations to get you to make contributions. But, for now, if you're already making contributions, you can highlight the contributions you've made so that way, you're more discoverable on the platform. And the highlights are very much like a LinkedIn post or a tweet. You just drop in a PR, and then we'll either generate that description for you, or you write a description: I did a thing. This is what it was. This was the experience. And then, now you're attached to the project through not just a code contribution but also a discovery mechanism, which is a highlight. And then, eventually, we'll start doing blog posts, and guides, and stuff like that, as they're written. Like, if you want to attribute your career, and your journey to your participation to, like, documentation updates and stuff like that, those will also be highlights coming soon. WILL: I love, love, love that. MID-ROLL AD: Now that you have funding, it's time to design, build and ship the most impactful MVP that wows customers now and can scale in the future. thoughtbot Lift Off brings you the most reliable cross-functional team of product experts to mitigate risk and set you up for long-term success. As your trusted, experienced technical partner, we'll help launch your new product and guide you into a future-forward business that takes advantage of today's new technologies and agile best practices. Make the right decisions for tomorrow, today. Get in touch at: thoughtbot.com/liftoff WILL: I hear you saying that you have some things that's coming soon. In a high, high level, what are some of the things that you have coming? And what does success look like, six months, a year? What does that look like? Because it sounds like you have some really good ideas that you're working on. BRIAN: Yeah, yeah. So, like, six months to the end of the year, what we want to do is actually start getting more deeper insights to what's happening in open source. What we're doing right now is building the individual developer profile and experience so that way, they're able to be discovered, find projects to work on. And then what's next is there are tons of enterprises and companies that are maintaining open-source projects, SDKs. And what we're seeing right now is we're seeing massive layoffs happening currently in the industry. So like, as of today, I think Facebook laid off 4,000 people, ESPN laid off, like, 7,000 Disney employees as well. And some of those employees are around the Disney+ place. It's a lot of technical engineering stuff. So I guess what I'm getting at is there...we want to be able to see the trends of places that activity is happening and start recommending people to that. But also, we want to give an opportunity for folks who...companies...sorry, I'm avoiding trying to name specific companies because nothing is in contract yet. But certain companies, like, you, don't think of as an open-source powerhouse. So, like, a company we're now talking to right now is walgreens.com. And Walgreens they have tech. They've got open source that they participated. But they're not thought of as a place like, oh, I want to go work at Walgreens and go work on some cloud infrastructure stuff. So, how does Walgreens get exposure? And, like, hey, we're involved in the kubectl, and the Kubernetes platform and stuff like that, like, be aware that there's opportunity here. So we're going to start driving that connection to folks. So, as you develop your career doing open source, you can also be noticed, and folks can reach out to you. And also, I want to stand on the notion of open source is not for everybody. But I also want to point out, like, my entire career in open source has not been nights and weekends. It's always been finding a company that supports my interest to do open-source at work. Part of my story is, like, I was getting an MBA. My first kid, who's nine years old now he, was born 11 weeks early. And he's the reason why I built an app because I wanted to build an app to solve a pain point that I had, and ended up building that in 17 weeks. And that turned into opportunity. So I guess what I'm getting at is, like, folks being laid off right now, you might have some extra free time. You might be submitting like 100 applications a day. Consider taking that down to 50 applications a day, and then try to contribute to a couple of open-source projects a month. So that way, there's some more story to be shared as you're in the job market. VICTORIA: I love that you created that app when you had your son and you had that need. And for developers wanting to get noticed and wanting to get their next leg up or maybe even negotiate for higher salaries, what's the traditional way people do that now to kind of highlight themselves? BRIAN: The traditional way what people are doing is they're tweeting. They're speaking at conferences. They're sharing their stories. It's like zero to I'm an influencer in the open-source space. There's no real clear guide and steps to get to that point, which is why we have highlights today. Like, we want to make it low effort for folks to write 200 characters about something they contributed to. We're actually working on something to generate pull request descriptions because I think that's another missed opportunity. Like, when you open a PR in an open-source project, and it says no description added, like, that's a missed opportunity. Like, there's an opportunity for you to share what you've learned, what Stack Overflow questions you looked at, like, how you got to the problem, and why this is the right solution. All should be in the pull request description. And then that pull request should be in your cover letter for your resume so that people can go back and say, "Oh, wow, you did some real work." I can go see the history of your contributions because perhaps the job you got let go from you only worked in private repos. You couldn't really showcase your skills. That now gives you a competitive edge. And I guess when I look into this, like, going back to my original onboard ramp into engineering, I graduated with a finance degree with no network. I had one internship at an insurance company, but that wasn't enough. Like, everyone who I interned with, like, the guy who got a job at the internship, like, his dad was a client, was a big client at that firm. And another guy he worked at a golf course, and he'd be the caddy for all these big finance folks where I went to school. So, once I learned that there's an opportunity to get a job by just knowing people, that changed my entire path. Like, when I got to sales, like, oh, or when I got to engineering, I just knew go and meet people. Go have conversations. Go to meetups. What I'm trying to do with OpenSauced is make that step closer for folks, so they could look up and be like, you know, I've made all these contributions, or I don't know where to start. Let me just look at people who I know and follow in the industry and see where they're contributing, and make that connection. So, like, we've kind of closed that gap without the need of, again, you don't need 100,000 Twitter followers to get noticed. Just make some contributions or show up and ask questions. And, hopefully, that's the first step to establishing your career. VICTORIA: Well, that sounds great for both people who are looking to get hired, but also, as someone who hires people, [laughter] I know that there's a lot of amazing developers who are never going to do a conference talk, or they're not going to post on Twitter. So I love that that's available, and that's something you're working on. BRIAN: Yeah, it's just coming out of my own pain of, like, I was saying, like, looking at the story now, it sounds great. [laughs] But part of that story was like, hey, I was getting severely underpaid as an engineer in San Francisco, living in a one-bedroom apartment with two kids. Like, all that part of the story is like nothing I dwell on. But it's like, all that opportunity and knowledge-sharing that I ended up benefiting from, it's like what I constantly try to give. I pay it forward with folks. And I'm more than happy to talk with folks on Twitter and in OpenSauced Discord and other places because I think there's a lot of opportunity in open source. And if anybody's willing to listen, I'm willing to show them the path. WILL: I'm so glad you brought that up because this is one of my favorite questions I ask on the podcast: So, knowing where you're at right now and your story, you've gone the ups, the downs, all of it. If you can go back in time and know what you know now, what advice would you give yourself at the beginning? BRIAN: Honestly, I would say write it down. Like, one thing that I did is I did a blog post, and that's part of the reason why I was able to find my first job in engineering is I started a blog, which was really for myself to learn what I did yesterday. I tell everyone who I mentor it takes two hours every time you want to sit and learn something new because one hour is to remember what you did yesterday, and then one hour is to do something new. And so, I usually write it down and then make it a blog post just to solve that problem. I wish I did more with that, like, you know, wrote a book, or created a YouTube channel, or something because all that knowledge and that sort of sharing is actually what got me to level up faster. I was asked by one of my close friends, like, "Hey, how do you do it? How do you accomplish everything you've done in the last, like, 9-10 years?" And I didn't know what the answer was then. But the answer today for my friend, and I'll share this with them, is it's because I wrote it down. I was able to go back and see what I did. And then, at the end of six months, I was able to go back six months and see what I did. It's like the idea of relativity with, like, Einstein. Relativity is the idea of motion and the perception. Like, if you're in a train, it feels like you're just going slow. But you might be going 100 miles per hour, but you don't feel that. And when you're going on your journey, you could be going 100 miles per hour, but you're thinking, oh, man, I failed yesterday. I could have solved a problem. But yeah, you solved six problems while trying to solve for one. It's that situation. So advice for myself, in the beginning, write it down and then share it way more than I did when I started. Because a lot of the stuff I'm like, even in this conversation, I'm thinking, oh yeah, this, this, and this. And I never shared that before, and I wish I did. So yeah. WILL: I love that. Because yeah, I feel like that's development, like, you have some weeks that you're shipping out multiple features. And then other weeks, you're like, I barely got one out, or I barely fixed this one bug that I've been trying to...struggling with the last couple of weeks. So yeah, I like that advice. Write it down. And remember where you've been, remember. I just love the example you used, too, because it does seem like I haven't made any movement. But when you look back, you're like, no, you actually made a lot of movement. And you were very successful with what you did. So that's great advice. VICTORIA: I sometimes write things, and then I go back maybe six months later and read them. And I'm like, who wrote this? [laughter] I don't remember learning this stuff. Oh yeah, I guess I did, right, yeah. [laughs] No, that's so cool. What questions do you have for us, Brian? BRIAN: I'm curious in, like, how do thoughtbot folks stay up to date? Like, what does your involvement in open source look like today? VICTORIA: Yeah, so we are known for being active maintainers of a lot of very popular Ruby on Rails gems. So we're a consulting agency. So we're able to structure our time with our clients so that we can build in what we call investment days, which is typically Fridays, so that people can contribute to open-source projects. They can write blog posts. They can do trainings. And so that gives us the structure to be able to actually allow our employees to contribute to open source, and it's a huge part of our business as well. So if you have a Ruby on Rails project, you're probably using one of our gems. [laughs] And so, when there's other crises or other things happening in an organization, and they want to bring in an expert, they know that that's who thoughtbot is. Of course, we've expanded, and we do React, and now we're doing platform engineering. And we have some open-source TerraForm modules that we use to migrate people onto AWS and operate at that enterprise level with a mix of managed products from AWS as well. And that continues to be, like, how we talk to people [laughs] and get that buzzword out there is, like, okay, there's this cool open-source project. Like, one I'm excited about now is OpenTelemetry. And so we're digging into that and figuring out how we can contribute. And can we make a big impact here? And that just opens the door to conversations in a way that is less salesy, right? [laughs] And people know us as the contributors and maintainers, and that creates a level of trust that goes a long way. And also, it really speaks to how we operate as a company as well, where the code is open and when we give it back to the customers, it's not. Some organizations will build stuff and then never give it to you. [laughs] BRIAN: Yeah. So it sounds like folks at thoughtbot could probably benefit from things like OpenSauced for discoverability. And I get a lot of conversation around in OpenSauced as like, how do I get connected to maintainer of X or maintainer of Y? And the first step is like, how do I even know who the maintainer is? Because when you go to GitHub, you could sort this by last commit date, which not a lot of people know. You can sort the contributors by most frequently and stuff like that. But it's challenging to find out who to reach out to when it comes to packages, especially when people move on. Like, someone created a thing. They have tons of commits. And then they look like they're the number one committer for the past ten years, but they left five years ago. Those are things that we're trying to make more discoverable to solve that problem. But then, going into that thoughtbot thing, is like being able to reach out to thoughtbot and be like, oh, who can I reach out to about this gem? And, say, I have an idea, or we have an issue; how can we get unblocked because we're using this in our product? And I imagine with consulting, there's an opportunity to say, hey thoughtbot...which, honestly, at Netlify, we used thoughtbot to solve some harder problems for us. We were just like, yeah, we don't have the bandwidth to go down this path. Let's go to consulting to unblock us in this arena. VICTORIA: Right. And that was really important to me in making the decision to join thoughtbot last year is that it was built around open source. And that ethos really spoke to me as, like, this is a place where I want to work. [laughs] And you can think of, like, if you're looking for vendors, like, oh, I want to work with people who have that same ethos. So yeah, OpenSauced seems like a really cool product. I'd be curious about how we can leverage it more at thoughtbot. BRIAN: We just shipped a feature called Teams, which it's self-explanatory. But, basically, when you build an insight page, you're able to build a team to help the discover process of what's happening in contributions. You get details and reporting on OpenSauced. The goal is basically to unblock teams who are involved in open source together and make it more discoverable for folks who want to find maintainers and collaborate with them. VICTORIA: Will, I know we're running close on time. But I had one more question about what you said around making open source more hospitable. And, you know, you mentioned going to Juneteenth Conf. And I'm curious if you have a perspective on if open source is equitably accessible to everyone or if there are things we can be doing as a community to be more inclusive. BRIAN: Yeah, it's a great question. So the first answer is quick, it's no. The reason why it's no is because we have to admit [laughs] where there are inequitable situations. And as much as we want to set this up of, like, I want to say that there's opportunity for everyone to contribute based on no matter where their background, but just by your time zone, makes it inequitable of, like, whether you can contribute to open source. Because if you look at the data and zoom out, most open source happens in the West Coast U.S., so from San Francisco to Seattle. Like, majority of contributions are there. There are reasons for that. Like, California has a very, very expressive clause of like where you can contribute. And, technically, your employer can block you on doing open-source contributions. Unless you sign...like, at Apple, you sign away your rights to be able to do that in your employee offer letter. Sorry, [laughs] not to be a dig against Apple. Apple buy lots of open source. But what I'm getting at is that the opportunity is there, but it's the awareness thing. I'm part of an organization called DevColor. It's an organization of Black engineers in tech. We have squads and monthly meetings where we just talk about our career, and growth, and stuff like that. And I attribute a lot of that interactions to my success is, like, talking to other folks who are years ahead of me and have a lot more experience. But I say this because the majority of the folks that I interact with at DevColor they don't do open source because they all...to be a Black engineer at a level of like senior engineer at Netlify, or a staff engineer, or a manager...sorry, I meant, like, Netflix but Netlify too. You basically had a career path of, like, you probably went to school at a decent engineering school, or you figured out how to get a job at Facebook or Google. And, like, that's pretty much it. And, like, this is a blanket statement. I totally understand there are outliers. But the majority of the folks I interact with at DevColor they have a job. They have a great job. And they're doing the thing, and they're being very successful. But there's less community interaction. And that's what DevColor exists for is to encourage that community interaction and participation. So, at the end of the day, like, there's opportunity to make it more equitable. So things like, every time there's a release cut for a major open-source project, why not go to Black Girls CODE and have them build something with it? And, again, very specific, like, React 19 that's currently being tested, why not go to all these other underrepresented organizations and partner with them to show them how to use this project? Because the assumption is everyone in open source, you got to be senior enough to participate, or if it's too hot, get out of the kitchen. But if we set up a place for people to interact and level up, in three or four years from now, you'll see the open-source ecosystem of that project be completely different as far as diversity. But it takes that investment to have that onboard ramp to even have that connection or conversation about testing early releases with underrepresented groups in engineering. That's where we have to start, and that's what we're trying to do at OpenSauced. We want to make that connection. I have a whole plan for it. I'll share in a blog post. I also mentioned that a lot of these thoughts are on our blog as well. I've been writing blog posts around these conversations. So opensauced.pizza/blog if you're interested. VICTORIA: Very cool. Thank you for that. WILL: I'm just processing on the whole conversation. It has just been great. VICTORIA: Yes. Thank you so much for sharing with us. And I wonder, do you have any final takeaways for our listeners today, Brian? BRIAN: Yeah, final takeaways. Like, if anything at all resonated in this conversation, please reach out, bdougie on GitHub. I'm pretty active with my notifications. So if you @ mention me in a random project, I'll probably jump back in and respond to you. But also Twitter @bdougieYO. And then, I mentioned our blog. We also have a newsletter. So, if you're interested in any of this OpenSauced journey, please join us there, and keep in touch. VICTORIA: Wonderful. Thank you so much for joining us today and sharing your story. You can subscribe to the show and find notes along with a complete transcript for this episode at giantrobots.fm. If you have questions or comments, email us at hosts@giantrobots.fm. And you can find me on Twitter @victori_ousg. WILL: And you could find me @will23larry This podcast is brought to you by thoughtbot and produced and edited by Mandy Moore. Thank you. ANNOUNCER: This podcast is brought to you by thoughtbot, your expert strategy, design, development, and product management partner. We bring digital products from idea to success and teach you how because we care. Learn more at thoughtbot.com. Special Guest: Brian Douglas.

ArtBeat Radio
Episode 139: Monologues from The Taming of the Shrew

ArtBeat Radio

Play Episode Listen Later Dec 9, 2022 6:49


Welcome back to Artbeat Radio!  ART Center had the amazing vocational opportunity to participate in The Inclusive Theater Festival this year. They Zoomed in from Long Beach to Chicago to share what they had been working on for the past semester in their Shakespeare class, performing monologues in costume from Taming of the Shrew, and participating in a panel for questions about their process. Listen in as they share their monologues in an ABR exclusive performance. With Nancy Terrey as Petruchio, Brian Corder as Sly Christopher, Aaron Francis as Bianca, and Eric Recillas as Baptista, this is an episode you do not want to miss! A special thank you to Seesaw Theater and the ART Center costume and props department. Becky Neuhaus, Lisa Mellow, Lorenia Varela, and Ricky Parral designed costumes and props to be used in the live performance.Seesaw Theatre's Seventh Annual Inclusive Theatre Festival is a weekend-long conference celebrating the strides being made in inclusive and accessible theatre. This event aims to bring together theatre artists and practitioners from across the country, giving us all the chance to learn about the amazing work being done and how we can improve our own work while supporting marginalized communities. This event is intended not only for theatre artists (students and professionals alike), but also for the disability community and their families, educators working with disabled individuals, and truly anyone interested in this ever-expanding and heart-warming field of inclusive theatre.Thanks for listening and tune in next time! For more information about our organization, please visit our website www.ableartswork.org  Audio Transcription: (Please listen on Podomatic or Spotify to view the full transcript) *Intro music by Artbeat Radio staff*  Music, stories, and more! You're listening to Artbeat Radio, a program of Able ARTS Work.  Aaron: Welcome to Artbeat Radio  Brian: This semester, we've been working on taming of the shrew. A play by William Shakespeare Nancy: In fact, we presented our work at the Inclusive Theater Festival in Chicago. Brian: You're about to hear the monologues that we've been working on for taming of the shrew. All: Enjoy! Brian as Christopher Sly: What, would you make me mad? Am not I Christopher? Sly's old, Sly's son of Burtonheath? By birth a peddler, by education, a cardmaker, by transmutation a bear-heard and now by present profession, a tinker? As Marian Hacket, the fat ale-wife of Wincot, if she know me not. If she say I am not 14 pence on the score for sheer ale, score me up for the lyingest knave in Christendom. What, I am not bestraught!  Aaron as Biana: Why, I am past my gamut long ago. Oh, alright. “A re”. To plead Hortensio's passion. “B me” Bianca, take him for thy lord. “C fa ut” that loves with all affection. “D sol re” one clef, two notes have I - “E la mi” show pity or I die. Call you this gamut? Tut, I like it not! Old fashions please me best; I am not so nice to change true rules for odd inventions *Shuffling noises* Eric Signor Baptista: Why, how now, dame. Whence grows this insolence? Bianca, stand aside- poor girl, she weeps. Go ply thy needle, meddle not with her. For shame, thou hilding of a devilish spirit. Why doust thou wrong her that did ne'er wrong thee? When did she cross thee with a bitter word? What, in my sight! Bianca, get thee in. Was ever gentlemen thus grieved as I? But who comes here? Nancy as Petruchio: They shall go forward, Kate, at thy command. Carouse full measure to her maidenhead, be mad and merry, or go hang yourselves; but, for my bonny Kate, I will be master of what is mine own.  She is my goods, my household stuff, my field, my horse, my ox, my ass, my anything; and here she stands, touch her whoever dare! Draw forth thy weapon, we are beset with thieves; rescue thy mistress if thou be a man. I'll buckler thee against a million! Nancy: Join us next time for more from Able ARTS Work. *Original piano orchestration of “Brush up your Shakespeare” from Kiss me Kate played by Eric Recillas on keyboard, accompanied by an original backtrack also written by Eric Recillas* Nancy and Brian: Goodbye from Able ARTS Work! Nancy: Cut! *Outro music by Artbeat Radio staff*  We hope you enjoyed this episode of Artbeat Radio. For more information, please go to our website. Ableartswork.org. Thanks for listening and tune in next time!  

ArtBeat Radio
Episode 130: The Monster Within: By Brian Corder

ArtBeat Radio

Play Episode Listen Later Oct 7, 2022 12:13


Welcome back to Artbeat Radio! Today we have an original story by Brian Corder of ART Center. He wrote this story over the period of about two and a half weeks and had a total of three drafts. This story is about “kicking COVID's butt!”. Below is a message from Brian.  “Thank you everyone for being there for me when I need you. Stay tuned because this episode will be spine tingling! It'll keep you listening for more.”   - From, B.C.  Special thanks to Sergio Leal, Eric Recillas, Ricky Parral, Nancy Terrey, Lisa Mellow, and Aaron Francis for music, lines, and sound effects for this episode!  Thanks for listening and tune in next time! For more information about our organization, please visit our website www.ableartswork.org   Audio Transcription: (Please listen on Podomatic or Spotify to view the full transcript) *Intro music by Artbeat Radio staff*  Music, stories, and more! You're listening to Artbeat Radio, a program of Able ARTS Work.  Nancy: Welcome to Artbeat Radio. Today we have Brian Corder who wrote a story. Welcome Brian! What are you going to do Brian?  Brian: Nancy, I'm going to read my story of me beating COVID's behind. Nancy: That's good.  Aaron: What is your story about?  Brian: It's about COVID taking us hostage and I just- something in my mind snapped for four nights in a row and I just decided to write a story about COVID. Back in our lives for far too long.  Eric *sigh* Do you think COVID will ever end?  Brian: I like to think so. But you see, this is just a dream and you can dream about anything in the- one of those dreams.  Eric: And now, let's listen to Brian's amazing story!  *Xylophone and piano theme plays*  Brian: The Monster Within by Brian Corder. Once upon a time, in a land far far away, for three nights in a row, eleven weeks ago, I had a dream that a monster that was named COVID wreaked havoc on everyone he touched. By the end of 2019 into early 2020, he was just starting to emerge. *door opening* The monster was flexing his muscles, meanwhile, our future hero, was watching programs on tv *tv static* and something was afoot *foot stomping*. It was very scary- so scary that this future hero summoned three people to custom make a cape that was blue Kryptonite.   Nancy: “I need a custom cape made out of blue Kryptonite!  Brian:  Three people came up with the perfect name for him. The name of the hero was COVID-MAN! *Applause with chanting *The blue kryptonite made him all the more stronger. He doubled up his fist. When COVID-Man was at the right place in the galaxy, he drew up his fist and let his fury do the talking! *fist noises* it showed no mercy. And he said, "I'm just beginning to take you apart- piece by piece!”  Nancy: “Piece by piece!”  Brian: Be prepared to meet your maker!   Brian: “Be prepared to meet your maker!” *evil laughter*  Brian: You've kept a whole lot of people hostage for too long.   Sergio: “Too long!”  Brian: But COVID, you're going to die!   Brian: “But COVID, you're going to die!”  Brian: After the display died down and went away, many people were treated to a real old-fashioned type of fireworks display.    *Yankee Doodle plays on the flute*  Brian: Along with the tremendous explosion of the thunderous sounds of a pat on the back *pats on the back* COVID-Man's bravery was enhanced when this reporter asked a question, "Now, COVID-Man, what did it feel like to get rid of the hatred that this monster known to all of us as COVID wrecked upon the land?"  Brian: “It was terrific. Yeahhh!”  Brian: "Beautiful!" Said COVID-Man to the reporter.   Nancy: “Beautiful, son!”  Brian: After the show was over and done with, every one of the townspeople cheered and the thunderous round of applause which was made more brighter by everybody's fun, shiny, energetic feeling that all of the world would be alright no matter where you go.   *Applause and cheering*  Brian: The mom of the daughter was downstairs watching tv and a bulletin came on and there was this reporter interviewing COVID-Man about what he did and how the townspeople Felt about him- "Awesome!   Aaron: “Awesome!”  Brian: Fearless!  Nancy: “Fearless!”   Brian: And powerful!  Sergio: “Powerful!”  Brian: Were some of the terms that described the feelings in the battle between COVID-Man versus COVID. The girlfriend of COVID-Man called her mom to sit on the couch. The mom said, "Here is someone I think you should see. If you want, I can drive you down to the studio to meet him.”   *Car ignition*  Brian: “Oh COVID-Man. I bet you could protect me against anything," said the girlfriend to him in the dream until it was finalized for COVID-Man to kill COVID.   Brian: “Finally, your time has run out!”  Brian: COVID-Man told the reporter that it was an honor to get rid of every town of this menace.  Nancy: “Get out, COVID!”  Brian:  The president was even notified via email. *typing noises* Then he reached over to his computer. " COVID-Man saves the world" That was the story of the front page. *pages turning*  Nancy: “COVID-Man saves the world!”   Brian: The president told his staff to get air force one ready to go. *Airplane taking off* “We've got to present a medal to COVID-Man. He's a very useful weapon right now”  *Drumming*  Brian: They proceeded to take off to where COVID-Man was. The president presented COVID-Man his medal and said “it's for the bravery of becoming what you could do under very trying circumstances. I give YOU this medal for what you did." After the presentation was over, the president and the staff went back to the white house.  Aaron: “Come on. Let's go back”  Brian: "I think I tapped COVID-Man on the shoulder" said the reporter in a very high-pitched female voice. "Can I ask you a question?"   Nancy: “Can I ask you a question?”  Brian: Now COVID-Man was out of the wall and this reporter had a hat, suit, tie, and was holding a microphone in her hand. She sat the microphone down, took her hat, suit, and tie off and finally the interview was over.   Nancy: “Thank you, COVID-Man!”  Brian: "Thanks COVID-Man for the interview." It was finally revealed that the reporter was his girlfriend and she revealed this to him and then they lived happily ever after!  *Only Yesterday by the Carpenters*  Nancy: Brian, I think you were marvelous at that story.  Brian: Well, thank you very much, Nancy!  Aaron: Brian, how'd you like that story?  Brian: My favorite part of the story was blue Kryptonite which makes COVID-Man stronger.  Nancy: Is there anything you wanna tell the audience?  Brian: Well, I think it ought to be said that I like the part in which the president told the staff to get Air Force one ready and that he was going to be a very special weapon against crime. Well, I'd like to say thank you everyone for supporting me!  *Outro music by Artbeat Radio staff*  We hope you enjoyed this episode of Artbeat Radio. For more information, please go to our website. Ableartswork.org. Thanks for listening and tune in next time! 

The No Cap Health Show
071 - Tips & Best Practices for Ensuring Your Hair Maintains Enough Moisture

The No Cap Health Show

Play Episode Listen Later Sep 14, 2022 12:55


Episode SummaryWelcome to The Dr. Brian's Health Show, a weekly podcast where Dr. Brian Boxer Wachler uses his decades of experience in medicine and ability as an expert researcher to provide a light-hearted approach and share health trends popular on TikTok. In this episode, Dr. Brian provides his Cap/No Cap analysis on today's topic: Hair Porosity: Tips & Best Practices for Ensuring Your Hair Maintains Enough Moisture. What is Hair Porosity? What's the difference between high, medium, and low hair porosity? How can you check if your hair maintains enough moisture? Find out in today's episode! If you're enjoying the show, we'd love it if you leave the show a Rating & Review at https://ratethispodcast.com/NoCap (RateThisPodcast.com/NoCap). Key Takeaways01:06 – Dr. Brian introduces today's topic: Hair Porosity: Tips & Best Practices for Ensuring Your Hair Maintains Enough Moisture 02:27 – What is Hair Porosity? 04:57 – The difference between high and low hair porosity 06:12 – Helpful tips for managing low, medium and high hair porosity 09:18 – Dr. Brian provides the Cap/No Cap Recap of today's episode 10:18 – Dr. Brian makes an exciting announcement about his upcoming book at https://www.influencedsocialmedia.com (https://www.influencedsocialmedia.com) 12:10 – Dr. Brian teases next week's topic and reminds listeners to Subscribe, Rate and Review this podcast on https://ratethispodcast.com/NoCap (RateThisPodcast.com/NoCap) Tweetable Quotes“So, let's just first even talk about the anatomy. Let's do a little autopsy on hair. You pluck out your hair; that poor hair follicle is dead. So, we're gonna do a little autopsy now - a little hair follicle autopsy.” (02:45) (Dr. Brian) “The whole concept of porosity has to do with how much moisture your hair can absorb and retain. So if it's low porosity, it means that your hair physically cannot get moisture in it.” (03:08) (Dr. Brian) “You can't necessarily change your porosity. It's usually due to genetics. But, I think it's a good idea to test your hair just to see because there are certain things you can do to manage your hair based on if you have high, medium, or low porosity.” (05:55) (Dr. Brian) “There's certain things you can do, real quick, for low porosity hair. Apply protein-free conditioners when your hair is already wet. Look for glycerin and honey in products like shampoos or conditioners and apply heat to help absorb the moisture.” (09:33) (Dr. Brian) Resources MentionedDr. Brian's amazing new book on social media, INFLUENCED, featuring his incredible insights and experiences along with many of your favorite influencers. Endorsed by many influencers including Rob “Gronk” Gronkowski - https://www.influencedsocialmedia.com/ (https://www.influencedsocialmedia.com/) DM Dr. Brian your questions and we will respond back with answers - https://v.cameo.com/F5MH0Hglnmb (https://v.cameo.com/F5MH0Hglnmb) https://www.boxerwachler.com/ (Dr. Brian's Website) https://www.tiktok.com/@brianboxerwachlermd? (Dr. Brian's TikTok) https://www.instagram.com/drboxerwachler/ (Dr. Brian's Instagram) Please remember, Dr. Brian is a doctor, but he is not your doctor. He is here to provide general information, not medical advice, so you should always check with your doctor before relying on any information. Podcast Production & Marketing provided by FullCast Copyright. Advanced Vision Education, LLC See https://omnystudio.com/listener (omnystudio.com/listener) for privacy information.

Supernatural Confessions
#174 - No way out | White Woman | Remaung - Friday Night Live Ep39

Supernatural Confessions

Play Episode Listen Later Sep 12, 2022 95:35


1) No way out by Cara (narrated by Lijia) How often u get lost on a road that you travel frequently, if this is not something covering your eyes, we do not know what is. 2) White woman in my room by Gian Fatt (narrated by Brian) You saw a woman peeking out from your room, you ran to check, there's no one there but a stone cold room, what is the next step? Confessor went to get his father that returned with some powerful talisman. KYH - Remaung, Iban's mystical creature Links: BUY US COFFEE! https://www.buymeacoffee.com/scfridaylive Full video, click here: Youtube/SupernaturalConfessions You can submit your confession here: Supernatural Confessions You can join our Facebook group here: SC Private Group, It must be the Hantu

The Fifth Column - Analysis, Commentary, Sedition
370 "Going Commando, Occasionally Reliable Sources"

The Fifth Column - Analysis, Commentary, Sedition

Play Episode Listen Later Aug 27, 2022 122:49


* Zuck Talks w/ Rogan* Student Loan Forgiveness* Who Cares if It's Democratic* WashPo: “It's Regressive!”* The Redbox Test* Student Debt is immoral * Moynihan in an elevator w/ Harry Styles* Oh, my god, they fired Brian (You bastards!)* The Jim Jones of Journalism* NBC “News”* The Many Papers of Donald Trump* That NPR Voice* Ben Shapiro Goes to a Conference (Hilarity Ensues) This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit wethefifth.substack.com/subscribe

Open Threads
The role of music in our lives with Ben Orenstein

Open Threads

Play Episode Listen Later Jul 25, 2022 15:52


“There are basically two things in my life that have held my interest for longer than anything else. One is music, and the other is programming. And I think they're actually kind of the same in an important way. And the thing that makes them the same is what I think keeps me interested in them, which is that they are both rigorously analytical and creative at the same time.” - Ben OrensteinWatch this episode on YouTubeBen Orenstein:Ben's Company, TupleBen on Twitter: @r00kBrian Casel:Brian's company, ZipMessageBrian on Twitter: @casjamThanks to ZipMessageZipMessage (today's sponsor) is the video messaging tool that replaces live calls with asynchronous conversations.  Use it free or tune into the episode for an exclusive coupon for Open Threads listeners.Quotes from this episode:Quote 1:Ben: He raised my mom and her sisters and like a household, there was a lot of singing, singing. It was a big part of them. And also they are there's a big chunk of my mom's family as Welsh and Wales have like a big singing culture to it as well. Hmm. So the end result was I grew up in a household where singing was just a common thing.Brian: Um, so the family is just like breaking out in song.Ben: Just kind of. Yeah, like we were just, yeah, my mom would sing stuff. She would sing songs to me. We would sing songs together. Like, we would sing a cappella Christmas carols at Christmas School. Um, there's like a lot of, a lot of singing going around. Um, and when I was pretty, I was probably like eight maybe. Maybe even younger.Brian: Um, my parents put me on piano lessons, so I was like, getting exposed to piano from a pretty early age, and I studied for that for maybe four or five years.Brian: You know, my mom forced me to, to start with piano lessons, and I, I was, I sort of had a good feel for it, but I also hated going to lessons, and I, and I wasn't really into learning classical stuff, but, like, looking back on it, like, as a foundational instrument, I feel like you can't do better than piano because you're like, literally looking at music theory, like on the keyboard, you know?Ben: Yeah.Brian: And now with my, my daughter is eight years old and she's getting into a piano, and like, I'm teaching her a thing or two on guitar, too, but like it, a lot of that doesn't make sense until you get a feel for a piano. I feel like, you know.Ben: Yeah.Brian: It's a great start.Ben: It's so yeah, it has, like, a nice visual element to it where it's like, you can kind of see the intervals in front of you, and they get wider and smaller and. Yeah, I still sort of thing, like, I think even when I'm a sight reading vocal stuff, I think I'm still kind of translating it to a piano in my head.Brian: Yeah, for sure.Quote 2:Brian: And you know, it's such a weird thing with music, how it runs in the family. Ben: Mm-hmm.  Brian: I mean, it's and it's so crazy, like, literally see it. I mean, my grandfather, you know, was he directed an orchestra, you know, and then and then my... mom and other grandfather played piano a little bit. I had a pretty natural feel for it from the beginning with both piano and guitar.Brian: And then now with my daughter. And she's only learning the very basics of, of like in terms of, like, lessons, but she's in there making up her own songs and just has such a natural ear and feel for it. Like, you could just see it from day one. And it's just incredible to see, you know, it's like literally in the genes, you know, I just like something about it.Ben: Go back and I go back and forth between how much of that is like inherent versus your exposure. Like, if you do think there's a lot to like about growing up in a household where you get piano lessons at a single-digit age. Yeah. And then lo and behold, you're 15. You're like, oh yeah, I have a knack for music.Ben: It's like, well, you know, you invested hundreds of hours before you're even a teenager. Like, I know there is no certainly is. You know, there's some of it, right? Like something if there's a natural ability on there, too.Brian: For sure. And I think the lessons and practicing go along. I also think that just listening like being exposed to hearing lots and lots of music on a daily basis, is yeah, is a huge, huge one. You know.Quote 3:Brian:With my work, I'm always thinking about the future or whatever it might be or worrying about this or that. With that, it's like, I mean, I'm in a zone and I've tuned out and I'm just playing. And just the sheer number of hours of being in that state makes you a better player, you know?Ben:Mhm. Yeah. I think it's, I think to do music well you have to be in the moment. So it is kind of meditative like that or like it has an effect on your brain. Like unless you'd, I'm just like hopelessly distracted by something really significant. If I am performing and singing or something like I am paying attention to what's going on because you have to keep paying attention to what's happening.To do it well at all. I think there's, so there are a few things that I get out of music. What is it that I really enjoy? I enjoy performing. I enjoy putting on a performance. Like, to me, being on stage is really gratifying. Making something impressive or interesting or moving to happen on a stage I find just, like, really enjoyable. I like giving the audience a cool experience that feels really fun to me. I like being proud of the thing I put out there. Um, but there's also this other thing that I've been kind of on for a while. Um, I noticed that there are basically two things in my life that have held my interest for longer than anything else.One is music and the other is programming. Yeah. And I think they're actually kind of the same in an important way. And the thing that makes them the same is that what I think keeps them keeps me interested in them, which is that they are both uh, rigorously analytical and creative at the same time. Brian: Yeah.100%.

The Mindful Midlife Crisis
Episode 63--Escape the 9-5 Grind with Brian Gallagher (aka The Simple Man Guide)

The Mindful Midlife Crisis

Play Episode Listen Later Jun 15, 2022 57:59


This week, we talk to Brian Gallagher.  Brian is a former Corporate American turned Global Citizen. After a career in finance, several years as a fitness studio owner, and giving away 99% of my belongings, Brian left the traditional path to see the world and live life on his own terms. Brian created Simple Man Guide, a personal brand dedicated to helping others leave the corporate world behind, simplify their lives, and regain power over their most precious asset - time. Brian is currently living with his girlfriend in Amsterdam, and he is working on his 1:1 coaching program, Take The Leap, which helps others fund their corporate escape, ditch their 9-5 grind, monetize their favorite skills, and live their dream life.We ask Brian:--You left the 9-5 grind a few years ago.  Walk us through that. --When you look back on the 9-5 grind and when you talk about that with your clients, what are a few things that come up as far as things they'd like to never do again?  --What's the danger in, “Well, I'm unhappy at my job HERE, so I'll just get another job doing the same thing somewhere else”? --How has the increased demand for working remotely shifted the way you work with clients?  Do you think working remotely frees some people up from the 9-5 grind, or is your goal more to liberate people from Corporate America?  Like, what do you have against Corporate America?! --One thing you continually stress, which I think is extremely responsible of you, is that if someone wants to escape the 9-5 grind, they need to sit down and REALLY take a look at what they're financially responsible for before just saying, “Fuck it! I'm out!”  What does that process/conversation look like with you? --So you and I are very similar in that neither of us have ever been married or have children.  As someone who struggles with impostor syndrome, I'm wondering how often “You just don't get it…I have a family” comes up in a conversation.--What are some other self-limiting beliefs you hear from your clients and how do you navigate those beliefs with them?--What's the best part about what you do?  Where to next?  Thank you for listening to the Mindful Midlife Crisis!Questions? Comments? Suggestions? Topics you want us to cover?Email:  mindfulmidlifecrisis@gmail.comInstagram:  @mindful_midlife_crisisTwitter:  @mindfulmidlife"Like" and "Follow" us on Facebook: The Mindful Midlife Crisis PodcastPlease leave us a 5-Star Review!  Doing so helps other people looking for a podcast like ours find it!Support the show

Our Lady Of Lourdes Podcast
4th Sunday of Lent | Our Story | 3.27.2022 | Fr. Brian Larkin

Our Lady Of Lourdes Podcast

Play Episode Listen Later Mar 29, 2022 22:19


The Prodigal Son: Jn 9:1-41 https://bible.usccb.org/bible/reading... Homily 1: Basic Message of Reconciliation “The Good News that you have a place at the Father's table. If you don't know that, this is the good news of Christianity.” —Fr. Brian Larkin Origen's 2nd commentary of Leviticus 2: “Even to the end of the world, the day of reconciliation is today.” https://www.google.com/books/edition/... The story of all christians is a story of slaves and sons. Today is the day of reconciliation. Today, you belong in the Father's house.”—Fr. Brian Larkin Homily 2: “God has entrusted to us the ministry of reconciliation.” —Fr. Brian Larkin 2 Corinthians 5: https://bible.usccb.org/bible/2corint... Pliny the Younger: The story of the slave who has become a freed manhttps://bible.usccb.org/bible/philemon/0 Today's Sponsor: N.T. Wright: Paul (Book) https://www.audible.com/pd/Paul-Audio... Onesimus=Useful (Latin name) “I, Paul, an ambassador, and now a prisoner for Christ Jesus, I appeal to you for my child, Onesimus, whose father I have become in my imprisonment. Formerly, he was useless to you. But now, he is indeed useful to you and to me. I am sending him back to you—sending my very heart.“ Luke 15: When the son turns back, he takes a risk https://bible.usccb.org/bible/luke/15 Josh Garrells' song, “At the Table: “There will always be a place for you at my table.” https://open.spotify.com/track/0CuihK... “The good news of Jesus Christ is a Father is seeking after you.” —Fr. Brian “You don't have to have your act together. The prodigal son returns to the father's house in tatters.” —Fr. Brian Larkin “In the father's house, the father tells them put the best robe on him. The best robe in the house is the father's, and he puts it on his son. This is the good news.”—Fr. Brian 2 Cor. 5: 17: “If anyone is in Christ, he is a new creation. The old has passed away. Behold, the new has come.” https://bible.usccb.org/bible/2corint... “Christianity is not about forgiveness; it's about divine adoption.” —Fr. Brian “The Mission of the Catholic Church is a ministry of reconciliation.”—Fr. Brian “The most joyful part of being a priest is watching slaves come home. That's our mission.”—Fr. Brian 2 Cor. 5:20 “We are ambassadors for Christ. Got making his appeal through us.”—Fr. BrIan https://bible.usccb.org/bible/2corint... “I believe in a life of selflessness, and I am selfish. I believe in a life of forgiving others, and I hold grudges. I am someone who believes in humility and chastity, and all these different things, and I have broken every rule that God has given me. And He has made me an ambassador of reconciliation.” —Fr. Brian Larkin “You and I don't glory in our sins, but we reveal that you and I were slaves who became sons and daughters, that's when people come home.” —Fr. Brian Larkin

Our Lady Of Lourdes Podcast
2nd Sunday of Lent | Beyond The Blue | 3.13.2022 | Fr. Brian Larkin

Our Lady Of Lourdes Podcast

Play Episode Listen Later Mar 21, 2022 24:00


Homily #1: Transfiguration is at the top of the list for the richness of text. Homework for the week: Feast of Booths—A Jewish Feast https://www.jewishvoice.org/read/blog/sukkot-feast-booths-known-some-feast-tabernacles Homily #2 Christian Hope Luke 9: Worthy of prayer https://bible.usccb.org/bible/readings/031322.cfm “I was wrestling with loneliness and hardship, and I looked out into the ocean. I was listening to ‘Beyond the Blue,' and he says, ‘“I'll let go of all I could not hold onto For the hope I have in you'” “…the hope beyond the blue.” “Beyond the Blue” lyrics by Josh Garrels: https://www.google.com/search?q=beyond+the+blue+josh+garrels+lyrics&sxsrf=APq-WBvslVMKwnrpzj6303rbGmOA3IAsMw%3A1647192765315&ei=vSouYv3pEuT99APisL3YAg&oq=beyond+the+blue+josh+g&gs_lcp=Cgdnd3Mtd2l6EAMYADIFCAAQgAQyBQguEIAEMgUIABCABDoHCAAQRxCwAzoHCAAQsAMQQzoHCC4QsAMQQzoPCC4Q1AIQyAMQsAMQQxgBOgwILhDIAxCwAxBDGAE6BAgAEEM6CAguEIAEENQCOgcILhDUAhBDOgQILhBDOgYIABAWEB5KBAhBGABKBAhGGAFQ5QVYmRVgjBxoAXABeACAAVGIAeQDkgEBN5gBAKABAcgBEsABAdoBBggBEAEYCA&sclient=gws-wiz “God has a hope for you beyond the horizon. He has a hope for you that is beyond all the things you hope for. But, to get there, you have to let go of the things you hold onto in this world.” ...”This is what the Transfiguration is all about.” —Fr. Brian “Christianity is the story of men and women who encountered a beauty so great, that their hearts came alive. And that beauty makes us incapable of giving our hearts to the world.”—Fr. Brian “Whatever may happen in your life…whatever good may come… you will still desire something beyond that horizon. God made your heart for the transcendent.” —Fr. Brian “You have made us for yourself, O Lord, and our hearts are restless until they rest in you.”—St. Augustine St. Gregory of Nyssa: “Once the soul striving for the heights has begun to share in so far as it can in the divine benefits, then once more the Word draws it as though it were still at the start of its ascent. Once again he says, ‘Arise' to the one who has already risen, and ‘come' to one who has already come.” —St. Gregory of Nisseh: “When God calls you, He says, ‘Arise. Come deeper. Expand your desire.'”—FB “In truth, to rise at all, one must rise forever. And for those who run towards the Lord, there will always be a greater distance to cover. The Word demands that one constantly arise and never cease to run forward, and every time, He gives the grace of a greater advance.”—St. Gregory of Nisseh “Do you know what heaven is? Heaven is the perfect union of fulfillment and ever greater desire for God.”—Fr. Brian “If you want to be good at Lent, be there on the Mount of Transfiguration. You saw the glory of God. You know what that means? That means you can go to the cross.” —Fr. Brian “If your heart has seen the glory of God, you can do anything.” “Our citizenship is in heaven, and from it, we await a savior. Lent is about getting in touch with that desire.”—Fr. Brian Larkin Philippians 3:17–4:1: https://bible.usccb.org/bible/philippians/3?17 “At the heart of Christianity is beauty.” “Glory is the divine beauty that's beyond this world.”—FB “The shoulder-shrugging functionalism of post-war architecture coupled with the passivity born of decades of television has meant that for many people, the world appears to offer little but bleak urban landscapes on the one hand, and tawdry entertainment on the other. When people cease to be surrounded by beauty, they cease to hope.” —N.T. Wright https://www.goodreads.com/book/show/2319645.Surprised_by_Hope “The only thing that can conquer the temptations of this world and the struggles and the difficulty, is a more beautiful hope. That is the only thing that will make you a real Christian.”—Fr. Brian “What will make you ‘better at Lent' is a hope that's greater.”—Fr. Brian

Our Lady Of Lourdes Podcast
6th Sunday of Ord. Time | To Taste Is Wisdom | 2.13.2022 | Fr. Brian

Our Lady Of Lourdes Podcast

Play Episode Listen Later Feb 17, 2022 22:50


To Taste Is Wisdom Sapore—Latin for “to taste”— An axiom or phrase that existed in the early Church said, “A man is truly wise when all things taste to him as they truly are.” Jeremiah 17—https://bible.usccb.org/bible/jeremiah/17 reflects Psalm 1—https://bible.usccb.org/bible/psalms/1 “To understand the entire book of Psalms, you have to look at it through the lens of Psalm 1.”—Fr. Brian Psalm 1 talks about a tree planted by streams of water. Only the people of the Holy Land truly understand the meaning of this. Most of this place is desert, and yearns for the rain. “All of today's readings are about God's blessings in your life. The tree in Psalm 1 is not just any tree—it's about the Tree of Life, and what God wants today is to make you like the Tree of Life.” —Fr. Brian “It does not fear when heat comes, for its leaves remain green, and it is not anxious in the season of doubt, for it does not cease to bear fruit.”—Psalm 1:3 “God wants to plant us by that stream of living water in the Garden of Eden, and when there's hard times—right?—in your life, there's bound to come years of drought. There's bound to come heat; there are bound to be trying times. But, if you learn to love the things of God, you will have no fear of the heat or of drought, for your roots will go right down to those streams.” “How do we do that? Psalm 1 tells us. ‘Blessed is the man who does not walk in the counsel of the wicked, nor stand in the way of sinners, nor sit in the company with scoffers. Rather, the law of the Lord is his joy; and on his law he meditates day and night. He is like a tree planted near streams of water, that yields its fruit in season; Its leaves never wither; whatever he does prospers.'” Jewish tradition called the "Honey Ceremony" was used to illustrate the sweetness of learning. Rabbi would let the young scholar lick honey off the Torah to help the student associate learning with sweetness. “Everyone believes something, Everyone hopes for something, And everyone loves someone.…But what makes us different as Christians is the object of our faith, our hope, and our love.” —St. Augustine (paraphrased) “Being a Christian does not just mean following the rules; being a Christian means, Jesus, I delight in You. My heart doesn't just want to fight what's bad. Lord, my heart yearns for You. Jesus, I have acquired the taste for those things that are truly good and truly beautiful.”—Fr. Brian Sponsors: Dr. Tim Gray, book on Prayer, called Praying Scripture for a Change…talks about Psalm 1 and Jeremiah 17: “The just man delights in the law of the Lord, and on His law, he meditates day and night.” Hagah—Hebrew word for “meditate” to reflect upon and quite often to vocalize one's ruminations. Simple challenge of the Word of God for us, today: Where does your heart find delight? “Christianity comes with developing a certain taste.”—Fr. Brian Larkin “What you delight in should tell you a whole lot about what kind of person you are.”—Fr. Brian Larkin The way temptation works in your life: It Walks… This is when the whispers of sin start. It Stands… This is when the dialogue of sin starts. It Sits…. This is when you decide to remain in the way of wickedness. Be hungry. Long for the things of God. —Fr. Brian “You've got to delight in God's word. And you can't do that if you don't have space for it in your life.” —Fr. Brian “God's law is not meant to be something that is just hard on us; God's Law is meant to fill us with joy, contentment and happiness. But to do it, you have to say “no” to the things out there—you have to delight in God's Word. Brothers and sisters, turn away from those things. Don't walk in that counsel of the wicked, but let God plant you right beside those living waters. And to be able to do that, you have to listen to Him. So, Jesus, make all things taste to us as they really are.”

Success Fundamentals
Get Comfortable Being Uncomfortable with Kris & Brian

Success Fundamentals

Play Episode Listen Later Jan 5, 2022 58:57


In this episode, Kris Sykes and Brian Goldsack try to unpack the popular adage, “You have to get comfortable with being uncomfortable.” Kris and Brian talk about hustle culture and the sacrifices that people make in the name of success. The pair also shares some things that they do on a daily basis to manage the level of stress and discomfort that they experience. Kris and Brian emphasize that the idea of success is relative, and you need to set your own boundaries. Everybody has their own set of values and priorities that are non-negotiable. The idea is that they should be set clearly. HIGHLIGHTSThe journey to greatness is bound to be uncomfortableDon't say yes to everythingWork on your time management skillsSet a clear boundary between work and rest The problem with modern hustle cultureProtect the thing that allows you to do what you do dailyIf you want to achieve greatness, sacrifices have to be madeQUOTESKris: "I think Warren Buffet says this all the time. It's all about focus. Not saying that you can have multiple, but you have to understand which ones you want to focus on and then be okay with being uncomfortable with that journey because that journey is going to be uncomfortable, especially if you're trying to go towards the vision of greatness."Kris: “Remember, it's not about the wall, it's about the brick. Lay that brick. It doesn't have to be 10,000 things on that day. It could be one thing in that day.”Kris: "We all know that tomorrow is not promised. But I think I'm okay now without checking emails or doing this for a few hours because if you're in this perpetual state of hustling all the time, your body's going to be exhausted. And your body's going to tell you in a not so pleasant way, that you need to sit down and rest."Kris: "Most people already know what to do. They just don't do it. Right. Because it's uncomfortable."Brian: "You might say that you want something, but if you're not taking the necessary steps to achieve it, do you actually desire that?" Brian: "Sometimes you can have habits that are so bad and so ingrained, and you might go out of your way to try to change those things, but sometimes your habits are so ingrained and such a part of your life that you are like a log that's being thrown into a fire. But if the log is really, really, really big, sometimes it's very difficult for that log to catch. So the only way that you can get that log to catch is by splitting the log spiritually."Kris: "The chains of habit are too light to be felt until they're too heavy to be broken."Follow Success Fundamentals on the following links below: YouTube: https://www.youtube.com/channel/UC4XCvuwxnFi5_7C6Ncm12xQLinkedIn: https://www.linkedin.com/company/success-fundamentals™Facebook: https://www.facebook.com/successfundamentalspodcastInstagram: https://instagram.com/successfundamentalspodcast

Gospel Tangents Podcast
Reviewing Polygamy Criticisms (Part 1 of 6 Brian Hales)

Gospel Tangents Podcast

Play Episode Listen Later Oct 14, 2021 11:10


I'm excited to have Dr. Brian Hales back on the show. It was 8 years ago that Brian Hales published his 3-volume set on Joseph Smith's Polygamy. How has that held up? How does Brian address critics of his work? Brian: You know, there's always critics. But, recently, my friend Larry Foster, and others have […] The post Reviewing Polygamy Criticisms (Part 1 of 6 Brian Hales) appeared first on Gospel Tangents.

The Joe Costello Show
Results Coaching Model with Brian Lovegrove

The Joe Costello Show

Play Episode Listen Later Aug 12, 2021 75:03


Results Coaching Model with Brian Lovegrove Brian Lovegrove has been on his journey of personal growth and professional development since the age of 17. Inspired by Tony Robbins, he has created not only a catalyst but a unique approach and process to helping others, like you, achieve their goals. He believes in providing & building upon the knowledge most coaches provide by practicing these lessons and building a HABIT! Using his "5 Keys of Success" in his coaching, he is a firm believer that if these keys are used, failure is all but eliminated. In this episode, we learn about all the tactics Brian uses and has honed over the years of being a coach and we did into a few of these methods during our conversation. As always, thanks so much for listening! Joe Brian Lovegrove Leadership Developer and Results Coach Website: https://brianlovegrovecoaching.com Facebook: https://www.facebook.com/brianslovegrove LinkedIn: https://www.linkedin.com/in/brianlovegrove/ Live Masterclass: https://www.becomeunstoppable.info 5 Keys to Success Podcast: https://5-keys-of-success.simplecast.com/ Unleash Your Fear eBook: https://www.unleashyourfear.com/freebook Email: lovegrove@lovegroveltd.com Podcast Music By: Andy Galore, Album: "Out and About", Song: "Chicken & Scotch" 2014 Andy's Links: http://andygalore.com/ https://www.facebook.com/andygalorebass If you enjoy the podcast, would you please consider leaving a short review on Apple Podcasts/iTunes? It takes less than 60 seconds, and it really makes a difference in helping to convince hard-to-get guests. For show notes and past guests, please visit: https://joecostelloglobal.libsyn.com Subscribe, Rate & Review: I would love if you could subscribe to the podcast and leave an honest rating & review. This will encourage other people to listen and allow us to grow as a community. The bigger we get as a community, the bigger the impact we can have on the world. Sign up for Joe's email newsletter at: https://joecostelloglobal.com/#signup For transcripts of episodes, go to: https://joecostelloglobal.lybsyn.com Follow Joe: https://linktr.ee/joecostello Transcript Joe: Hi Brian, welcome to the podcast. I'm looking forward to having you on so many things I have to ask you, because you hit a core thing here with training, personal development courses, all of these things that I read about. And it's going to be interesting to find out your answers to these burning questions I asked. Brian: All right, Joe, I'm looking forward to it. Let's get rocking and rolling here. Joe: Awesome. OK, so you have to bear with me, because I literally do this with every single person on my podcast, is that I think it's important for my audience, who I believe is mostly entrepreneurs, whether they're currently doing their thing or they want to do their thing or they're struggling, doing their thing or whatever it might be. I think it's important for them to know the back story of the person that is on, because it's important to understand the development of where you came from and how you got to where you are today. And I think a lot of those things that you talk about actually people listening, going, oh, yeah, I've been there. I did that. I remember that. So I always leave this open to saying you can go back as far as you want, because if something in elementary school created who you are today, I want the audience to know about it so you can start wherever you want. Brian: Well, people ask me how I got introduced to personal development in the first place, and I actually go back to junior high. My dad was a commercial real estate broker and I grew up in Montana. And any time we would leave town, we would go on a long trip. And so he would pull out these tapes from work. And this was, of course, back before the iPods. The noise canceling headphones in that great, wonderful device that many of us grew up with, the Sony Walkman, Joe: Near Brian: Whatever Joe: And dear to my Brian: He Joe: Heart. Brian: Put into that. Yes. Yes. And so I got stuck listening to whatever was in the tape deck. And so I got introduced to guys like Earl Nightingale, Jim Roan and my favorite Zig Ziglar. And listening to those guys, Dennis Wailea, on and on and on and on, they taught me what it was to be an entrepreneur. And I remember Ziggs saying, treat every job as if you were the owner of the business and those HAQQ series that I listened to through junior high and high school shaped me in my choices in college. I actually got a degree in professional sales because of a I was originally going for a management degree my first year. My sister was two years ahead of me and she told me after my freshman year and says, you know what, Brian, you might want to consider changing majors because the people that I know that are graduating with management degrees are struggling to find jobs. And I went back and that that prompted me to ask a really good deep question at all. I don't know, 18. I asked myself, what career, what major, what level of information do I need to get while you're at college that would regardless of what happens to the industry, because I knew, you know, it's going to be out here in the marketplace for over 50 years. What degree do I need to go get that will? Regardless of what's going to happen, the ups and downs of the industry, whether we end up in another recession, we end up in another depression, that I would always have an opportunity to have a job if I wanted one. Brian: And that always brought me back to the sales aspect that Zig always mentioned, because, again, he did a lot of his sales around the Depression area and that that aspect of life where it's like how do you survive? How do you keep going in those areas? And it's really the salespeople that make the world go round. And so that's what led me to a sales degree. The other decision that I made when I was 17 was I got introduced to a guy named Tony Robbins and I bought his first tape series. Imagine a freshman in college spending probably a month of his earnings on a tape series. And I bought Tony's unlimited power. I still have the tapes are used today, actually gone and bought a second set because I wore out one of those tapes so that because I listened to it so much and I followed Tony ever since, I actually helped promote and put on his seminars for one of his franchises. And along the way, I've always been doing personal development, personal growth, and, you know, a lot I loved it. I just ate it up. But one of the big challenges that I ran into, I turned 40. Brian: It was like, why am I not far enough along? I've been doing this for 20 years. Why am I just here? Because at the time I was struggling to pay the bills. I was struggling to get by. My wife was working. We had two small kids. And I thought by the time I turned 40, I would have been much farther along by now. And so in this process, I realized it wasn't until much later that learning is not enough to make lasting change. I was actively learning. I was seeking the puzzle pieces, the pieces of information that was missing in my life. And I figured once I learned that then life would be easy and I'd be making all this money. But that never happened because I never did. The one thing that I learned all the way back in the beginning from XG is you have to do it until you get good enough at it, till it becomes your new normal. And only then, once you've applied and implement those strategies in your life, will they actually work for you. And you've got to do it long enough to get good enough at it and then continue to stick with it to where you can actually allow the compounding effect to, you know, you slowly creep and then you kind of turn that corner and it goes straight up. And it took me 50 years to hit that. Joe: So I'm going to go back real quick because I want to know what triggered you to buy that Tony Robbins course. You know, I know you were listening to this stuff in the car with your father on the Walkman or whatever else you were doing it. I mean, a kid at 17 doesn't do that. So what triggered it? Brian: Well, I had read the book, his book had come out and I had read the book and I really loved he had such a different style and he was talking about different things and he was talking about the things in the mind and he was talking about he and the different aspects there. And a lot of that was like, oh, my gosh, this stuff makes so much sense. And I was applying some of those strategies and I was seeing specific results. And I was like, and that's really what made me buy in. In fact, that's probably one of the few programs that I really started implementing strategy on. One of the big strategies you talked about was marketing Meeri, and it was one that I specifically used as I got into my initial first jobs and sales career. But I used on a consistent basis to help me actually get as far as long as I did. Joe: Ok, I'm still going to ask the question, because I'm not sure if you answered it yet. Why would a 17 year old buy the book like 17 year olds don't don't get into this stuff. So and I think it's important to figure out what triggered it for you. Brian: Well, again, I think it has to do with that was the next step, I the company that was putting those out was Nightingale Conant Joe: Yeah. Brian: And my dad would get those and I probably was home. I don't remember where I was when I got it. I might have gone home for Thanksgiving or Christmas. And I grabbed the magazine I love looking at because again, I've been doing this for a number of years now. And I was like, what? What's the new stuff they got? You know, Wayne Dyer was there and you know, you know who who are who's the new people? And there was this new one from this guy named Tony Robbins. And I don't know, I guess it just resonated with me. And I think it was seventy five bucks. And it was like and to be honest with you, I really can't say what prompted me to go. I want that. Joe: Mm hmm. Brian: But I think it was more of the sales pitch in the description of what it promised me. Joe: Got it. Brian: More than anything, that's what I would say it was based upon the results that were promised, based upon the description of the tape series. Joe: Ok, so you've been around that sort of thing for a long time, right? And if correct me if I'm wrong at any point, because I want to make sure this is super clear to the listeners, is that from what I get of what we're going to go still back, I still have other stuff to do, but I want to kind of set the stage of your expertise or what you believe is, is how you can help people. As you said, you can buy all the courses and attend all the conferences and do all of this stuff. You've said it here. You set it on your website. The enthusiasm kind of goes away when life gets in the way. Right. It's basically that simple. You come back from the high of of being at a conference or are listening to something and then life literally just gets in the way and you don't get the things done that you promised yourself that you would. So my understanding is that you are basically this coach that is going to keep you on track. Whether life gets in the way or not, you're basically going to be this person that is going to bring people along through all of this and keep them accountable to what they promise themselves that they would do and make sure that they do all of the things that are needed without shelving anything because life got in the way. Is that fair? Brian: Right, it is because, again, you know, Tony is great if you've ever been to one of his big events, you P.W. he he can talk nine thousand people into walking across twelve hundred degree recalls in a day. Joe: Yeah. Brian: By the end of day one, he's got you walking across Coles. But again, how do you can't maintain that energy and that excitement and the momentum of that event for weeks, months, years to get to where you want to go? And Tony has admitted that this is an area that he struggles with, is how do I get people to keep going? Joe: Mm hmm. Brian: Which is one of the reasons why he has his coaching program that you can go and pay tens of thousands of dollars to get a coach for a year, and it's one of the reasons why he actually created the pyramids, Madonna's training group, to train people like me to be coaches that help people implement his strategies. And that's really what it comes down to, is how do you take the strategies that, you know, you need to be doing and implement them? One of the biggest challenges in society today is we don't teach people discipline for the most part. There's a few places that that happens. But outside of that, it's not encouraged. In fact, it's almost especially in today's society, you're not responsible, you know, being responsible for yourself, being accountable. That goes out the window. And yet that's how you are going to be successful. That's how you're going to get to where you want to go. Unfortunately, society is teaching people to be cheap and to live in mediocrity. That is not how you're going to get to where you want to go, because I'm assuming that most people here are entrepreneurs. Joe: Mm Brian: They're Joe: Hmm. Brian: Entrepreneurs for a reason because they are sick and tired of working for somebody else's dreams. And so they want to pursue their own dreams or they think they can do it better. And so they're out there trying to do it on their own. But there's a myth that goes with that is the fact that they have to do it on their own, they have to try to figure it out all by themselves. And some of my best clients are the people that have gone to school to learn how to do what they want to do, a chiropractor or a massage therapist, the tradesperson, they know how to either pound nails Turner Ranch, adjust somebody's back, but they don't necessarily know how to do this thing called run a business. And so there's certain aspects that come into play because my my ideal market is that small business owner, entrepreneur and professional who's out there wanting to make a difference in their world, in their communities and their lives to make a bigger impact. But they're struggling to do that because they're trying to deal with all of the distractions and all the stuff that's coming at us. And it's like, how do I get a hold of that? How do I how do I focus on those things that truly matter that are going to move the needle for me and my business? And that's really where I come alongside them. Brian: And I say that specifically because I can't take the journey for you, but I'm happy to take the journey with you. And see, that's where the big challenge is, is a lot of people feel like they go to the seminar, which is, OK, here's how you go climb a mountain. Here's the equipment you're going to need and what happens to the trainer. They get all loaded up. They load them up and they say, go have fun. And they go walking down the path. And the river that they were told was a small creek is now this raging river, the bridge that they were supposed to be able to go across was washed out. And it's not like, what the heck am I supposed to do now? They weren't prepared for what they're going to experience or they didn't get enough information. That's one of the things that I always felt in the training classes and seminars I went to. I always felt like there was a piece of information missing. And there's only so much that somebody can teach you. You actually have to go experience it for yourself in order to develop those nuances that are really going to make a difference for you. Joe: Yeah, and I think that there are very, very, very few people in the world that can and you hit it on the head, the discipline that they will actually take, what they've learned, whether it's in a chorus, it's at a seminar or whatever, and actually implement it and be accountable to themselves. I think that's a really, really small pool of people. And so Brian: It is. Joe: Because the Olympics just happened, if we even made an analogy of like you went to class to become a gymnast and you said in a week long seminar to learn all of the different moves and tricks and flips and things, and then you just don't go and show up and start doing that. You have a coach that's watching you Brian: Right. Joe: And and helping you understand all of those things and the mechanics of it. So to me, that's what you're that's really where you help, is that you are there to, like I said earlier, to to to to push them, keep them on track, assist them with when they Brian: The. Joe: Hit roadblocks. You're by their side throughout the whole process. Right. Brian: Right, and I think so many times we have this misunderstanding because we've been taught that learning is going and sitting in class. And that's not necessarily true, but unfortunately, the self development industry has taken this model of let's bring them in, sit them down, overwhelm them with information, make them feel like they're drinking from a firehose so they feel like we've given them a tremendous amount of value and then send them on their way. And so the more people we can pack into that room, the better we make more money that way. Yeah, we actually end up doing a disservice to the customer, to the client, because at the end there is no support. And so how do you make sure somebody has what they need in order to actually achieve the results they want? And that is challenging along the way. And we've created several ways for people to do that because, again, money gets in the way. I mean, if you have enough money, you can find somebody that's going to come alongside and help you get to where you want to go. Joe: Mm hmm. Brian: But we actually started one hundred bucks a month. We've got programs where you can get that at least some help along the way to get you to where you want to go. And we grow from there. But it comes down to this process of how do we get you to take the actions you know you need to take? How do we get you to move forward consistently? And it's just like the example you used is great. The one that I love to use is the example of going to get into shape. You don't go to the gym for three days straight and be done. That doesn't cut Joe: It's. Brian: It. You know, usually you go once for a few hours and you're like, oh my God, you wake Joe: Yeah. Brian: Up the next day and you can't move. And so it's like, why would you expect you to be able to do that in the other areas of your life? Joe: Yeah, I go to the gym five days a week and I still am like, why don't I look better? So you're really in a great position to do this, because how many years did you spend in that whole seminar course kind of world? And I know you're still involved in some of it, but you helped run Brian: Well, Joe: Some Brian: I Joe: Of these. Brian: Yeah, I help promote Joe: Yep. Brian: To put them on the grand scheme of things, I didn't do that a lot. I was probably with them for maybe about a year before the franchise partnership broke up and therefore the franchise collapsed. But it was a great opportunity and I learned a lot going through that process. Back in starting in 2003, I joined Toastmasters and worked myself up over the number of years to become a semi-professional speaker when I wrote my first book and got kind of started in that. But I never really got traction and got that off the ground in this process. One of the things that happened was I shifted from Toastmasters into a leadership role in nonprofit organizations, specifically to the Boy Scouts. But one of the things I saw was because, again, I was focusing on the teaching aspect because I love watching that light bulb go off. But what I didn't realize was because I didn't see it in my life at the moment, at the time yet was that, again, teaching them was good. But coaching them is better because, again, it's about growth and it's part of my all the exercises and things I've done. I mean, I have done it easily. Quarter of a million dollars on personal development. I have bookcases and bookcases of books and tape series that are, you know, this is the pretty self I have, you know, boxes on wooden shelves and storage units full of books and stuff that I've consumed. And it's actually one of my coaching partners mentioned to me and from one of the coaching programs I was in, he says she said, Brian, you have a vault of ideas and strategies to help somebody to move forward. Brian: And so when they need it, you can provide it for them. And so really, it's about getting people to move. It's not about trying to teach you something new. It's about how can I get you to move forward and understanding how to motivate somebody to move. And he talks about the pleasure and pain principles. We move away from pain a lot easier than we do towards pleasure. But many times we only use pleasure as the incentive for us to do something. And a lot of times I'm working with some basic activities with somebody. One of the things that you can see it here in the video, if you're watching it, is my incredible results, 928 Challenge Journal, which is basically spending about 20 minutes each evening documenting what happened today, well, as planning tomorrow. And the first challenge that people come up with is doing it every day. So far, nobody has done ninety one days straight. There's a few that have come close. But on average, it takes people a good month to get into the habit of consistently writing in their journal. And so, again, it's about understanding what it takes to get people to move in the direction they have said they want to go and using those two buttons and pushing them at the right point to get things to to happen. And again, once we start getting that ball rolling and we start developing momentum, that's when it gets fun. Joe: So we are in the age of so many, like self education, know so many programs and classes and courses and all of this stuff on the Internet, right. You can find it everywhere. So and you might even admit to this yourself, because based on what you just said about having a shelf full of tapes and all of this stuff, what would you say to the there are people out there that are professional seminar attendees right there, their professional course. So, Brian: We call them seminar junkies. Joe: Ok, so Brian: Yeah, Joe: We Brian: I've been there. Joe: Ok, so this is good because you're coming from the understanding that Brian: Oh, yeah. Joe: One more seminar, a one more class or one more course is not going to make the difference. It's that you have to start implementing what you've already learned and actually admit to yourself that you haven't done the work or this is the work you need to do and actually come up with a plan. Right. It's just like we hear it a million times. It's just so hard for people to understand, myself included. I'm not I'm not preaching from a soapbox here that, you know, you have to have a roadmap. Right. Because if you wanted to get hop in your car today and drive somewhere, you need to know where you're going. Right. You would get lost. Brian: Yes. Joe: It's no different Brian: Yes. Joe: With our life. Right. So what would you say to those people that are listening to that do continue to just think that that next breakthrough is around the corner by buying yet another course are going to some sort of seminar or conference? Brian: Put down the Kool-Aid because you have drunk the Kool-Aid, Joe: Right. Brian: What they're actually doing is they're pursuing the feeling, the positive feelings they get when they go to the seminar. They're enjoying that high and over time that wears off and they want to change the way they feel. They get frustrated and they go, oh, I want to feel better. Their subconscious then says, OK, well, how do we make ourselves feel? How we do that? Let's go to another seminar. I talk about this in the master class. That is, we get stuck on this learning loop and we go and we learn some information. We get all excited and we go try it and we fail. And usually when we fail once or twice, we quit. It gets hard. It gets uncomfortable. And we don't like to stay there. We don't like we don't we want to don't want to go through that process of learning how to do it and do it long enough to get good enough at it that we actually get to the other side of. OK, I got this. You know, it's like learning to ride a bike. You're going to fall and the only way to get better is to have somebody let go in and you fall down. You got to go through that process. You've got to learn to you have to make the mistakes. You have to, quote, fail, because, again, it depends on how you define the word failure, because at the end of the day, we get to choose what things mean. My definition of failure is different than most people's. My definition of failure is you only fail when you quit or give up. Joe: Hmm, agreed. Brian: Or you don't even try. Joe: Yeah, so it's almost better that if someone had that itch, they should stop for a moment and say, OK, let's do this, let's just try something completely different that we've never done before. Let's actually hire a coach and spend the same amount of money that we would have spent on a course. But we have a coach with us by our side for however many months or a year or whatever, however long that is. That same amount of money could be spread out to have someone keep you accountable and help you to come up with a plan and stay on track and implement all the ideas. Right. Brian: Absolutely. Joe: It would be worth a try for anybody who's one of these. You could Digicom junkies to seminar junkies. Brian: Yeah, the seminar junkies, Joe: Yeah, Brian: Yes. Joe: Right. So it would be a change? Brian: What's Joe: Of course Brian: The Joe: It would Brian: Right Joe: Be. Brian: If what's your outcome? What do you want? Why are you going to that seminar? And there were several times where people said, well, what are you what do you expect from this? What do you want to learn from this? And people are sitting there throwing out answers. And I would be sitting in the background going, I really don't know. I don't I don't have an answer for that. Joe: Mm hmm. Brian: And that was kind of the clue is like, wait a minute, why am I here? Because I want to learn. That's not good enough. I want you to know I started getting specifics is I want to learn how to do such and such and such, and I want to be able to, you know, be successful at doing that. And, you know, whether that was real estate investing or personal development becoming a coach, a lot of those things was, OK, how do you do it? Because, again, we're learning about doing and we learn through doing much more powerfully. There's a difference between head understanding and gut level understanding. And so, first off, a coach, if you haven't had a coach before. I'll share a good story with you, because this is how I got introduced to coaching was I actually bought the up sell of a seminar program that actually included six monthly coaching sessions with one of the coaches that's kind of designed to help you do it. And my experience was I actually got more done in those six months than I had in the previous five years. I did more stuff. I made more progress. And as I went back and analyzed the even deeper, I did more the week before that phone call that I had the previous three weeks combined because I knew I was going to have to get on the phone with him. And again, we're leveraging fear and that pain to our advantage. That's one of the reasons why I wrote my last book on Leisure Fear. One of the strategies that I teach is how to make your friend and how you make sure your friend, as you turn fear around, it's pulling you forward instead of holding you back. Brian: And one of the ways that we do that, as we make it more painful to stay where you are than where you want to go and having to get on the phone call with me or on the Zoom call with me. And we sit in there and says, OK, Joe, you said last week you were going to accomplish these three things. How how far did you get on number one, how far did you get on number two? How far did you get on number three? Now, I don't beat you up if you don't get them done. What I'm doing is I'm wanting to get under neath it and understand the root cause of what's holding you back, because when I when we're able to do that, you see hole that was fear of criticism. That's what prevented me from making those sales calls. I needed to make up for the fear of rejection or whatever it was. And we talk about that. And then we because again, we get to choose what things mean. And so what does it mean to make a cold call? Most people hate cold calls. What if you could turn things around to where you loved cold calls? Because, again, you get to choose what things mean. You can love cold calls. And so, again, it's basically going in there and playing in the mind and shifting away the what the beliefs are, because that's what it comes down to it. That's what our life is all about, is how we feel and what we believe. And when we understand that we do everything in life to change the way we feel. It's really interesting on where things go from there. Joe: Yeah, and I think either I think I read something from your website, I believe, but something you said, I think that's where it was, but it was something about the moment we actually tell the world what it is that we want to do. We're accountable for it. Right then we everyone that that was in earshot of that or reads it somewhere on our website that we're now responsible to do it. And that's why so many people don't actually put that out there, because then they're like, oh, crap, I actually have to do that now. I said it. Brian: Right, Joe: I told Brian: Yeah. Joe: Everyone I was going to do this. Brian: But you're right, it comes down to we are afraid to put ourselves out there Joe: Mm hmm. Brian: Because we're afraid of being criticized now, we do have different types of people in our lives. We have people that I refer to as Krabs, and they're usually in your left hand. For those people who haven't heard the story, I'm sure you have. Is it if you put a crab in a five gallon bucket without a lid on it, it'll crawl out right Joe: Mm hmm. Brian: Easily. But if you put two crabs into that five gallon bucket without a lid, they won't crawl out. The more actually, the more crabs that are in there, the less likelihood that the crab is going to get away, because as that crab, they're programming mental instinct programming that we have within us is that to stay part of the group to follow the herd. Joe: Mm hmm. Brian: And if somebody is trying to climb out, they're going away. And so the rest of the group will pull them back down. And if he continues to do that time and time again, they will actually kill him. Joe: Oh, I didn't know that part of the story. Brian: Yes, well, the same thing is true with other people in our lives. We have people that are on the same level that we are or below us and we're wanting to grow. Now, that doesn't mean that they have negative intentions. They're actually doing it for a positive reason because, one, they don't want you to leave them, but they also don't want to see you get hurt. This is where our family comes in. Parents say, oh, you just sit still, Johnny, because you're not ready for that yet, or they don't want you to go pursue this thing that they perceive as scary, risky, and you're likely to get hurt. And so they're going to try to talk you out of going in, pursuing your great dream. But then there's other people that, again, they're just going to knock you down, they're going to pull you down. And if you've ever listened to Lester Brown, he talks about that and his family, he'd show up for Thanksgiving. And his brother goes, Hey, Les, how's that seminar speaking gig going? And it was almost I'm getting there. I'm getting there. I'm getting there. But we also have people that want to support us and help us. And so it's who are you going to listen to and who are you going to spend time with? And so but it's also important to be in that group of people. Brian: Your support people are in your right hand, your crabs are in your left hand. It's important to know who the person you're across the table with and who you're talking with on the phone. Is this person a crab or is this a supporter and then interact with them appropriately? Because if you're talking with a crab, you stay in the shallow end. You don't talk about your dreams. You talk about the weather, you talk about sports, you talk about whatever that is dull and boring at the time and not really enlightening to us, but allows us to maintain the relationship because there's times in our life when, yes, we can eliminate some of those crabs because other times they're related to us and we can't get rid of them. And so what do you do? So in part of it is, one, you reduce the amount of time, and then two, you understand who you're having the conversation with and understand they're coming to you with a positive intent. They're trying to keep you safe. They're trying to they want you to be happy and they want you to stay well and they don't want you to get hurt. But the same thing is true with our subconscious, which is why our biggest enemy is right up here Joe: Yep. Brian: Is the robot that runs the show 80 to 90 percent of the time. And that's where I spend a lot of time, is helping people reprogram the robot, their subconscious, because unfortunately, it was a program with a lot of crappy code and trying to reprogram it is not as easy as copy, delete and then copy and paste. It's not that easy. It's like the biggest, ugliest ball of spaghetti you've ever seen and trying to figure out where that thing goes. And it's a mess. It's just a mess in there. And but we do have the ability to go in there and change it. And the more we actively pursue that and focus on that and pursue growth, the faster we can get to where we want to go. Joe: So we're going to talk about the services you offer, but you touched upon something that in a previous episode that I had put out, I got a lot of comments about it. And so I want to talk about it as it relates to you personally. And then we can talk about how you use it with your clients. But you spoke about journaling. And the more and more I hear, either I have guest on or I hear people talk about it, the more and more I feel like it's almost got the same benefits as when people talk about meditating, how you can quiet the mind. It was all this fufu stuff many years ago and now it's becoming more the norm. Right? It's something that you need that quiet time. So tell me more about what you think journaling does for people and the importance of journaling Brian: Ok, well, Joe: And Brian: Actually. Joe: Whether or not you actually do it nightly or daily or I'd be Brian: Yes, Joe: Interested to know. Brian: Yes, the the if you can see it there, it says, a life worth living as a life worth recording. And so, Tony, he's inspired me to consistently journal. I have journals from my first in fact, in my latest move, I was going through a lot of them. And I came across the journal that I had right after college. And I was actually really interested to go back and see the progress of my first sales job that I bombed out. I lasted like three months. My experience was the story I was telling myself was different than the story that I was reading. And so, one, it's a great way to document your journey in life. But the way that I teach people to journal No. One is it leverages the power of evaluated experience because you stop and think about it. You probably have heard that experience is the best teacher. Yes and no, because unless we learn the lessons from that experience, then it was pointless. If we keep repeating the same mistakes over and over again, we keep doing the same thing and expect different results. We're not learning. We're not growing. And so journaling is a great way for you to document your journey, but also to stop and evaluate what happened today. What did I get done? Because many times we get to the end of the week, we get to the end of the month. Man, I feel like I didn't get anything done. And you can go back to the daily journal process and go, oh, yeah, well, I did that and I did that and I did that and I did that. Brian: But it also allows you to say, OK, what am I actually getting done? And is what I'm getting done, moving me in the direction I want to go? Because, again, we've talked about the journey that we're on. We have a goal we want to achieve. And in order to get there, we like you said, we have to have a plan. Many people don't put together the plan. In fact, many go study programs. And I listen to rarely was there any planning process involved. And so I actually stepped somebody through this. Exactly. And the incredible results on what they challenge is Ugo's. We set our big yearly goal and we break that down into what are we going to accomplish in the next ninety one days and then we break that down. This is OK. What's going to be month one? What's going to be month two? What's going to be month three? And then we break that down. OK, what's going to be week one of month one. What's going to be in week two. Week three, week four. Because again, the only way to get to complete the ninety one day journey is to each day make forward progress. And how do you make sure you're making forward progress if you never look at the map and compare your results, what you're getting to see if you're moving in the right direction. Brian: It's like a airplane taking off from New York to L.A. without a GPS system, without a method for them to course. Correct. You know, there's a reason why there's a compass in the airplane. There's a reason why there's a GPS in there that's consistently every moment checking in and saying, am I on track? Am I on track and making those little minor adjustments along the way? Because if you actually look at a slight wiggle from L.A. to New York, because there's turbulence up there, there's wind currents up there, lots of different things depending on which way you're flying. Are you flying with the jet stream or against the jet stream? All of these things are impacting that flight. The same thing is true in our life. How do we make sure we are on target? And journalese is one of the ways to do that. But we also encourage people. The way that the journal is set up is to do that evaluation experience where you document what you got done, you documents your lessons along the way, and you also document the changes that you want to make, the adjustments that are going to make tomorrow a better day. How can I be better tomorrow? And then you plan tomorrow. One of the biggest challenges we have is making sure we get the right stuff done. How do you make sure you make time to get those important but not urgent activities into your schedule? Because if you do not intentionally plan them and schedule them into your calendar, rarely, very rarely are they going to actually happen, which means you're never going to really make the progress you want to make, because stop and think about it, your goals require a lot of time and energy doing those things that are important but not urgent, which is another reason why having the accountability is a big factor in that. Brian: It's like, OK, it's it's not urgent, but oh, my coach is going to be asking about it. What do we just do? We created the needed urgency. Give you a perfect example. I had one of my clients. She wanted to raise her rates and so she'd been talking about it for months. And so we were working on the programming in her head so that she felt like she was worthy of that price increase, putting it off and putting it off. And this is OK, put and says, OK, what's the plan? And so we specifically detailed walk through the plan. OK, I need to put a sign up on the door and I need to send out a notification of my. People and I got an email and, you know, here's an opportunity for people to come in and sign up for a plan where they can lock in the current pricing. And I says, OK, when I come see you next week, I want to see the sign on the door. When you think you put the sign on the door right after that call, Joe: Ten minutes Brian: 15 Joe: Before Brian: Minutes Joe: You showed Brian: Before Joe: Up. Brian: I 15 minutes before I walked in the door. Exactly. And it wouldn't have happened if I had not pushed her to make that commitment. As a mom, what are we going to do? Are we just going to keep going down this road? Because that's one of things that we do, is we look at it, says, OK, what happens if you don't change? If you keep doing the same thing you're doing today over and over again, you're going to get the same results. Are you happy with that? Are you satisfied with it? If you're not, then what are you going to do differently tomorrow? That's going to change. The trajectory that you're going internally is a big piece of that is to help make sure that you are documenting your journey and you're evaluating the experiences that you're getting and making sure that they're taking you in the direction you want to go and if it's not making those adjustments along the way. Joe: Is the majority of the time it happens is at night, just before you go to bed sort of thing. Brian: One of the things that we designed the system to be very flexible. There's actually a place for people to write in their schedule and there's no numbers on it because I've got clients. It's wake up at five o'clock in the morning and then there's guys like me who don't start their day until seven, but I'm usually up till midnight. So, again, it just comes down to fitting it into your system. And that's actually one of the things we do within the group coaching calls is we're saying, how do I take this system that Brian has created and apply it to my life? How does this fit into my life? And we teach people how to do that. And I've got one client who does restoration work. So he's very much like a firefighter. The phone rings and it's like the alarm bell going off. He's got to go fix somebody's problem. So how does he schedule his day? And so we came up with a system on how to use the system because what happens if the alarm doesn't go off? What are you going to do? So we had a plan, a system and a Plan B system Joe: Mm Brian: For Joe: Hmm. Brian: It. We recommend the Evening Times for a couple of reasons. Number one, when you're planning tomorrow, you don't have to remember it. Actually, you get a better night's sleep. Joe: I get it off your brain. Brian: Right, and so your brain, is it trying to remember all the things you've got to do tomorrow? We also encourage now I have some people completed at their end of their workday. So at four thirty, when they go home at 5:00, I've got one woman who does it at three thirty before she go pick up her kid at school at 4:00 and she's basically document what did I get done? And she's also there's still some things potentially that she's going to do because we incorporate not just your business, but your life in the journal. And so it's like, OK, what am I going to be doing for all 16 hours? And I'm awake and relax and let go because so many times we struggle with constantly running. And there's a reason why there's a pad of paper and a pen on my bedside is because there's a lot of times I wake up in this ideas and I got to sit there and I get to write it down because I will not remember when I wake up in the morning. And so it just comes down. We try to get the system to fit the person, not the person to fit the system Joe: Mm hmm. Brian: Like so many of them do. But at the end of the day, it comes down to what works for you. We recommend in the evening because of the benefits there. There are some people that do it first thing in the morning. If that's the case, as long as you're doing the system, great. Joe: I just hear about it all the time, and I said I was going to start it after the last episode, that someone who was heavily into it, I even publicly said, all right, I got to start doing it and I still haven't done it. Brian: Well, let's have a conversation about that, Joe, because, again, at the end of the day, it's what is it going to take to get you to move? Joe: Yeah. Brian: And that's actually something that because, again, I've got numerous stories that I can tell you about people that because one of the one of the most common mistakes that people make when they're doing the journal is the fact that they only do it Monday through Friday. They don't do it Saturday, Sunday, because, again, like the woman who does it at the end of the workday, my question to them is, OK, that's good. But what are you going to do, come on Saturday, Sunday when you're not going to the office? What are you going to do then? And so we create a plan on how and then we got to you got to figure out how to make it work. And so I actually challenged several of the people to do it, says, OK, if you don't in. The other thing is, is not getting the journal done. The night before it was OK. If you don't do the journal the night before, you have to spend two minutes on a cold shower in the morning. I don't know about you, but yes, they talk about cold showers being this great, wonderful thing. But I don't want that in the morning. No, thank you. And so, again, we move away from paying much better than the the perceived pleasure. OK, and so it's creating the pain. So it was like, OK, you don't do the journal, not before you're going to take a cold shower or I mean, really what I would do is I give them a choice. I says you can either a take the cold shower or B, you have to text me that says I didn't do my journal last night. Which one do you think people chose? And I said, OK, those are your two choices. You have to choose the greater pain. Which one do you think they chose as the greater pain? Joe: I would think having the texture would be more of the pain. Brian: Yes, Joe: Yeah. Brian: Because that is admitting Joe: Yeah, Brian: That they failed, Joe: Yeah. Brian: Which just goes to show you the level of programming we have around failure. And so, again, it's using fear and pain to move you in the direction you want to go. Joe: All right, a lot to unpack there. So we only have a little bit of time left and I want to honor your time. So let's do this first. Let's talk about I have for services written down that you offer. And you might have added one. You might have taken one away. But I have your one on one coaching. I have the ninety one day challenge. I have the mastermind and then I have your weekly accountability coaching. And so can you just briefly give us an explanation of those. And if I missed one at it and if you're not doing one of them, take it away. Brian: Ok, well, as a coach, I need I don't know where you are, so I don't know which service to offer you or which one is the right fit for you, Joe: Mm hmm. Brian: You or your listener. And so I really start with what I refer to as a discovery session where we sit down and talk about where you are and where you want to go. And then based upon that conversation, we determine how to best help you. Now, where do people usually start? But most people start with the incredible results, starting with their challenge, because it is the one skill that helps people take the action they know they need to be taking that will help them reach their goals. And they see tremendous immediate results, positive results and benefits from participating in the program. And it's one that it's only one hundred and ninety seven dollars if somebody wanted to participate in it. But you got to come through me and do that discovery session in order to determine whether or not that's the good right fit for you. The other thing that is like rocket boosters on the on any one day challenge is the weekly accountability coaching calls and the incredible results. And what a challenge. We do a group coaching call where we are sitting down and we are we're talking how to help use the system, how to get the system to work and fit into your life, and how to help you consistently take action on it. But we also help you with your plan on accomplishing your ninety one day goal. So if your goal is to get 50 new clients, this is OK. What are you doing this week that's going to make you more clients? And we're talking about those different activities in those different ideas and strategies. Brian: So the problem is, is there's anywhere from five to 15 people on that call, depending on how many people are actually in the group at one time. And so it comes down to how do you get enough of my time to where we can truly focus on that programming piece that we've talked about, which is such a big, ugly mess that gets in the way all the time. That is where that one on one time comes in to, where we actually spend 30 minutes specifically talking. We it's a very specifically designed program, says, OK, here's what I'm going to do. Here's what I got done. Here's what I learned. And here's the changes I'm going to make so we can review that in eight to ten minutes pretty quickly. And then we spend the next twenty minutes digging into what got in the way. What's the challenge and struggle you're dealing with right now? That's either the bitch that you're in, the roadblock you're facing, or what's holding you back from moving forward. And that right there is tremendously powerful and makes the ninety one day challenge much more successful. And people who are participating in both their results that they get in and I know they challenge is heads and shoulders above the people that are just in the program by itself. Joe: Yep, and I have to ask this, because I'm sure if I was listening to this, it would be driving me nuts the entire time. It's like, why ninety one days? It's not 60, 30, 90, 120. Brian: It's seven times 13 is 91, seven days for 13 weeks. Joe: Steamworks got it. Brian: So because, again, one quarter is three months, which is four point three weeks, and so it's to get a full 13 weeks is ninety one days. Joe: Perfect. So we covered that and the Brian: Ok, Joe: Weekly accountability and then Brian: Right. Joe: The one on one coaching is. Brian: The one on one coaching I refer to I refer to as my general coaching, and that's where somebody is really wanting to grow and make changes. And a lot of times people will start off there. And again, they're wanting to do a lot of growth and unpacking and deal with the programming issues that are going on. And they're wanting to make some significant changes. Those are one hour sessions and those are usually each week as well where we're digging in and we're trying to figure out again, we're making some serious shifts in there. And then a lot of times it's like, OK, we got them straightened out and we got them on a path. We've created the plan. We've got the momentum going now and it's starting to move forward. And a lot of those people will roll into the accountability coaching so that they have the regular check ins that are getting done what they want to get done, but they don't need to necessarily. OK, let's dive in deep in there and start digging around. Those are wonderful sections. I love doing them, but they take a lot of energy on both myself as well as the person because we're going deep. Know, one of the things that you probably have learned by now listen to this is I don't like to play in the shallow end. I like to dive deep and I like to go under the covers. And if people aren't, that's the other thing is if you've got to be comfortable in playing in the deep end and there's a lot of times when my role as a coach is not to tell somebody what to do, I almost never do that because who's an expert on Joe and Joe's business, Joe is right. So my role is to ask you the questions that is going to help you come up with the answers and solutions to the problems that you're faced with that external perspective and to help you come up with the solution that is within yourself and that the mastermind is more Joe: That's Brian: At the upper Joe: Ok. Brian: Level Joe: Ok. Brian: And that right now is closed. So people are not available into that. And usually what happens is we start people off in the 90s when they challenge and there's those people are rolling up into that mastermind as they complete the 91 day challenge. Joe: Scott. Brian: But we start people off with where they are and what they can afford of what they need to do. And so we have programs that start, like I said, at one hundred dollars a month, up to twenty five to five thousand dollars a month, depending upon which program you're involved with. And there are other things that I do. I have mentioned Tony Robbins, but I have not mentioned John Maxwell, most certified coach, trainer and speaker of the John Maxwell team, which means for those people who are not familiar with John Maxwell, he's a world renowned leadership expert. And that was one of the big challenges that I saw was there was a lack of quality leadership in our world today. And because my target market is that small business owner, entrepreneur and professional, they have never really had much experience with leadership training. But again, I'm not a leadership trainer. I'm a leadership developer. And so we have leadership programs using John's world class material that over a period of 90 days, we teach you the strategies and you practice them for ninety one days so that you develop those skill sets along the way. And so, again, it depends upon where you are and what you need and what tool is necessary to help you fix the problem that you're up against. Because again, I use Stephen Covey, I use Joe Mitali. I will pick from anybody I need to and I will claim that everything that I share didn't originate with me. Brian: I'm standing on the shoulders of the giants that went before me as far as you know, all the way back to the Greeks, Aristotle and and some of those, because they had it first. They they mentioned it. And again, everybody since then is really just repackaging it from there. And if somebody wants to do a DIY version of it, pick a great book. Napoleon Hill's was probably the the godfather of personal development or at least modern person development with they can grow rich. And one of my mentors actually went and read the book and studied it over and over and over again. You probably have heard the suggestion that you should go read a book a week or so, go read 50 bucks a year. Right. I challenge you. That's not the right strategy if you're wanting to grow. It's a great way to learn information. But if you're wanting to make changes in your life. Yeah, one great book and read it 50 times, study it, do the exercises at the end of the chapter, implement the strategies. Another great one is Stephen Covey's Seven Habits of Highly Effective People. That that book still to date. That's one book I try to read at least once a year. And I'm usually listening to it because I'm taking advantage of the windshield time that I have. And it seems like there's always something more in there. Brian: That book is so deep and there's so many different levels that you can get into it as you grow. There's another level. There's another level. There's another level, which is how I spend a lot of my time. Yes, I have three different coaches and I'm constantly consuming more and more material. But there are there's about ten different books that I try to spend time reading consistently because they're the road maps, they're the foundational skills. And it's going to take for me to get to where I want to go. And it's only through consistently coming back to it. You don't become a master blackbelt by learning how to do the form and doing it perfectly. One time I believe it was Berklee that said, I don't fear the man that knows ten thousand ticks. I fear the man that is practiced one kick ten thousand times in the story that got you the story and the rest of the story was the example of that was he says will show me. And and basically what it was is because that person had practice that kicks so well. It doesn't matter if even if you know it's coming, you can't block it, you can't stop it. He has mastered how to do it regardless of what you do to counteract that. The only way to not get kicked is to not get into the fight. Joe: So. We're over a little bit, we have a few more minutes. Brian: Oh, yeah, I'm good. Joe: Ok, cool. So I want to ask you about because you mentioned since we're on the subject of books and you mentioned Joe Vitale and you were you are part of a book called The Abundance Factor. Brian: Yep. Joe: Can you tell me a little bit about that and how that came about and. Brian: Well, I was on the short list as Joe was looking to write his next compilation book, and I had been following him, been a fan of him, read a number of his books. I still practice one of one of the big things that sticks for me from Joe is the story of Hopital Pono. If you have not read the book Zero Factor, I highly recommend it. It's a very fascinating book. The mantra that that book teaches is something that actually helps me go to sleep at night because my brain has a hard time shutting down. And by saying that for phrase mantra helps my it's kind of a signal to my brain to stop thinking and go from into my head and into my body. And so it's really helpful there. And so I was on the short list of authors that Joe asked to help participate in that book. It's called The Abundance Factor. I knew the group of people that were pulling together. And so my chapter is called The Unpleasant Truth, because, again, there's a lot of people out there teaching because we're talking about the mindset of abundance, which is something that a lot of people struggle with. But it's hard for people to actually do it and practice it consistently. And that's really what my chapter was about. It was about taking the actions that the book is encouraging you to take. And so that's what my chapter is in that book. April of the year that it came out, we did hit the Amazon bestseller list with that book at the time. And it's been a great book. And I use it more of a as a calling card and as an introduction to myself when I'm meeting new people. Joe: And then you mentioned earlier about a book that you wrote that I did not actually see in my notes. So can you tell me about that? Right. Was Brian: Ok, Joe: There. Brian: I've written three books. Joe: Ok. Brian: The first book is called Ready, Set Succeed, which is a self published book. Again, it was another compilation with a series of different authors. And I've got several boxes of those still today that, again, I use them as is handouts. And it's, again, about taking action because again, that's what I saw people struggle with and implementation because again, at the end of the day, it's ready, set, succeed, go. You've got to get moving. And so we were all writing the chapter based upon that. It was a self published book. The only way that you can get that is to go through me to get that I'm aware of. And I actually did have a client come to me through that book for one of the other offers. They got it. They called me up and that chapter resonated with them. And it was an opportunity for me to help them out. Then we wrote The Abundance Factor, and then after that we wrote a book called Unleash Your Fear. And that book is available right now. You can go to unleash your fear dot com and get a copy of that. Right now, at this point in time, it is about a 40 page e-book. You can get a copy were actually read it to you for in about an hour. Brian: But that's one of our projects for the rest of this year, is to work on rewriting that book and expanding it to where it's around a hundred pages and we turn it into a physical book and using that as a methodology to share that message. Because as we've gone back and we've we've shared that message, we teach in a very powerful concept in that book about the relationship that people have with fear, because right now most people have a lousy relationship with fear. But fear is just a tool that's used by our subconscious. And our subconscious causes us problems because it's designed not to make us happy. It's not designed to make us successful. It's designed to make us survive. Problem is, when we do go out there, when we want to grow, when we want to succeed and we want more, it sees that as not surviving. That's risky. There's pain out there if we pursue those things. So how do we how do we change that? How do we work on that? That's what I've understood from the people that have read the book, that a lot of people enjoyed it and you can actually still get it for free for a little bit longer. Brian: We're in the process of getting that changed. You can go to unleash your fear Dotcom and get a copy of that book there. And once we get the expanded version, we will still be using that. You are all along the way. And so in this process, we've got a lot of great tools that are available to you. And we've talked about a lot. Joe, you're actually one of the longer podcasts that I've gone on and we've talked about a lot of different things. But one thing we haven't talked about is one of the foundations that I used for my coaching, which I refer to as the Five Keys of Success. And that's actually a podcast that I do called the Five Keys of Success podcast. And you can go out there to wherever you get your podcasts and Google five Keys successor Brian Lovegrove, and you'll be able to find it. And I talk about those five keys, because at the end of the day, because, again, I've been doing personal development for decades now. And so I boiled down all of that stuff to what is the true fundamental foundational skills and tools you need. And I came up with those five keys. You want to know what those five keys Joe: I Brian: Are? Joe: Do, I have actually you were not going to get off this podcast without talking about it, so I have them here. I still have other stuff. That's why I like that. Yes. So please, I totally want to these this is like one of the things that really triggered it. When I wanted to have you on as a guest, I'm like, man, I want to know what those are. Brian: Well, the five keys of success, the first key is clarity, and I refer to it as get clear because without clarity, you're lost, you're wandering around in a fog. If you don't have a destination, you're never going to be able to get there. And if you don't know where you are, how do you know how you're going to go from where you are to where you want to go? And we talked about the plan. If you are not clear on the plan on how to achieve your goal, you're not going to get there now. But there's some also challenges with that piece because, again, a lot of people may not necessarily know how to get to that point, but do you know how to get started? Because that's the key. Do you know what the next step is? How many people get bogged down with steps? Nine hundred and eighty seven through steps. Twelve hundred and eighty four. Well, what steps do you want? I'm on step five. What step six. I don't know. Focus on step six, seven, eight, nine. OK, focus on what's in front of you and these other steps you will figure out by the time you get to that point. The second key is commitment because without commitment we cave in to the fear. We don't have the motivation, the energy and the power to keep going when things get. And the analogy that I love to use is the story about Cortez. When he landed in The New World, he burned his boats. His men woke up the next morning and they went in. He addresses many gentlemen. There is no way home that we do not create for ourselves. And so his small band took on and conquered much larger nations and groups of people in South America because they were committed to making it happen because it was either do or die. Joe: I'm a big fan of burning the boats, by the way. Brian: Absolutely, that's one of the podcasts that we did, is, OK, how do you burn the boats? Joe: Yeah. Brian: And we kind of walk through that exercise and that's that can be a whole coaching process. My story around that was I used to weigh two hundred and sixty pounds and I went on a diet and I lost thirty five pounds in the first month and a half. It was a radical diet. And one of the things that I did on the back deck in the fire pit is I burn my fat jeans and I actually have a picture of you. It's it's at night. You can all you can really see the flames. You can barely make out the jeans as part of the picture. But I vividly remember that process. And I promised myself I would never buy that size pair of clothes ever again. Now, have I been able to keep off all the weight that I lost? No. But when my pants get tight, that option is not there. Joe: Yeah. Brian: It's like, OK, we got to do something, we got to turn this around because we are not buying a bigger sized pair of pants. And so, again, that's where that burning the boats actually comes in, which leads us to step three, which is get crankin or get busy taking action. Money talks about taking massive action. And, you know, how many times have I you know, I've tried everything. Really? How many times have you tried? What have you tried? A hundred things.

Brian J. Pombo Live
Trust-Based Selling: Never Chase Ghosts Again

Brian J. Pombo Live

Play Episode Listen Later Jul 18, 2021 2:10


Sales expert Ari Galper talks about the power of finding the truth of where your prospect stands first, rather than spending time "chasing the sale" as most sales people have been trained to do. Checkout Unlock The Sales Game - https://unlockthegame.com/ https://www.youtube.com/watch?v=zXfXefPZlVI Transcription Ari: Let's say you're having the first call with somebody over the phone, a potential client or prospect. They could believe that they're qualified could be a good fit. All this good, you're looking forward to it call kind of comes to an end. What do we typically say to somebody at the end of a call like that? Not a trick question, but what are we trained to say to somebody, if we have someone on the hook, and they're pretty qualified, what do we normally say to somebody and then a call like that? Brian: Are you ready to buy? Ari: Yeah, we say something like, let's take us next step right you have a copy, a demo. We're conditioned to move things in which direction? Brian: Our way. Ari: Right, that's our normal trigger from our past conditioning. Brian: Sure. Ari: But what happens if you try and move somebody forward and they aren't ready yet? What do you break right there at the beginning of the process with them? Brian: You're kind of breaking trust, right? Ari: That's right. That's what happens. So let's reverse it. same scenario. Calls going well, a call comes in. And rather than saying, Hey, how about, we go to our next step? What we say instead, is this based upon our approach and our mindset, what we say is this, we say, Where do you think we should go from here? (says words slowly here) Now, how does that change the dynamic of the moment? So it makes them willing participants in the process, right? So you're shifting the power over them now and usually, when you say to somebody, where do you think we should go from here? They're usually in a state of shock. They can't believe somebody in business would actually ask them what they want to do. This is revolutionary. And you know, what's funny is when you say to somebody, usually, they say things like, I've got one more question. You know, what comes out all of a sudden, the truth, and hat is your goal. Your goal is no longer to focus on making a sale anymore. Your goal is to focus on the truth of where they stand because you don't get that from the beginning. you chase ghosts your entire day. Your whole pipeline is full of people who express interest, but you know, they never convert. And that's the game we're stuck in. Stuck in the dysfunctional, brainwashed process that we think is our reality, but we're the ones quitting because we don't have an exposure to realize we're the ones causing that to happen. For full conversations, go to BJPchats.com.

Brian J. Pombo Live
Part 5: Bob Regnerus of Feedstories & The Ultimate Guide To Facebook Advertising

Brian J. Pombo Live

Play Episode Listen Later Jun 13, 2021 9:44


Part 5, of our seven-part interview with Bob Regnerus of Feedstories. Topics covered in this episode Business Fundamentals that have Lasting ValueRole of a Coach in Business & SportsFacebook Ads: Books, Education & Seeking Knowledge https://www.youtube.com/watch?v=BAE8ERY1Nd4 Transcription Intro Brian: Bob Regnerus of Feedstories, part 5. Hi I'm Brian Pombo, welcome back to Brian J. Pombo Live. Today's a little different than other days, we actually have part five of a conversation with Bob Regnerus. And so this has been a lot of fun, if you haven't caught the rest of them, go back and watch them. But if you would like to be on the podcast or if you'd like to have me on your podcast or speak at your event, go check out BrianJPombo.com. And now here is Bob Regnerus. Brian: If you can change one thing about either the industry that you work in, or your business itself, if you could change one thing what would it be? Bob: I think one of the things that bothers me about the marketing industry in general is there's a lot of disingenuis people who really aren't there to serve people, they're there to kind of make money. And you know, these people tend to get called out after time, they kind of get it…it's really hard to hide that stuff these days. You know, I mean, like, people talk and things like that. I really don't like people that take advantage of others. Also I'm not real keen on hacks versus fundamentals, in addition to running companies, I'm a high school basketball coach. And for us to be successful as a team year in year out, is we have to focus on fundamentals. I'm not big on this is like a fluke play or a tactic or a hack that probably has a shelf life of a couple months. I hate people getting…it's the bright shiny object syndrome. I hate when those things get weighed in front of people and they waste money on it and they spent a bunch of time. Yeah, maybe it works for a while and then it like fizzles overnight. I don't want people to be in that cycle. So I try to do things that are based on fundamentals that have lasting value. And yeah, I think that's what I would change, is that's probably the thing that bothers me the most. Brian: You mentioned coaching, coaching the sport versus coaching a business person with their marketing and so forth. What are the similarities and where are the differences? What do you like most about that aspect of it? Bob: It's great question. So coaching is the same. No matter what sports or business coach is not there to play the game coaches on the sidelines. The coaches preparing the players, the coaches is coming up with plays and going over strategy, and putting the pieces in place to make a team more successful. Same thing in business. I'm not running your business, I'm not there doing everything for you. Like, if I'm there doing something for you, then I should be like an equity partner or you know what I mean, like, I should be paid differently. I come in as a coach, and it's like, no, we're going to talk about strategy, we're going to talk about how you win, we're going to talk about positioning people in the right place, we're going to talk about things that have some lasting value. But in the end, it's really up to you to be successful. Now, a coach shares in the success, probably shares in the blame mare than the success. If a team loses, I try to absorb as much of that as possible, like I didn't prepare you enough, or I didn't put people in the right place. But you know, there's a shared sense of responsibility. But ultimately, the person playing the game, the person on the court, the person in that business is ultimately responsible. And I think it's a really good relationship for people. I don't want business owners abdicating their responsibility to a consultant or something like that. It doesn't make sense to me. Because then ultimately, do you really own that business,

business education coach advertising ultimate guide brian you bob it feedstories brian j pombo brian pombo brianjpombo pombo live
Pool Chasers Podcast
Episode 151: How Leslie’s is Committing to Trade Professionals Through their Pro Partner Program

Pool Chasers Podcast

Play Episode Listen Later May 3, 2021 60:25


Episode Summary:  Leslie’s was founded in March 1963 as a one-man pool supply operation working out of a backyard shed in North Hollywood, California. 54 years later, the company had grown to become “The World’s Largest Retailer of Swimming Pool Supplies”.  We speak with Leslie’s Brian Agnew and Chad Christensen. Brian has been with the company for almost two decades and currently serves as Senior Vice President of Commercial and Wholesale. Chad joined Leslie’s in late 2016 and today is the company’s Group Vice President of Commercial Sales and Operations.  Listen in as Brian and Chad discuss what Leslie’s has learned from its acquisitions of NPS and Warehouse Pool Supplies and how they are committing to the pool trade professional through various new initiatives, including a push for more wholesale partners and its new enhanced PRO Partner Program.  Topics Discussed:  01:06 - An introduction to Brian Agnew and Chad Christensen  04:45 - Chad’s ASU quarterback days  09:47 - How Leslie’s got started  15:42 - Everybody plays a role in order on a successful team  17:44 - Leslie’s emphasis on customer experience  20:23 - Leslie’s has not aggressively gone after wholesale customers  29:42 - How Leslie ensures that customers have great experiences   34:25 - Respect and trust are earned through action  39:05 - What pool professionals can expect from shopping at Leslie’s   41:01 - Leslie’s priority service, rebate program, and ext warranty  42:34 - Drop off your cleaners and dry end of the pump  47:35 - Leslie’s new enhanced PRO Partner Program  56:23 - Skimmer and SPPA benefits      Sponsors:  Leslie’s  Piranha Pool Products  Skimmer  PoolRx  Connect with Guest:  Website  Facebook  Instagram  Twitter  YouTube    Resources Mentioned:  Store Locator  Connect with Pool Chasers:  Website  Instagram  Facebook  Facebook Group  Twitter  YouTube  Patreon      Key Quotes from Episode:  There are so many companies that started in somebody’s garage. They started with a vision and a work ethic that helped them accomplish something great. With the way that Leslie’s has continued to grow, it’s helped change the industry in terms of being that neighborhood pool store. ~Chad  Everybody plays a role in providing the customer the best experience they possibly can. ~Chad  One of the things I would mention too that as well is that from a company perspective, you know, companies are always evolving, and if you're not evolving, if you're not growing and expanding what you're doing, chances are you're going to get bypassed by somebody else. ~Chad If we can take care of that pool trade professional through the services that we offer and the partnerships with our store teams, we know, in turn, they’re going to take care of the stores and that’s just a great partnership. Where everybody wins in the relationship, that’s a great partnership. ~Brian Since day one of Leslie's opening in 1963, we've had great relationships with pool trade partners. We've not had a structured wholesale program in place, though, and that's really what we're in the process of doing. ~Brian You earn respect through action. You earn respect through the commitment and the effort that you put into whatever endeavor you’re trying to do. ~Chad   

The VBAC Link
174 Our Secret Weapon

The VBAC Link

Play Episode Listen Later Apr 28, 2021 40:00


Who is behind the voice of our podcast introduction? Who edits The VBAC Link podcast episodes? Meet Brian Albers, The VBAC Link's secret weapon! Listen to this episode to find out why Brian has earned this title time and time again. We also learn some fun secrets and ask him some of your burning questions. But in all seriousness, we are SO grateful for all Brian does for us. He is a quality, genuine guy that they just don't make these days anymore!   Additional linksThe VBAC Link on Apple PodcastsHow to VBAC: The Ultimate Prep Course for ParentsThe VBAC Link Community on FacebookThe VBAC Link ShopFull transcriptNote: All transcripts are edited to correct grammar, false starts, and filler words. Meagan: All right, you guys. Guess what? This is an episode that I know you guys have all been waiting for since we posted a picture of our secret weapon wearing, “Don't be all up in my perineum.” If you haven't seen the post, go scroll back in our Instagram. We have Brian, who is our secret weapon. Julie started calling him that, I don't know, forever ago.Julie: Because he is.Meagan: He really is. He has proven it. So we today are going to be recording an episode about Brian. Brian is the voice of our intro on our podcast. Review of the WeekMeagan: We have a review, and Julie is the best review reader. We all know this. I can't read.Julie: Oh my gosh.Meagan: She can. So Julie, go ahead and read your review. I hope you picked a big one. I think strategically, you probably pick the big ones knowing that I can't read them.Julie: Yeah. That's exactly what I do, actually. I pick the bigger ones and leave the smaller ones for you.Meagan: I always hope. I always hope.Julie: We have so many. I don't even think we are going to get through them all, so I am trying to pick more recent ones because I know that you pick older ones and so I feel like maybe we have a little bit of both worlds in our review reading. All right. This review is from Apple Podcasts and it's from carrie.vic so we can totally Facebook stalk her if necessary.Her title is, “OMG, the best VBAC resource out there” and then she says, “Thank you so much to Julie and Meagan for this podcast! I began listening to it right after my C-section in August 2018. Then, when I found out I was pregnant in June 2020, I re-listened to every episode. So. Much. Information. So much positivity and hope. I had my VBAC on 02/11”That was just this year.“and I don't think I could have done it without The VBAC Link. This podcast helped me ensure I had the most supportive birth team and provider, provided so much useful information, and all of these mamas made me truly believe in my capability to do this!“Thank you, thank you, thank you a million! Sending so much love to all you mamas out there! ❤️”I love the heart emojis. I love the reviews. I love carrie.vic from Apple Podcasts. Thank you so much and congratulations on your VBAC.Meagan: Yay. Congrats, congrats. I love when we hear the reviews and we don't have to go stalk them. So if you leave a review or if you have left us a review and then gone on to have your baby, let us know how things are going because we kind of stalk you on Facebook, not on Facebook Facebook but on our Facebook community to see because we love following up and hearing about the stories. So leave us a review and if you have already had your baby, drop us an email or tag us on Facebook and let us know.Julie: Yeah, because we really need closure on these things. Like the ones from last year that you read, I'm like, “Oh my gosh, they had their baby eight months ago. I don't know what happened.” Closure is always good.Meagan: Okay, without further ado, we are going to have Brian give us the intro.Brian: All right, here comes the music. You are tuned into The VBAC Link podcast with Julie Francom and Meagan Heaton, VBAC moms, doulas, and educators here to help you get inspired for birth after having had a C-section. Together they have created a robust VBAC preparation course, along with this uplifting podcast, for women who are preparing for their VBAC. Although these episodes are VBAC specific, they encourage expectant moms to listen and educate themselves on how to avoid a Cesarean from the get-go. The purpose of this podcast is to educate and inform. It is not meant to replace advice from any other qualified medical professional. Here are your hosts, Julie and Meagan after we hear from today's sponsor.Julie: “Here are your hosts, Julie and Meagan”Meagan: Yay. I love it.Julie: I love it. Brian is amazing. I call him “our secret weapon” because he is our very first person that we ever paid to do anything from The VBAC Link. He literally saved my life because when we first started, I was editing our podcast episodes using a free program that I downloaded, and every Tuesday night I would be in a rush trying to get-- I'd spend two hours editing, and trying to crop out “um's” everywhere, and putting the intro and the exit there, and get it in the right spot, and get it uploaded, and get everything posted in time for our Wednesday podcast runs, and then Meagan connected us with Brian.Meagan, you're going to have to tell the story because I don't even remember how you guys met. But then he literally saved two hours of my week and that's why he is our secret weapon. But not only that, he is our video guy. He records the videos for our courses and we also give him a whole bunch of random audio/video stuff to do here and there for us. So he is called “our secret weapon” because he saved our lives and we want to keep him nice, quietly tucked away in our own little package so nobody else can use him because he is ours.Meagan: Brian, you belong to us.Brian: Yep.Julie: We will lock you in a dungeon with a computer and some audio equipment just in case you ever decide you want to stop editing.Brian: And honestly Julie, what you described Julie, just cutting out the um's-- that's pretty much what I do. That's the bulk of it because there are so many, really.Julie: Yeah, because me and Meagan don't know how to not say “um.”Brian: Well, I mean, everybody says “um”.Julie: I know.Brian: It's just a natural, normal part of speaking, but when you're trying to present it as a podcast, you want to sound as pro as you can. And cutting out those “um's” is working towards that goal.Meagan: Yes.Julie: Yeah, and then not saying “um” is another step.Brian: Yeah.Meagan: Yeah.Julie: Maybe when we are grown up we will stop saying “um”.Meagan: It's seriously one of the most, it's one of the hardest things for me. What's funny though is I don't recognize myself saying “um” or “uhh” but I totally recognize anybody else saying “um”. I'm like, “Oh my gosh that person says--” like I recognize “um's” more, but in myself, I don't. I don't know why that's a problem.Julie: Until Brian sends us a message that says, “You guys are saying ‘um' a lot more than usual. Just pay attention.”Meagan: “Can you guys drop the ‘um's?”Julie: And then we are texting each other during podcast episodes and saying, “Oh my gosh I am saying ‘um' so much.” No, but I have learned that I replace that with “so”.Brian: Uh-huh, or “and”.Julie: Yeah. And “and”. Yeah, and “so”. That's awesome.Brian: And that's okay. That's okay too.Julie: Yeah. So let's get going. Um, we-- see? There I did. Oh my gosh, I just said it.Brian: Yep.Julie: You'll probably have to edit that out.Brian: I'll leave that one in.Julie: Yeah, you can leave that one in because, um-- oh my gosh. Now I am going to be so hyperaware. Oh, this is not going to go well.Meagan: Oh my gosh. Okay, so I was just reflecting back on how I got a hold of Brian and I feel like-- okay. So I had a client who, crazy enough, yeah. Anyway. So I had a client and he does video and then his wife does sound. I asked her, I sent her a text or something. I was like, “Hey, do you know about anybody or do you know anybody?” And she was like, “Yeah.” I can't remember if she sent Brian to me directly or if she sent me to someone else, but I'm pretty sure she sent--Brian: You're talking about Michaela, right?Meagan: Michaela, yeah.Brian: Yeah.Meagan: Michaela knew you, right? I thought she sent me directly to you. She was like, “Yeah. I know someone.”Brian: Yeah, because I work at the NPR station here in Salt Lake City and Michaela does as well. She is a weekender and that's how I know her. She still does work there and I still do work there so we still do know each other.Meagan: Yes, yes.Brian: And so she approached me and she asked me if I was interested in helping out some friends of hers start a podcast or do a podcast or something. I don't know if she just didn't have the details or just didn't give me the details, but I had no idea what anything was about. I just knew it was something about audio editing and a podcast and I said, “Yeah, sure.” I love doing audio and I love helping people if I can pursue what they want to pursue. If I can help out, I will help out. Especially when it comes out to audio stuff because I've been doing audio forever. And so I said, “Yeah. Throw them at me. Give them my email. Whatever happens, happens.” And that just got the ball rolling.Julie: And then you became our secret weapon.Meagan: Yeah. She sent me your email. That's right. I was like, “I was pretty sure it was direct.” And then I sent it to you. I remember emailing you and it was such a big step for Julie and I because Julie was our editor before and she did a wonderful job, but she was tired of it. And we are not professional. We are not professional. It's not easy.Julie: It was so much work. Oh, well and Brian can edit a podcast episode in 30 minutes that takes me two hours to do.Meagan: Unless we say “um” all the time and then it's two hours. But yeah. But no, it was just such, I don't know. The stars aligned so perfectly. I will forever be grateful for her and we are forever grateful for you, Brian, and we are so excited that you are with us.Brian: And that was when? That was the fall of 2018?Meagan: Two years, mhmm.Julie: Yeah. Right about that.Brian: And you hadn't done too many episodes before I came on board, right?Julie: I think we were 30 episodes in.Meagan: I was going to say, I think it was 30 or 40.Brian: Wow.Julie: Yeah.Meagan: We really hadn't done that many and they were a mess.Julie: Brian was like, “You guys really need to find a studio and I actually know one that might be available.”Meagan: Yeah. He's like, “You need to have better audio.” So it's just been so awesome and then we were like, “Oh, we are going to do this online course. Hey Brian, do you know how-to video?” “Yeah.”Brian: “Yeah.”Meagan: And you guys, he spent an entire Sunday--Julie: It was like, 10 hours.Meagan: Yeah. With us in an empty duplex sitting there as we were just talking about-- like seriously, yeah. It was amazing and yeah. I am so grateful for you.Brian: And actually, videoing is the easy part. It's all the editing and post-production that takes forever.Julie: And so you know so much about birth, and Cesareans, and VBAC--Brian: And do you want to know? The funny thing is when I started editing the podcast, I, first of all, didn't know it was a birth thing.(Meagan and Julie laughing)It was just a podcast. Seriously, I had no idea--Meagan: He didn't know.Brian: --what it was about until I heard the first audio. I had no idea what a VBAC was. I had no idea what a VBAC was. I had no idea what a doula was. I had to look that stuff up.Julie: And now you know way more than you ever thought you would know about birth.Brian: Oh, I know way more than I thought I would ever know.Julie: Probably way more than you would ever care to know.Meagan: You could be a doula, Brian.Julie: I want to read your bio really fast.Brian: Oh, go for it.Julie: You wrote out a really well-thought-out bio and I want to read it because I think it is transitioning to what we are talking about right now, but I want you guys to know a little bit more about Brian and then we can talk some more, and share some really embarrassing stories, and all that fun stuff.But Brian is a SoCal native which-- I did not know that about you. Meagan probably did. Meagan is a bigger people person than I am. But you moved to Salt Lake City in the summer of 2015. You are a lifelong musician and we have seen some of your stuff on YouTube. It's pretty amazing. You have been an audio engineer since the early 90s. You worked in radio, big-time nationally syndicated stuff as well as small-time local stuff as an engineer and on-air host since the mid-90s. He is currently an on-air host at 90.1 KUER NPR Utah, headquartered in Salt Lake City, heard throughout Utah, and video editor in marketing at Salt Lake community college. I did not know that either.You run Humorless Productions. That's his business name. Remote audio, video recording, and post-production, primarily concert recordings, primarily noisy undergroundy, aggressive, electronic music. Obviously, not recording too many concerts these days. You are an avid skier. I did know that. Avid road bicyclist-- also knew that, and hard-core introvert. Also knew that.And let me tell you, people, Brian‘s never married and has no kids. Brian is such-- this is why I call him “our secret weapon”, right? He literally edits a birth podcast. He has never had kids. He has never seen somebody or helped somebody have a baby, but he is sitting over here being the biggest trooper for us. He came to our first birthday party and took pictures with us in our little made-up photo booth. He is just always so willing to help out and is just so-- I don't know. I just think you are a good-quality, genuine guy. They just don't make people like you anymore. I don't know if that makes sense.Brian: Well, if you think about it though, if you put yourself in my position, I mean, I don't really have to know anything about birth specifically. I'm just doing the audio.Julie: That's true.Brian: You know? I just pull it up on my computer and put it in my editing program and start editing. At that point it's not about birth, it's about audio and it's about making the people sound good.Julie: Which you do a great job of.Brian: So the podcast could be about anything and I'm still going to do the same process.Meagan: Right.Julie: Yes.Meagan: But at the same time, you are so willing to go the extra mile to do so many other things. In fact, even wearing your “Don't get all up in my perineum” shirt.Julie: “Don't be all up in my perineum.”Brian: The perineum shirt.Julie: Actually, can we talk about that shirt? I'm going to have that available in our VBAC Link shop. So if you go to thevbaclink.com/shop, you can see exactly what we are talking about and buy your own. “Don't be all up in my perineum” shirt straight from our VBAC shop. So by the time this episode airs, I will have it up there and live for you. I am pretty sure we can include a picture of Brian rocking it. In fact, that might just be our main product image.Meagan: Yes. Yes. I love it. Okay so, Brian. What got you into-- I mean, you've been doing this for such a long time. What sparked your interest in this? Like as a kid, what did you do as a kid? Did you want to do stuff like this as a kid? Like in editing and audio and video and all that?Brian: No, I mean, as a kid, like as a teenager, I would ride my bike around the neighborhood or ride my bike just as much as I could, so that's always been a lifelong thing. I started playing guitar at 12 or 13 years old and that pretty much instantly became my main focus forever. I wasn't good at it instantly. I wasn't a prodigy, but I got fairly good at it in some short amount of time. I was sort of a natural musician. It was just a language that I understood.Meagan: Yeah, it just came to you.Brian: It just kept going and going from there. I was in bands back in the 80s which-- we didn't go anywhere. We didn't record anything. But I was always playing and I was always getting better. Eventually, the first thing I did out of high school was, I went to a guitar school in Hollywood. It's the premier West Coast guitar school via Musicians Institute and the Guitar Institute of Technology. I graduated in 1990 and from there, that's what got me interested in audio. In playing guitar, and playing with bands, and playing with other people and recording as well, I was interested to know how exactly. You know, you mic up a guitar and why does it sound different if you put the mic here or if you put the mic here? Or if you use this microphone or that microphone? I was interested in that sort of stuff. I just dove into it headfirst while all along being a musician, but also being interested in audio.Once I eventually went to proper college, I was a music major at first, but then I switched to audio engineering and graduated as an audio engineering major. That was in the mid-90s. That's when I started in radio. I eventually did my own music shows in LA and I was an engineer for some big radio shows in LA. It all just came together and that's how it's been since then.Meagan: That's awesome. I didn't know that about you.Julie: Yeah. You're pretty good at it. You've got a natural talent.Meagan: Yeah. Oh my gosh.Julie: Alright.Brian: Isn't that what they say about kids? Because I'm a middle kid. I have an older brother and a younger brother.Julie: Aw, that makes sense too.Brian: Isn't the middle kid supposed to be the artsy one?Meagan: You know, my middle kid is. She is very artsy. I mean she seriously, she was 18 months old and I remember we were in this group of people and there were some coloring books. She sat down and started coloring and this lady was like, “Oh my gosh” because she was color blending and coloring in the lines so perfectly. She was like, “What in the deal?” And then now, she can just look at something and she just draws it. And she's like, “Look, this is--”. The other day, she brought home-- it was Cat in the Hat, Dr. Seuss's birthday, or whatever, and she brings me this Cat in the Hat picture. I am like, “Oh my gosh.” She is so good that way, and then she is really good in the arts like dance, and music, and things like that. She is really good at the piano and she is six. So, yeah. I would say my middle kid is good at it.Brian: Cool.Julie: I have two middle kids and I would say my third is definitely the more artsy one. But again, they are three, four, six, and seven. My seven-year-old has really mild cerebral palsy so he has always hated handwriting. He's always hated coloring because it's hard for him because of his right hand. It's his right side that is affected. He's not severely disabled or anything. It's really, really mild cerebral palsy, but it affects his right extremities and so he is forced to be left-handed when his brain operates in a right-handed way. He's never been good at that type of thing. I wonder if that's true. I don't know. We will see. We will see as my kids get older I suppose.Meagan: So tell us something else unique that no one would know about you that we don't even know.Julie: Yeah. Behind the scenes.Brian: About me?Meagan: Yeah, because you are. Like we said, you are just like this secret weapon. You just have all of these hidden talents. What is something that you-- I don't know. What is something secret?Brian: Well, I have a good one. I don't know if I have told you before, but I lived-- so I am from Southern California. That's what I say. That is the short answer. But the long answer is I was born in San Diego and I grew up in San Diego. But I lived all of my adult life in LA and so LA feels more like my home, which sounds sort of weird than San Diego, but if you press me, if you asked me where my home city is, I will say LA. But then, I also moved to Austria twice.Julie: What?Brian: Yeah. I lived there for most of 2005 and then I moved back to LA, and then I moved back to Austria from late 2009 to late 2010, so another year there for no reason. It wasn't a work thing. It wasn't for anything, I just wanted to live there. So twice, I sold all my stuff and quit all my jobs, and moved.Meagan: Oh my gosh.Julie: Oh, to be free.Meagan: That's amazing. That's amazing.Brian: Yeah. I didn't really know the language too much. I mean, I took some classes beforehand just so I was a little bit familiar, but I went over there and that's actually where Humorless Productions started my mobile audio/video recording system. That's where I really cut my teeth because there were so many more shows over there at that time that I could record as opposed to LA, at least for the music that I was interested in recording. And so I went over there, and I brought some equipment, and I would record all sorts of shows every month. It wasn't easy, but I worked out a system. It's evolved over the years and now I have a really good system.Actually, the first time I lived in Austria was in Vienna. The second time I lived there was Linz, which is a smaller town about an hour and a half west of Vienna. But if you really asked me if there's anywhere in the world that feels more like home than anything else, I would say it's Austria.Meagan: Really?Brian: Yeah. I have five more friends even today in Austria than I do in the States.Meagan: Wow.Julie: That is super cool.Brian: Yeah.Julie: Gosh, I used to travel so much when I was single. I guess maybe it was because I was in the military. I lived in a couple of different places and then once or twice a year before I got married, I would just travel somewhere on a plane. I was just talking to Nick the other night about this and I just miss that so much. You know, you get married, and you have kids, and you're just stuck forever until your kids get old enough to travel with you. I love that.Brian: And actually when I was over there, I wasn't really intent on traveling or going around, but that just ended up where the shows were that I would record. Vienna is fairly centrally located, so I would hop on a train and go up to Prague, or Budapest, or to Venice, or to Zurich, or to Munich, or to Berlin, or wherever. So it was all sorts of fun.Meagan: That's awesome. So cool. Yep. I did not know that.Julie: Yeah. I did not know that either.Q&AMeagan: So I posted on our Instagram what questions people have for you and a couple have come in. Can I ask them to you?Julie: Yeah.Brian: Yeah.Meagan: One, what is the most interesting thing you have learned from this podcast?Brian: I've learned all sorts of stuff. What's the most interesting thing? I don't know the most interesting thing.Meagan: What's something that stands out to you that you've learned? Obviously, you learned what a VBAC is in general.Brian: Yes, in general.Julie: Maybe if somebody asked you, what is The VBAC Link? What would you say?Brian: Well, here's the thing. For anybody listening, Julie and Meagan don't necessarily want you to have a VBAC. They want you to have the birth that you want. If you want a Cesarean, that's super great. More power to you. The thing is, you're going to learn stuff. Even if you do a Cesarean, you will learn stuff for your pregnancy that will benefit you if you listen to this podcast. If you are a first-time mother, you will benefit. You will learn stuff from this podcast. It doesn't matter if you have never had a Cesarean, doesn't matter if you have never had a vaginal birth. There is just so much good information that you will learn in this podcast.Meagan: I would agree. So another question is, do you share what you have learned with any expectant parents in your life?Julie: Wait, wait, wait. Hold on a minute. Hold on a minute. Thanks for that Brian. That was really nice of you to say. I really like that.Brian: Yeah.Meagan: That really was.Julie: Thank you.Meagan: So to me, Brian, you just answered it a little bit, right? Because that's one of the most interesting things you have maybe learned, right? We're pro VBAC, obviously. That's why we are here and that's why we created the course, and the podcast, and the blogs, and all of that jazz, but you nailed it. It's not that we want you to have your VBAC. It's that we want you to have the birth experience that you want, whether that be a VBAC or not. So I totally love that so much and that seems like the answer to me too. Maybe it's not the most interesting, but it is something that you have definitely taken away and realized that through editing our podcast, that's what we are here for. That is exactly what we are here for is to help these people get the birth that they desire no matter what that may look like to them.Brian: And one other thing, it might sound like not the best way to say this, but a lot of these women who come on the podcast have learned lessons the hard way. They want to share their experiences of learning things the hard way so that other women don't have to learn the hard way themselves. You know? You never ever want to say, “Well, I told you so I told you so,” but I think that's one of the best things about this show is that women don't have to go through all the trauma and all the pain that these other women have gone through, not unnecessarily. You know how birth goes. You never can plan it out 100%.Julie: You know how birth goes now.Brian: Yeah, more than I used to.Meagan: Yeah, and I love that. Yeah. I don't think it was saying it like that or anything. It's true. We have all learned things in hard ways a lot of the time and that for sure was me with my second provider. I didn't switch and I learned the hard way to follow my gut. I didn't follow it the first time. I had to follow it the second time. I am glad that I did so I had the outcome and the experience that I had. So, yeah. I love that.Do you share what you have learned through this podcast with expectant parents in your life? Do you have many expectant parents in your life?Brian: Yeah, I would in a heartbeat. I have only had one friend who had a kid last year sometime in 2020 and I definitely recommended it to her when she was pregnant. I said, “Hey if you want to learn some stuff, listen to this podcast.” I don't know what her plans were as far as her birth plans, but yeah. I said, “There is all sorts of stuff that you will learn listening to this podcast.”Meagan: That's awesome.Brian: And she was a first-time mom.Meagan: Yeah. I know, I think that's something that is so interesting. A lot of the times it's like, “Oh, I have had a VBAC so I don't need to listen to that,” but really like you said, the first-time parents can almost learn just as much, if not more, than the people who have had Cesareans. Right?Brian: I mean, how many episodes do you have on the pelvic floor? That is something that every first-time mother can use.Julie: Yeah. At least four I think.Meagan: Exactly. Mhmm. Yeah. And chiropractic care and working through your fear.Brian: Yep.Julie: And big babies.Meagan: Oh yeah and big babies. Things like that and learning what is evidence-based. You know, we really focus on a lot of evidence-based. So yeah. I love that. I love that you referred us. Thank you for referring us. Do you know how her birth turned out?Brian: I don't know.Meagan: Did she talk to you about that? Most people, probably not.Brian: She hasn't talked to me about it. I've seen pictures of the baby on Facebook and everything looks like it's rolling just perfectly.Meagan: Going really well. That's awesome.Brian: Yep.Meagan: So you said you have two siblings. You are the middle child. Did you say, two brothers?Brian: Yes.Meagan: Are they married?Brian: Both of them are. Older brother has no kids. Younger brother has two kids.Meagan: Oh awesome. Do you know how his wife's experiences went?Brian: I don't know. I haven't asked her.Meagan: Right. It's not really something you probably would. I was just so curious if now--Brian: I mean, I don't think she'd hesitate to tell me if I asked because she's an adult. I'm an adult. Yeah. But I just haven't asked.Meagan: Yeah. Okay, what other questions do you have, Julie? Or what else do you want to tell us, Brian?Julie: I mean, I guess unless you want to embarrass us or roast us, I am so disappointed that there is not going to be any roasting. Throw us under the bus. What kind of dirt do you got on us? Tell the whole world.Brian: I don't have anything embarrassing about you. I have something embarrassing about me.Julie: Okay sure.Meagan: That's the thing is, I want to know more about you. I want this episode to be about you. So tell everyone about you.Brian: Well, here's one thing. First of all, I said in my bio there that I am a hard-core introvert and that's 100% true. This story sort of reflects that a little bit. It was when I first started the podcast. I think I had met Julie and I had met Meagan maybe once. I forget. Maybe not at all at this point, but one of you called me. I forget who it was. One of you called me on some afternoon and just wanted to say, “Hi. I just wanted to chat on the phone for a little bit.”Julie: That was definitely Meagan. I don't do things like that.Meagan: Probably me.Brian: I felt so bad because when you called me, I was at the main library and I couldn't really take a call. I couldn't really talk but I was totally whispering. I felt bad because I wanted to talk. I wanted to say “hi” but I was just not in a position where I could do any of that because there were people all around, and I was in the middle of something, and you can't make a whole lot of noise in the library. And so the call ended up being 30 seconds. It was like, “Yeah, hi. Thanks. Okay. That's cool. Okay, bye.” That was more impersonal than I usually am. You know, in the first place, I really am not the most personable person. I am not friendly at first.Meagan: Really? I think you were. You were friendly.Brian: But I felt bad about that call. But now we all hang out and we are all cool.Meagan: Yes. Now it's like, “Brian!”Julie: COVID has put a serious cramp in our style. We don't get to see you anymore.Meagan: I know.Brian: Yeah.Julie: One day. One day, maybe.Meagan: I know. COVID. Darn COVID. How've you been during COVID Brian? What have you been up to during it?Brian: It's been pretty great for me. I call it “working from home”, but at the same time I have been an essential worker at both of my jobs, and so I have really not changed my schedule at all too much. But it's been great for me as an introvert because everybody else in the office doesn't show up. They are all working from home.Julie: So you get to be all alone and enjoy being an introvert.Brian: So at both of my jobs, I pretty much have the whole building to myself. I can work at my own pace and I can play music as loud as I want. So it's been okay.Meagan: That's good. Have you taken on any side projects or anything other than everything that we send you?Julie: Everything that we send you?Brian: Everything you throw at me? No, not really. I mean, I have all my regular stuff. I have about a dozen blogs and a dozen side projects. I have always a thousand music projects at home which don't really have a deadline, so I have a mountain of stuff I can always work on. Sometimes I get to it. Sometimes I don't. Right now it is ski season, so I am skiing every Saturday and every Sunday for months on end. I am working both my jobs quite a lot these days so I don't have much time to do much of anything.Meagan: Where do you like to ski, Brian?Brian: Well, living here in Salt Lake City is pretty much the center of the universe. We have all sorts of good skiing here. I have one of those multi-resort passes so I have gone to Big Sky Montana this year. I've gone to Steamboat Springs this year. I actually have weekends coming up for both of those coming up shortly. I don't think I will hit Jackson Hole this year. I don't think I will hit Sun Valley this year. I don't think I will hit Aspen this year, but I have skied all over the West Coast.Meagan: What's your favorite resort here in Utah? What resort would you suggest of someone to come to Utah and try out?Julie: Megan is our skier. She probably wants to go catch you on the slopes one day.Meagan: Yeah.Brian: It's probably not the one that most people would come up with as the number one resort here in Salt Lake City at least, but I go to Snow Basin.Meagan: Snow Basin is awesome.Julie: I like Snow Basin.Meagan: That's the first place I go.Brian: At least for me. I was going to say, Snow Basin is better than any of the four here close to town. We have Snowbird, Alta, Brighton, Solitude. But Snow Basin is the one I prefer. Just got the best terrain for me. I am an advanced skier. I've been skiing my whole life.↔Julie: You got a lot of that in SoCal huh? Just kidding. I'm sure the slopes were amazing in Austria.Brian: Yeah. Yeah. I went skiing at St, Anton in the alps for a week. I skied Kitzbühel.Julie: Aw, what a dream.Brian: I skied the racecourse. The Hahnenkamm racecourse at Kitzbühel a week before the race. It was the day before they actually shut down the course for the race, which was totally cool. So I skied the Hahnenkamm in Austria.Julie: That's pretty cool.Meagan: That's super cool. I just started skiing this year.Brian: Really?Julie: Did you? For some reason, I thought you've been skiing for a while. I used to snowboard back in the day when I was cool and now I'm just a boring mom. I still have my snowboarding boots. I used to go to Brighton because it was the cheapest one. You could buy a half-day pass for only three of the lifts and it was only $40 instead of having to pay $90 for a full resort pass and so me and my friend would go up almost every weekend. We would go boarding and then we would go to the Porcupine Grill at the face of the canyon afterward and have nachos and hot chocolate which you wouldn't think go together but after you go snowboarding, they definitely do go together.Meagan: Oh wow. That's in my neighborhood. Yeah. No, I actually begged to snowboard as a kid. I begged my mom every year. “Mom, I want to snowboard. I want to snowboard” and she was like, “Nope, nope, nope. Too dangerous. Too dangerous” and refused. And so this year for Christmas, my husband surprised us with also a multi-pass and said, “We are--” because you guys probably know I hate winter. I hate it. I hate it. I hate being cold. I like being at the pool feeling the sun and going outside on hikes, and sports, and obviously, as of last year I really took up cycling, and so I just like to be on my bike. So yeah. “We are going to make your winter better.” I will just tell you right now, if you haven't ever skied before and you have snow In your area and you are listening, go skiing. It has changed my winter life completely. So I love that you ski, Brian. I always remember we would always try to get the podcast recorded at the end of December, or really November, so we weren't driving in the winter and we would try to get enough through February because we were like, “We don't want to drive to the studio in winter.”Julie: The studio is an hour away from my house. In some of the snowstorms, it took me two hours to get home, and then there was that one time Meagan made me run out of gas on the freeway.Meagan: Yes.Julie: That was at midnight. It was awful.Meagan: Yeah. We were recording with Brian. This is how much of a champ Brian is. He would literally stay with us at the studio until 11:30 PM. It's insane what this man does for us. So we just are overly grateful for you. But I always remember he was telling me-- I swear there was two years or something that you were like, “Yeah. I'm going to Jackson this week.” And you would go and ski in Jackson. It's one of my dreams to go and ski because we have a cabin there and now that I ski, I want to go skiing there because I have heard it's amazing. I've also heard it's pretty steep though. Is it steep?Brian: Great one. Yeah. They have something for everybody.Meagan: Good, because I am still not as advanced or confident. My husband says I am a really really good skier. I just lack confidence.Julie: We need to get your confidence for skiing just like we want people to have their confidence for birth.Meagan: I know. Okay, one last thing. What advice would you give to parents listening to the podcast? What do you feel is one of the most important takeaways from listening to all of the stories?Brian: The biggest takeaway, and it's the most obvious thing in the world. Birth is not easy. It is a monumental challenge. You can only be as prepared as you can. You could write down every single thing that you think is going to be a part of your birth plan and both Julie and Meagan will tell you there is not a single birth plan in the existence of the history of the universe that didn't go 100% according to that birth plan. There's always going to be some curveball in there that you were not prepared for. It's impossible to prepare. You can't prepare for absolutely everything. You can make a birth plan. You can make a backup plan. You can make a backup backup plan. The best thing you can do is just learn, research as much as you can, listen to the podcast, I don't know what else to tell you. You can't be prepared for everything but you can just try.Julie: And trust your intuition.Brian: Yeah. And the other thing is that-- I'm sure you've said this Meagan or Julie in the past on one of your episodes and I know it's easy for me to say, “Well, keep this in mind.” But keep in mind that you are the mother. You are in charge. All the nurses, doctors, the providers-- they can tell you, “Okay. We need to do this,” and if that doesn't line up with your birth plan, you say, “No, wait a second. I am doing it this way.”Julie: Boom.Brian: “I'm doing it this way.” You say it twice. You say it loud if you need to. “I'm doing it this way.” And if they say, “Okay. We'll work with this.” It might get to a point where they say, “You know what? This is medically unsafe or medically unwise.” At that point, you say, “Okay. I will listen to what you have to say.” Otherwise, you are saying, “I'm doing it this way. I'm doing it my way.”Meagan: Yeah. And it's okay to say, “Why is this medically unwise?” It's okay to question that.Brian: Yeah. You are in charge. Not them.Julie: Love it.Meagan: Okay. You're awesome, Brian. We love you. We love you so much.Julie: Yep. Don't ever go anywhere. We are going to keep you forever as our secret weapon. Our not-so-secret weapon anymore but I am still going to call you our secret weapon.Brian: Awesome. Okay.Meagan: If you ever decide to go back to Austria, are you still going to stay with us, or are you going to be like, “Peace out Meagan and Julie?”Brian: Well I mean, we haven't actually ever been in the same building for a year now.Julie: Yeah, so I'm pretty sure it doesn't matter where he lives.Brian: And we're still making a podcast, so whether I'm in Salt Lake City or in Vienna, we can still work it out.Julie: Boom.Meagan: Perfect. All right, okay. Well, if you guys want to know more about Brian after this episode, message us and we will get your answers. And Brian, seriously, you are just a miracle in our lives. So, we love you. We appreciate you. Thanks for joining us today and telling us more that we didn't know about you. And for the ski trips.Brian: Totally awesome.Julie: Wonderful.ClosingWould you like to be a guest on the podcast? Head over to thevbaclink.com/share and submit your story. For all things VBAC, including online and in-person VBAC classes, The VBAC Link blog, and Julie and Meagan's bios, head over to thevbaclink.com. Congratulations on starting your journey of learning and discovery with The VBAC Link.Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

The Joe Costello Show
Brian Bogert - No Limits - Embrace Pain In Order To Avoid Suffering

The Joe Costello Show

Play Episode Listen Later Mar 16, 2021 60:16


I had the honor to interview Brian Bogert who for me, is a real life superhero in a sense. He has dealt with his share of adversity and he continues to brush himself off while continuing to bust through barriers to create his best self. I admire all that he has accomplished in his life and he's here to help other accomplish the same and more. He goal to impact over a billion people is lofty yet if there is anyone who can do, I'm putting my money on Brian. This was a special episode as Brian was so gracious and share so much and sometimes the conversation gave me a lump in my throat as we went deep. I sure hope you enjoy this episode as much as I did creating it with Brian. Thanks for listening! Much love, Joe Brian Bogert: Human Behavior and Performance Coach, Keynote Speaker, YouTuber, Podcaster and Course Creator Founder - Brian Bogert Companies Website: https://brianbogert.com/ No Limits: https://brianbogert.com/no-limits/ Instagram: https://www.instagram.com/bogertbrian/ Facebook: https://www.facebook.com/bogertbrian YouTube: https://www.youtube.com/channel/UCmhaMgY8q-tMMCj0rpGg7iw LinkedIn: https://www.linkedin.com/company/the-brian-bogert-companies/ Email: info@brianbogert.com Podcast Music By: Andy Galore, Album: "Out and About", Song: "Chicken & Scotch" 2014 Andy's Links: http://andygalore.com/ https://www.facebook.com/andygalorebass If you enjoy the podcast, would you please consider leaving a short review on Apple Podcasts/iTunes? It takes less than 60 seconds, and it really makes a difference in helping to convince hard-to-get guests. For show notes and past guests, please visit: https://joecostelloglobal.libsyn.com Subscribe, Rate & Review: I would love if you could subscribe to the podcast and leave an honest rating & review. This will encourage other people to listen and allow us to grow as a community. The bigger we get as a community, the bigger the impact we can have on the world. Sign up for Joe's email newsletter at: https://joecostelloglobal.com/#signup For transcripts of episodes, go to: https://joecostelloglobal.lybsyn.com Follow Joe: https://linktr.ee/joecostello Transcript Joe: Ok, today, I want to welcome my guests, Mr. Brian Boger. Brian, welcome.   Brian: What's up, Joe, I love I love that shirt you're rockin no limits, soldier, right there. I   Joe: Hey,   Brian: Love it.   Joe: There you go. You know what? So since we're talking about the shirt, we've brought it up. Explain to me the purpose behind this shirt. I know that you give all the money away to   Brian: One hundred   Joe: Charity.   Brian: Percent of the proceeds, huh? Yeah, so I'll first describe kind of what no limits is just high level and then we'll talk about kind of where this is. No limits is is part of our branding. And it's this belief that I genuinely feel like we all can live with no limits. It's not that we're unlimited and we can do anything we want. It's that we can live significantly beyond the limits we place on ourselves and certainly be on the way the world has placed limits on us. And so that infinity sign, there's a lot of intentionality around it, which is really about awareness and intentionality and how those weave together to help us find who we are so we can live with no limits with our life in alignment. And so as we've been building this brand, there's always been this altruistic philanthropic side of me. Everything I do and desire for me to be financially successful is also for my ability to distribute that wealth back out into the community. So when we had an opportunity that people started to really attach to the brand and what they were doing were like, you know what, let's make some apparel. And we've got, I think, five different t shirt designs, both in men and women. We actually also have a dog design, too. I'll explain that in a second.   Brian: But the reason we did it is one hundred percent just to allow people to attach to it. You see, there's not Brian Bogot companies and stuff written all over it. Right? It's really the infinity in no limits and embedding people in that. And one hundred percent of the proceeds are going to nonprofits that we're going to rotate on a quarterly basis. And so, you know, it's just another cool way. You know, I'm not gonna make a bunch of money off t shirts. That wasn't something that needed to move the needle. But, you know, people can attach to the brand and feel like they're doing something better. Their investments also helping more lives. And a big part of who I am, I'm on a mission to impact a billion lives by twenty, forty five. This is just another way to perpetuate that. The dog shirts are that we're an animal family and my wife is like obsessed with them. And she's like, we can't have apparel without matching dog apparel, which just saw me die laughing because I still think it's so ridiculous. But I love my wife to death and every time my animals wear clothing, it just makes me laugh. But it's been cool because, yeah, those are those who go to support our local Humane Society and ASPCA as well. So some of the proceeds.   Joe: That's great. Yeah, and it's a beautiful shirt. I'm always nervous about when you can't you can't feel it first, but when I took it out, I was like, I don't know. I've been in the gym a lot lately. I might be a little a little too big for him. It's like fit perfect. It makes me actually look better than I should look. So I   Brian: Well,   Joe: Appreciate   Brian: You know,   Joe: It.   Brian: I'm super anal about t shirts as well, so I'm actually happy that he said that because I before we ever posted them, before we started selling them, we actually tested a bunch of shirts. And I wanted to make sure that they fit and they felt like I like shirts to fit. Not that that means everybody else needs to like what I like. But I've had so many other t shirts and different apparel that they just don't fit right in. You never wear it. And I'm like, if I if I'm going to buy something for my own brand or have something for somebody else, I want something that people feel comfortable in.   Joe: Yeah,   Brian: So   Joe: Yeah,   Brian: I'm   Joe: So   Brian: Happy that you feel that way.   Joe: Yeah, and besides wearing it out like normal, like this with her jeans and whatever, I definitely am going to get some more because I think it's cool and it'll be a gym shirt for me. And then I think people will come to me and go, that's cool, what is that? And then send more people your way. So that's my goal.   Brian: I'm so grateful, yeah, for the gym one, you're going to get one of those embrace pain to avoid suffering shirts. That's   Joe: There you go. That's   Brian: That's   Joe: Right,   Brian: That's that's the motto in the gym that's   Joe: That's   Brian: Going to help push you, man.   Joe: Right. All right, deal. So I always I know you've told your story a zillion times, I'm sure. And I want you to tell as much or as little as you want to bring us up to today. So however, you can kind of let the audience   Brian: All   Joe: Know. Yeah.   Brian: Hold it a million times, so I feel like I know the points I want to hit, so I'll just I'll just run with it. I'm going to ask you and anybody who's listening, unless they're driving to just close your eyes for just one second. And I want you to imagine going to a store, having a successful shopping trip, heading back out to your car. And it's a beautiful day. And you think you're just going on with the rest of your life like it was just any other normal shopping trip. And then you get to your car and you turn your head and you see a truck barreling 40 miles an hour right at you with no time to react. Go and open your eyes. That's where this portion of my story begins. My mom, my brother and I went to our local Wal-Mart to get a one inch paint brush. And anybody who's known me followed me or even in the few minutes we've been talking can probably tell. I've always had a lot of energy. It's the first one of the car and not a surprise to my mom because I want to get home and put that paint brush to use. You know, this is back in the days, though, before they had key fobs. So I had to literally wait for my mom and brother to close the gap of those four or five feet, catch up, stick the key in the door and unlock it to get on the other way.   Brian: And as it happened, the truck pulls up in front of the store and a driver, a middle passenger, get out. And the passenger all the way to the right felt the truck moving backwards. So he did what any one of us would do, Joe, and he screwed up and put his foot on the brake instead of the gas combination of shock and forced Zoom up onto the steering wheel, up onto the dashboard. And before you know it, he's catapulting across the parking lot 40 miles an hour right at us with no time to react. Now, we were in that spot, so we went up into the median, went up to the car in the median, ultimately knocked me to the ground, ran over me diagonally, tore my spleen, left the tire tracks, scar on my stomach and continued on to completely sever my left arm from my body. So there I am laying on the parking lot on one hundred and fifty three day in Phoenix, Arizona, my mom and brother just watched the whole thing happen and they look up and they see my arm 10 feet away. Fortunately for me, so did my guardian angel. She saw the whole thing take place, she was a nurse that walked out of the store right when this happened.   Brian: She saw the literal life and limb scenario in front of her and she rushed immediately into action. She focused on life. First, she came over and stopped the bleeding and she saved my life. And then she instructed some innocent bystanders to run inside, grab a cooler filled with ice and get my detached limb on ice within minutes. Had she not done one or both of those things, I either wouldn't be here with you today or I'd be here with you today with the cleaned up stop. That's just the facts, right? So I will expedite a whole lot of the rest of that particular story. We can dig deeper if you want to. But as you can imagine, there was years of recovery that came from this. Twenty four surgeries and a whole lot of lessons and observations. What I've definitely learned is that I have an extremely unique story. I'm sure that your listeners weren't expecting it to go there today. But what I've also realized is that we actually all have unique stories. And what's important is that we pause and become aware of the lessons we can extract from those stories and then become intentional. How do we apply to our lives? And we all have the ability to do that. We also all have the ability to tap into the collective wisdom of other people's stories, to shorten our own curve, to learn something to share with you two primary ones.   Brian: And then we'll just see where the conversation goes. The first is I learned not to get stuck by what has happened to me, but instead get moved by what I can do with it, and the second I didn't realize until far later. I was a kid. I was seven, eight, nine, 10, 11, 12 years old when I was going through the meat of all of this. Yes, I was the one doing the the therapy. Yes, I was the one having the surgeries done to me. But I was also being guided through the process. So I was a little bit in a fog. My parents, however, were not they were intimately aware of the unceasing medical treatments, years of therapy and the idea of seeing their son grow up without the use of his left arm was a source of great potential suffering for them. So they willed themselves day in and day out to do what was necessary. It was tough to embrace the pains required to ultimately strengthen and heal me. So whether it was intentional or not, what they did was they ingrained in me a philosophy and a way of living which I embody and everything I do now, which was to embrace pain, to avoid suffering. And I believe when that's done right, that's also where we gain freedom.   Brian: So it's these concepts that I use to not only become this unique injury, but how my business partners and I scaled our last business to 15 million with the span of a decade. And now how is a human behavior performance coach and entrepreneur? I flip that on its head. You will have individuals and organizations just like you, just like the people listening, become more aware, more intentional, and who they already are, their most authentic selves. You see, I believe that's when magic starts to happen and the door starts to crack to perspective, motivation and direction. And that's when people have the opportunity to have joy, freedom and fulfillment and to back into their lives. And those are the reasons I'm spending the next twenty five years of my life committed to trying to impact a billion lives on this planet. Because if we can reduce the level of suffering that people experience, which there's a lot, and we give them the chance to experience joy, freedom and resentment, we give them the permission to be exactly who they are and know the world will embrace them and love them for exactly who they are. And we can bring vulnerability and authenticity into everything we do, which are the glue that binds human connection. Then we can come together and leave this world a lot more. Beautiful place for my kids, my grandkids.   Joe: Well, let me start here first. Do you still are you still in contact with that nurse?   Brian: You know, I am actually on a mission to find her right now. I've never spoken with her. And so part of the reason I also talk about that role in that process on so many platforms is I want there to be a lot of exposure and hopefully the world is going to help me track her down because I just want to say thank you.   Joe: Sure, that time that I've heard the story, it was like, I need to ask him that question, I'm just wondering if they're in connection with each other.   Brian: We're not I'm actively looking for her right now.   Joe: Got it during the time you were going to school. How did you handle I would assume you were treated differently, right,   Brian: Of   Joe: By   Brian: Course.   Joe: Your by your friends and teachers and they always whatever the case might be. How did you handle that?   Brian: Yes, so I think I handled it from a place to survive and protect myself, although I didn't realize that's what I was doing until far later. I didn't I didn't like being the center of attention and I didn't like. Being defined. By boundaries that were placed upon other people's view of what they'd be capable of in my scenario, and so I got this really adamant approach to I'm not going to be defined by those boundaries and I'm going to break beyond boundaries for my entire life, because why not? If I want to do something, the limitation is inside. Right. I need it. And there may be a physical limitation in some ways, but like I can always overcome the physical limitation. If I have a will and desire, that's great enough. But what happened right to protect myself is I created this intellectual narrative, which was I'm good, I'm strong, I'm capable. I don't need anybody's help. And it served me really well for a long time during that period of time, I was able to really hone my emotional intelligence because I got so good at wanting to divert attention from me that I got very strong in my ability to read people, read environments, read situations so that I could almost ensure that that attention wasn't on me. And so it honed those skill sets. And it also honed my mental toughness, which, again, I'm a huge believer is a big part of the equation to be kind of successful. That intellectual narrative ended up biting me later in life. And when I was 20 years old, I broke my arm in a snowboarding injury.   Brian: Compound fracture almost lost it again. And that was the moment that I realized the power of our narratives because the world bought into mine. I had I had sung that preached that narrative so strong. I never even said those words right. That's just the message that I was sending with my energy and how I showed up and how I interacted. And now all of a sudden, I'm in my most vulnerable period ever as an adult, not having the same infrastructure and support system that I had at home that I probably took for granted up until that point, how much support I had. Now, sitting in this vulnerable position, I didn't have the courage to ask for help. So I had a lot of friends, a lot of family. Nobody showed up and they didn't show because they didn't love me or didn't care about me. And they showed up because they just believe Brian's goody strong is capable. He doesn't need anybody else. And so that's kind of the during that whole school adolescent period. Right. It was really about me proving that I could overcome the physical limitations, that I could protect myself, that I could get myself there. But what I really downplayed the importance of was the importance of human connection. So that whole next year of my life, I shifted to vulnerability and authenticity and how do I hone the relationships that I was developing so strongly through emotional intelligence to be able to focus on a true connection.   Joe: So it sounds like your parents were super special. Did they go out of their way and whatever normal way for them to handle it, to not limit you from doing anything like when somebody knocked on your door and said, hey, can Brian come out and play and we're going to play football? Did they say, Brian, go have fun? Like, is   Brian: Yeah.   Joe: That the approach they took?   Brian: You know, nobody's ever asked me that question, you just gave me chills when you asked that. I think it's a blend, honestly. They did. They never wanted to be the reason that I didn't do something. But as you would expect, all parents have a protection mechanism that kicks in. So immediately after the accident, I was I was in slings and during surgeries for a few years. And so that first year after the accident, no, I wasn't going out and playing at the level that I would have right between seven and eight. But it wasn't long after that that it was it opened up. We started having good friends in the neighborhood. We played football in the street. We played basketball on the street. We rode bikes nonstop. And so they were never going to tell me that I couldn't do those things. Now, what they didn't want me to do, they didn't want me to join a football team where we were playing tackle because for obvious reasons, I get hit really hard on that arm. Even though the doctor said the bone wasn't strong, we don't know. Right. So so they would limit it in terms of like, exactly the application. But at the same time, they got so used to me doing what I was doing that whenever the phone rang and it was somebody a number that my mom didn't know back then, she was expecting insert branded something again because I needed I think they appreciated the fact that that's who I was when I was born.   Brian: I mean, I was always the guy that was pushing the limits even before this. This gave me perspective in humility that I wouldn't have had otherwise. And so they at least were aware enough to recognize, like Brian's got a higher risk threshold and probably has an even higher one after the accident than he would have had anyway. And they they knew that they needed to give me those outlets to be able to spread my wings and be free. So they always encouraged. Right. Like, if I wanted to go mountain bike and do jumps, they'd be like, OK, you're going to get hurt. And then if I got hurt, we'd figure it out. Right? I mean, within reason, they gave me the freedom. I think they made the right decision to not let me play tackle football. Who knows what could have happened, but did I play on other sports teams? Absolutely. So, yeah, I think my parents really did encourage and they still do to this day, despite the fact that they know you know, I think my mom has just gotten used to constantly being on edge, like expecting that Brian is going to do something crazy and get hurt. That's how we find our limits in this world, is we've got to push them.   Joe: Well, tell her to not follow your Instagram account so she doesn't have to see you squatting. Four hundred pounds. I saw that. I saw the photo of you sitting there. I'm like, oh, my gosh, I can't watch this. This is killing me.   Brian: Well, I mean, and that's one of those things I had to learn, right? I mean, my biggest limitation for some of those things is my hand strength. And so I have to get creative and I figure out how to do things. And when I first started deadlifting, I mean, I knew I couldn't deadlift with a normal bar because of the imbalance in my body already, but I could deadlift with a bar and protect myself for the most part. Well, that worked really well until the one time that my strap broke   Joe: Oh.   Brian: While I was lifting. And this was like early on. So I had to, like, learn these things. Well, my instinct wasn't to just let go of the bar on the other side. And I think so what you saw the other day, I wasn't 400 pounds. I think it was two hundred and   Joe: Yeah,   Brian: Forty.   Joe: I know, I just I couldn't remember,   Brian: But   Joe: But.   Brian: But I but I have I have reps significantly above 300 pounds. I don't say that to impress. I rest to the point I was doing that in this one scenario when the strap broke and I didn't let go on my right hand because it wasn't instinct, because I wasn't expecting the strap to break. And this was a learning experience because it tweaked me really bad. And I mean, I didn't deadlift for a few months after that. I had to recover. But once I started getting back into it, it changed my form. It changed my focus, it changed my attention. And now I'm like intimately aware of, like every movement on the strap. And I'm like ready at any moment to just drop so that I don't tweak my back. But my core strength is a big part of my ability to not be in debilitating pain every single day. Those deadlifts keeping my upper thoracic, keeping my shoulders, keeping my back because I don't have a lot on the left side of my back, keeping them strong is essential for me to not be literally in debilitating pain every day.   Brian: And so those are the those are the pains I have to embrace. I've got to embrace the pain of figuring out how do I lift in a way that pushes my body, gets the hip hinge in there, gets the movement, my back and my core strength and all that stuff engaged in a way that's going to allow me to maintain a livable amount of pain in my back because the imbalance versus debilitating suffering. So it's funny that you mention that. But yeah, I think my mom is just used to it. My wife is too. I mean, my wife is incredible. She literally is like I know that if you set your mind to something, you're just going to go do it. And there's a high degree. At some point you going to get hurt. She's like, but what am I going to, like, box you in and continue? Like, you're just going to go do it anyway. I was like, yeah, see, like, I love that, right? It's like just let people let people spread their wings.   Joe: That's right. Well, that's great before we get off of this subject and move on. I know that you and Blake do mountain biking,   Brian: Yeah, we do,   Joe: Right?   Brian: Yeah.   Joe: And that's like a big thing he loves to do with you and you with him. And so that's got to be at least I mean, I've done it and that's a lot on the arms.   Brian: Yes, so what's funny is I have no other perspective because I didn't learn how to mountain bike until after my injury, I didn't I didn't learn how to mountain bike when my when my son did at five and six and seven. So, yeah. It isn't in balance. Yeah, it is difficult. And I did it for almost. Let's see, I did it for probably 20 years before I actually started adapting my bike. And so there's no tricep, so Tricep and Laerte are the two muscles that you absorb, all of it, all of the impact with when you're mountain biking outside of the suspension. So I don't have a lot of tricep. So there's an automatic imbalance in my body, but I've learned how to balance it because I didn't know any other way and I was motivated and wanted to do it. Mountain biking is one of the few places that I'm absolutely free. And the reason I'm absolutely free there is I don't have the ability to think about anything else. Almost any other workout I do, almost anything I do like there's time to think. Mountain biking, you've done it right. You know, like you've got to be on your game.   Brian: One hundred percent focused on what's ahead of you. And so because of that, I've learned how to how to modify my body, my weight distribution, the way that I actually handle the handlebars. But two years ago about I started researching modifications for people with upper extremity injuries. And I landed with this company in the UK that they're actually right now building a product for me that I think is going to take my mountain biking to the next level, which is cool. But what I did is I got a steering stabilizer almost like the ones they have on their bikes. There's a company in the US called Hoby and they make these steering stabilizers for for mountain bikes. So I ended up getting that which what it essentially does is it's a spring unit which snaps the bars back to being straight. I thought it was going to help me more going downhill than uphill. What's crazy is it's actually helped my climbing more than anything because I can pick a line and put all the power I need to in the pedals and not worry about the imbalance in the handles, because it'll it'll keep my lane pure   Joe: Yeah.   Brian: And with slight, rigid and then downhill. It just gives me more confidence as well, because if I were to hit a bump and it goes on the left side, your weight goes forward, the handlebars collapse. Right. And just like twist the bars, this steering stabilizer stabilizer allows me to balance it with the muscle structure having the right arm and how I can balance my body on the left and then hope, hope he breaks is also another brand that I actually found out they just released this last year, a brake unit that has two master cylinders in one unit so you can have your front and your rear brake both on the same side. I've always never used the front brake in mountain biking   Joe: Sure,   Brian: Because my right   Joe: All that   Brian: Side   Joe: Pressure.   Brian: Is always   Joe: Yes.   Brian: What you want to be able to use primarily anyway, right? Whereas road biking, which I do a lot of the front brake is more important. Mountain biking, the rear one's more important. So I was always able to get around the corners, but I never had the confidence that I could actually stop and modulate my brakes effectively. So I would take things a little more cautiously now that I have these brakes on both sides and I can truly modulate, like just with, like little twitches in my fingers and the steering stabilizer and it's changed my mountain biking game. I can go out there and rip at a level that I've never been able to with confidence. And then there's like I said, these are these two other products that I'm really excited about. But, you know, one of the things I never knew any different, I wanted to do it and I figured it out. And I think that, again, that's one of those things that I could have just told myself, like, nope, you can't do it. You don't have tricep, you don't have a lot. But I genuinely believe if you want something badly enough and you take the time to think, plan and put things into trial and error, you start to realize you can do a lot more than what the world conditions us to believe we're capable of. Mountain biking is just another example for me on many things that I've been able to break those boundaries and expectations. I see I go mountain biking. People are like, how do you do it? I'm like, how do you do it? I mean, you could you could explain to me with a fully abled body how you do it, but I wouldn't understand because that's not my experience.   Joe: Yeah, that's crazy. So, Blake, is your son Addisons, your beautiful redheaded little daughter? With what happened to you, do you believe that certain people on this earth are have the power to get through some of these things where I just think about what you've gone through? I think about even my own brother, who, when he was young, why they were there at my parents house, they were splitting wood with one of those hydraulic splitters. That goes really slow. Right. But the   Brian: Oh,   Joe: Log   Brian: Yeah.   Joe: Slipped and he had like these two fingers crushed   Brian: Yeah,   Joe: And   Brian: Yeah.   Joe: Then, you know, reconstructed but not usable in a sense. Then he lost his son at 21 years old in a car accident. And I think about this and I go, God, I. I am not I don't have the capacity to handle something like that. And I guess when it happens, it's different. Right? You figure it out. But I almost feel like certain people I don't know if they just they're born to be able to handle these things. And if this is more for the audience   Brian: Yeah.   Joe: That might hear this and go, oh, God, there's all of these things that come into people's lives that they're they're given to deal with whatever that might be. And is it just the chosen ones that can handle it? That's why they've it just doesn't make any sense to me. So that's.   Brian: Yeah, so. I really appreciate the direction your questions are going. By the way, I just have to compliment you on that. You're asking a depth of questions that don't often get contemplated. And I think that there's a lot of truth behind even what you said. You know, it's interesting if you even think about what you just said when you were talking about your brother, you say, I look at him and I'm not sure that I could have handled it. And the reason I pay attention to that is because that is what I truly believe in, how the world has viewed me, they have viewed my limits through their own lens of what they believe they're capable of. I don't think that people truly know what they're capable of until they're tested. And that can be done either intentionally or externally, right? Sometimes we get tested not by our choice. Clearly getting run over by a truck was not by my choice, but it was a test. And I could show my strength to myself into the world by how I stood back up and what I've now done with it. Why I say I have a unique story is it doesn't matter the trauma that I experienced because it's unique solely to me. The trauma that your brother experienced, the trauma that other people experience with divorce or loss of a loved one or financial despair or like you name it, we all have our own unique challenges that we face. And I don't care who you are, if you're still on this planet and you're still standing. You are a survivor. None of us get through this world unscathed.   Brian: None of us. Perspective allows us to really pay attention to what other people are going through, but what perspective is really doing is allowing us the opportunity to get in someone else's world to gain perspective, to apply to our own. So it's not necessarily about what each one of us are inherently able to handle. It's that I think we're all dealt a unique set of cards and it's how we play those cards that matter. So the thing about pain, and I'm just going to speak to that, because my experience was pain, your brother's experience was pain. He had physical pain, probably emotional and spiritual pain with the loss of two fingers and a deep emotional, mental, spiritual, and probably manifested as physical pain with the loss of his son. Pain, that's what it is. Now, pain can't be measured independent of the person experiencing it. But the one thing we know is that it's a universal human experience, we all experience pain. And so what's important is not to question can I or could I have handled that? But just to say I've handled everything that's ever been thrown my way and I'm still standing here today. So what that tells me is you're probably capable of handling a lot more than you thought you were capable of at a prior period in your life. And if something were to happen that's devastating, right in that moment, you have to choose, is this going to define me and keep me stuck or am I going to use this as fuel to who I'm capable of becoming because of what I've gone through? That's why I said earlier I learned not to get stuck by what's happened to me, but I get moved by what I can do with it.   Brian: I realize I have a gift not just in my own natural abilities and gifts and intuition and emotional intelligence and all the things. But this has given me perspective that I couldn't I couldn't have gained any other way. I can put myself in other people's shoes and know what it feels like to not be seen, to know what it feels like, to feel like nobody understands me, to know what it feels like, to have people question everything I'm capable of for my entire life, even if it has nothing to do with my physical ability, even if it's one hundred percent mental, one hundred percent job and application, they view me. As not capable of doing I know what that feels like and I've had to battle that my whole life, I don't know a single person on this planet who has never felt that way. We all feel that we all experience and it's real to each one of us uniquely so I know it's probably a lot longer of an answer than you were hoping for, but the depth of the question, I think, required that approach because it's not about what you believe you could handle based on other people's circumstances. It's about what you already have handled and what you're very capable of handling if you change the way you think and feel about what you're capable of, which, again, is typically limiting in our own belief system.   Joe: So because we're doing this recording and you and I have not talked about what we could talk about or what we couldn't talk about, I want to ask this and obviously I can always edit it out. And you   Brian: Free   Joe: Know   Brian: Game, buddy, go ahead, go ahead.   Joe: What? So when does someone say, like, did you ever have these dark moments? And this is not the part of the question that I'm going to ask. This is just in front of it. And you ever have a moment that you said, why me? Like, did you ever   Brian: Absolutely.   Joe: Ok?   Brian: Absolutely, and I have those moments still today when I get when I get hit with certain things. The reason I was able to shift out of that so quickly, I remember being seven years old and that was the first thing I remember when I woke up, one feeling like it was a dream. And then I was like in this hazy state of like what this altered reality felt like, it didn't feel real. And then it was probably a day or two before I really came to and was like awake, awake, not just like in that dazed awake. At least this is from memory, I don't know the exact timeline. This is just how I feel it. And I literally remember. That question. Weiming. What is the rest of my life going to look like, like this sucks. I felt sorry for myself. I was given the opportunity to snap out of that quickly because the uniqueness of my story drew a lot of attention to it and there was a lot of families in the ICU with us who were coming up to us saying, we're so sorry for what happened to you. This is so horrible. We can't believe how hard this must be for you as a family. Let us know whatever we can do to help. Just getting wrapped with love and support from strangers to strangers saved my life. Right. That's crazy to think about. A stranger went into action and saved my life. Had she not chosen to do that, I wouldn't be here.   Brian: So I don't take that lightly, but what's happening in the ICU with these families is we start to realize that these families that are giving us just unfiltered support. Are also questioning whether or not their kid is going to survive another 30 days from the terminal illness that they're in the ICU with. Only immediate threat to my life and not at that moment knowing whether or not I'd be able to use my arm. I knew I'd be alive and over the course of the next ten years, being with those kids and all of us who wanted to rally around this cause to help more people, to bring perspective, motivation, direction to an organization that helped us so holistically in a healing process, either physically, emotionally, spiritually, whatever. Right. I lost multiple of them to their terminal illnesses over the course of the next ten years. And so although I don't think about them every day, when I'm asked questions like that, it really centers me on grounds me because I'm here happy, healthy and productive, living a life that many would dream of. And those kids didn't have the opportunity to do so. And so I have to just know and honor that it was me for a lot of reasons, I might not know all those reasons in this lifetime, I believe I know a lot of them at this point, but I still ask that question. I mean, last week was an unbelievably challenging week for me.   Joe: I saw the story and, yeah, that's part of where,   Brian: Yeah,   Joe: You know, this   Brian: I mean,   Joe: Is   Brian: Last   Joe: Going.   Brian: Week   Joe: Yeah.   Brian: Was an unbelievably challenging week for me, for a variety of reasons. One was around this fabricated reality, around a date that in some ways is very significant, in other ways is not significant. But coincidentally or coincidentally, I got kicked in the stomach multiple times last week. And yet it didn't really totally faze me in a way that brought me down to the deepest, darkest moments, because every time I face those things, every time I start to ask the question, why me? It starts to reveal itself faster and faster the more I go through the pain. And and and so I now have this element of trust in surrender where the literally last week I was like, why do I always have this stuff happening? Why am I the one that has to deal with this? Literally? I mean, I said to my wife last week and then in the same breath, I'm like, I know why. And so for those that did ask that question still. I would just encourage you to recognize that there absolutely is a resum. Nothing happens by accident. You could call this my accident, but this was for a purpose, it wasn't on purpose, but it was for a purpose. And I realize that now more holistically than I have in my entire life, but it's the same thing for everybody else. I mean, I guarantee that your brother has learned from his experiences and having to adapt and do things with the loss of two fingers. He's had to learn and adapt. What does it mean to be a parent? And there's so many are out there who live on their lives without their child. Still a part of it. Parents aren't meant to outlive their kids.   Joe: Correct. What's   Brian: Right,   Joe: The what   Brian: And.   Joe: The worst car I could think of?   Brian: And by the way, there was this pending doom around this date last week that was connected to that for me, as well as from a parent's lens now. And the data is reference to a couple times I didn't I didn't say specifically on the show, but this last Saturday, March 6th, was the day that my son, who's my little clone, my little mini me, my my only boy and my oldest. Was the exact same age to the day that I was on the day of my injury. Twenty nine years separated. And. There was a lot to that most of what happened in the 10 days leading up to it had nothing to do with my son. But they were absolutely clarifying moments that needed to take place in that window. And Saturday was kind of a new start for me and a whole variety of ways, which was just unbelievably cleansing and freeing and purifying. And so even the questions last week, why me? Why does this always happen to me? Why do I have to be the one to do this? We're very clear. I know, and I think all of us do we just fight and we resist because it's not in alignment with what the world tells us. It's not in alignment with what the narrative is externally. Right. But it's not about being the victim. It's about recognizing that if we have ownership and accountability with everything we do, we recognize that there's always a reason, there's always a cause, and there's always a way through it if we desire it enough. That's when we start to become free.   Joe: Ok, so here's the the part where I want to talk about Blake and Addison really quickly, I don't want to stay because, you know, I know you're super productive, positive guy. And I don't want this episode to be like the Debbie Downer episode. But you went through a lot in your life up to this   Brian: Yeah,   Joe: Point. Right.   Brian: Yeah,   Joe: And   Brian: A lot.   Joe: Then, Blake, I remember you talking about this, so I'm only bringing this up because I think you've talked about   Brian: Yeah,   Joe: It and.   Brian: I've shared publicly on stuff, I'm sure I know where you're going,   Joe: Yeah,   Brian: But go ahead.   Joe: So so you said it is is on the spectrum, right, and so you there's an extra amount of attention that has to happen   Brian: Of course,   Joe: There. Right.   Brian: Of course.   Joe: So then you deal with that another moment where you said, why me? Like, I haven't I haven't. I gone through enough. Why me? Right. And then now you have yet a third time now with with Adderson with her here. Right. And I could be another time we go. What is it going to stop. Like why me. Right. I'm sure there's people out there that do not handle this anywhere near as well as you do. And I'm hoping your words of wisdom, if they run across this episode, that it will help them understand how you I mean, you can look at their beautiful faces and go, oh, it doesn't matter. You know, they're amazing. It just it's a it's a small little blip on the radar. But it's still some people can't even handle the bullet. So   Brian: They   Joe: That's,   Brian: Can't.   Joe: You   Brian: They   Joe: Know.   Brian: Can't. And by the way, there's a lot more depth and truth to that statement than than you probably even realized, I mean, to the point that when we found out about our daughter's hearing loss. The audiologist actually said to us she does have loss and she could benefit from hearing devices. And I paused and I said. She could benefit, like are you saying she needs hearing aids, like is her hearing profound enough that it's not like she would benefit? She she needs it to restore it to what we would expect are going to be? And she said, yeah. I said, why didn't you just say that? And she said, because most parents don't want to hear it. And she said that even when they do want to hear it, she said, because of the reports that we get when we plug in hearing aids, even if they go through the process of getting hearing aids, even if they go through the process of doing these things, she said. Most kids, the hearing aids live in a drawer. Because of some reason, right, that either the parents don't think it's important they're embarrassed by their kid or whatever, like there's a whole slew of things. You're exactly right. And in both those moments, by the way, when we found out about our son's diagnosis on the autism spectrum and we found out about our daughter.   Brian: It was it was challenging, right? It was absolutely challenging for both my wife and I and we both we both grieved in different ways. And why I choose the word grieve is any time we have a vision for our lives. And that reality that we've created gets stolen from us, we experience loss. We literally go through the grieving process, the multiple steps of grieving, sometimes it's anger that manifest first, sometimes it's just like absolute depression. But but recognize it for what it is like having something happen to your kid and realizing that they might have an altered future from what you always desired and hoped for them. You have to process that, but then once you process that and you start to realize like this doesn't define the kid, just like a mine accident didn't define me right. What this really does is it's a gift because what getting both of their diagnosis is as early as we did, what allows us to do is wrap them with services, wrap them with all the support they need to close the gap between whatever their diagnosis limits them from doing to what a typical kid might be capable of doing. It shortens that gap early in those foundational early development years so that it won't really ever hurt them.   Brian: Plus, the more that we talk about it not as an ailment, but just a part of who they are, right. It's no longer a label. It becomes a term of empowerment because they recognize that like they have superpowers as a result of what their diagnoses are. So the answer is yes. There's there was absolute grieving for both my wife and I, for both children. We're well beyond that at this point. But it hung with us for a while. And and there are still moments where the difficulty and complexity of our household that most people will never understand and ours is light compared to what some other people's situations are. Right. So we keep that in perspective, too. Is it harder than most parents and most households might have to be? We believe so, but it's not about like we have got it more difficult than what they have. It's just this is the cards were dealt, so we're going to play them as best we can for both of our kids. We know how lucky they are to have us. My wife is brilliant. My wife is brilliant and what she has done to allow our kids to feel authentically who they are in safe, despite all of these things, despite the fact that they know they're different in certain ways and honoring and cherishing, encouraging them to just make do the things that make their hearts happy and stand up for what is right and know that they're worthy of receiving love like exponentially.   Brian: And all these things, like my wife and I were partners, but our kids are lucky to have us at the counter to that is we also feel extremely privileged to have our kids because they have challenged me to go to depths of myself, my soul, my emotions that allow me to be more effective in the world. That had I not recognized those scenarios for what they were, which is we can handle them and let's figure out the plan forward. It probably would have made me feel stuck longer than it did. And so for those parents that are listening out there that might have kids like this or even if there's not a diagnosis, but you just have a challenging time or there's an injury or there's something like, again, nothing happens by accident. And so the only way through it is through it, and if you if you desire something on the other side, then you've got to go through and that's really what it comes down to.   Joe: Really powerful and I appreciate you sharing leading up to this interview, I wanted to talk about those things and I was just like, I know he's talked about it, but I I didn't know how to actually go after it and   Brian: You did it beautifully, my friend, it was   Joe: Think   Brian: Great.   Joe: I'm grateful that you shared. And so, OK, so now you and I know this is a big jump, but I just want to I know we   Brian: Yeah,   Joe: Have limited   Brian: No, let's go. We got it, yeah.   Joe: We have limited time and I don't and I want to get to where you are today. So then you get into the insurance business. Correct. So you're in that for you grew a company. I think it was from like.   Brian: Quarter million to 15 million over the span of a decade.   Joe: You just picked that that was just a career that you pick at one point and.   Brian: Yeah, you know what's funny, I saw depicted it sort of picked me up, I was my junior year in college, was deciding that I needed to go get an internship. And so I started looking at a whole bunch different places. And I actually ended up getting into insurance because my one of my childhood friends and my childhood girlfriend, in fact, that we grew up together. And a lot of ways I always had her parents were like second parents to me for a lot of years. And I always had a great lot of respect. But I always viewed her dad as this very successful man. But I knew nothing about what he did. And I reached out to him as a mentor, frankly, and just said, hey, I'm going out. I'm doing these interviews and I have these things. And I talked to my own parents and they're successful. They've done these things as well. But I wanted extra perspectives. And he ultimately was like, I'm going to pass on your resume to so-and-so. And if you don't get a call in three days, call me. I was like, OK, not a clue what it was. It was the only one that was in insurance. Right. Very, very amazing opportunity. And it just took off from there. And nobody grows up wanting to be an insurance, right? I mean, and if they do and if you're listening to this, I apologize if you always had a desire to be an insurance. I know there's some people who love it. I never loved it. It was a great vehicle for me. And it was a great testing ground for me to grow and develop who I was as a professional, who I was as a man. I kind of grew up in it, but yeah, no, I didn't seek out insurance. I kind of fell into it and it just it fit.   Joe: Right. So while you were there with your inner voice saying there's more out there for me, I want to do more, whatever it might be. I mean, how did you make the jump then when you left   Brian: Yeah.   Joe: There to now what you're doing, which is the coaching and the speaking and and the podcast. And I mean, I, I look at your website and I get tired just looking at all the all the different menus that I could take a look at stuff. And then I went into the podcast when I was like, wait, is he doing actually three podcasts? Like, how is he doing all this? So how did you decide how did you decide you were going to leave insurance and then pursue the Brian Bogot we know today?   Brian: Yes, so I'm going to start with the first question you asked, which was, did I always know? I knew for a long time I've always had this gut feeling that like there was something meaningful that I was meant to do. No idea what that meant. OK. And then I conditioned that out of myself, and when I first got out of college, it was like bright eyed and bushy tailed, I was going to go take over the world and make a ton of money. Right. I'm going I'm literally going to be running the company. I'm going to climb the corporate ladder. I mean, it was all external. And, you know, this is one of the things I talk about now is I chased the what like so many of us did. Right? I chased what house, what car, what amount of money, what amount of success, what image do I want to portray? What, what, what, what, what. And I lost the who along the way. And I woke up one day after having accomplished all the words that I ever desired, way earlier than I thought I would have, in a way bigger level than I ever thought I would. And I realized, like, what have I been doing all this for? The more money I made, the less I cared about money, the more I got into a successful career, the more I was like, why am I doing to myself? And then I'm running in circles with people making six, seven, eight figures who all were having high of success and they were all miserable to.   Brian: And so those were the turning turning point moments over the probably the last seven to eight years, maybe six, seven years, if I'm being real honest, because when I first started coaching, it was because I had my son and I always said that I'm going to do everything for the benefit of my family always. And I did. But then six months went by when my son like that and I realized I missed all of it except the first week because I was burning the candle at both ends, I was still living the life that I was to create this abundant amount of external success and validation that I needed to prove to myself I could do it and I never recalibrated my life. So part of providing everything for my family is with finances and security and opportunity and safety and all those things. But but but it's also love and leadership and presence and connection. And I don't want to be that guy that did everything for his family, then woke up twenty five years later and never had a relationship with any of them.   Brian: They decided that I didn't serve a role for them outside of money. It's not all about money. It never was all about money. And so it was the first in my life. I didn't have the people in my life, the mentors, the experience or the intellect myself to figure out how to fix it. So I hired my first coach. And he said to me, a month of working together, because you're going to be doing this, like, what are you talking about? He said you need to be coaching and speaking. So you've been on stages since you were seven because you've got a unique ability or a unique story and you have an ability that you're not afraid in front of groups. And he's like, you're all about building people and building businesses. Like you're always helping. You're always finding ways to level people up. You're always helping them connect dots. And I was like, yeah, whatever. I was like, I'm paying you a lot of money. Not that's how great I have to figure out this stuff. And I completely threw it out the window. And then it just kept trickling. It kept trickling in every single month for about nine months.   Brian: And then this crazy experience happened, which again, nothing happens by accident. But the universe gave me the sign that I needed, which was he told me what I needed to hear, not what I wanted to hear. And that's when I started to desire a little bit more and started to feel like maybe I wasn't in alignment. But I had to ask the question if I'm going to jump in being in coaching, is this complementary or conflicting to everything else I had because I was so significantly invested mentally, physically, emotionally and spiritually and monetarily. Right. In this other business that we built, that was the fruits of its labor were just starting to pay off. And it's like, let's let's make sure that we forge ahead on what we're doing here. So I started coaching and speaking and I did it alongside for about five years and then summer of twenty nineteen comes around. And again, I told you, I'm running in circles with people that are miserable. And I realized my relationship with my clients started shifting to more coaching relationships. We were placing multi million, hundreds of millions, tens of millions of dollars of insurance for people. And my conversations had nothing to do with insurance with the people that I was actually interacting   Joe: Right.   Brian: With at the C Suite.   Joe: Yeah.   Brian: Right. I was coaching them on how to be better people, how to be better leaders, how to change the culture of their business, think through and problem solve on things that really had nothing to do with insurance. But the insurance was how we were in the door. And so the more that started to migrate, we have this connection moment summer twenty nineteen with my wife and I. We go away for a weekend and it was one of those that like mentally, spiritually, physically and emotionally, like brother, like our souls were bonded like we were one and we're driving back to pick up our kids and she looks, everybody goes, how would you feel if you did have to go to the office on Monday morning? And I was like, that's a pretty loaded question.   Joe: No.   Brian: Why don't you tell me more? Well, I had some other I had some other health stuff that impacted me pretty significantly a few years back. I'm good now. It's all all squared away. But she said, I think you let some of this stuff allow fear to enter into your world in a way I've never seen you operate. She said, I feel like you've convinced yourself that we need the money, the status, the prestige, the security, the all of the above, what's been built. She said, I'm here to tell you we don't I don't care if we live in a cardboard box. What we need is one hundred percent of you. And she said, I don't know if you see it or not, but I see you dying a little bit inside every single day. You live in insurance. And and so she said, I think you're barely scraping the surface of your potential, nor do I think you have any impact on the world that you want. And then she said, you know, there's nobody on this planet I'd rather take a bet on than you. We took a big bet on you once and it paid off. Why don't we double down on that bet and see what you can do? And so, you know, this was one of those moments where I was flooded with fear, flooded with a whole bunch of emotions. And I had to spend three months really unpacking it with complete awareness, complete intentionality, understanding where my blocks were and ultimately came to the decision that I needed to embrace the pain of walking away from the easy button, from the sure thing, to avoid the suffering of not ever knowing what I could become or what I'd be capable of doing from an impact perspective.   Brian: So you fast forward to today and you know, I spent 10 months unpacking that business left at the time, the best year ever in that industry, the year I left and was simultaneously building the foundation for where we could go. And, you know, I'm not sure if I said it or not yet on this show. I think I did. Yeah, but but that's that's now where I'm so clear and convicted on this billion lives. I genuinely believe, like we've got an opportunity to to change the world and make people feel at a level that they've never felt and feel free. And so I know what that miserable, dark place looks like. I've spent a lot of my life in moments like that. No one deserves to feel that way, but a lot of people do. And right now, I feel more free, more fulfilled, happier and more like myself than I have in my entire life. Everybody deserves to feel how I'm feeling right now. And so when I started to get the curiosity, I didn't even lean into it. My wife pushed me. And she, along with my other coach, told me what I needed to hear, not what I wanted to hear, and it's not lost on me, the courage it took in my wife to take that leap of faith with me and give me the push knowing it could upset her entire lifestyle. And so that's what I had to honor because my kids are watching, I don't want my kids to see me do what I want my kids to see me do what's right.   Joe: Incredible. I love it, so your podcast, what are there, is there are there three, is that   Brian: You   Joe: Right   Brian: Know what, I actually   Joe: Or.   Brian: Don't even have my own yet,   Joe: Ok.   Brian: I I'm in the process of developing a few. What you've probably seen as I have Bogarts Bullets, which is a regular consistent thing, but and it's going to be repurposed into a podcast. But right now it's just on YouTube and it goes on all my social channels. We have a marriage hack's string that we've started that my wife and I, we've now done we've only done one episode, but we repurpose it into three. And then my content team and strategist's decided that there are a whole lot of thought leaders, influencers, speakers in the world that create intellectual content similar to what I have for years, Bogarts, bullets putting things out, podcasts, other pieces of content to get distributed. And then there's bloggers that are much more niche, but there's nobody that's doing both. And so he's like. If you talk about how you live, you talk about these philosophies, you talk about these guiding principles, these lessons, these things that you do. Why don't we pull the curtain back and show people behind the scenes that that's actually how you operate. And so those are the three things that you've probably found is bogus bullets, the marriage tax and then the No Limits blog. And all three of those, although they're not currently set up as podcasts, one of them will be repurposed that way. And then I'm actually in the process right now. I'll be a co-host on at least two podcasts. We're going to be launching here soon, likely three if this other concept takes off. The podcasting world has kind of changed my world in a lot of ways, in a way I never saw coming. And I've been on over one hundred and fifty other people shows in the last seven, eight months, and it's allowed me to have opportunities to meet people like you. Right. And the connection with Ken Joslyn and Steve Sams. Right. Which both were people that I was on their platforms, on their shows. Like it's allowed me to align myself with incredible individuals on this planet so that we can truly have collective impact. So those are the three shows that currently exist. But they're not podcast currently.   Joe: Got it. OK, so you have things coming up, I know that you're doing the Ken Joslin's   Brian: Yep,   Joe: Boot camp, right?   Brian: Yep, yep, I'm doing his boot camp in April, I've done two of his I've got some other speaking events coming up. And then we've also got a few things launching that I'm really excited about. So we're still doing all of our work with no limits university, which is really like the concepts and the philosophies to help people understand who they are, leading them on intrinsic journey. But we also have another entity in a movement that's called Who before what that's launching as we speak, which is really an attempt to help us change the language and narrative in society about putting more emphasis on what we do versus who we are. And it's not that one or both don't matter. It's that they both matter. But one needs to lead, which is who. And so we're going to change the narrative because it's this whole idea that you go to a networking event. And the first question everybody asks is, what do you do? And even if you asked who you are, like, tell me who you are. Ninety eight percent of people answer with what they do, not who they are.   Joe: So   Brian: Part of the   Joe: True.   Brian: Pain and suffering that exists on this planet, as so many people don't know who they are. And so a lot of the core of the work with everything we do with our coaching and the No Limits university and those things are all about that. But we're actually creating a specific movement to bring into conscious awareness this idea of who needs to be before what.   Joe: I love that is the university and the who before. What are they separate from your actual coaching piece   Brian: They're   Joe: That you   Brian: All   Joe: Do   Brian: There, it's all kind of integrated,   Joe: Ok?   Brian: So, yeah, my my I would say my one to one coaching is the only thing that's kind of outside of that umbrella. It all fits on the same coaching philosophies. But just with the people I work with one to one, it's it's just inherently different than the other structure that we have. But it's the same philosophies, what you'll know about me and a lot of what we do with the no limits you and everything is this idea that we truly have the ability, if we are aware enough and influential enough to build a life of alignment that can become self-regulating. So for me, I'm very clear on who I am. I'm very clear on where I'm headed. I'm very clear on the impact I want to have, as well as the hierarchy of importance in my life. Family being first. Right. After that, because I'm so clear, everything I do is in alignment with where I'm headed. So when you ask the question, are they all, yeah, they're integrated because they're all holistically apart and in alignment of where we're going to impact a billion lives. How those are translated look a little bit different. But they are all towards the same intent, which is to impact a billion lives.   Joe: So it's the YouTube channel, it's eventually some podcasts on their way. It's but no limits university. There's the Who before what portion of that? There's the coaching, which is one on one with you. Correct. Speaking engagements. When when? I mean, obviously, you still do it virtually, but you're actually going to be live at that bootcamp coming   Brian: Yep,   Joe: Up in   Brian: Yep.   Joe: April. So as that opens up again, I mean, when I watched you on the Growth Now summit, which I attended, your portion of, it was brilliant. I   Brian: Oh,   Joe: You   Brian: Thank   Joe: Know, I   Brian: You.   Joe: Just said, I mean, you're an amazing speaker.   Brian: Thank you.   Joe: You're just not talking to us. But you bring people in to the story.   Brian: Thank   Joe: And   Brian: You.   Joe: I just   Brian: Thank   Joe: Sat   Brian: You.   Joe: There and I was like, oh, this is unbelievable. Like, I would have paid thousands of dollars to   Brian: Thank   Joe: Watch.   Brian: You.   Joe: So it   Brian: Thank   Joe: Was amazing.   Brian: You.   Joe: Did I miss somewhere on your website? Because it's just so much on there. I can't figure out.   Brian: No,   Joe: But   Brian: You   Joe: Is   Brian: Didn't miss you didn't   Joe: It.   Brian: Miss anything. There's going to be new sections actually built on the website, Zoom. Let's put it this way. You listed a lo

The Best Advice Show
Drive-By Hugging with Brian

The Best Advice Show

Play Episode Listen Later Jan 26, 2021 3:56


Brian is a husband, father and hugger from the Midwest. To offer your own advice, call Zak @ 844-935-BEST ZAK: Brian is from the Midwest. He works in insurance. His daughter is grown now, but when she was a little kid. BRIAN: I noticed a funny thing. She was a pretty easy kid to raise but if she was ever upset or crying or cranky, hungry, tired...if you sat down on her level and just pulled her in for a little bit and if you'd feel her take a deep breath and she would just let go. And I thought, that's funny...Not yelling at her, not telling her to do anything. Just grab her and hold her a minute. When I would come home from work and I'd be exhausted somedays, getting home late and she'd run to the front-door and she'd hug me and I said that's a fake hug. That's a movie hug. Give me one of your real hugs and she would squeeze me as hard as she could and I would say, I can't breathe! And her response always was, try. BRIAN: But then I recently was reading about hugs and when you hug 20-seconds or more there's actually a hormone, oxytocin. It makes you let go. It lets rest. It lets you relax. And during this pandemic, I was always a person that was gone and traveled and I've been home a lot and I have a little of this feeling. And I saw my wife getting a little bit more anxiety too and we would occasionally, just, I'd pass her in the kitchen in between calls and I'd realize, hey, that's big hug opportunity. And I'd just reach out and grab her and at first she'd be surprised but she'd hug and then she'd try to walk away and I'd say, no, it's gotta be 20-seconds. That's when you really get the full effect. ZAK: Yeah. Do you have a name for these long hugs? BRIAN: I call them a drive-by hug. Because I almost pass her and then I turn around and say, whoa, I missed a chance for a hug there. ZAK: That's so sweet. Do you count to 20? BRIAN: I actually don't count but I do it by breaths. Cause I try to take deep breaths when I do it too. ZAK: Do you think it works on yourself if you do a self-hug? I'm thinking about folks who don't live with other people. BRIAN: You know, I think it does. ZAK: Can we try a 20-second self-hug? BRIAN: Yeah, let's do it. ZAK: I'll follow your breaths here. ZAK: Listener feel free to breathe and hug along with us at home. Extended Breaths..... ZAK: I feel better. What's not to like about that? I want to thank Brian for sharing this concept of the 20-second drive-by hug with me. I've been practicing at home. You've been listening to The Best Advice Show and I want to hear your advice. How are you getting by? Lemme know on the hotline at 844-935-BEST. That's 844-935-BEST. And here's an idea. I know we can hug anyone outside of our pod right now, but maybe sending them this episode would be a nice consolation. Thanks. Talk to you soon.

Marketing BS with Edward Nevraumont
Interview: Brian Watkins, Bulletproof 360, Part 2

Marketing BS with Edward Nevraumont

Play Episode Listen Later Jan 7, 2021 19:23


My guest today is Brian Watkins, former VP of eCommerce for Bulletproof 360, the diet and supplements company. This is Part 2 of the interview where we explore how he grew the Bulletproof business.This is the free edition of Marketing BS. Premium subscribers got access to part 1 of Brian's interview yesterday and twice the content every week.You can also listen to these interviews in your podcast player of choice: Apple, Sticher, TuneIn, Overcast , Spotify. Private Feed (for premium episodes).This interview is sponsored by GoToWebinar:Save up to 23% on GoToWebinar Annual Plans!GoToWebinar eliminates the headache and hassle from webinar hosting. No matter your goal or skill level, you'll quickly see why so many choose GoToWebinar for easy virtual event management, performance data, videos, polls, and email invites and reminders. Try GoToWebinar for free today!TranscriptEdward: This is part two of my interview with Brian Watkins. Today, we're going to dive into his experience as head of ecommerce at Bulletproof 360.Brian, can you start by explaining what Bulletproof does?Brian: Bulletproof is a health and wellness brand started by Dave Asprey about six or seven years ago now with the goal of radically improving your own life. What Bulletproof does is basically develop a line of supplements, protein powders, MCT oils, and just a variety of healthy intakes primarily driven around the ketogenic diet. But it resolves, at the end of the day, around the Bulletproof diet, which Dave Asprey created with the idea that by bringing in healthy food into your system you can have better energy, gut health, and mental performance.Edward: What are the main products that Bulletproof sells that drive the majority of its revenue?Brian: There are six main product lines. There's MCT oil, which is modified coconut oil, which is a high fat, low carb, zero carb enhancer for food and diet. There's a supplement business so vitamins and other items that you can take for mental clarity, energy, and immunity. There's protein bars, protein powders, ready-to-drink coffee, and packaged coffee. Those are the six main product lines that are offered to incorporate different parts of the Bulletproof diet throughout your day.Edward: That's a pretty wide variety. It's practically a packaged-goods firm. Are some of those more important than others, or they're all fairly evenly divided?Brian: Back in the day, when it first started, Bulletproof is highly focused on the biohacker. There's a lot around what MCT oil was, and Bulletproof truly developed that category in time. But then also the supplement of a collagen protein regime and then also supplements created with the biohacker community was focused on and looked for.As the company has grown, we've grown beyond what a biohacker is to help maximizers—people that just care or are naturally invested in their health. A lot of this runs back to my days of considered purchases within jewelry because if you're going to be consuming something that you want to know about, there's a little bit more research and a little bit more pause. It made sense as we shifted from biohacking to broader consumer goods, how could we bring education in the consumers along in that process?Edward: Initially, your customers were primarily people who knew your founder, who read his books and were bought into his philosophy rather than his products?Brian: Dave started by blogging (more than anything else) about his own personal journey with food, and energy, and health. He ended up using content in building this foundation and then starting to provide very simple rudimentary products they wanted just falling because they were asking for. Dave, can you get us this? Can you show us this? Can you provide this for us? That then developed into what we know today. As you go down, it ships because what you had day one was a highly knowledgeable person making these purchases. Fast forward today, Bulletproofs at Whole Foods, and Walmart, and Target and it changes the overall value proposition of how you communicate the brand, the brand values, and also what it can do for you in terms of performance onto a single package as you're walking down the shelf.Edward: How do you do that, beyond the fact that he has built a reputation for himself and has a blog and has a book? How do you broaden the awareness and consideration for Bulletproof beyond that core audience?Brian: There's a couple of things. This is what brought me to the company is the product's work. One, people are making these purchases and then coming back like, wow, I can feel a difference. You start with just a very basic repeat-and-referral. You're developing these core pockets of influencers that are starting to communicate out. From that, you can build a foundation.When I think about Bulletproof, especially on the digital acquisition side, we started from the bottom of the funnel and moved up. We were very focused on repeat-and-referral businesses building our email communication and our content. What we did unique about the content is we didn't just spend time talking about the Bulletproof diet, ketogenic diets, or about these products. We went back and said, what are the things we're trying to solve? Are you having a problem with sleep? Are you having a problem with your energy? Are you having midafternoon crashes?What we would do is create content that was more solution-oriented. What that allowed us to do is move up the funnel and get highly qualified prospecting traffic to our brand where they weren't aware of the brand, but they were aware of their issue. We were able to provide a solution both in content and also product recommendations that would help expand that group over time.Edward: I often think of many products as being either Tylenol or vitamins. Either they're solving a specific problem, or they're making your life better in a way that you weren't even aware that you needed. It sounds like Bulletproof started, hey, we make your life better in a way you didn't know you needed and then shifted to be, no, we can solve these specific problems. Were you doing search marketing for people searching for how do I improve my sleep?Brian: We did some of that—this goes back to analytics [...]. We would take all the search marketing information, all the keyword information. You'd also be using the Google search webmaster information to understand keyword volume. If you think about a three-dimensional Rubik, you could understand where's the keyword traffic coming from, what issues are out there.We can then overlay that with the Bulletproof product line, which product lines are doing immunity versus health versus energy versus sleep. Then you could understand the phase of that consumer either based on their search queries—have they already been to the website or whatnot—within this very dimension. Then you have a consumer journey you can communicate to. Is this a prospecting visit, is this a repeat purchase, or is it the subscriber that might be thinking about unsubscribing? You can tailor these journeys to each of these consumers, and we used it across three channels at all times. You had the digital side for sure. Out there, either Facebook look-alikes or Facebook prospecting and Google-branded terms and non-branded terms, depending on what the ROI was. But then we also integrated that very tightly into look-alikes and [...] within Facebook, and then we also did physical mail as well—direct mail. With that, we were touching people across multiple communication channels with their need-solution in mind. That's what helped to elevate the awareness of the brand.Edward: How did you target with direct mail? Was it broad-based, or did you have the equivalent of look-alikes on your direct mail?Brian: We started by focusing on just our existing consumer. Step one was saying look, we know—from our email database—how many of our physical mail addresses have been purchasing or moved to inactive. We started by doing very basic inactive work, which is, hey, we haven't seen you in three months. We've sent you a ton of emails. You haven't opened them, so we're going to send you a physical email. We'll give you a small offer to see if we can get you to re-engage on our website.Edward: How did you know those people hadn't switched to buying at Whole Foods?Brian: We don't, technically. We don't have a single source to a thread online and offline consumer consumption. But what we found is that it's an issue around convenience. If people would typically have shifted to one medium or the other, if they like that, it doesn't matter what we're trying to communicate with them. It's not going to happen. How we thought about our value proposition fell into four lines across all of our channels. The first one was the price. We made sure that Bulletproof maintained the same price. If you're going to buy something at Whole Foods, Walmart, or online, you'd find within 5% or 10% depending on the pricing strategies of certain retailers, but the price would be the same. It definitely was online. The second thing was product selection. Whole Foods was only going to offer two or three items within a protein powder versus online, where we offer the entire assortment. You had a different set of selection. Convenience, nothing could beat that up. You're already at Whole Foods checking out and you're buying that. We can't win on that.Ecommerce convenience is around shopping at home, delivery from home. If you have Amazon, you could have fasted delivery. Then you're left with the brand experience. It's a long way of saying that we knew consumers for passing back and forth between channels. They weren't necessarily passing back and forth because of price. Even by incentivizing some of the 10% coupon or 20% coupon, we typically found they stayed in the channel that they wanted to be in versus having people optimize between channels overtime.Edward: When you found someone who had dropped out of your online purchase channel and you sent a direct mail to them, the assumption was they dropped out of the online channel. They hadn't switched to Whole Foods, they just dropped out completely. I assume you ran a test and control. You held back some people, sent direct mail to others, and saw whether the reactivation made sense in the long run.Brian: Exactly right. What we found is it absolutely did. It had almost a 2X improvement with our test sample size, and we do this for 3-, 6-, 9-, 12-month lapse customers so we could track and see their interaction over time. The other thing you can do is you can go back through and see—if you're using Amazon or whatnot—you can also start to mirror in your shipping addresses across multiple platforms as well. Those other ways to consider overtime, narrow that list of who is inactive versus who is just maybe moved on to a secondary channel.Edward: Talk to me about the Amazon channel. How did you work with Amazon?Brian: You got to love them in Seattle, and there's no doubt they're highly successful. But it's hard to be a brand on Amazon—I say that cautiously. At Bulletproof, we ran a 3P relationship. That means that we were managing our own data on our own pricing within the Amazon ecosystem, and that was important to us because it goes back to this, we wanted to have consistent pricing. We didn't want people to figure out or feel like there is differentiated pricing between our channels. We've grown to be one of the largest 3P sellers within Amazon. We use FBA, fulfilled by Amazon. We ship our product to Amazon, Amazon executes, and ships our product out to the consumer. But what's hard is that when you're in that Amazon ecosystem, you get two types of buyers. One is, you have people who are very brand loyal. It's just more convenient. To be on Amazon, you're going to get it in two days, you can add it to a broader order. Some of their subscription tools are just cleaner. You have brand loyalists that are already on Amazon that have a great LTV, and then you have this group there just discovering.What's hard about that is how do you stay top of mind in your Amazon search results. Because unless you have a brand recall, there are so many places within a page for Amazon to compete against you, either from their own brands or their 1P brands, which are brands that they're buying the merchandise for and selling on behalf of the other brand, or just other product placements and advertising. You're constantly trying to work that piece of it.And then you have to respect part 3 of that is there's a lot of data that shows if you look at where Amazon searches occur—and I don't have this data but Amazon does—but if you were to geolocate people as they are on an Amazon app, what you'll find is there's a lot of people shopping in an aisle at Target, pulling up an Amazon search result. Not because they plan to buy on Amazon or check the price, but because they're looking at the reviews. They're looking for a clean way to know what is the best product to look on the shelf of Target. They're not going to target.com. They go to Amazon because that's a large market. You also have to plan that to create credibility in some of your offline channels as well.Edward: You need the reviews on Amazon in order to drive conversion rates in other places. Is that just an assumption or do you have any data to make sure that's actually happening?Brian: There's a decent amount of research that shows that that is occurring. We never did. I'd have to think through it a little bit more, but I don't think we ever did a tremendous amount. We never plotted our review rates on Amazon to our conversion rates across channels or our adoption rates across channels. In general, if we found that we had a lower product rating in general on Amazon, that was a weaker product across our entire assortment. Is that just because it was a weaker product, to begin with, or was it an Amazon umbrella effect? We don't know. But when you talk to a lot of people working within Amazon advertising within the VC community for CPG goods, they do talk about this additional conversion effect, where Amazon advertising now is lifting overall conversion across a lot of channels outside of just Amazon.Edward: Amazon is definitely a distribution channel for you, people who are looking for Amazon and the review factor. Would you find that it was effective at all for discovery?Brian: It is if you're willing to make that investment. The question there goes into the efficiency of that listing and how are you going to get promoted. The key thing within Amazon is to be on the first page. If we're not doing branded keyword searches, but you're just typing in protein powder. The first question is, are you on that front page? Because if you're on that front page, you need to pay to make sure you're on that front page. If you're on that front page, the question is, are you getting the right traffic, the right keywords, and the organic lift you want to have? That's the key thing to brand awareness or prospecting marketing. When you go out and bid on the keywords of protein powder, it is so highly efficient out there that it goes back to the days of Google where it's probably break-even at best. Then you have to have that following and understanding which says, a first-time protein buyer on Amazon, what's the likelihood they will rebuy your brand on the second purchase? What you'll find is there are certain categories because what we've got at Bulletproof is you research that there are certain categories in certain product lines to have a high propensity of repeat and branded options. Those are the areas where we would spend exponential dollars in or incremental dollars in to promote those products. These just aren't going to be Amazon products that we can do profitably, so we leave that as a distribution solution to our loyal brand followers, but we're not going to use that for prospecting within that ecosystem.Edward: Did you use any of Amazon's display network stuff or only on their merchandising, only on their core search results?Brian: We did display as well. When you think about Amazon display, we viewed it as there are three different ways to apply it. Once again, I'll go back to the marketing funnel in reverse order which is, you could do display advertising around the realm of loyalty.Which one of the benefits of selling supplements is I know that there are 30 capsules in that bottle, which means in about 30 days you need to repeat order. What we do is we run loyalty display campaigns to go re-find those consumers if they had not already placed an order to date.Edward: You are using retargeting, not so much like look-alike audiences.Brian: On a delayed basis, retargeting. That would be one channel. The second channel would be straight retargeting right after they first did their search. That's remarketing. They've probably already seen our results once, chase them down for the next three days, don't know if they've made a purchase or not, make sure that they know about Bulletproof, and then the final one is that prospecting look-alike.What's the benefit of what Amazon does there in their display network is they have a tremendous amount of sub-genres and look-alikes, and so you can use that to mirror it over time. The hard part about Amazon display—and they definitely heard it a lot from us—is that they like to report out on view-based conversions.One of the difficulties with the display is trying to understand the role of view-based, which might make sense at the prospecting level. But it sure doesn't make sense when you get down to this reactivation loyalty level because you only want to spend that if you know it's driving an incremental unique conversion. It has to get down to that click-through because I already know they're converting. I need to know if that display ad drove that conversion or we got them from some other means, and that makes the data very difficult in those situations.Edward: I'd imagine that if you're retargeting, so many of those people are going to come back and buy from you anyway. If you're going to give them credit to anyone who sees the view, effectively, you're just stealing all this attribution you would have had anyway.Brian: There'd be a lot of meetings where they'd come and be like, oh my gosh, you should triple your display budget. It's going incredibly well. I can't take any of that money to the bank because those conversions were happening at a consumer level, but we couldn't attribute back to that channel. That's such a critical piece to this when you get down to the lowest part of the funnel is understanding what role that final conversion piece is. We wanted to use Amazon display more and more for loyalty and for cart abandonment, but we couldn't effectively always deploy it in a way and therefore, it's left in middle effectiveness in terms of a channel.Edward: Let's talk about your physical distribution and retail. How do you drive more sales there? Is it the same thing, hey, get on end carts and do lots of demos?Brian: Yeah. That's one more like, yeah, you should talk to our retail and brand group. Edward: Fair enough because you were only doing ecommerce.Brian: I was only doing ecommerce. I'll tell you two things. One is that it goes back to the days of Ritani, they play off of each other. There's something to be said that when you move your product into Whole Foods, Sprouts, Walmart, or Target and people see it, that's going to help grow the overall awareness of the brand. There's no doubt. The flip side is when we're doing the right things online and we're getting our information out there and we're showing it to people, that's going to help the in-store as well. What we would do a lot of times in store—which goes back to being an ecommerce person, where you can track that transaction, you can track that conversion so much easier—is you find things like we would do in-store demos. It's just really hard to understand. By the time you put a demo team in there—are they a product expert and people are trying it—and then you look at that store lift both that day and then 30, 60, or 90 days later, I'm not convinced that in-store demos truly drive a real change. I think the retailers love it because it's a value add to their consumers walking the aisles pre-COVID, but I'm not sure the economic proposition is there.Edward: Is it the equivalent of a view-through conversion?Brian: Yeah, in my mind it is. It absolutely is. Maybe that's why I don't end up helping out on the in-store marketing is because it's harder for me to quantify that next dollar. I feel confident when I say, hey, I'm going to put a dollar into this channel. I have a 90% degree of certainty I'm going to return X% back, be it two-time, three-time, or four-time [...].When I do an in-store demo or when I do high-level brand impressions and campaigns, I'm told, in 3-6 months, what we hope to see is a lift of X%, and that's important at some point. I always joke around like I appreciate the people of Budweiser when they run the six Super Bowl ads because I think they're hilarious. But as a marketer, I would have such a hard time trying to justify that sixth spin because I couldn't quantitatively put it back into where that sale occurs based on that investment.Edward: Brian, this has been fantastic today. Before we go, tell me about your quake book and how it changed the way you think about the world.Brian: I'll give you two because they are the very far extremes of book reading. One, I'm a huge Dr. Seuss fan. Maybe I created the lowest bar ever for Marketing BS. But Oh, the Places You'll Go! is an outstanding book to create perspective around one's journey. especially if you've ever done a day-one startup or gone through really hard career items. That book summarizes what it feels like and the highs and the lows. The other one that comes around with management is—Gallup produced a book several years ago called 12. It's around the 12 questions of employee engagement. That was a game-changer for me because when you influence people, you have three ways to influence them. You have role power. Being a previous CEO or head of the department, you walk around with this red neon light that says, I can fire you. It turns out people are going to laugh at your jokes and they're going to do what you say you do. That's role power.You can also have expertise power where you can walk in, and because you've done this for so long or you know the patterns better, the people are going to follow you because you've done it and you have this understanding that they don't have.But the real power is around relationship power. The book of 12 talks about highly engaged teams and how do you create engage-core forces over time. It all goes back to a high EQ and emotional understanding of teams. When I finally realized that and understood how to develop teams like that, it's just been a complete game-changer to how I look at my career and how I managed teams going forward.Edward: Brian, thank you so much for being here. This has been fantastic.Brian: Thank you so much. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit marketingbs.substack.com

Houston Business Growth Podcast
How To Achieve Greater Business Results, Scale Your Business More Effectively, & Build An Envious Corporate Culture Along The Way

Houston Business Growth Podcast

Play Episode Listen Later Oct 26, 2020 26:09


Houston Business Growth Podcast Episode 3: How To Achieve Greater Business Results, Scale Your Business More Effectively, & Build An Envious Corporate Culture Along The Way _____________________________________________ Host: Brian Webb Guest: Anthony Coppedge _____________________________________________ Description: LISTEN TODAY, as the host, Brian Webb, along with our guest, Anthony Coppedge, walk you through How To Achieve Greater Business Results, Scale Your Business More Effectively,  and Build An Envious Corporate Culture Along The Way.  Anthony is based out of Fort Worth, Texas where he leads the Agile Transformation for Digital Sales at IBM. He's held leadership roles at Fortune 100 enterprises and sub-$20 million revenue software startups. He's been applying the values and principles of Agile since 2009 and is literally one of a handful of early leaders in the Agile Sales and Marketing space worldwide. _____________________________________________ Helpful Links: The Age Of Agile by Stephen Denning Mastering Marketing Agility by Andrea Fryrear _____________________________________________   Podcast Sponsored By: SERVPRO® Disaster Recovery Team Houston Find and Follow our Sponsor, SERVPRO® Disaster Recovery Team Houston Web: www.disasterrecoveryteamhouston.com Linkedin: https://www.linkedin.com/company/servpro-disaster-recovery-team-houston/ Facebook: https://www.facebook.com/SERVPRO9734 Intro Video:  https://youtu.be/YH1GXKrRUTU  _____________________________________________ Connect w/ Brian Webb Web: https://cmo.webbmarketing.solutions/ Linkedin: https://www.linkedin.com/in/thebrianwebb/ Facebook: https://www.facebook.com/thebrianwebb Instagram: https://www.instagram.com/brianwebb/ _____________________________________________ Connect w/ Anthony Coppedge Linkedin: https://linkedin.com/in/anthonycoppedge _____________________________________________ Click on this link for a full transcript of the podcast. _____________________________________________   Like what you hear? Want to Subscribe? Connect with Houston Business Growth Podcast on Apple Podcasts - Subscribe and leave us a review. Your participation helps us grow and reach more business owners and leaders just like you. _____________________________________________   Transcript: Brian Webb: Hey there, everyone. Welcome to the Houston Business Growth podcast. I'm your host, Brian Webb. This podcast is designed for entrepreneurs just like you that want to grow your business faster and make better decisions with fewer regrets. We're here to help you grow by bringing you tools, tips, and tricks, along with success stories and industry expert interviews that will help you to grow your business and your team while helping you to avoid the pitfalls and mistakes that cost you so much money and wasted time. So with no further ado, let's jump into today's episode.   Brian Webb: I am thrilled to death to have my good friend, long-time friend, Anthony Coppedge on the Houston Business Growth podcast today. I've known Anthony for about 25 plus years. And today's title is called, how to achieve greater business results, scale your business more effectively, and build an envious corporate culture along the way. Anthony, for those in our audience who don't know who you are and what you do, why don't you take a moment, introduce yourself.   Anthony Coppedge: I'm just this guy, you know?   Brian Webb: Yeah.   Anthony Coppedge: So I've known you so long. For those who don't know me, I am an [Agile 00:01:20] transformation lead at IBM, where I drive the transformation to agility, business agility, for digital sales. And so my background is in marketing, sales, entrepreneurship, business ownership, obviously, and software as a service business, as well as mom and pop and enterprise. So I have a pretty diverse background and I try to bring it all to bear.   Brian Webb: Awesome. Awesome. So I know you're going to be talking about what we've kind of named the title, how to achieve greater business results and scale, and build an amazing culture. I know that you're going to be talking to us about Agile. Why don't you tell our listeners exactly what Agile is, just to get us started today?   Anthony Coppedge: Sure. Well, we all know that the adjective to describe something agile would be nimble or flexible, or to be able to iterate or change quickly. And that really is the heart of it, the lowercase A. But when people talk about upper case A Agile, what they're talking about is a movement that started in 2001 when they said, there has got to be a better way to deliver software. And so it started there, where they would look at things like ... Brian, I know we're both old enough, do you remember Windows 95?   Brian Webb: I do.   Anthony Coppedge: What was after Windows 95? What was the next OS they released?   Brian Webb: Wasn't it 98?   Anthony Coppedge: It was 98. And then after that, what was it?   Brian Webb: 2000?   Anthony Coppedge: Yep. And then after that XP.   Brian Webb: I'm being tested.   Anthony Coppedge: Did you notice that it took years to roll out a new piece of software back then?   Brian Webb: Yeah. Yeah, yeah, yeah.   Anthony Coppedge: So that's what these guys were up against. It took years. So they would have these beautiful Gantt charts that would describe all the dependencies and what it would take to make something. And it was always precisely wrong. I like Gantt charts for one reason only. I love the whooshing sound they make as the deadlines fly by. Because they're always precisely wrong.   Anthony Coppedge: So this group of leaders met and said, there's got to be a better way. And they wrote a manifesto and said, what if we just had a way to chunk that up into small bite-size bits, and rather than figure out everything up front, we figure it out as we go. And so that's the idea behind Agile.   Anthony Coppedge: It has since been applied to project management, human relations operations, to marketing, and now of course I'm leading it for sales. So Agile is a way of working, a new way of working which brings people together to where we're better together than apart. And we learn, test, and validate very, very quickly so that we deliver higher value at scale.   Brian Webb: I know that transforming a culture sounds dynamic, not static. What are some ways that entrepreneurs can encourage this kind of cultural transformation?   Anthony Coppedge: Well, first you have to be able to know your why. So, so many businesses think their why is profit. No, that's a by-product, right? If you deliver phenomenal value in whatever you do, you're going to make money if you there's an appetite for it, right? So if you think of the Venn diagram of, what are you great at, what does the world need, and can you get paid for it? Right in the middle of that is this ideal way of saying that's the offering you should have. Well, every business needs to be able to clearly articulate what that is. We exist for the purpose of, and we know we're successful when, and we will do these things to align our work, our efforts, our actions, and attitudes, to make sure that happens.   Anthony Coppedge: So for an entrepreneur, you wear all the hats, right? Chief cook and bottle washer. But when you're thinking about growing your business you have to think about the clarity you have of where you want to go, not the outputs you want to achieve, but the outcome of being in business and make that visible, transparent, shareable, and easily transferable to everybody else in the organization.   Brian Webb: That makes sense.   Anthony Coppedge: And that's the key to building the culture you want. The best way to invent your future is not to look at your past. The best way to invent your future is your future.   Anthony Coppedge: So we want to think of it, not like maps go, but more like GPS. Now for those over 25 in the room, you know what I'm talking about, but there was a day when I was in sales, where you would have a binder of maps. And if I wanted to follow this road in Houston, from the Northside to the Southside, I would, when I get to the edge of the map it'd say, turn to page 37, then I flipped to page 37. There's the rest of that map. And then, okay, turn to page 45. And then that's how you were able to navigate and take a portable map with you. And what I would do, Brian, like any entrepreneur, I would find the most efficient ways to get from client to client, from location, location. And I would know those. And so I'd highlight them in. So I was determining routes.   Anthony Coppedge: Well with GPS, we have dynamic real-time information, mostly from other cell phones. And if it sees that on I-45, that there are no cell phones moving, that's probably a traffic jam. And so it's going to try to route you around that. So GPS is more interested in the destination than the route. And as entrepreneurs, we need to be far more interested in the destination than the route.   Anthony Coppedge: We don't need to tell people how to get somewhere. We need to make sure they have the tools, the competence, and the clarity to know that we're going to support them as they discover the best ways to get there because they're closer to it than we are. And we need to trust them with the ability to take our business and add that value to clients. So we delegate not just responsibility, but we delegate authority. What we're trying to do is build out a culture that says it's built on respect, openness, courage, empathy, trust. And these are very, very difficult things for someone who's used to doing it all and controlling it all, because Agile is the antithesis of control.   Brian Webb: Wow. That's a mouthful. So let me ask you this. So Peter Drucker once said, culture eats strategy for breakfast. In today's radically different world, especially during and after COVID, what's the difference between employee management today compared to even just a year ago?   Anthony Coppedge: Well, it's hugely different. And I think everybody listening to this podcast would already have experienced what that feels like. But if we were trying to put some labels on it and describe it, it would be chaotic, uncertain.   Anthony Coppedge: So how do you know if your people are have what they need to get the job done? How do you know, not just what are they working on, but are they getting the right results? How do you know what the process is that needed to be identified? How do we have better communication so that people don't feel like they're on an island inside their homes as they work from home?   Anthony Coppedge: And we've all had to address this, IBM too. And so one of the things what's been helpful is, Agile focuses on building a communication centric organization. So we're real big on visualizing and communicating about where we are, where we're going, and what's in the way. And so, because we do that regularly, daily, it's small little increments of check-ins, not to inspect, but to understand that give us the ability to pivot, test, and move quickly, so that our reps, even though if they're working from home, still feel like they are a part of something bigger and they still have the benefit of the largess of the organization, their peers, and their management to help support them.   Anthony Coppedge: So you don't have to see somebody working. You're looking for the fruit of that work. And anything that's not showing up, you're asking why, not what. There's the heart of really being a great manager inside an Agile organization. And in fact, Brian, I would say that traditional management looks at task management, activity metrics, quota attainment, as the way they understand quote unquote success. But what I would say, with Agile, we would look at it and say, how can I help you get what you need and what's in your way?   Anthony Coppedge: And so in Agile management, I don't want to inspect, I want to understand. In Agile management, I don't want to have activity metrics, I want to have outcome results. And I want to understand, are we delivering value, not, are we delivering stuff?   Anthony Coppedge: One of the easiest ways to see this is, look at the activities that someone says, yeah, I did all of these things and yet the business isn't moving forward. Pick an area in your business where you see that. And there likely is one. There's usually at least one person, larger companies are going to see it more common, where they're doing all the things, but the results aren't happening. Well, we shouldn't say, shame on you for not working hard enough. We should look at ourselves and say, shame on us for not trying to understand why that is. Because if I can understand that in COVID, people aren't answering the phones like they used to. They're literally not at the office. But they are responding to email. They're on LinkedIn. They are responding, but they're just doing it in a different channel. So having an activity quote of, did you make 50 calls a day? Well, that might be the wrong thing. But because we want to have busy-ness as an activity metric for success, we're having them actually be incredibly efficient at doing all the wrong things. That's not success. So we want to find new ways of doing that. And management in Agile is more about helping you with your career advancement and getting stuff out of your way. And that's it.   Brian Webb: So let me ask you this, when you're talking about metrics, what's important for Agile to measure? Or what kind of key performance indicators are focused on in an Agile organization?   Anthony Coppedge: Yeah. So you want to, first of all, visualize your mission, your vision, and your objectives. So I'm a big fan of OKRs or, objectives and key results. And the idea is to say, if we're supposed to be about this, then what are the things that we're going to focus on to get there? And let's go validate and see how that works.   Anthony Coppedge: So what you do is you empower people to be self-directed. And the measurements you look at are less about activity and more about outcomes. So there is both a sense of lagging indicators that you could check into to look for things based on the kind of business you have, that would be helpful to understand. But the more important question is to ask, why is that?   Anthony Coppedge: For example, it's not uncommon in the world of sales and marketing for people to be very busy looking at the click throughs and the open rates of things. But that's like true, but irrelevant, right? Because if they don't actually do something, I don't care how many people open my email. I don't care how many people click on my Facebook bot if it doesn't lead to something, right? I can have a false positive that shows, sure, I get lots of activity, but does it ever go anywhere? Well, then it's not success.   Anthony Coppedge: I once had a sales rep, a young sales rep say to me, "Hey, check it out, man. I got my stuff moved over this week and I'm visualizing my work and I made 400 calls this week and I made 400 calls the week before." And I said, "Great, how many leads did you get?" And he's like, "Well, none, but I made 400 calls." I'm like, that's not success, right? We actually are not paying you to make phone calls. What we're paying you to do is get results. That'll usually include phone calls, but I'm less interested in measuring the activity and more interested in understanding what's working, what's not, and where are you in that understanding continuum, so that I can train you if you need more training or I can demonstrate to you how to do something more efficiently, or you can show me our process is messed up, we're out of alignment, but this is where we are.   Brian Webb: We'll get back to today's episode in just a moment, but first, a quick word from our sponsor. Today's episode is brought to you by Team Meacham at SERVPRO's Disaster Recovery Team Houston.   Brian Webb: Whether you know it or not, your business needs an emergency response plan. We see it on the news all the time. Another business owner who experiences tragic loss due to fire, or extreme storms like hurricanes, or flooding. And we all hope it will never happen to us. But research shows that up to 50% of all businesses shut down after a major disaster. And if the property damage isn't bad enough, the business downtime and loss in revenue only makes it worse.   Brian Webb: So should your business be devastated from a fire, flood, or storm damage, how do you minimize the downtime and frustration of getting back to normal as soon as possible? Here's the answer. You need an emergency response plan.   Brian Webb: How do you achieve this? It's easy and it's free. Once you reach out to SERVPRO's Disaster Recovery Team Houston, one of their ERP specialists will set up a time to meet with you or someone from your team. When the specialist shows up, they will walk through your facility with you and make a concise profile document for your business outlining all of the critical information like, where the electric, water, and gas shutoff valves are located, along with the priority areas of your business and the primary points of contact. Wouldn't you prefer that when someone does show up to assist you in a time of crisis, that they already know what to do, where to go, whom to call, and how to get started? Of course you would.   Brian Webb: Additionally, imagine getting VIP service like three hour priority response time when you call. And the work begins on arrival to bring your business back to normal as quickly as possible. Before the SERVPRO Disaster Recovery Team Houston even shows up, they already have photos of your facility, they know where to park, and exactly who they should be dealing with.   Brian Webb: And guess what? It's free. No contracts, no catch.   Brian Webb: You really need to get this taken care of today. You want to be prepared in the event your business does experience fire, water, or severe storm damage. To make this happen. Simply call the SERVPRO Disaster Recovery Team Houston office at (281)-419-9796. Or even easier, simply text ERP to (832)-713-6881, and one of their specialists will reach out to you right away.   Brian Webb: We hope that you never experience a disaster that adversely affects your business. But if you do, don't you deserve to know that you can worry less by knowing that you're in the best hands possible? Of course you do.   Brian Webb: Again, call (281)-419-9796, or simply text the letters ERP to (832)-713-6881. You'll be so glad you did.   Brian Webb: So I have a question. I was once taught the principle of the BAT. And BAT is an acrostic. B stands for behavior, A stands for attitude, and T stands for technique. Behavior, in this particular scenario that we're talking about would be making calls, right? Attitude is, if you don't have the right attitude about three things, one, yourself, two, your organization, and three, the products or services that you sell, you're probably going to suffer. And then technique is obviously just getting better and better.   Brian Webb: So I would imagine the entrepreneurs and business leaders listening to this episode will agree that at the end of the day, especially the business owners, one thing that they care the most about is, how many leads did you close? How did you drive revenue? At the same time, I know that doing the right behaviors is usually the best way to predict the outcomes you want to achieve. How do you weigh those two important variables in Agile?   Anthony Coppedge: That's a tension to manage, that's not a problem to solve.   Brian Webb: That make sense.   Anthony Coppedge: Right? So COVID, right? We're all still in this right now. And so one of the things I've heard from salespeople is people aren't picking up the phone, and/or when they do get ahold of them, there are companies not sure how this thing's shaking out or when it's shaking out. The whole world's in flux. We want what you have. We just might not want to buy it right now. We need to see how things work, right? So what we would do is, we would take that feedback and go, so our Q4 might not be as great as we would normally have it be, but welcome to COVID.   Anthony Coppedge: What we are more interested in then is, what kind of Q1 pipe are we building? What kind of Q2 pipe are we building? We're deferring some things, but what we're doing is adding value and we're showing we care and we're responsive and listen. We understand their pain. We want to solve that for them. So when we do that, we're okay with deferring the sale. Not because we don't care about hitting numbers. We're more interested in saying, how do we know if we're adding good value? And do they trust us as a trusted source to come back to us when they are ready to buy? That's more valuable. Because what you want to look at is not the short term closes, right, Brian? You want to look at the lifetime value.   Brian Webb: Absolutely.   Anthony Coppedge: So, in many businesses, once you get them to buy more than once, their lifetime value goes up by an exponential amount. So if you can get them to be a repeat customer or to expand from one offering or services into two or more, their LTV can go up five, six hundred percent, right? So what you want to do is have that long-term view and that client centric view, which is at the heart of Agile. I want to deliver value to my client.   Anthony Coppedge: So let me make this real simple. When I ask my sellers to make calls or to generate leads, what I'm not asking them to do is hit a number. Instead, what I'm saying is, how can you separate the wheat from the chaff so that those people most closely aligned to what we do and the way we do it, to really exponentially help their business be better. How could you get excited about identifying, ding, ding, ding, this person's going to be blown away by what we can do for them. And you are not disinterested in the rest, but you focus disproportionately on those who are a good alignment. And now you're not worried about getting leads, you're not worried at all. What you're now excited about, and that's that B thing, behavior, attitude, right? Now you're looking at, I can't wait for when this is going to make a huge impact on your business. I'm so excited. That is a client centric sales viewpoint, not a, I need to hit my quota because I want to get paid viewpoint.   Brian Webb: Right, right. Yep. Absolutely. Let me ask you this, what are some of the key benefits of having teams and departments working in Agile together?   Anthony Coppedge: So that's one of the fundamental things, is that we are better together than apart. And we all know this to be true. But think about your compensation model for your different people, including sales. A lot of it is focused on individual contributors. And there's absolutely nothing wrong with that. But what would happen if you also said that in addition to your individual compensation, we want to think about how we incentivize the team getting better. How do we build a culture where a rising tide floats all the boats and everybody wins? And I'm not talking about taking the work that I do and carrying the load of five other people who are slacking. That's not what I'm talking about. I am saying when everybody contributes, we should all benefit together. And so what motivates then is the sharing of learnings, the sharing of insights, so that people are motivated and want to. Not just for the paycheck, but because they see the value of learning and benefiting from others as well.   Brian Webb: I would imagine this last question that we have for today, or that I have for today rather, I know the answer to it, but I want to hear what you have to say specifically for our audience, but what kind of company or companies would benefit from an Agile transformation of their culture, their systems, their processes?   Anthony Coppedge: If you want to be focused on delivering exceptional value and you can't wait to delight and surprise your clients, you probably ought to take a look at Agile. And even in spaces where it might not be as intuitive. People are like, Agile doesn't work everywhere. No, you're right. It doesn't. But it could probably work around the areas where it doesn't work.   Anthony Coppedge: I had someone said, a surgeon, if I'm doing the surgery, there's no way that can be Agile. You're correct. As an individual contributor during the surgery, you are the expert. But I bet it took a lot of people to coordinate getting everything ready for that surgery to even happen. And I bet the post-op's going to require a bunch of people. And I bet the insurance follow-up is going to require a bunch people. There's probably plenty of room for Agile there, even though you're the expert in your domain, right?   Anthony Coppedge: So the idea of anywhere where we can say, we're better together, and we can scale up narrowly what works and scale down broadly what doesn't, there's the real value of having your business become far more effective over time by making those small iterative improvements to make big impacts.   Anthony Coppedge: Brian, when I lead my kickoff training, when I first talk to sellers, I say, so I want to introduce you to Agile. Let me ask you a question, how many of you will be thrilled if I increase your quota today by 50%? And of course nobody's hands goes up, right? Like, what?   Brian Webb: Of course.   Anthony Coppedge: But then I talk for a couple of minutes and I say, so let me ask another question, how many of you think it's reasonable that if we work together, we could all get 1% better a week? And of course the vast majority or almost all the hands go up and I say, great.   Brian Webb: Sure, everyone that's reasonable, anyway.   Anthony Coppedge: If you took two week vacation in a standard tier, in 50 weeks you'd be 50% better.   Anthony Coppedge: Now you ask any CFO, any CMO, any COO, any CEO, hey, what would 50% better do to your bottom line, to your customers, into your ability to scale your business? And they would be going nuts for that. Well, there's the idea, right? It's not that we're suddenly so much better, it's that we're continuously improving to get exponentially better over time. And what it requires is that commitment to clarity, the ability to have a shared set of values and a set of principles that align us so that the work we do is not just the work we could do, but the work we should do.   Anthony Coppedge: And I'll leave you with this. I remember talking to a senior executive once when I was talking about the idea of breaking it up into small bite sized chunks of one week at a time to improve, right? And this person looked at me and he says, Anthony, are you telling me we get to tell them what to do every week? And I looked at him and I said, no, they get to tell us what to do every week. There's the difference.   Brian Webb: It's a complete pivot. Yeah. It's a complete pivot altogether. Let me ask you this, and this is my last question, but for those in the audience who are just now even hearing about Agile with a capital A, what would be a first or a next step? Meaning, perhaps 30 minutes ago, that word was not even necessarily as an Agile with a capital A in their vocabulary, or certainly in their sense of what they need to be doing with their business. It wasn't a priority. And imagine the listeners that are hearing this, they're understanding something, they're seeing fire for the first time, what would be a first step for them to take to start moving in that direction for implementation?   Anthony Coppedge: I think we do best when we talk to our peers first. So I would ask my peers, my friends, hey, does anybody know somebody doing anything Agile with their business? Because what's going to help is for you to see a contextually relevant example. So if you are aware of that, that would be the first place to start because people talk to people and that's probably easiest way to learn.   Anthony Coppedge: For the podcast listeners who I'm pretty confident are going to be avid readers as well, I would throw out the book, The Age of Agile by Steve Denning. Remember I told you about that group that got together and wrote the Agile manifesto? Well, Steve has since gone on to talk about business agility, not just software agility. And The Age of Agile is a very practical read that helps kind of explain the thinking behind it. I would point to that as a next step resource. And then if you have specialty, like Agile marketing, that would be Mastering Marketing Agility by Andrea Fryrear. And there's lots of different domains where you can see this. Do a search for it on Amazon and you're going to find a ton of books. There's no lack of content. It's a multi-billion dollar industry.   Brian Webb: Okay. Well, Anthony, I know that we're all better off for having had this conversation with you here today. For those that might want to connect with you online, where's the best place for them to either connect or follow or reach out to you?   Anthony Coppedge: Well, I would point most people to my website, but the truth is, I've really enjoyed connecting with people on LinkedIn. And if you want to follow and see what I say before you connect with me, that's a total viable option. It's very easy to do. You just go to linkedin.com/AnthonyCoppage. And I'm sure you'll have a link somewhere, Brian. But I love connecting with people on LinkedIn. It's my favorite social platform. So that's where I would point people to.   Brian Webb: And again, someone who's known you, Anthony, for two and a half decades, I would be one to urge our audience to do that. Anthony is always a source of encouragement. He's always a source of insight. And I just want to say thank you for being on our show today, Anthony.   Anthony Coppedge: Thank you, my friend.   Brian Webb: Thank you for listening to today's episode of the Houston Business Growth podcast. As always, we're here to help you grow your leadership and your business by making better decisions with fewer regrets. If you've enjoyed the show, please let us know by subscribing to the show and leaving us a review. You can subscribe to this podcast on Apple Podcasts, Google Play, Spotify, or anywhere else you listen to your favorite podcasts. Again, thank you for listening. We'll see you on the next episode. _____________________________________________ Tags: Houston Business, Houston Business Growth, Houston Business Growth Podcast, Brian Webb, entrepreneurs, Houston, sales, marketing, leadership, Servpro, Randy Meacham, Susan Meacham, Disaster Recovery Team Houston, Extreme Team Meacham, Anthony Coppedge, Agile, IBM

Relentless Health Value
EP292.5: Teladoc Livongo Part 2

Relentless Health Value

Play Episode Listen Later Sep 17, 2020 32:02


Welcome to Episode 292, Part 2. This is the second part of a two-part episode, but, in a way, you can listen to whichever part you want first. So, if you wound up here first, no worries. Just go back when you have a sec and listen to Part 1. There’s some good stuff there you don’t want to miss, including some background information that might be good to have.  This episode, as well as the last one, is about Teladoc buying Livongo. I am going to call the combined organization T&L because I heart acronyms as much as you do. Here’s the thing with T&L: They are not alone in their quest to disrupt the traditional health care delivery market. You also have Aetna making a plan design that advantages CVS clinics. You got Humana doing the home health thing. You got Walmart and Oak Street hooking up in Texas and risk contracting with managed Medicaid and Medicare Advantage. You have employers across the country direct contracting with Centers of Excellence and buy in perspective bundles. Also, speaking of employers, on the on-site clinic space, Premise Health just recently acquired CareHere. These two organizations will reach 11 million eligible lives at 2200 customers in 300 markets. All this being said, let me make a fairly obvious point: Increasingly, the competition is going to be about outcomes—or perceived outcomes. Competition is going to be around the value delivered (ie, quality divided by cost). This I like. To me, it’s a tragedy that the health care industry can get away with charging prices no one would consider fair and delivering subpar health care let alone health. I want some of these organizations that do a really nice job coordinating care and which patients really appreciate to do well by doing good. And I love that some of the payers out there—some of the employers and even some of the Medicare Advantage and other health plans—recognize the value that these organizations can deliver. But let’s consider the implications of this—notably, here’s one: Few, probably even the very best, for example, endocrinology practices or maybe even cardiology practices, have a bead on how well they ultimately attenuate downstream medical costs. They might not even know, outside of what they are required to report for quality incentives, how well they are consistently creating better patient outcomes. Livongo does—or at least claims they do—and lots of employers and plans buy the results they’re selling to the tune of something like $300 million in sales this year. Here’s what I don’t like: What is shaking out is a turf war, and the weapon of choice may or may not be authentically better patient outcomes. Some of the weaponry here is built on a marketing “chassis.” The one who has the best marketing shall triumph. People judge books by their covers, and that’s a cliché for a reason. You can read Al Lewis’s blog post on Livongo, where he dug into their purported results. Then listen with your left ear to some of the chatter on the street about how Livongo is more of an employee retention tool than, you know, a clinical tool. I don’t kn0w where these rumors started, but I keep hearing that because the Livongo NPS (Net Promoter Score) is high and employees, including executives, think it’s pretty cool as a service, that maybe, given this, that it’s okay if many of the Livongo charts and graphs don’t have labels on their Y axes. And it kind of, you know, makes sense if you actually sit there and stare at them as I have done.  All this I just said? Background noise. The games have begun, and the winners will be those who consumers/patients love. It’ll be the ones who know how to market to employers or Medicare Advantage plans. It’ll be the ones who can succeed in risk-based models. There you go. There are your three success factors. In this health care podcast, I speak with Matt Anderson, MD, MBA. Matt sees the ecosystem through the eyes of an innovation leader at a health system. And my finale interview of our two-part series here is Brian Klepper, PhD, principal over at Worksite Health Advisors. Brian will speak from the POV (point of view) of employers. You can learn more at bannerhealth.com and drmatthewanderson.com and connect with Dr. Anderson on Twitter at @DrAnderson19 and on LinkedIn. You can also learn more at careandcost.com, by emailing bklepper@gmail.com, and by visiting validationinstitute.com.  Matthew Anderson, MD, MBA, has a passion for finding unique solutions to difficult problems in health care. He focuses on creating environments that allow patients and physicians to have frictionless experiences. Through insights gained in private practice, leading physician groups, and embedding himself in the health care innovation landscape, he can empower those looking to improve the health of communities and the well-being of those that dedicated their lives to providing care. He has been a business owner, medical director, and chief medical officer and now leads clinical innovation projects for Banner Health and advises several health care start-ups and venture teams. Brian Klepper, PhD, is executive vice president of the Validation Institute, principal of Worksite Health Advisors, and a nationally prominent health care analyst and commentator. He speaks, writes, and advises extensively on high-performance health care, primary care clinics, and the management of clinical and financial risk. His current consulting focus is on health care organizations that consistently deliver better health outcomes at lower cost than conventional approaches in high-value niches. In his role at the Validation Institute, he spearheads programs that identify, validate, celebrate, and promote true high-performance health care programming. 05:06 What is the viewpoint about this merger from an MD, MBA in a health system? 06:30 “They’re really starting to become someone who can provide that continuity of care in a way that I don’t think anyone’s really done before.”—Matt 07:38 “When you are competing for patients, by definition you’re competing for revenue.”—Matt 10:09 “At baseline, their goal is to provide care but at the lowest cost possible.”—Matt 12:17 What is a forward-thinking provider organization doing right now? 12:31 “This is going to be a space race for health care innovation right now.”—Matt 15:43 “Sometimes it just comes down to the basics, and if you get the basics right, you can apply it in any situation.”—Matt 16:29 What’s forced the inertia in the industry to become action? 17:23 “Things are moving slowly but surely in the right direction, and that’s something I’ve never seen during the course of my career.”—Brian 19:56 “Everybody and his wooden-legged brother claims that they have a high-value service, but very few actually do.”—Brian 21:13 “I think that the stakes have just gotten much higher for health systems … and physicians … of all types.”—Brian 23:46 EP252 with Chad Gray.25:12 “High-performance organizations represent a new paradigm in their niche.”—Brian 25:35 “It speaks to the core problem of American health care, which is that we’ve developed a culture of excess.”—Brian 27:42 Where’s the top of the bell curve right now? 28:10 “A lot of this is driven by policy … and that has sort of rigged the game.”—Brian 29:46 “There’s a tipping point, and then everything really, really will change quickly.”—Brian You can learn more at bannerhealth.com and drmatthewanderson.com and connect with Dr. Anderson on Twitter at @DrAnderson19 and on LinkedIn. You can also learn more at careandcost.com, by emailing bklepper@gmail.com, and by visiting validationinstitute.com.  Check out our newest #healthcarepodcast with @DrAnderson19 and @bklepper1 as they discuss the Teladoc-Livongo merger. #healthcare #podcast #digitalhealth #telehealth “They’re really starting to become someone who can provide that continuity of care in a way that I don’t think anyone’s really done before.” @DrAnderson19 discusses the Teladoc-Livongo merger. #healthcare #podcast #digitalhealth #telehealth #healthcarepodcast “When you are competing for patients, by definition you’re competing for revenue.” @DrAnderson19 discusses the Teladoc-Livongo merger. #healthcare #podcast #digitalhealth #telehealth #healthcarepodcast “This is going to be a space race for health care innovation right now.” @DrAnderson19 discusses the Teladoc-Livongo merger. #healthcare #podcast #digitalhealth #telehealth #healthcarepodcast “Things are moving slowly but surely in the right direction, and that’s something I’ve never seen during the course of my career.” @bklepper1 discusses the Teladoc-Livongo merger. #healthcare #podcast #digitalhealth #telehealth #healthcarepodcast “Everybody and his wooden-legged brother claims that they have a high-value service, but very few actually do.” @bklepper1 discusses the Teladoc-Livongo merger. #healthcare #podcast #digitalhealth #telehealth #healthcarepodcast “It speaks to the core problem of American health care, which is that we’ve developed a culture of excess.” @bklepper1 discusses the Teladoc-Livongo merger. #healthcare #podcast #digitalhealth #telehealth #healthcarepodcast

Grants Pass VIP Podcast
Lowell Gibson – NiceBadge

Grants Pass VIP Podcast

Play Episode Listen Later Aug 28, 2020 22:55


Born in Grants Pass, Lowell Gibson has run NiceBadge in town for the past 20 years. An active member in the local community, Lowell took sometime this summer to talk with our host Brian Pombo about the challenges NiceBadge has faced since the start of COVID-19 and how they've adjusted. A big thank you to Lowell for being on the show and for being our first interview on the podcast. Checkout NiceBadge ➡️https://www.nicebadge.com/ Transcription Brian: Lowell Gibson is president of NiceBadge. A 5th generation Southern Oregonian. A missionary kid raised in Japan 14 years. The chair of BR&E, VP of Gospel Rescue Mission Foundation Board. Treasurer of the SOREDI Board. He loves Southern Oregon and his community. Loves riding his Harley, fly fishing on the Rogue, golfing, floating the Rogue. He's also extremely pro business. I'm very happy to have him here today on the Grants Pass VIP podcast. Thanks for coming on Lowell. Lowell: Thanks Brian. Thanks for having me. Appreciate it. Brian: So who are you and where would people know you from? Lowell: Lol. I don't think I've been on the wanted posters in the post office lately, so that's good. I bought the business here in 2000. I was born here, then I raised in Japan, came back for a while, left to go to college. Finally came back in 2000, bought the business and I've been here since. I think the community that it is we all get to know each other in different circles. Within the business community. I've been involved with the chamber with a lot of pro business and economic development organizations, of course, Rotary and a few other places like that. Brian: Why Grants Pass of all places in the world? You moved back here in 2000, why here? Lowell: The simple answer is, I like Grants Pass. It's my hometown. It's a good place to raise a family. I was up in the Salem area, and just the weather up there is a little bit gray. It may not necessarily rain, but you know, down here, it's either going to rain on you or the sun shines out and I kind of like that. And like I said, it was a great place to raise my kids. And it's a small community so you get to know a lot of people. You know, there's a lot of good in that. Brian: Tell me a little bit about why you bought this business? Lowell: Yeah, I used to be in the restaurant business. I own the restaurant and heating and cooling, I sold insurance for a while. This business was owned by my mom. She had bought it in 85. And by 2000, she had grown it to a business that had about 13 employees and she was wanting to retire. I was looking for something different to do at the time. She said, "why don't you to take a look at it, see if it's something you'd like." So I did and of course, moving back to Grants Pass really appealed to me. So I bought the business, moved my family back down here and my mom retired. Here it is, you know, 20 years later still here. Brian: You've been doing this for 20 years. Is it an industry or a position that you recommend to others at all? Lowell: Wow. So when I bought the business is much smaller, the company was, and we make name badges. It's bulk of our business, but we do other things like promotional products and signage and sandblasting. There is definitely a lot of that being done around the country. With the internet, we were able to start selling nationally a little bit easier with our website and you know, using SEO. To grow it, you have to have a lot of customers because what we're selling is smaller items. So we have over 40,000 business customers across the country. And it takes that many just to do the volume we do and keep 27 people employed. It's doable. I think the hardest part is to grow it from nothing….like my mom, she took it from nothing, you know, one employee, part time employee to 16 employees. That was probably the hardest part of the company, that initial growth phase. For me,

Drive Time OC
The History of Surfing and Surfboard Design

Drive Time OC

Play Episode Listen Later Jul 23, 2020 113:17


Brian & Seth discuss the history of surfing, surfboard design and voting. Returning guest Jay who has been in the surf industry for years will be dropping knowledge about the lifestyle.With the election cycle well underway, we are going to talk about other ways you as a person can vote.Theresa and Daniel will be sharing updates in the real estate industry and Todd will drop another “Prepared OC” on us.HeadlinesSeth – Orange County reports nearly 30,000 positive tests for the coronavirus as of July 20Web – https://www.ocregister.com/2020/07/20/coronavirus-orange-county-reports-nearly-30000-positive-tests-for-the-coronavirus-as-of-july-20/Brian – Orange County Dr. Jeff Barke wants to reduce fear associated with COVID-19Clip – https://www.kusi.com/orange-county-dr-jeff-barke-wants-to-reduce-fear-associated-with-covid-19/Seth – Comet NeowiseWeb – https://www.ocregister.com/2020/07/20/comet-neowise-continues-its-show-for-southern-california/Brian – Barbers, Salons Permitted to Reopen with Outdoor ServicesWeb – https://www.sanclementetimes.com/barbers-salons-permitted-to-reopen-with-outdoor-services/“OC Real-Estate with Daniel & Theresa”StoriesSeth – The History of Surfing and Surfboard DesignWeb – https://surfsimply.com/surfboards/the-history-of-surfboard-design/#:~:text=In%201947%20Joe%20Quigg%20created,for%20the%20’Malibu%20Chip’.&text=His%20models%20weighed%20around%2025,most%20surfboards%20of%20the%20time.Web – https://www.youtube.com/watch?v=jyn_orqdyHQWeb – https://www.centralhome.com/Surfing-History.htm#:~:text=The%20exact%20origins%20of%20surfing,who%20could%20surf%20the%20best.Brian – “You can vote with your feet in this country. If a state is mismanaged, you can move elsewhere,”~ Ronald ReaganWeb – https://www.ocregister.com/2020/07/20/flawed-policies-lead-to-black-exodus-from-california/“Prepared OC” with Todd DeVoeEventsBrian – Where to find KFC’s Beyond Fried Chicken in Southern CaliforniaWeb – https://www.ocregister.com/2020/07/20/where-to-find-kfcs-beyond-fried-chicken-in-southern-california/Seth – New Sculptures Installed in Civic Center Park – NewportWeb – https://www.newportbeachindy.com/new-sculptures-installed-in-civic-center-park-2/Brian – Veteran Career Boot Camp- Five Part Series Hosted by The “Veterans Business Network of Southern California”Starts July 27th Online, Free Web – https://www.eventbrite.com/e/veteran-career-boot-camp-five-part-series-tickets-113567463340?aff=VBNVBN on Facebook – https://www.facebook.com/thevbn/Seth – Nothing to do? Go grow some fruit Web – https://www.ocregister.com/2020/07/20/how-to-grow-healthy-fruit-trees-in-limited-space-using-espalier/LinksTitan HST with A Prepared OC – https://www.titanhst.com/Drive Time OCWeb – https://sitchradio.com/our-shows/drive-time-oc/Twitter – https://twitter.com/DriveTimeOCInstagram – https://www.instagram.com/drivetimeoc/TikTok – https://www.tiktok.com/@drivetimeocDownload the “Drive Time OC” AppAndroid – http://bit.ly/38ifo2JApple – https://apple.co/2RzEzIhSister ShowThe OC Politics ShowWeb – https://sitchradio.com/our-shows/the-oc-politics-show/Sponsors“OC Real-Estate with Daniel & Theresa”Daniel – (714) 788-7525Daniel – 714ocre@gmail.comTheresa Web – guildmortgage.com/theresastachelskiCalifornia Trial Attorneys – https://catrialattorneys.com/Foskaris Wellness – https://foskariswellness.com/Teatro Martini – https://www.teatromartini.com/Sitch Radio – https://sitchradio.com/If you would like to become a sponsor or advertiser Call Sitch Radio (714) 643-2500 X 1

The Marketing Agency Leadership Podcast
Client Tech Education, Deep Data Study, and Micro-Testing: a Formula to Boost Business in Uncertain Times

The Marketing Agency Leadership Podcast

Play Episode Listen Later May 14, 2020 31:18


Brian Lawson and his brother left their jobs in engineering, IT, and software development to found WebMO (Web Marketing Optimizer), a digital marketing agency. From the beginning, they focused on optimizing organic visibility/SEO and doing Google search ads, not just studying digital marketing tactics, strategies, and analysis, but digging into the “behind the scenes” mechanics. Today, WebMO is heavily data-driven, does everything digital marketing, and serves a large number of diverse and predominantly small-businesses nationwide. WebMO's “super-detailed” understanding of Google Analytics, conversion tracking, visitor engagement metrics, and the conversion heuristic enables the agency to fully understand clients' market spaces. Over the years, the agency built their own analytical tools. The combination of three major Google data points – Google Analytics, a company's Google Search Console data, and the data compiled in a company's Google my Business listing – provides a clear understanding of a company's “true space in the market.” Education is the beginning of WebMO's relationship with its clients. Brian loves to break down complicated technical concepts. He is used to speaking to groups of people, and loves running free workshops to help business owners understand complex concepts. As a result of this proactive training, WebMO became a Google Partner. When Google introduced the Grow with Google program, which encourages small business organizations, chambers of commerce, public libraries, agencies, and other organizations to participate in live feed educational workshops, WebMO was on board. Because of the huge number of people who have gone through WebMO's workshops, Google recognizes the agency as a “high impact partner.”  Education on how Google works, Brian says, “is absolutely critical.” After defining a client's market space, the agency evaluates the client's unique situation, and then makes recommendations. Because Brian's agency works with smaller companies with smaller budgets, “testing” the market and quantifying the response works well. Instead of spending thousands of dollars for a huge campaign, the clients may spend a few hundred. WebMO is then able to quickly show them the ROI on that investment. Brian says, “If it's going to fail, fail fast and fail cheap.” Covid-19 changed the agency's operations. Although WebMO has been unable to meet with clients in person, it continues its educational outreach through weekly updates. Google, Facebook, LinkedIn, Instagram, and Yelp are constantly tweaking their policies . . . WebMO is working to keep clients aware of these changes. One of Brian's more recent presentations covered “how to look at Google Trends to truly understand the impact that this [Covid-19] situation is having on your business.” Brian explains that Covid-19 has affected businesses in several different ways. Companies that provide such things as bartending services for parties are devastated. For other companies, like air conditioning repair companies and plumbers, it's business as usual. For the last category, exemplified by companies that sell cleaning supplies, provide in-home nanny services, and medical professionals who are still working, traffic has gone “off the charts.” In addition to having its own clients, WebMO partners with agencies that need an invisible number cruncher. When asked what he would have done differently when he started his agency, Brian said, he should have been “a little quicker to respond to where our clients were probably needing us most.” He seems to be doing that now. Brian can be reached on his agency's website at: www.web-mo.com Transcript Follows: ROB: Welcome to the Marketing Agency Leadership Podcast. I'm your host, Rob Kischuk, and I am joined today by Brian Lawson, Owner and Co-founder of WebMO, based in Tucson, Arizona. Welcome to the podcast. BRIAN: Hey, thanks, Rob. I appreciate you having me on. ROB: Brian, it's great to have you. Why don't you start off by telling us about WebMO and what makes WebMO great? BRIAN: Awesome. We are, as you mentioned, a Tucson, Arizona based digital marketing agency. I've always introduced our company as being a little different than quite a few others in our space because of our backgrounds. The co-founders, myself and my brother, come from a much different background than the typical marketing agency background. A lot of times people that provide the types of services that we provide, like websites and digital marketing and SEO and Google and YouTube and Facebook and all that, tend to come from either the design world or sometimes a traditional marketing background. Our backgrounds were in engineering, IT, software development, all those things. So, from the very beginning, we started approaching all of these digital marketing tactics and strategies and analysis with a much greater emphasis on the machinery, the real techy stuff that's lingering behind the scenes. You think about Google as one example; Google's a company that has 20,000 engineers and 300 designers. So, taking that real math-based, almost “super nerd” approach, if you want to think about it that way, is a good way to approach it given the kind of issues we're dealing with. We tend to be – again, compared to most – a little more data-driven, a little more analytical. We definitely tend to be sometimes a little skeptical of other things that some others in our industry are saying. That gave us the foundation for a very unique and somewhat successful agency. ROB: It sounds like that would also shape the sort of client who comes to you and resonates with you. What sort of clients are drawn to and resonate with this approach? BRIAN: We have a pretty large variety of clients, which thankfully serves us well when things in the market go up or down. We don't really specialize in any one kind. We have some larger end clients that pretty much just engage our services purely for the data analysis part of what we do. We're one of the few agencies who have a complete understanding of all the things going on with Google Analytics and conversion tracking and embracing some of the math that's in our industry, like visitor engagement metrics or the conversion heuristic. We really get super detailed on that. But interestingly, that overall idea is also very appealing to a small business. If you're a house painter and you've been through multiple agencies so far and no one's really been able to figure it out, when they hear that story, it's like, “Whoa, these guys are super into this stuff and they're really technical and analytical.” In a way, it gives that client a reason to believe that maybe this time will be different. Our industry, digital marketing, is old enough now to where most businesses out there have had at least one or two or more experiences with other efforts, and most of them haven't been exactly what they were hoping for. So as an agency – and I would say this to any agency – one of the things you have to really get out there for a client is a reason to believe that this time, things will be different. For us, it's that. It's our unique value proposition, that idea that we're going to take a closer look at the data, but because we have this deep level of understanding of how this stuff works, we're going to find a way to get things happening that maybe weren't happening before. Now, on top of that, I also happen to be a business owner, and I have been a business owner for 30 years, so when I'm talking to another business owner, it's like, “Oh yeah, you get it. You understand.” So a lot of our clients – I'd say the majority of them – definitely fall into the small business category, with a few exceptions being some of those higher end companies that want to bring us in for the analytics side of things. ROB: Very interesting. What sort of toolkit do you bring to bear on that analytics problem? I think people look at tools all the time, and often having right thinking is much more important than the tools, but having good execution is also helpful along those lines. What's your go-to? BRIAN: We've actually done a lot of in-house compilation things, if you want to think about it that way. We're very heavy on the technical side. We have a team of 23 people total, very heavy on the techy side. A lot of developers and programmers. Because of our background being software developers/app developers, we really didn't have to rely on finding third party solutions to do most of what we do. We were able to grow them from the ground up. One example is, for instance, if you're trying to analyze a company's visibility. Let's say you've got a local PC repair guy, whatever, and they want to really understand how they're doing online. We rejected this idea of rank reports way before everyone else did. Even when we entered into this business probably close to 10 years ago, we immediately looked at that model and said, “This doesn't make any sense.” Clients were getting these reports that said “Hey, you're #3 on this term and #6 on that term,” and it all seemed so useless, honestly. Clients were already saying it was useless because they were looking at these reports and saying, “Whatever. Yeah, you found that I'm #3 if I type this exact phrase or whatever; what good does that do me? What do I get? Am I going to get a prize for this? What's the reward?” So we almost right out of the gate rejected that model and said rank reports are about useless, especially when it comes to local visibility. We started creating our own analysis tools that combined, at the time – and now more than ever, in today's market – the three major data points in Google, which is the data that's being accumulated, of course, in Google Analytics, your Google Search Console data, and all the data that's being compiled in your Google My Business listing. The only way to get a really accurate understanding of your true space in the market is with all three of those data points being combined. And then taking it a step further – and again, just putting your mind in a small business owner's frame of mind, they say, “Yeah, I get that I have traffic and I understand that all these people are finding me on these different words and phrases, but again, what does it really mean?” So we'll look at a market and say, “You are in Phoenix, Arizona; there are 50,000 searches per month, roughly, for people looking for plumbing repair. As a business, you, Mr. Plumber, are visible about 33,000 of those times.” Like I said, compiling all this data. That's the starting point: understanding your percentage of market share as opposed to just saying, “Hey, you're showing up in the third spot on this particular search term.” Then it just goes from there. If you're going to have any chance of getting a client or winning a new customer, they have to be able to at least see. As a business owner – and of course, we teach them this – the very first question you should be asking is, “How ubiquitous am I? If there's 50,000 people searching per month, how often am I one of those people that at least appears in front of somebody's eyeballs?” That's just one example. ROB: Absolutely, that makes sense. You talked a little bit about your technical background and your co-founder, your brother's background, coming into starting this business. But in particular, what was it that made you decide to start this business when you did? How did you go from the technical background to “I am going to start a digital marketing agency”? BRIAN: It's interesting. A couple things. We're serial entrepreneurs, as most business owners tend to be. From early on, from about the early '90s, about 1991, we had started an IT services company that was pretty much helping businesses with, at the time, the very confusing world of internal LANs and inter-office communication and computer networking and all that, and then branching into internet configuration and everything else. So, I had a very deep, good long list of local businesses that trusted us for pretty much everything technical. This buildup started happening probably around 2009-2010 with clients saying to us, “Hey, you guys are awesome in helping with all this other stuff, but I can't find anybody that can explain this to me or help me with this.” Almost getting dragged into it from that standpoint. We were thinking, “That's interesting, but let's put a pin in it.” Meanwhile, again as serial entrepreneurs, we did a tech startup. It was a home-based internet security product. I won't get into a lot of detail, but we had the old venture capital funding and all that, and we had developed a marketing strategy for that online. And it was good, using a combination of SEO and Google search ads and all the other things. We had it really cooking. After some investors came in, they basically said, “Hey, you guys are engineers. You guys are probably really good at communicating what you know about your product, but you're not marketers. You don't know what you're doing there. Let's hand that over to this agency” – it was in New York City, one of the bigger agencies out there. “Let's let them take care of that part.” We're like, eh, okay, let's see what happens. Sure enough, we watched what they did and we were doing it better. Our results, everything about it was far exceeding what one of the top agencies in the country was doing. So of course, the little lightbulbs go off in our heads, thinking, as soon as this current tech startup is behind us, between the demand that we're seeing from the boots on the ground, all the people out there that were literally begging us to help them, and combining that with the affirmation that we were truly, truly good at this stuff, our course was set. That was about 10 years ago. ROB: It's interesting how oftentimes through that experience in another business, you find out – sometimes it can be wanderlust and you just try to do something different, but in this case you were able to find something that you could do differently and successfully. If I rewind the conversation a little bit, you were talking about some of these rather complex things. I think if you ask a client sometimes to pick an attribution strategy in Google Analytics, their eyes glaze over. It sounds like you have the strength and knowledge to be able to prescribe that for them pretty well. But marketing also requires going one step further when you're working for a client and helping them understand. How do you think about helping these owners understand something like attribution when you get to something like beyond first click, last click, even attribution, and you're trying to tell somebody that an ad gave them 20% of a lead? I think it'd be pretty confusing. How do you think about getting those concepts through to clients? BRIAN: That's a great question. Early on, we really embraced this idea of the client relationship model, starting with education. I'll come back to that in a second, but really making sure that our client is truly educated. We weren't oblivious to the fact that, for the most part, in our industry, the number one reason why clients drift away is because they make a comment that says something like, “I didn't know what they were doing.” They honestly didn't understand what was happening. So first is education. Then it's evaluation of their specific situation. Only after that we make specific recommendations as to what they should be doing. The education side – as it turns out, I love talking about this stuff. I'm a passionate advocate for the entire model of digital marketing. I love getting in front of groups of people and explaining these things. Because of my background working with businesses on the IT side, I spent many, many times in boardrooms and in front of employees from companies, really breaking down very complicated technical things into little anecdotes and analogies and fun ways to think about stuff. So I was always very capable of doing that, and I really truly enjoyed it. We got way ahead of the curve on that and early on started doing workshops, just free education workshops that would be designed to get business owners understanding this stuff. Because they're dying for information. Even today, even though our industry is a little bit more mature, still so many business owners are quite oblivious. They really don't understand even the basics, let alone some of the more complex concepts like you mentioned. So we hopped on that train big time, and interestingly, it led us – because we're also what's considered a Google Partner; we have a Google Partnership status, and about 3 or 4 years ago, Google introduced this program called Grow with Google, where they were encouraging small business organizations, chamber of commerce, public libraries, or whatever to allow Google to do these live feed education workshops. At the time, since we were a partner, they were opening it up to agencies as well, so we started becoming involved in that. We did that so much that we became the only agency, at least in the state of Arizona, that Google recognized as one of its high impact partners. That was strictly because of the sheer number of people that have gone through our workshops. I know that's sort of a long roundabout way to answer your question, but yeah, education on that stuff is absolutely critical. There's also another element as well. There's getting a client to the point to know enough to know that they'll never truly understand it, and then they basically have faith in you at that point. They say, “Okay, I get that it's really complicated. I don't think I fully understand it, but I'm fully convinced that you understand it, and as long as at the end of the day I'm seeing results and I see that you're attentive, that's really the key.” ROB: As we were chatting before we started recording, that background you have in doing this education has really helped in the moment that we're in. We are in the middle of this coronavirus national shutdown, everybody work from home situation. How are you adapting your agency to operate in this new, fully remote environment? What parts of that do you think you might stick with even once we're all back together in person more often? BRIAN: That's a great question. Like we were talking about, I love the live workshop. I thrive in that environment where I can be interactive with people and gauge – if I'm saying something that's flying right over their heads, I can usually pick that up. So the challenge, for all of us really – and this doesn't just go for workshops; it goes for meetings, it goes for everything that we're doing right now – is to try to find a way to offset that disconnect. Like we talked about before, there's no substitute for that live connection. That being said, I think there are also some opportunities right now. I think that as of today – I feel like we're still, sadly, in the early stages of this; we're hopefully maybe a third of the way through, who knows – but I think after we settle into the new normal and people realize that, “Okay, I'm going to be here a while. I can't, even if I wanted to in some cases, be as productive as I was before because I can't do meetings, I can't do this, whatever. I'm stuck at home, not even driving” – I mean, for some people, an hour or two of their day just opened up because they don't have to drive cars. Again, for business owners and for those that are truly entrepreneurial, I think they are going to shift over to this mindset of saying, “You know what? With all this free time, I'm going to use it to make things better. I'm going to finally understand this thing I never really understood before. I'm going to figure out how to program my TV.” Whatever is on their list of things. From a business standpoint, they might actually be more interested in circling back to saying, “When I come out of this, I've always wanted to try Facebook ads, but I don't know how to do it.” So I think there will be an increase in the number of people that are at least interested in listening to or participating in some form of webinar or podcast. I don't think we're there yet; I think people are still in the “I've just got to figure out how to work remotely.” But once that settles in, I think there might actually be some opportunity. Back to your question. We were doing a pretty steady series of live events. We've obviously switched those over to all webinars. Even in the month of April that we're in right now, we've allocated every Thursday morning from 9 to 10 a.m. – we're just doing updates. There's so much information coming out in waves from Google and Facebook and LinkedIn and Instagram and Yelp, and they're all offering money this and credits for that and changing their policies. So, we're allocating that time just to get everyone up to date. But then we're also layering in really interesting topics. Like I think the one we're doing tomorrow is how to look at Google Trends to truly understand the impact that this situation is having on your business. This is something anybody can do. You don't have to have this high level of analytical skills to go to Google Search Trends and see whether or not people are searching more often for this, less often for that, or about the same. Once you're looking at that data and saying, “Interesting. People are no longer searching for this; however, they really are searching for that now,” that actually might help you course correct and maybe adapt your strategies a little bit. So yeah, we're still 100% all-in on the education side. Obviously switching over to webinar, for better or for worse, and then hopefully getting back to the normal mode once all of this is behind us. ROB: Are there any interesting examples of the Google Trends shifts you've seen on behalf of clients that you might be able to share? BRIAN: Absolutely. People ask me, “How are you guys doing?” We have such a diverse number of clients that we're really seeing all three scenarios. We're seeing some that are just devastated, sadly. We have clients that specialize in providing bartender services for parties and events, and of course, they're wiped out. Their entire book of business from now through May no longer exists. Our guidance to them is saying all the people that had these events are going to have to reschedule, so even though you're not finding people that are looking to do it right now, you might find them later. We have some that are seeing no impact whatsoever. If you're looking at AC repair or plumbing repair – pipes and air conditioning systems have absolutely no respect for the stay at home orders. If they're going to break, they're going to break. They're not going to wait until everything's normal, so there's no reason why there'd be less search on that, and there isn't. If anything, we're probably going to start to see a sudden uptick of that. People are home more often, and if you're in a state like Arizona where it's going to get into the upper 80s this week, they're going to be putting stresses on systems that they didn't really have to before with their kids at home and working from home. So I would expect they may grow a little bit. The third category of businesses that we work with are actually seeing increases. We have businesses that sell office cleaning supplies. We have businesses that offer nanny services for people that come to their homes and watch their kids. Again, there's a lot of people that have to go to work. All the people in the medical industry. So there's an example of a huge uptick. Their website traffic and the amount of leads they're getting is off the charts. So we really are in an interesting situation where we get to see all three of those scenarios playing out. ROB: That's an interesting mix, and probably encouraging to have that combination of some clients that are needing you a little bit more while some of those other clients maybe need a little bit less while they figure out this time. BRIAN: Right. It's almost like having a stock portfolio. [laughs] It's good to have diversity. You've got your winners and you've got some of them that aren't so good. ROB: When you think about your experience in building WebMO – and it sounds like you have some experience from building prior businesses as well – what are some things you would do differently if you were starting WebMO from scratch that you've learned? BRIAN: That's a good question. I saw that previously, and it's always hard for a business owner to do that, when you see yourself as being like “I've got this figured out.” But I would say in the early years, we found our lane. We found this lane and we were very committed to sticking to it. We were like, “We don't want to build websites, we don't want to do social media, we don't want to get into this, we don't want to get into that.” We were very much specializing in really optimizing organic visibility/SEO and doing Google search ads, because we had that down. We mastered those two things. We were probably a little more reluctant than we could've been to just open up and be more responsive to what the market was asking for. There was probably a few years where we just said, “No, no, no, no, no.” Again, hindsight is 20/20. I don't know, maybe it was better to do that. But today, through growing and evolving or whatever, I think the lesson with most small business owners is you have to listen to the market. You have to provide what your client wants, ultimately. You can't be too stubborn about saying, “No, no, this is all you need.” But on the other hand, you can't be running around like a crazy person saying yes to everything and getting into areas that are outside your expertise. I would've probably gone a little sooner into getting more into a lot of the other stuff that we do. Now currently, we do stuff across the board. Of course, we build websites, and we have campaigns running on everything from Spotify to obviously all the social media platforms and LinkedIn and direct email campaigns. You name it, we probably do it, if it's in digital marketing. I probably would've been a little more open to doing that sooner if I could roll back time for a few years. But again, you can't really second guess it too much when you like where you're at currently. We're very happy with where the business is now. It's always tough to say – but if I had done that too soon and I hadn't really mastered it, maybe it would've done more harm than good. It is a tough question, but that's probably about the closest I can get. Just being a little quicker to respond to where our clients were probably needing us most. That would probably be it. ROB: Are there any new directions that you think you might be getting pulled in, but you're not quite sure yet? BRIAN: There's certain things that I've just never been a big advocate of when it comes to marketing in general. There's certain tactics that I'm not probably ever going to be convinced to do. Things like spam. We're never going to tell a client, “You should be blasting spam out to people's inboxes.” Sending advertisements to people's text messages is to me crossing a line that I just will never feel comfortable doing. Yeah, you know you're going to get email solicitations from people you don't know; you accept that. You know you've got to see commercials when you watch TV. You know you're going to see ads on websites. You know if you're a Facebook user, you're going to see advertisements. But texts to me are our one safe space where we can be sheltered from getting bombarded with ads. We've had clients before say, “Hey, what about these?” and I'm just like, “I don't think so.” I think I'd still be reluctant to do something that I know, anecdotally, people in general just really, really don't like. Even if there's a possible ROI on it, there's probably some areas where I wouldn't feel comfortable taking my clients. ROB: I absolutely understand that, and I totally agree with you about crossing those lines. It's interesting what you mentioned on being pulled toward social earlier and resisting it. In a way, one of the things I end up seeing as I have these conversations is a lot of the people who got really good early at doing the core search ads and that sort of thing stayed away from social when it was fluffy and then came back into it when it wasn't “Hey, let me make a nice organic post that goes viral and gets a lot of activity,” but “Oh my goodness, Facebook ads is becoming sophisticated, and look at these tools we can bring to bear.” I think there may be a theme there. Also the case in email. I think a lot of clients weren't ready to use email intelligently for a while. BRIAN: I would say that's exactly correct, and that almost mirrors precisely how we approached it. I didn't like social media management because of that very reason. It was fluffy, like you said. There wasn't a lot of ways to calculate an ROI. There wasn't as much engineering and math and science behind it. It was way too obvious what you were doing and not doing from a client's perspective. There wasn't anything you could bring to the table other than really clever writing skills. It just didn't go to our core value. It's like, we're math guys, we're science guys; how in the world does that apply to making a clever, quippy little Facebook post? But then, like you mentioned, things got a lot more interesting when some of these more sophisticated targeting tools – that's about the same time we started hopping into it, because then there was a value add. That's the thing. As an agency, as a business owner, or whatever, if you're not doing something that's adding value that's obvious, your lifespan with them is going to be limited. I always explain that with any transaction. You have this perception of value that the client or the customer sees, and if they see the cost being at about the same level – there's a value, there's what you're getting, and then there's the cost that they're paying for it – if that is out of balance, if they feel like “I'm paying too much because they're not doing this,” then it's going to be trouble. The problem that we ran into, and a lot of people ran into with social media management, is that it's so obvious what you're doing. There's no secret. They're looking at your posts, and for better or for worse, they're saying, “That's it? My 16-year-old could do that. I'm paying $1,000 a month. I could just hire a part-time person and have them do it all the time.” So it's really hard to explain or to get across to somebody that what you're doing is something that you're uniquely qualified to do, that somebody else couldn't do as well. About that time when ads became a little more sophisticated or whatever, it fit into – one of our core, principal beliefs is this idea that there are no expert marketers, only experienced marketers and expert testers. So, we started embracing this idea that every single strategy out there is probably worthy of testing. If you're looking at Facebook, if you're looking at Instagram, if you're looking at Spotify, whatever, you don't have to buy into this idea that you spend thousands of dollars and do it whether it's working or not. You just have to take a testing mentality and say, “I'll try it. I'll throw a few hundred bucks at this.” And if you're working with somebody like ourselves, who's very good at analyzing data, with a relatively small budget we can drill right down and say, “There you go. That little budget that you ran for 2 months, here's precisely what it got you. We may have run across the tactic that will work.” On the other hand, some things don't work. It's marketing, right? You're going through your ideas; some things are going to work, some things are going to fail. If it's going to fail, fail fast and fail cheap. That is the beauty of digital marketing. You don't have to necessarily do an ad buy that you're committed to for 6 months. You can actually try a small budget test. I know that was a long circle around, but that mindset of adopting this idea that our job is just to test things for our clients – we just need to execute tests – that then opened up everything. Everything from Yelp to LinkedIn to Bing and YouTube and whatever. That's what got us into that, after that first wave of pure social media management abated a little bit. ROB: That seems like a great principle to carry forward, this idea that you might not say no to something you don't believe is effective; you can test it, and you can even probably keep testing it as long as you are changing something and you're not just in a rut of experimental nothingness. BRIAN: Exactly. That idea of A/B split testing everything from your landing pages or conversion pages to your ad copy – again, the beauty of digital marketing comes back to data. If you have data, you can literally look at it and say, “That ad got a 3% click-through rate and led to this sort of visitor engagement when they got to my website. This ad had a 4% conversion rate, but had lower visitor engagement.” Okay, that's some great information. It's very unique that way. It's extremely hard, if not impossible, to get that level of detail on traditional marketing methods. Radio, TV, billboards, magazines – there's basic things you can do, maybe track phone calls, but the unique thing is you can't get into the mind of somebody watching a TV ad and see how they're reacting to it. When they come to your website or a landing page, based on all the math that we are able to apply to this, you can really understand the people that are there that appear to be engaged, the visitor engagement metric. It's pretty common in our industry. It's exciting to me. I'm super passionate about it. This is the kind of thing where I teach people this in a workshop and a lightbulb goes off. They're like, “That makes sense!” You can actually get a better understanding of if your marketing is even moving generally in the right direction. ROB: You definitely know your numbers, Brian. When people want to find you and WebMO, where should they look you up? BRIAN: You can just go to www.web-mo.com. That's our website. Or you can just type “WebMO Tucson” or “WebMO” Arizona, “WebMO.” You're going to find a few references to us out there. We do work with clients all over the country. We're based in Arizona, but we are definitely nationwide in terms of the clients we work with. We love to partner with other types of agencies. We have a lot of partnerships with website designers, traditional marketing agencies, where we provide these services behind the scenes and basically make you look awesome because we're back there crunching all these numbers and generating all this great data and reports. Meanwhile, you're talking to your client and saying, “Hey, look what we did!” Sot hats a good way to initiate the conversation. Sign up for a workshop. Ask for a free report where we can obviously analyze your market. There's lots of actionable steps once you get to the website. ROB: Excellent. Thank you so much, Brian. Best wishes to you and WebMO going forward. We'll look for you online. Enjoy. BRIAN: Thanks, Rob. I appreciate the time. Stay healthy and safe and all that good stuff. ROB: Indeed. Take care, Brian. Thanks. BRIAN: Thanks. ROB: Thank you for listening. The Marketing Agency Leadership Podcast is presented by Converge. Converge helps digital marketing agencies and brands automate their reporting so they can be more profitable, accurate, and responsive. To learn more about how Converge can automate your marketing reporting, email info@convergehq.com, or visit us on the web at convergehq.com.

Agency Exposed Podcast
Ep 15: Finding the Good in the Virus (Part 3): How to Strengthen Your Client Relationships Through Crisis w/ guest Brian DeMarco, former NFL player and current agency owner.

Agency Exposed Podcast

Play Episode Listen Later Apr 8, 2020 59:25


Summary: Disruption is fast becoming a theme of our daily lives. As we seek out information to make decisions that will impact our businesses, it is more important now than ever to be in communication with our clients. To not only have a seat at the table, but to be taking charge of those relationships and offering stability to our clients in this time of incredible uncertainty. Brian DeMarco has been through the wringer of uncertainty in his life- and he has taken that willingness to adapt into the agency realm as well. In today’s episode we’re diving into the opportunity to deepen relationships during this time of crisis.   Top 3 Curtain Pulls in this episode: It’s important to step up and provide leadership with your clients and prospects. Make sure they know you are invested in their brand now more than ever. Give them the confidence that they can follow your leadership! Brian drops some truth: “In every crisis, there’s opportunity. To be honest with you, you have to be courageous enough to seize the opportunity.” This is a time to rise up to the challenge of not only maintaining status quo during this disruption, but to bring others up with you. More so now than ever, making decisions from a place of fear is NOT the way to go. As we’ve discussed in previous episodes, fear-based decisions almost always have negative results. So during this time of change, it’s important to find stillness and quiet for yourself, to not give into the panic.    About our Guest:  He’s an entrepreneur, motivational speaker, a retired NFL player, and now an agency owner.  He’s built two multimillion dollar businesses in both the physical therapy and fitness industries, and now he’s with the fast-growing marketing agency DRAFTR, where they serve clients like Uber, Universal Music, Ram trucks, and Easterseals. Based in Austin, Texas and joining us via Zoom call, we are so thrilled to welcome Brian DeMarco to the Podcast! Check out Brian’s agency DRAFTR Media Connect with Brian on LinkedIn   About The Guys:  Bob Hutchins: Founder of BuzzPlant, a digital agency that he ran from from 2000 -2017. He is also the author of 3 books. More on Bob:  Bob on LinkedIn twitter.com/BobHutchins instagram.com/bwhutchins Bob on Facebook Brad Ayres: Founder of Anthem Republic, an award-winning ad agency. Brad’s knowledge has led some of the biggest brands in the world. Originally from Detroit, Brad is an OG in the ad agency world and has the wisdom and scars to prove it. Currently that knowledge is being applied to his boutique agency. More on Brad: Brad on LinkedIn Anthem Republic twitter.com/bradayres instagram.com/therealbradayres facebook.com/Bradayres Ken Ott: Co-Founder and Chief Growth Rebel of Metacake, an Ecommerce Growth Team for some of the world’s most influential brands with a mission to Grow Brands That Matter. Ken is also an author, speaker, and was nominated for an Emmy for his acting on the Metacake Youtube Channel (not really). More on Ken:  Ken on LinkedIn Metacake - An Ecommerce Growth Team Growth Rebel TV twitter.com/iamKenOtt instagram.com/iamKenOtt facebook.com/iamKenOtt   Show Notes: [1:00] Bob introduces this week’s guest, Brian DeMarco. “He’s an entrepreneur, motivational speaker, and he’s also a retired NFL player. He’s built two multimillion dollar businesses in both the physical therapy and fitness industries, and now with the fast growing market agency Draftr, where they serve clients like Uber, Universal Music, Ram trucks, Easterseals, on and on. He lives outside of Austin, Texas- Brian, welcome to Agency Exposed!” Brian came into agency ownership the way many do- by accident. He started a business that was successful and became an agency owner out of that.  [3:00] Brian gives context for building his company. Coming out of the NFL he had a severe spinal injury that resulted in fractures in 17 places and 90% loss of function in his right leg. By ‘05 the injuries had gotten worse and worse.  “I was dying in every way a man can be dying- physically, spiritually, financially. Totally destitute, spent every dollar we made in the league on surgeries, rehab, raising our family.”  Amidst poverty and homelessness, he and his wife hinged their hope for his healing on two of the best spinal surgeons in the world, but were devastated by their terrible prognoses.  As a couple, he and his wife prayed together for a miracle, and a short time after that prayer they were inspired to design a machine that would help him learn to walk again. Through a series of miraculous meetings, events they were able to get this machine built, he learned to walk again, and they set out to make it a business. They raised over $4M and built a company from the ground up. They won the top 2 design prizes in the world. [7:05] Brian: “What I loved was the strategy behind building a brand and building community around a brand that was meaningful… I very passionately was just in it every day and building this up, so when the time came around and we got to a certain point, it was obvious that it was just time for me to go.” His passion led him to help other people experience what he was experiencing, and he had a very good idea of what didn’t work for him in an agency. [7:51] Brian continues: “I knew all the things that I didn’t like about agencies, I didn’t like the fact that they would never work with me to talk about revenue, using revenue for KPI, for what was being built on the marketing side. So these tough conversations that not many agencies want to have, but that all went into the building of Draftr Media.” He found a partner, Aaron King, who already had an agency, which became Draftr Media. They were on the same page as far as branding and were able to pursue their passion to be a better agency than what they had experienced.  [9:22] Bob asks Brian about what life is like for Draftr amidst the current shift in the world with Covid-19.  [9:38] Brian reflects on the initial shockwave that everyone had to deal with, and the process of reassuring clients that they could go on.  “Some of them we had to talk off the ledge, so to speak. It’s up to us, as Agency Owners during this time, to help them creatively understand how to re-imagine how they do business and how they meet their clients. Because that’s the effect of the Coronavirus, it’s going to be long lasting in our society. These things aren’t just going to, you know, flip a switch and go away when it’s over.” “Truth be told, we were all migrating there anyways… living more digitally. So that’s been a big part of the conversations with our clients… reassuring our team that we can reimagine how you do business digitally and how you meet your clients digitally.”  [11:38] Brian continues: “Relatively speaking, it’s easy to be a leader or a CEO when the market is just absolutely booming and you can do no wrong. It’s difficult to lead in times like this, when we’re in a massive trial in our lives, the entire nation. This is when it’s hard to lead, but it’s most certainly needed.”  [12:15] Brian: “There’s no way to sugarcoat this, it’s decimating a large part of our economy for now. But you have to have the courage to look boldly at the future and be determined to win.” “There’s an old saying in football, ‘Find a way to win.’ Whether that’s a guy stepping up, or the team coming together, whatever that is- find the way to win. That is most certainly where we are now.”  “Every crisis, there’s opportunity. To be honest with you, you have to be courageous enough to seize the opportunity.” [13:49] Ken responds: “Whether you’re coaching and leading clients or you’re leading your own team- you’re going through something too. And you’d be naive to think that it doesn’t affect you… this is not a passing thing that just goes away. You can’t just hunker down for four weeks and hope that it goes away.”  [14:35] Ken continues: “I believe the better approach is what you said, to assume that this is the new way or a portion of this is, and if you’ve got to do business that way, how can we figure out how to do business that way and thrive. It’s not easy- if it were easy, everyone would do it.”  [14:55] Brian: “That’s why you see brands, like I Heart, stepping up with the concerts and people are going to remember the brand that stepped up during this time to provide them something- entertainment. The one advantage is that people are now walking to the internet in droves to socialize, to be entertaining, to educate, which is another interesting side component of this time… we can educate our kids from home. Our school systems fell in line, our kids are learning. You kind of saw the writing on a wall with schools as we knew them, growing up.” [16:15] Brad asks Brian: “Tell me some of the things that you’re doing with your agency that are practical that other agencies maybe can glean from it and actually do themselves as well, whether they’re large or small agencies.” [16:35] Brian speaks on his efforts to “run lean” and never lose the startup mentality as far as resources and spending are concerned. They’ve had to ask themselves where they can pull back where it won’t impact clients- extracurriculars for staff, parties, etc.  “We’ve been very fortunate to date to not have to cut staff. We’re in this situation because we were so proactive with our clients, we weren’t waiting for them to call us with the situation… as soon as it got to the point where people were whispering about a pandemic, we were calling our clients, our leadership teams. We’re calling clients and dealing with this, letting them know that this is something we need to deal with right now. We don’t need to wait, how are we going to react as a brand?” [19:05] Bob presents: “There may be a temptation to take on clients out of desperation, to take what you can get to backfill things you’ve lost. And I think there’s some wise counsel here.” Don’t just take the scraps that you can get, you’re going to regret it and it will hurt you down the road. [19:57] Brian affirms that there is a shift that is happening for companies without a vision. For so long it was easy for people to throw ads up on Facebook and call themselves an agency. He suggests: “If I were a smaller agency, I would really hone in on what I do well, overstretch your sales pitch and speak out of bounds… Focus on your specialty and what your strong points are.” Stay in your lane! [21:55] Ken adds: “For the last 10 years or so, anyone can throw up a website and get clients… and no one will know the difference. Experience is really being undervalued.” Focus on getting highly specialized- that’s the anchor in ALL times, especially now.  In meeting with peers in the venture capital community, Ken has heard that now more than ever, they are realizing the value of strategic people in agencies. “Not just the person who knows how to spend money, but where to spend it.”  [24:52] Brad adds to Ken’s point- “What you’re talking about is, Is your business a commodity or is there something unique about your business that is harder to find? And so a lot of these, if you build your business around a commodity, then you’re just competitive in price. But if you build your business around something greater than that, where you’re the best or the only, then you’re a lot more valuable.” Oftentimes, companies hire agencies and the agencies don’t really have a seat at the table. But for those that do give you a seat, you have to step up and help them figure things out and provide solutions for them.  Psychologically, there is a huge difficulty in decision-making right now, so if you can get in and provide valuable insight and say “Let me think for you right now.” “How do you help them get over this hurdle?” [27:15] Brian responds: “From that standpoint, when we position ourselves early with the brands that we’re working with, that we’re really integrated.”  If you’re not in a position to be integrated with the leadership team at this point, it’s still important to put yourself in a position where you can offer advice and guidance, and let them know that you’d love to speak with them.  [29:25] Brad: “I’ve heard old war veterans say there’s no bond like those that you go to battle with on the front lines.” It is valuable to take that mindset into consideration in this circumstance- this is a battle that we can equip ourselves to win.  “When there’s a recession, people start to hoard their money and start to pull back their ad spend. That’s sometimes the time where they need to be spending more, but it’s just nature to start cutting, right?” How can we help our clients during this time and encourage them to resist that feeling and instead reinvent themselves into something great.  [31:13] Brian quotes Henry Ford: “Those that try to save money by stopping marketing are those that stop a clock to save time.”  The first gut instinct for a lot of entrepreneurs is to hold back on marketing- this is a massive fundamental mistake.  Brian made this mistake for himself and had to learn that the correct response is to pour MORE into their budget  to get through the hurdle.  Stay proactive as an agency to soothe your employee’s nerves as well.  [34:32] Brian: “We did this with our team, having very real and candid conversations…  I didn’t want them working from a place of panic.” [34:50] Bob asks what Ken and Brad have done to be proactive in their own offices.  [35:02] Ken responds: “We’ve talked about this a lot, acting from a place of fear… this produces horrible results every time.” What is really valuable is helping someone make the right decision for themselves.  “We’re in a really fortunate position in that our industry isn’t feeling a fundamental shakeup right now.”  [40:00] Brian adds that helping your clients with their perspective is valuable as well. Perspective on other difficult times when you’ve made it through and excelled.  [41:05] Bob speaks on previous podcast episodes: “We talked about funds, do you keep a years funding in the bank, how prepared are you truly to lead?” [42:31] Brian speaks on the good that will come from this: “The folks that truly understand what it means ot build a brand will be the ones that last through this.” [44:59] Brad recalls a message from Mark Cuban, who says that he was talking about how after this is all over, he sees our country exploding with new innovation and ideas and energy just because we’re all pent up and we’re all excited and it’s like after a war is finished- our economy will rise. Sometimes when things are so good for so long, it takes a sharp turn of events to challenge you again, and that’s where growth happens. And that’s something to be excited about. [46:00] Brian agrees, and tells a story about a recent discussion with a partner. He asked his client at the beginning of a meeting to just sit in stillness for a few minutes to assess his feelings and thoughts.  “It’s important to realize that this is when the best of us comes to the top. So you need to be your best self more now than ever.” [48:07] Brian asks how we will be impacted by this, as our grandparents were impacted by the Great Depression. Will we hoard toilet paper the way they hoarded canned goods and buried their money in the backyard? [50:05] Ken adds: It’s important during this time to be present, to value the time you have on your hands. It is more valuable than most things in life, so don’t let this pass with you just holding your breath waiting for it to be over.  Inside of yourself, in your business, in all areas of life! “You have a choice- come out stronger or don’t. You won’t be the same regardless.” [52:25] Brian: “You’re dealing with a fundamental human problem, and for a lot of folks, the fear is paralyzing. So this will be a time where the truly smart agencies will rise to the top.”  [53:30] Ken asks one final question: “What are some things from your football days that was ingrained into you that you use when leading and running your agency these days?” [55:38] Brian shares a piece of advice from a former coach of his, “I’ll trade an ounce of athleticism for an ounce of integrity any day” and “United together with a singleness of purpose.” The idea of being united by singleness of purpose has stuck with him through it all. At the end of the day, that unity you have with your friends and family is all that matters. Don't just do the job for the unity of the team, but also be encouraged from that team for yourself.

Commercial Real Estate Investing with Don and Eden
DE 31: Half A Billion In Real Estate Purchases - Check! with Brian Burke

Commercial Real Estate Investing with Don and Eden

Play Episode Listen Later Dec 18, 2019 27:12


Brian Burke, based in Santa Rosa, California, is a real estate investor and the President and CEO of Praxis Capital, which is a vertically integrated private equity investment firm. He established this firm back in 2001. He began his career in 1989, buying his first rental property which led him into the world of multi-family then commercial investing.  Brian is a successful entrepreneur and syndicator - today he shares how he started his real estate career and giving back to his community after the wildfire in California. He also discusses his investing strategy, where he’s looking to invest, what to expect from an investment and his future plans. Some Of The Highlights: His First Real Estate Investment and His Business Today His Work Strategy and Advice For a ‘Rainy Day’ In Business Brian’s Retirement Plan What is the preferred return?    Connect with Brian: Website: PRAXCAP.COM - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -  TRANSCRIPTION Intro: Hey guys, this is Eden and today is a very special episode because we are going to host Brian Burke, who is one of the biggest investors on this show to date. Brian had completed half a billion in real estate purchases this year alone after a long and beautiful career that lasted for 30 years and still counting. When listening to this episode, I was personally amazed by how humble Brian is and the sheer perspectives and mindset real estate investors to have despite the fact that they never met before. Also, today we would like to ask you guys for a favor. If you love our content and feel like you're learning from this podcast, please go on iTunes and give us a five-star review. This helps the podcast to rank higher and the best, part if you give us five-star review, shoot us an email at Hello@donandeden.com with the content of the review and your phone number, and you'll get scheduled for 30 minutes phone call with me and Don where you can talk about real estate and get answers for the questions you always had. So, without further ado, let's get started. Lady: Welcome to the commercial real estate investing podcast with Don and Eden where we cover all aspects of real estate investing with special attention to off-market strategies. Don: Hey Brian, welcome to the show. Brian: Thanks for having me on Don. Don: How's the weather in Santa Rosa, California? Brian: Oh, it's a beautiful day today, almost 80 degrees this afternoon and in November, which is a little unusual, but I'll take it. Don: I like to skate. It's like my hobby. So, I went to L.A., I went to Venice. I took a month off, just wanted to skate, took my skates with me and went there. Some people said it's the best place for anything that has wheels. And so, when I got there, that was late May and it was raining. It was like rain in L.A. and people told me it's very rare. That never happens. And it was kind of cold. And so, one of my friends that lives in California said that the weather over there was pretty unusual this year. Would you agree? Brian: Yeah, it was unusual. A lot of rain this spring and a lot of heat this fall. So, it's been a little bit unusual. But I would say the best weather in California is probably September and October. Those are usually some of the nicest months and people think that summer is probably the nicest, but it's not always the case. Don: Yeah not always the case. Is it still burning over there? I know you guys had the wildfires. Brian: There's a large fire. The largest fire in our country's history just got fully contained yesterday. And that was about a couple miles up the road from our office. So, we were under mandatory evacuation last week. And this week, we're back in action here in the office. Don: As sad it is to say that, I'm sure that these wildfires pose some great opportunities for real estate investors. Am I right? Brian: Well, once in a while they do and we had a fire in our city two years ago that wiped out 5000 homes in our city. We raised a fund last year to rebuild homes and our city and we raised about $8 million and we've been building single-family homes on burned-out home sites where the owners decided not to rebuild and elected instead to sell or move to a different area, put their lots up for sale and we're putting spec homes on those lots and got a couple of dozen homes under construction right now. So certainly it does breed some opportunity. Don: Not only opportunity, in this case, also give back to the community that is your city. Eventually, you want people to live in it and feel happy about it. Because that's home for you. Right? Brian: Yeah, people want the city to be put back the way it was. And we're doing our part to help do that and at the same time provide much-needed housing. When you lose 5000 homes in a city of 250,000 people it makes a real impact on housing demand, and there's a need for housing here. And we're helping to provide that which is pretty exciting. Don: That's beautiful. So, I know your real estate career is a very long one. You're one of the most successful entrepreneurs and syndicators on the show to date. I know you've amassed a portfolio of 250 to 300 million if my numbers are right and you've completed your half a billion in purchases of properties this year, am I right? Brian: Yeah. 2019 is a banner year for us. We crossed the half a billion-dollar mark and real estate purchase, which is an incredible accomplishment for me to even say that it is weird. I never imagined that in my lifetime I would do something like that. But we managed to pull it off. Now we've got a portfolio consisting mostly of multifamily properties. Our business focuses primarily a hundred units and up multifamily all across the US and we've got about 3000 units that we've done. Our portfolio now is about 250-300 million of value. We still do some single-family here and there. Of course, our fund where we're building homes in our city, so we're kind of a multidisciplinary real estate firm that started in single-family migrated to multifamily, but once you have developed roots and single-family, it's hard to lose those. Don: Yes. I started single families too, and let's be honest, it's fun. Even when you're doing commercial, it's still fun to do some projects there as well. So, let's talk about how it all started. When did you make your first steps in real estate? What was it back then? Because I know you've been doing real estate for 30 years, right? Brian: Yeah, my first real estate investment was a little over 30 years ago. In 1989 was my first real estate investment. Don: Just a side note. I was born in 1989. Brian: You were born? Yes. So, when you were busy being born, I was busy trying to find a house to buy and I made my first real estate investment. I didn't even own my own home but I bought a rental and fixed it up a little bit and a couple of years later sold that and I started doing some house flips, one house at a time and I was still working at the time and this enabled me to make a living on my job and then invest in real estate to build my future. Don: What a smart decision! So, one thing led to another and now you are in control of over 500 million worth of property in multifamily which is amazing. So, tell us a little bit about the first deal in multifamily. When was the first time you decided to buy a commercial property? Brian: My first multifamily was about 16 or 17 years ago. And it was here in California, it was a 16 unit apartment building. And what I was doing is I trying to figure out how to invest in commercial real estate, but I just didn't understand it very well. I didn't understand what the numbers meant or how to value it or how to evaluate it. Two rental houses that I accumulated through my house flipping business and flip one, keep one flip one, keep one. So, I had a couple of rentals I wanted to sell and I wanted to do a 1031 exchange and exchange up into an apartment building. It just seemed like it was an interesting way to grow the business and have more economies of scale and cash flow and all that.  So, I reached out to the real estate agent that was helping me sell my flips because he was a CCIM which is a certified commercial broker. And I said, "Hey, I don't understand any of this and will you teach me?" and he did. He taught me how to read an income statement and what to look for and all kinds of different things. And then not long after that, he's told me my first apartment building. I did a 1031 exchange and never looked back. Don: How was the first investment? Was it a good investment, a bad investment? Brian: Funny story is I just sold that property like two years ago. So, I kept it for a long time and I was able to do a 1031 exchange into an oceanfront condo in Hawaii where I rent that out and, maybe one day I'll even be able to move into it. Who knows? Don: We all have dreams. Being busy in real estate, you never stopped working. So, I know we talked a little bit before the show started. I asked you about the ways that you make money when you own such a massive portfolio, but most of it you syndicated. So, most of it, you had to raise money. And you had to structure a deal in which your investors are being paid first because I know you care about your investors. So how do you make money? How much money do you make on these types of deals that you're acquiring? What are your goals for the future as far as your financials? Brian: I started just entirely doing things with many of the resources that I could collect together. My first single-family investment was done with seller financing and then after that, I was like cash advance credit cards and getting signature lines of credit and all crazy kinds of things. I always tried to learn by putting my own money at risk. Then once I figured out how to do it right, I would go to investors and have investors invest. It took me about 12 years to start raising money from investors. And I did it for my single-family business.  First, I raised a blind pool fund and I split the profits 50-50 with my investors while we were flipping homes, and then when we move into multifamily, we're seeing a lot of money from investors. If you're going to buy half a billion dollars in real estate, it takes a lot of capital to do that. We were fortunate that a lot of investors were interested in partnering with us and putting up capital. So generally, the way we work it is the investors provide most of the capital for any multifamily acquisitions that we acquire. And in exchange, the investors get all of the profits until they've received a certain rate of return. Turn, once they've received that specific rate of return, then we start splitting in the profits and our splits usually start around 30% of the profits as the return goes up, then our split can get a little bit higher than that.  But generally, our investors always get the majority of the profits, and they always get paid first. So, this isn't a big cash flow business for us. I know a lot of syndicators out there, who'll just have a profit split day one where every dollar that comes in some goes to the investors and some go to the sponsor. Ours doesn't work that way, the investors get a preferred return where they get all of the cash flow until they've received a threshold return and then we start to share. So, we keep the lights on here by doing house flips and having other multiple streams of income. For example, us building homes here in our community and the fire damage lots is another source of income and we have a lending company which is another source of income.  Occasionally we sell our multifamily properties and that's when we get paid. We get a payday, not a paycheck. It's not quite as lucrative as many people would think, but eventually, you get there and profit potential is enormous but you never realized that until you start performing for your investors. Don: Okay, so let's talk about the way that you structure your deals with your investors. So, they're getting a preferred return. I guess it's 8% right that's the classic return that they get? Brian: Yeah, ours is 8% general. Don: 8% and then that's going to be a preferred return which means they get that right away as they invested the funds or a little bit after right it could be two or three months after, right? Brian: It doesn't mean anything, they may never receive it. If the dealer loses money and never makes money from day one, they never see a dime. But the way of preferred return works is that the investors get 100% of the cash flow until they've reached that threshold return and that's a cumulative return. So, if you invest today, in the first year, the deal throws off no cash flow, you get no cash flow. But if the second year it throws off 4% you get 4%. In the third year, throws off 8% you get 8%. In the fourth year it throws off 12%, you get all 12 because we still owe you 4% from year two and 8% from year one. So, if for two more years after that it still produces 12%, those two years, you're still getting 12% that makes up the 8% from the first year. And then after that, dropped to 8%, we'd start splitting the difference of what goes over 8%.  So, a preferred return is often confused with a dividend and it's they're not the same. A preferred return just means that you're first in line for all cash flow until you receive your hurdle rate. It doesn't mean that you're going to get distributions right away equal to the preferred return. It just depends on what the property is throwing off cash flow wise. Don: Yes, thank you for clarifying that. Now, I know the investors are putting all the down payment and the capital expenses for repairing the properties and improving the properties. And so, they also get a share of the profits of the entire purchase. So, you're offering your investor 70% 30%? Brian: First, they get 100% until you reach that 8%. So, if they haven't been distributed the full 8% through cash flow during the ownership period, then that's where you catch it up. As you take your sales proceeds, you catch up on your preferred return first. After your preferred return is fully caught up, then any sales proceeds remaining after that are split according to whatever the waterfall is. And if it's 70-30, 70% goes to the investor 30% goes to the sponsor. In our case, we have a couple of different hurdle thresholds where it's 70-30, typically to a 12. And then after a 12% return, anything that goes above a 12% return is then split 60-40. And anything that goes above a 15% return if you actually can ever get above a 15% return, if we do then whatever a little amount goes over would be split 50-50. That's the way at least three quarters to 80% of our deals are structured that way and of course, every once in a while there are slight variations on that theme. Don: So, at the end of the entire purchase in the cycle of purchasing a property, renovating the property, stabilizing it, and then you refinancing the properties or you're selling them? Brian: If we're going to hold over three years we like to refinance and return capital to investors. But if we can sell, we will. I always like to say that we're a buy and watch investor, we don't necessarily buy to flip and we don't necessarily buy to hold. What we do is we buy the asset we watch, we improve the asset, and we watch the market for the most optimal exit point. And generally speaking, the most optimal time to exit is going to be right around year two and a half, two year three and a half, right around that point after you've fixed up units and fixed up the outside, you've increased the income, you've pumped the value.  That's the inflection point where now the business plan would switch from things we physically do to just simply relying on the market for anything additional after that point. And when we reached that inflection point, that's usually when we like to sell. But if the market isn't cooperating and we don't think it's the right time to sell then we won’t sell. We can refinance, return some capital investors, sit on it for another year or two or three until the market is ripe for a sale, and then we could sell at that point. Don: What would you say you're typically improving the property like as far as the value goes? So, let's say you purchase a property for 10 million. After all the renovations and after improving the property, what would you say, percentage-wise, is the new value that you guys can bring the property to? Brian: On stabilization, we're looking for at least a 20% lift that includes, over and above the renovation. So, if we bought a property for 10 million, and then we put 2 million into it, or 12, then you'd be looking for somewhere around a $2.4 million increase. So, you'd be like 14.5, maybe 15 million to exit. So, we're looking for the kind of like that 20% or more lift within that stabilize period. Don: Of course, we got 2.4 million in profit, 30% of that is going to go to the sponsor or is considered profit for the sponsor after the deal is completed, right? Brian: First, you have to catch up with your 8% preferred return. So, let's say you distributed no cash flow during that period. For example, let's say it was a real deep value add and wasn't throwing off any cash. Now the first thing you'd have to do is give 100% of it to your investors until they got an 8% return. If it was three years' worth of time, then that's 8% times three. That goes off first, and then after that, whatever cash is left is what goes into the split here. Don: So, assuming you were cash flowing, and you managed to pay the preferred return during the entire process, and they always got the 8%, right? Hypothetically speaking, so you would be making 30%. Brian: That's right Don: Of the amount that you generated, which is 2.4 million in case of buying a property for around 10 million. Brian: And yeah, so you're looking at maybe $750,000. Could be your potential payday for the value created. That's right. Don: Yeah. So, it's just a matter of being able to get into a few deals like that every year, and then the profit as a sponsor, right as an indicator, the product It is down the line, a few years down the road. Brian: Yeah, that's exactly it. Like I said investors want to see their sponsor is getting a payday, not a paycheck. If you perform for them, then you do well. And if you don't perform for them, then you don't do so well. So certainly assuming you did your job right, the profit potential is pretty substantial. Don: But, something Robert Kiyosaki changed my life twice. Once was when he wrote 'Rich Dad, Poor Dad.' We all did read this book and got influenced by it. And if you didn't, then you should, because it's like I would consider that the Bible for real estate investing and investing in general. The second time he changed my life was actually when he wrote his book 'Fake,' which he talks about how money is not real and how money is a depreciating asset and why you should never have it, why you should never hold any money. And that's so true when you are trying to get wealthy and I think it's something you understand once you've made some money in your life because you realize that it's not real. But the things that money can buy, it just pays the bills. But if you try to get rich, then the only way to do that is to equity, which is what you're doing right? Brian: That's exactly right. Don: I think once this light bulb goes off and you get that principle, then you're okay with putting all the work and assembling a deal and improving the deal and stabilizing these properties that you're buying, just so you can get wealthier down the road. Because in theory, you are already wealthier because you have equity in the property. So, it doesn't matter. Brian: Yeah, you've got the equity and assuming that the market doesn't turn against you and take the equity back from you, that's happened before too. You saw what happened in 2005 through 2007. Equity is fleeting, so it's 100% true, everything you just said. But there is something to be said for keeping some cash for a rainy day and always having reserves and kind of living a little bit of a low leverage lifestyle. The people with the most leverage were the ones that got hurt the most. And it's funny when you live through an economic downturn like I have and managed to survive it, you see the risk that leverage ads and so you have to strike a good balance and you want equity and you want to use debt smartly to help improve your position.  But at the same time, you don't want to over-leverage and you want to keep a safety net. You get it, you guys have built your business completely with equity without debt here so far and seeing what that's enabled you to do. And now you can use debt smartly, to help grow your portfolio. And I think everybody needs to watch that as an example of how to do it the right way, and the safe way. Don: Yeah, I think the main reason why we were able to pull this off was that we were making money in two streams, right. So, one stream was our business, our wholesale business, which created nice paychecks and nice paydays the way you call it before. And it's an accurate way to call it because when you make paydays, then you're able to buy properties and create wealth. And so that was the second way that we've created the portfolio that we own right now, through equity. The equity is the transactions that we made. We never live a lavish lifestyle. And it's different than most people here, Miami because, I don't know if you've been here but if you drive in the streets here, then you're going to see a Ferrari or a Lambo everyday second turn. And that's a lifestyle in Miami.  Being a successful investor here in South Florida, we were able to resist that temptation, to invest the money where it should be parked, which is, in my opinion, real estate and stocks and property and equity. There's a beautiful saying that affected me tremendously, "Rich people are busy making money while poor people are busy showing off money that they don't have." Brian: Right. Yeah, you could certainly see a lot of evidence of that around, that's for sure. Don: Definitely. And especially today with social media, everybody's trying to show off, everybody's trying to faking it till they're making it. You're not going to make it, you're going to blow your first 10K on a Rolex. You should be blowing it on education. That's not even blowing it, that's investing and that's the difference, right? So that's what I think like an investor as I'm growing. Of course, I still have a lot to learn and I interview people like you, people that have made it bigger than me, the people that come to the show they have the same perspectives and the same lifestyle as well. Brian: It's just a matter of prioritizing and realizing that the first thing you've got to do is invest for your future. And it's like I spent almost every dime I had investing in more real estate and more real estate. And so, it's enabled me to accumulate a fairly large portfolio of rental homes just for my own, basically, my retirement plan. I don't get any cash flow off of them because I had them all financed on 15-year loans. So that way, they'll be completely paid off when I'm ready to step back and slow down. And it's a sacrifice now because if the property needs to be repaired, I'm probably pulling that repair out of my pocket and kind of negative cash flow, but I look at it as like a deposit into that savings account, right? And then eventually I'm going to have 40 or some rental units that will be completely paid for and cash flowing for me with no debt and right at the time, I would need it the most. So, it's sacrifice now, but it's a payoff later. Don: Definitely. So, let's talk about the future that a bit since we're already talking about it. What would your thoughts on the multi-family market right now and where it's going because I know it's a little bit overheated, a lot of people want to buy multifamily? And I know people buying properties for five and a half cap rate, which is pretty expensive in my opinion. What do you think about the market and where it's going? Brian: Yeah, you're right, the cap rates are low. And we're buying stuff at five and a half and six caps too. So, I get it, it's where the market is right now. And certainly, real estate is desirable, but it's desirable for a reason. And then, the reason is supported by fundamentals. And that's why pricing is so high right now. And one of the most common questions I get is, what inning are we in and everybody wants me to say that we're in the eighth or ninth inning and this is all going to change soon there's going to be a big downturn, you're going to be able to come in and scoop up properties at a big discount. I just don't believe any of that's about to happen, and doesn't matter what anymore because anybody knows that a game can go into overtime and a game can be rained out early, and can't just say that every game nine innings.  So, we're not at the bottom of the cycle. And if we are at the top, what does the top look like? I think that a top when we reach one if we haven't already, it just looks like a plateau in pricing where we take a pause and the economy catches up to where we are and valuations are still fully supported with incomes right now, even where they stand today. So, I don't think there's going to be a big downturn or a big buying opportunity anytime soon like some people are holding off for. When that does happen, maybe prices have gone up another 20% then they fall 10%. And if they would have got in today, they would have made 10%. But instead, they're going to buy them and gain nothing. So, we're still buying and I think one of my defense mechanisms is to buy in strong markets that have population growth, job growth, and income growth and that gives me a hedge against the downside. I think it's important to do that. It's tough out there. We have to look at about a thousand deals to buy one. Don: It looks like a shiny market. Everything's growing. The population is growing. The jobs are growing and so yeah, everybody would probably want to buy it there. But we're already talking about that, what would you say that market is? Where are you looking right now for properties? Brian: We're looking in Phoenix, Arizona, Las Vegas, Nevada, Atlanta, Georgia, northern and central Florida, specifically Tampa, Orlando, North Carolina, such as the Research Triangle market, Charlotte, a little bit here and there of Texas. But I think Texas is way overbought. So, we're kind of scaling back in Texas. We still own there, but we're net sellers in Texas. I love to find something in Nashville, but there's very little product coming out of that area. So primarily, I think, Arizona and Nevada, Georgia and Florida are primary markets. Don: So, you're looking at a lot of markets, and how do you analyze all the deals that are coming your way? I guess you got to have some help, right? Brian: Yeah, we've got a fairly robust team here. I've got two other guys on the acquisition side and one analyst. So, we've, every time a new opportunity comes to us, my chief investment officer will do a quick prescreen. If it passes a certain series of tests, it goes to our analysts to build a financial model. And then it goes back to our chief investment officer or our CFO who is like a co-Chief Investment Officer. And then they review the deal and tour it and talk to the brokers and run the comps and tour the comps and do all those other tasks. Our businesses grown pretty substantially, we're vertically integrated. So, we have our own management company and we manage our assets, which means we have employees on the ground, in all the areas where we operate.  So for example, we toured a couple of assets the other day, and it just turns out that we had our manager go with our acquisitions guy and manager knows the manager of one of the properties because they used to work together at one of our properties actually, and so, we have kind of a little bit of good rapport there and can learn more about the property because those relationships. So, we've well ingrained in the markets that we're in, we have people on the ground and the markets that we're in, and we have full control over the whole process. So I'm lucky that between me and my CIO, my CFO and the CEO of my property management company, between the four of us, we have 100,000 units of multifamily experience going back as long as 40 years and it gives us a good leg up on being able to stay on top of the markets in the assets. Don: That's not something you can easily find as an investor or a passive investor who's looking to invest with a sponsor. I mean, your team sounds very professional and experienced and you guys are exploring many markets and have years of experience. So, if I was looking to invest as a limited partner, I would give you guys a call. And speaking of which, if anybody wants to connect with you and get to know a little bit more about what you're doing and your projects and your future deals, what would be the best way to do that Brian: Probably the best way to reach us is through our website. Which is PRAXCAP.COM or a company's Praxis Capital and our website is P R A X C A P. C O M and on there, there are contact forms and you can fill out and our senior vice president and investor relations will set up phone calls. And we'll get to know you and establish your relationship before we start talking about deals. That's probably the best way. You can also find me on biggerpockets.com which is a real estate forum website where people ask questions and get answers about all kinds of real estate topics. I'm pretty active there and love to answer people's questions on that website when they post in the forum. So those are probably the best two ways. Don: All right, Brian, awesome. Thank you so much for that. And thank you so much for the insights that you gave us today. And of course, most importantly, time is the most valuable asset and therefore I want to thank you for investing the time to come to the show today. We appreciate it. I hope you're going to have a great day. Brian: Thanks, Don. I appreciate you having me on the show. I had a great time and humbled and appreciative to be a part of it. Thank you for having me on. Don: You're welcome. Thank you very much, Brian. Brian: Sure thing. Lady: Thanks for listening to the real estate investing podcast with Don and Eden. Stay tuned for more episodes. Till next time!

Experiencing Data with Brian O'Neill
024 – How Empathy Can Reveal a 60%-Accurate Data Science Solution is a Solid Customer Win with David Stephenson, Ph.D.

Experiencing Data with Brian O'Neill

Play Episode Listen Later Oct 22, 2019 35:21


David Stephenson, Ph.D., is the author of Big Data Demystified, a guide for executives that explores the transformative nature of big data and data analytics. He’s also a data strategy consultant and professor at the University of Amsterdam. In a previous life, David worked in various data science roles at companies like Adidas, Coolblue, and eBay. Join David and I as we discuss what makes data science projects succeed and explore: The non-technical issues that lead to ineffective data science and analytics projects The specific type of communication that is critical to the success of data science and analytics initiatives (and how working in isolation from your stakeholder or business sponsor creates risk)) The power of showing value early,  starting small/lean, and one way David applies agile to data science projects The problems that emerge when data scientists only want to do “interesting data science” How design thinking can help data scientists and analytics practitioners make their work resonate with stakeholders who are not “data people” How David now relies on design thinking heavily, and what it taught him about making “cool” prototypes nobody cared about What it’s like to work on a project without understanding who’s sponsoring it Resources and Links DSI Analytics Website Connect with David on LinkedIn David’s book: Big Data Demystified  On Twitter: @Stephenson_Data Quotes from Today’s Episode “You see a lot of solutions being developed very well, which were not designed to meet the actual challenge that the industry is facing.” — David “You just have that whole wasted effort because there wasn’t enough communication at inception.” — David “I think that companies are really embracing agile, especially in the last few years. They’re really recognizing the value of it from a software perspective. But it’s really challenging from the analytics perspective—partly because the data science and analytics. They don’t fit into the scrum model very well for a variety of reasons.” — David “That for me was a real learning point—to understand the hardest thing is not necessarily the most important thing.” — David “If you’re working with marketing people, an 80% solution is fine. If you’re working with finance, they really need exact numbers. You have to understand what your target audience needs in terms of precision.” — David “I feel sometimes that when we talk about “the business” people don’t understand that the business is a collection of people—just like a government is a collection of real humans doing jobs and they have goals and needs and selfish interests. So there’s really a collection of end customers and the person that’s  paying for the solution.” — Brian “I think it’s always important—whether you’re a consultant or you’re internal—to really understand who’s going to be evaluating the value creation.”— Brian “You’ve got to keep those lines of communication open and make sure they’re seeing the work you’re doing and evaluating and giving feedback on it. Throw this over the wall is a very high risk model.” — Brian Transcript Brian: David Stephenson is the author of Big Data Demystified, and he’s a consulting data strategist primarily working out of Europe. I’m excited to have my chat with David on the show here today because I think David has a really good way of connecting a highly technical background with the business and kind of act like a bridge between these two departments. Brian:    All right. David, are you on the line? David:  Yes, I’m here. Brian:    I’m super excited to talk to you. So we have David Stephenson, the consultant and author of Big Data Demystified. we met through, somehow we met, I think it was on LinkedIn originally. And you also run Predictive Analytics World Conference, in the UK edition, correct? David:  Yeah, that’s right. Brian:    Awesome. Tell people a little bit… I gave you an intro there, but it’s always better from the horse’s mouth. So tell, tell us a little bit about what you’re what you’re up to. David:  Yeah, sure. Um so I used to run global uh business analytics for the eBay classifieds group and then uh started off on my own a couple of years ago and have been doing consulting uh mostly around Europe in uh data strategy, data science program developments. And then recently uh published a book also on the topic uh with Financial Times Press called Big Data Demystified. I was just doing a lot of work between speaking and teaching and training and consulting with companies, really focused on uh developing how they use data and analytics and helping them reach the next steps in that. So it’s been keeping me, keeping me quite busy recently. Really enjoy it. Brian:    Nice. And how did you get involved with the… I don’t know if, do you guys say PA or predictive analytics? David:  Yeah, yeah. Predictive analytics world. Yep. Brian:    How did you get uh involved in that? David:  Yeah, I’d been speaking at quite a number of conferences and the um the PA conferences were some that I was speaking at. And I’d spoken with the organizing company, Rising Media. I’d spoken on three of their conferences and at some point they contacted me and said, “You know, we’ve enjoyed having you speak with us all this time and we’re looking for a new conference chair for the London uh predictive analytics world. Are you interested?” And uh after you know so many years of going to conferences and thinking, what would I do better? What would I do better? I thought this is finally my chance to, to do everything that I’ve wanted to do to make conferences better. Uh yeah, so I said yes. So I’ve been doing it now, I’m going on my second year. Brian:    Nice. And like could, even though we’re probably not going to go way deep into PA, but what did you want to make better or what have you made better? Like what was wrong and that you wanted to change? David:  I was frustrated with the combination of the choice of who would be on stage. Brian:    Mmhmm. David:  So there’s a lot of emphasis on just let’s get you know a well-known company or someone who just has the name recognition without really focusing on quality contents. For me as a practitioner, I really wanted to make sure, look we’re going to have two days to select speakers. Let’s get speakers up there who are really going to give valuable content. Because I was frustrated in going, I’d go to so many conferences where out of you know out of 15 talks there’d be one or two that I thought were valuable. And I thought, okay, I’m going to get a conference going where almost all the talks are really high valuable talks. Brian:    Mmhmm. David:  So that was for me the big opportunity. Brian:    Make it the conference you want to go to kind of thing. David:  Exactly, yeah, exactly. Brian:    Be the change you want to see in the world as they say. David:  Yeah, no it was a good opportunity. It’s been a ton of work, but um yeah I’ve enjoyed it. Brian:    Excellent. Excellent. Cool. So jumping in, I have a ton of questions for you. I hope we can we can fit them all in. Uh you came recommended to me um from a previous guest and friends and I was excited to talk to you. So I also notice you know in your work you practice design thinking. So I want to jump into that in a little bit. The first thing I wanted to ask you though is, um there’s so there’s a lot of technical knowledge required to do you know data science and analytics effectively. Can you talk to us a little bit about the nontechnical knowledge that’s required to make solutions that are obvious, they’re usable, useful value is created, that kind of thing. What’s missing here? There there’s a high failure rate in this industry for projects. Talk to us about these nontechnical skills that are also required. David:  Yeah, I know that’s a great question and I think that’s where we’re having a lot of trouble when we look at the industry, right? The stakeholder management is really difficult because, you know as you’re a technical expert, you’re really focused on how to do these you know very technical, whether it’s an analytic model or some type of software design or software implementation. But so much of what we do in a business environment, in an enterprise environment is understanding the stakeholders, understanding what the real challenge is, and then also communicating with them throughout the process. Especially at the beginning with this design element where you’re really understanding what’s happening and your starting to produce the right solution. And you see a lot of solutions being developed very well, which were not designed to meet the actual challenge that the industry’s facing. So yeah, that’s a that’s a huge thing. Brian:    You don’t have to state any names or anything, but can you give an example of a… You said something was being designed well, which I assume means technically it was being designed properly, but it wasn’t communicating its value. Its value wasn’t inherent, uh inherently obvious to the consumer. Have you had a situation where you’ve come in and it’s like, whoa. And then like what would that before and after kind of look like? David:  Yeah, no, there’s quite a bit quite a bit of that. Um like for example, you’ve got, I had one situation where the customer said, “Look, we need a certain solution to advise on how to change a product. You know we have limited resources for enhancing a product in different areas. Can you advise-” Brian:    A digital product? David:  No. No, actually um a physical product. Brian:    Okay. David:  Um and so they said, “Look, we’ve got limited resources for enhancing these.” And then you know you’d start to work on this or you know third parties would start to work on this challenge and then they’d deliver it maybe two months later and say, “Here’s our recommendation of what to deliver.” And then you’d speak with the person who would actually implement that solution and they’d say, “Oh, I didn’t mention to you that you know here’s an additional limitation on which products we actually physically can improve.” And you just have that whole wasted effort because there wasn’t enough communication at inception. Brian:    Throwing it over the wall kind of model. David:  Yeah, yeah. Brian:    Like let us know when it’s done. David:  Right, right. Brian:    Yeah. David:  And then they end up delivering something which wasn’t practically usable. Brian:    Got it. So how, how do you approach this with… You know you hear this repeated problem, which is a lot of places want to jump into using advanced techniques you know or the business stakeholder might request machine learning or request AI. And so, and then maybe there is an opportunity to actually use that tool for a good reason. But then it’s like, “Oh wait, we don’t have the data infrastructure in place to do any of that.” So like level one is like now we have to create the pipelines and all this kind of technical stuff that needs to be built out. How do you approach, because you’re talk… I know design, so this is preloaded with the fact that you know something about design thinking and and that you probably know about moving in small increments. So how do you how do you show value soon and maybe work in a small increment where progress can be seen when there is maybe a large technical requirement that needs to be there before any of the quote useful cool stuff can be delivered. How do you do that? David:  Yeah, no that’s great. And that’s super important to show value soon. Um and again, I mentioned this also like in one of the chapters in my book and there’s a couple of reasons for that. You know one is because um the more often you cycle back to your stakeholder, the more closely aligned you are with their needs. But also if they haven’t communicated clearly to you and you start to give them intermediate results, that gives them a chance to refine what they want and to clarify that and to kind of keep thinking with you, right? Uh so you really want to get back to them as quickly as possible with small results, right? And there’s different ways to do that. Typically what you do is you take a small sample of the data or a small subsection of the challenge. David:  Uh for example, instead of covering you know the whole world for a company, you know all the different markets. You say, “Okay, I’ll take this one small market, um you know this one European country in this one product. You know two weeks from now I’ll give you an estimate of what your solution would look like in this one limited area.” And then you do that and then you get some iterations and then, then you say, “Okay, we’ll do a pilot stage from the proof of concept.” And go to a pilot stage, where you’ll say, “Okay, I’ll give you the full solution just for this market, but it’s the full solution.” And then you iterate into kind of finally production for the full range and such. But this iteration going from proof of concept to pilot to full deployment to automation uh is a way to kind of step through that process. Brian:    Yeah. This kind of reminds me of, I think it’s the thirties Jason Freed quote, like build half a product, not a half assed product. David:  Yeah. Brian:    And also this concept of agile, right? Which you know I saw this really well illustrated one time and it was like, it was a picture of a car from an agile perspective and like stage one of the car was like the Flintstones car, right? David:  Mmhmm. Brian:    And then stage two was the automobile we picture in our head. The non-agile way of being a car with no front wheels. Like it’s David:  Many axles no front wheels. Brian:    Wheels… But it’s all polished. It looks like a modern automobile, but it’s not, it’s not a working, there’s no value there, right? You can’t actually drive and you can’t transport yourself somewhere with that. So that’s not, you know anyhow. So that kind of reminds me of what you’re saying there. Showing showing some value on a small scale. Um you know- David:  No and I think that companies are really embracing agile, especially in the last few years, right? Brian:    Mmhmm. David:  They’re really recognizing the value of it from a software perspective. Brian:    Mmhmm. David:  But it’s really challenging from the analytics perspective Brian:    Mmhmm. David:  For a couple of reasons. Partly because the data science and analytics, they don’t fit into the scrum model very well for a variety of reasons. Brian:    Mmhmm. David:  And the other thing is, uh people who really love this field, they want to do the cool work, you know they want to do deep learning, they want to do advanced models. Brian:    Right. David:  And when you tell them like, “Hey, just give me you know a really super simple data driven model that you know meets 60% of the solution.” Um a lot of these guys who are just focused on machine learning, that’s not what they want to do. They want to jump straight to the cool stuff. Brian:    Mmhmm. David:  So I find in the projects that I do at the beginning, a lot of it is just kind of talking people down and saying, “Look, let’s start simple. Let’s not boil the ocean at once. Let’s not start with the most advanced models.” For some people that takes a bit of convincing. Brian:    Is that cultural at all? Is it tied to the amount of academic background they have? Like do you see a pattern that goes with that or is it just a seniority thing? I hear that tends to be more at a more junior level people that are closer to being out of school. Do you see a pattern or trend there? David:  Yeah, no that’s a good question too. There’s two things. Um sadly, part of it is simply that uh a number of people I’ve talked to would say, “I only want to do interesting work.” Brian:    Mmhmm. David:  You know their goal is not to first and foremost bring business value, Brian:    Right. David:  But they want to do work that’s interesting for them. And for some people that’s simply it, and as a manager, as a leader, you have to get people in place who are aligned with your business needs. Brian:    Mmhmm. David:  Because not everyone with the skills is. You know? And some of them will be very forthright about it. They’ll say, “Look, I’m not interested in that work because it’s not interesting.” And the other thing is the seniority. I think the longer people are around, the more value they recognize. Two things. One is from the basic models. You know just there’s so much work that’s, so much so many projects that’ll work fairly well with just a simple regression or Bayesian model. And the other thing is just taking the time to say, “Hey, I’m you know I’m going to do the simple iteration uh and not spend three months developing something before I deliver it.” Brian:    Yeah, I can understand that. So I’m curious, do you feel the solution when that kind of problem happens uh is to train and assist those technical people in learning how to broaden their skill sets so they realize you know value was not entirely driven by the technology portion? Or is it like you really just need to bring in a different role entirely, like or meet in the middle somewhere? Like how do you address that? David:  I think at a leadership level you have to find the leaders who already understand that. Um and then the people who are more junior, those are the people who need to learn it. I mean, I’ll just give you a basic example. I mean in years past I worked in quantitative finance, right? So we would um we would value these financial products like interest rate swaps and you know foreign exchange swaps and such. David:  And I remember valuing some of these and there would be two parts of it. One was the foreign exchange and one was the interest rate for uh cross currency swap. And the one part was super hard to do and the other part was really easy to do. And I’d get stuck on the really hard part. You know I’d be focusing all my time on that. And at some point my manager who was an MBA and not super technical you know came to me and said, “Look David, you know this, the simple part that’s 98% of the risk, you know and the complex part you’re focusing on, that’s only 2% of the risk. So you know it doesn’t matter if there’s a huge error with that part, just get the simple part right and we’ll essentially get most of the risks um quantified.” Brian:    Right. David:  So that for me was a real learning point. Brian:    Mmhmm. David:  To say, okay, understand what’s the hardest thing is not necessarily what’s the most important thing. Brian:    Right. Not to mention most places are happy with a 98% test score. David:  Exactly. In this area, right, right. Brian:    We’ll take 75 actually. David:  No, and that’s the thing, and that’s important to know you’re uh you’re stake owner too because you know if you’re working with marketing people, you know an 80% solution is fine. Um if you’re working with finance, you know these are the guys who really need exact numbers. Um so really you have to understand what you know what your target audience needs in terms of precision. Brian:    Yeah. Yeah. Tell us a little bit then about, uh so I brought this up earlier, the concept of design thinking and how it can apply to you know data science and analytics work. How are you applying that in your in your consulting work? David:  Yeah, no this is something really I’m focusing more and more on now because you’ll see this… Gartner has a nice visualization where they show design thinking, uh iterating into um uh the prototype phase and then iterating into the production phase. And the idea is that um you know we all sort of know, have proof of concept is important the prototype before we go into production. So we’ve all recognized that. But what we’re really missing a lot is, is that initial stage, where you’re this design stage where you’re saying, “Look, what is my real business challenge um and what’s the solution that’s really going to address that?” And taking time to get the right people in the room to get the right processes in place so that you’re starting down the right path even before you start to build a prototype. Because just from experience, I’ve seen this where, you know I was all proud of myself a few years back because I made this awesome prototype Brian:    Mmhmm. David:  You know of something very quickly, very powerfully. David:  And I thought, “Oh, this is great. I’ve done such a great job with this.” And then by the time we went to deploy it, a few months later, they shut it down because it wasn’t meeting the need of the company. And I thought to myself, you know if I’d really taken the time um rather than just going with what the company asked me to do, because you know the CTO had said, “Let’s build this.” And so I was like sure, let’s build it. It looks cool. If I’d instead stopped at that point and said, “Look, let’s first go through the design process,” and figure out what we really should be building before jumping straight into the prototype. We would have saved a lot of time and effort. Brian:    Yeah. One thing I fully agree with this, this process. Have you ever tried using, um you know for example if you’re building a predictive model for something, is prototyping something out that doesn’t even use data like and I’m particularly thinking about solutions where there’s going to be some type of visible user interface here, but actually using mock ups of the of the design in order to tease out whether or not the intended end user might use this. How are they going to react if they see a number that they don’t expect or it’s unbelievable information so that you can figure out how might we need to present this in a way that they will actually believe it if the real data actually ends up generating these kinds of results so that you can plan for that kind of contingency ahead and you don’t end up you know with the head scratch or the unbelievable reaction. Is have you worked that approach before? David:  So that I haven’t done in terms of you know testing the end user’s response. Brian:    Uh huh. David:  There’s definitely this method, you know the smoke testing where you put a feature out that doesn’t really work just to Brian:    Right. David:  To see what kind of leverage it generates and such. And we’ve done other work where instead of using a model, we used user responses to gather information Brian:    Mmhmm. David:  In various ways. There’s several ways we’ve done that. Um but just what you’re describing now, I don’t think I can’t think of a case where I’ve done that particular application. Brian:    So when you talk about needs and you know empathizing with the customer, can you talk about like the end customer versus the business sponsor? I feel sometimes that when we talk about, “The business,” sometimes people don’t understand that the business is a collection of people. Just like a government David:  Mmhmm. Brian:    Is a collection of real humans doing jobs and work and they have goals and needs and selfish interests and all these kinds of things. So there’s really a collection of end customers and the person that’s you know paying for the project. Brian:    Do you integrate that in your work and how do you how do you think about that when you’re when we think about empathy, you know which is early upstream in the design thinking process. David:  Yeah, no that’s a good question alright. Um and as a consultant, it’s always a bit tricky. I once did a project where I misunderstood who my actual budget sponsor was. Brian:    Mmhmm. David:  And I found that out a little bit too late. So, you know I spent all my time kind of tailoring to the needs of one person when you know and then several weeks or months later another person informed me like I’m actually you know your budget sponsor here. Um yeah. Brian:    And did they have different needs? It was like they had different needs. David:  Well but also it’s… Yes, slightly different needs, but also it’s very important that you maintain close communication lines. Brian:    Sure. David:  Right? Um so I find for myself, typically when I’m on a project I’ll have uh I’ll have projects who have different stakeholders than necessarily the budget holder. Uh and that’s typically, you know I’ll work with a budget holder to clarify expectations. Brian:    Mmhmm. David:  You know where should my priorities be. Um but the stakeholder for a specific project is typically the person who I’m aiming to make sure I satisfy you know their requirements and such. Because what we normally establish is that look, if this stakeholder is happy with the results then the budget holder will also be happy. David:  Uh the difficulty happens when there’s a conflict of interest there. Brian:    Right. David:  You know and one person is clear about wanting one thing and the other person has a different view on it. That doesn’t happen so often, but from time to time it does. Brian:    I’ve been in that situation before. And you know engineering’s paying, you’re paying for your nut and you’re working with product management or you know some other department and because of those lines. But I think it’s always you know important whether you’re a consultant or you’re internal to really understand kind of who’s who’s going to be evaluating the value creation here and understanding what they’re looking for is definitely important. David:  Absolutely. Brian:    Or else your chance of failure is is high. David:  Yeah absolutely. Brian:    And it shouldn’t be silent, be be uh suspicious of silence. And when there’s not a lot of communication that’s… It’s always a risk for me. I just literally checked in with a client today because I’m not working with you know the stakeholder the main stakeholder, I’m working with her team and everything was fine. But it’s you know when you’re not hearing questions and stuff that’s, it’s you got to keep those lines of communication open and making sure they’re seeing the work you’re doing and evaluating and giving feedback on it. Uh this throw over the wall thing is a very high risk model. David:  No, it’s totally true. And I do, one of the things I do is I train uh junior data scientists. I do that on a regular basis. And one of the things I tell all the classes is, “You know make sure you put in a recurring appointment with um you know the project owner, Brian:    Mmhmm. David:  The sponsor um and if it gets canceled, you know reschedule it,” Brian:    Yeah. David:  Because you can’t you can’t afford to lose contact like regular contact with a sponsor. Brian:    Mmhmm, Mmhmm. We talked a little bit about this when we originally got on the phone about you know what’s going on in the industry with selling products and platforms versus you know focusing on outcomes and results. Uh the industry helps us build things. Um things don’t always turn into value. So do you have some advice on how to approach this? And I’m not saying that all products are bad and platforms. I mean without some of these this new technology, none of this would be possible. At the same time, you know in the conference halls and you know a lot of people that I’ve talked to feel like, you know basically that the large platform providers are making out like bandits and yet every year at Gartner is like, “Oh, 86% of projects will fail this year.” And it’s like, “Hmm, someone’s making out really well here. What is going on here?” Like- David:  Yeah. I think part of the issue is that you know it’s this thing where you can delegate um authority but not responsibility. You know and people, it’s really tempting just to say, “Okay, I’m going to pass off this challenge to a product. You know um I don’t really understand how to address this product or to address this challenge. So I’m going to buy a product which says it’s going to meet the needs.” And then later… And you don’t even know how to evaluate it because you didn’t know how to do the problem in the first place. Brian:    Mmhmm. David:  So I think that’s definitely dangerous. Um and you see different tools. I don’t want to name any tools, but there’s definitely tools out there that sell sort of the AI solutions. David:  Um and when you back test them, you’re like, well, what is this really providing me? You know it’s perhaps it’s a terrible model. Brian:    Mmhmm. David:  Um and maybe the vendor even knows it’s not a good model, but it’s their model, they’re selling it and we’re buying it. Um that being said, I mean if you understand the challenge and you know what you’re buying, then it is a way to move very quickly. Brian:    Right. David:  You know, it’s a way there’s certain tools which will let you automate repetitive work um and that’s you know that’s a big payoff, right? If you know what you’re getting. But there’s definitely a lot of snake oil being sold now in the market and I see that come up also. Brian:    So let’s jump over to um skill gaps. You were talking a little bit about some of the training that you offer so what if you’re offering training, it generally implies that there’s something missing there. What’s missing that needs to be filled in? David:  Yeah. There’s a couple of things. One is that there’s a tremendous number of people, at least over in Europe who um haven’t been really trained solidly in analytic skills, Brian:    Mmhmm. David:  But they sort of go through bootcamp and then crossover into this analytics slash data science space, right? Brian:    Mmhmm. David:  So these guys are missing a lot of fundamental skills in terms of mathematics, statistics and computer programming, right? Brian:    Mmhmm. David:  So that’s the basics. I don’t do a lot of training in that myself Brian:    Uh huh. David:  Just because there’s so many people who can do that. Uh what I focus on more is the business skills of you know once these guys are coming out of a highly technical program or bootcamp um or straight out of university, how can they place themselves within an organization and be effective? Brian:    Mmhmm. David:  And there’s several aspects of that. One of which is understanding that the larger enterprise around them, understanding how different people think, how the nontechnical people operate, what’s important to them. So that that sort of empathy and understanding your place in the company. Brian:    Mmhmm. David:  And then the other thing is communicating. You know and these guys, they tend to have a lot of challenges communicating around them, both in terms of orally but also visually. Brian:    Mmhmm. David:  And part of that is because they’re used to functioning within an analytic ecosphere. You know, communicating with other people like them Brian:    Mmhmm. David:  You know in their programs and such. Um and a part of my training is really to help them understand, look, when you’re doing emails, when you’re doing presentations, PowerPoints, or charts and graphs to people in outside departments, um what is a way to communicate very effectively? Brian:    Are there any particular like repeated things that come to mind in terms of guidance that you give? You know the five bullets or something that you kind of see as a repeating theme around the communication, particularly the visual, but also the you know written? David:  Yeah, no there’s just a lot of different stuff I cover uh to be honest. Brian:    Mmhmm. David:  I mean a lot of it just boils down to understanding the perspective of the people around you. Brian:    Mmhmm. David:  But that encompasses a tremendous amount of of different training materials that I have. Brian:    Right, right. When you have team members that are coming from that background, how do you and the solution that you’re working on has a software component, particularly you know some type of visual component, what is their role and how do you get them up to speed or how do you work with them if they’re going to be involved in that solution that’s going to go out? Is it just take a guess and try? Like if you’re starting out from a pure data science or stats math background, how do you get to that point where you can deliver a solution that may require a software interface? What’s involved in that process? David:  Yeah, so it depends on sort of how it’s being deployed. Um if you’re looking at something that’s going to be deployed as part of a production stack, Brian:    Mmhmm. David:  That’s a long road to travel if you don’t have the software backgrounds, right? Brian:    Mmhmm. David:  Because then you have to know all this stuff about you know the testing, the unit testing, um Brian:    Right. David:  Regression testing, um sort of everything that a developer knows in order to create robust code. Brian:    Mmhmm. David:  Um even then further monitoring and such. Uh and if you come out of a math program or something and you don’t have that software development experience, um that’s quite a bit of training. And that’s actually a big stumbling block Brian:    Mmhmm. David:  For these guys because they know the machine learning techniques and they want to deploy something. Brian:    Mmhmm. David:  uh and they’ll start hacking stuff together with whatever code and then they’ll go to the development team or the IT and they’ll say, “Hey, I built this cool model. Can you deploy it?” David:  Um and there’s no way that’s going to get deployed because it doesn’t meet the rigorous standards that are necessary. Brian:    Right. David:  So on the flip side though, when you have the software developers who already know you know how to make things um robust and such, and these guys say, “Hey, you know I want to try building a regression, building a vision network or something,” um there’s almost a better chance for them to be able to build something that’s deployable Brian:    Mmhmm. David:  Because they at least had that foundation. Brian:    Mmhmm. The um, how does this tie into… Uh so so another kind of topic that’s just been in the ether I guess around me right now is this topic of model trust. Um if you’re coming at it from that technical standpoint uh and if you think or believe that uh model trust is an issue. So this is do my stakeholders believe what I’m showing them. How does that play into your process? Um how do you how do you get to the point where you don’t wait until you have a great model David:  Mmhmm. Brian:    But then you find out someone won’t use it? Um David:  No, that’s a great question. That’s a great question. Um in the past uh I worked with a forecasting project at a client and I had a third party working on something and they went to you know they developed some cool model and they went to the stakeholders and they said, “Look, here’s our forecasting model.” And the stakeholder looked at it and said, “Yeah, okay, that’s kind of interesting. I’m never going to use it.” Right? And then later on when I was supervising a forecasting uh project myself, what I did is I you know I told my team, I said, “Look, the first delivery we give to the stakeholders, make sure it’s something super basic and super obvious you know so that they know exactly what we did, why we did it, and they look at it and say, yeah, that makes complete sense. That’s what I would have done.” David:  You know give them just a basic regression or basic Arma one one model or something, not no bells or whistles. And from there, the next iteration make it a little more complex Brian:    Mmhmm. David:  And then a little more complex because you have to get them on board and they have to be nodding their heads, um either asking like one question at each iteration, like, “That doesn’t make sense.” Or nodding their heads and saying, “Yeah, that makes, makes complete sense.” But if you jump into, if you go all the way to an advanced model, like you said, and try and throw that at them, if it doesn’t make sense and it doesn’t agree with what they already saw, then you’ve completely lost them. Brian:    Yeah, yeah, yeah. Get in touch early. David:  Yeah. Brian:    Stay in touch. You know that’s kind of the kicker there. Do you think this overall trend of success or lack there of, in the industry of, you know, formerly it was big data projects, now it’s AI. Is this trending in the right direction? Like the success rate? I mean it’s been consistently low for a long time. Where’s it going? David:  Yeah, I mean there’s two things to that. One is that there’s always a natural sort of failure rate even with well intentioned and well designed projects. Brian:    Uh huh. David:  But then the second thing is we’re having this difficulty, having a difficulty because we used to be a bottom up push for data science projects where you know, the developers would say, “Hey, I’d love to do this, I’d love to do this.” And the management said, “Stop bothering us and just do your job.” Uh recently what’s happened is it’s been a top down, right? Brian:    Mmhmm. David:  So from board level they’d say, “Hey, we need to start doing something with AI, you know um with machine learning, with big data.” And they’ll start throwing budgets at it. But what happens then is that you’ve got a you know couple hundred thousand or a couple of million from board level coming down to start hiring a team and buying technology. David:  So, these budgets that are made up you know at an annual level, after one or two years of you know building a team of 20 people or 30 people, then the budget’s being renewed and people are going to start asking questions, “What value did we get?” Well, even at the inception, Brian:    Mmhmm. David:  A lot of these teams, there wasn’t a clear mandate for them. There was a top down hope that we could leverage and buzzword, right? Brian:    Right. David:  But two, three years down the line, we spent the millions and we’ve bought the systems and everything. We weren’t really sure from the start why. Um so, of course there’s not tangible value after two or three years and there’s still no tangible direction. And then you start to see these things burnout. You know and you’ve seen, I’ve seen some programs already where after a year or two it’s sort of like where are we going with this? What’s happening? But of course those that really understand what they’re doing and why they’re doing it, of course for these there’s a very real chance of seeing value and you’re seeing a lot of the large companies really capitalizing on these efforts when they initiated the efforts with a clear vision and a clear purpose. Brian:    Following onto that then, do you do you think there’s a place for, sometimes, I call it laboratory mode, right? Which is maybe the business stakeholder understands that you know we’re also a data company. You know everybody says that now. I know we need to be doing something with this, but I don’t understand the technology. I want to know that we’re flexing this muscle, we’re rehearsing, we’re playing scrimmage games. David:  Mmhmm. Brian:    Even if we don’t create value. Is there something there to be to having a laboratory kind of model, which is maybe you do let some of your top talent go try to build a you know a deep learning network or something like that, back out a project from something, not exclusively in their work, but this is like the only 20% time kind of concept. Is there some value in that or do you think it’s unnecessary to be totally playground uh with no no dirt? David:  No, no, absolutely right, absolutely. Brian:    Mmhmm. David:  But this goes back to your design thinking, right? So you want to have that initial impetus. Brian:    Mmhmm. David:  Like why are we doing this? You know where might it go? Brian:    Okay. Cool. David:  Yeah. Brian:    Awesome. This has been like super good talk. Do you have any like closing advice for for listeners? You know we’ve got an analytics data science, technical product managers, some designers. Like I know that’s a wide group of you know listeners, but if you had some closing advice for them. David:  Yeah, I would say just as much as possible to, you know for people who are in the field and looking to bring value in the companies, as much as possible talk to people around you, you know talk to people outside of your team. Brian:    Mmhmm. David:  Outside of your department. Um understand what they’re doing, why they’re doing why they’re doing it, and how you can help or how the tools that you have could potentially help. Because there’s a lot of opportunities you know within companies. It’s just, there’s not that communication between departments. So yeah, I would just really encourage people to keep that communication open. Brian:    Nice, nice. And by the way, how’s the mandolin going? David:  The mandolin, I’m not getting a whole lot of time with it, but I was thinking about it today. So uh more focused on the guitar these days. Brian:    Oh okay. David:  But um yeah, yeah, it’s a really a real source of potential that I’m not tapping into. Brian:    Excellent. Well, keep practicing. David:  Yeah. Brian:    Tell us, obviously I’m going to put a link to your book in the show notes, but where do you publish uh social media, LinkedIn, any of that stuff? Where can people find you? David:  Yeah. I used to be a little bit better at publishing blogs on LinkedIn and on my website. Brian:    Okay. David:  To be honest, I’m really behind on that now. I’ve been so busy with other things, uh but hopefully at some point I’ll start uh blogging some more. Brian:    Nice. Excellent. And you’re, if I recall, it’s DSI analytics, right? David:  That’s it. Yeah. DSI analytics. Brian:    Awesome. So I’ll, yeah, I’ll put a link to that and your LinkedIn profile as well. And thank you so much for coming on the show. This has been a really good conversation. David:  Yeah, no, thanks for inviting me. I’m glad to be here and look forward to uh seeing you in London soon. Brian:    Awesome. Yeah, I’m looking forward to speaking there. So take care.

Achieve Wealth Through Value Add Real Estate Investing Podcast
Ep#24 Transitioning from Owning 600 units on his own to Syndication with Brian Murray

Achieve Wealth Through Value Add Real Estate Investing Podcast

Play Episode Listen Later Oct 15, 2019 49:12


James: Hey, audience and listeners, this is James Kandasamy from Achieve Wealth Podcast where we focus a lot on value-add, commercial real estate investing and we usually talk to commercial real estate operators who have been very active buying deals nowadays.  Today, I have Brian Murray. So if you have not heard about Brian Murray, he's the author of the best-selling and award-winning book: Crushing It in Apartments and Commercial Real Estate. And he owns almost 700 units right now on his own and I think out of 700, 600 of it is apartments and 100 units are on office sites. Hey, Brian, welcome to the show.  Brian: I'm really happy to be here, James. Thanks for having me. James: Really happy to have you here. And so tell me about, how did you go from 0 to 600 multifamily 0 to 700 asset classes on your own without syndication?   Brian: Yeah, well, you know, I started 12 years ago and I'm located in Upstate New York. That's quite a bit different market than New York City. But my first property was an office building and it was a distressed office building and from that very first deal, I did a lot of value-adds. Frankly, I really didn't know what I was doing, I was kind of figuring stuff out as I went along but I progressively made that property perform better over a couple of years and added a ton of value. On that deal, I assumed the mortgage and on my second deal, I did an owner/finance situation. It was another property that was half full, I filled it up and refinanced out of both of those and bought three more properties and followed that path the entire way. Which is find well-located properties that were not well managed or had some other large value-add component, exercise that value add and then refinance, take cash out and buy more properties. And that's the exact path that I followed to get to where I'm at today. James: That's crazy, which is good. I mean, that's the model that, I mean, it's an absolute value-add model, which is basically the theme of this podcast. And so did you buy and then improve it and then refinance the money out or did you sell it and I didn't get that far, can you clarify that? Brian: Yeah. So I refinance the money out. I am primarily buying hold, still to this day. But especially in the first 10 years, I think I sold one or two properties, smaller properties, for the most part, during that time. I am selling some of my smaller properties right now to redeploy those funds into larger properties, but my strategy has really been buying hold. James: Awesome. Awesome. So before we go further, I want to clarify about your book, Crushing It. I mean, I remember asking this question to you when we met face-to-face. So did Gary take the 'Crushing' name from you or you took it from him? Which one is that?  Brian: You know, so his book, Crushing It, came out about a year after mine but he launched a book called Crush It prior to when mine came out. But he took the Crushing It and you know, but that's fine. It doesn't matter. It's all good.  James: Well, it must be a good name because both of you are like a best seller, you know, in your own domain. So awesome. So right now what's your plan? I mean you own this many units on your own and what's your plan right now?  Brian: So right now, I'm really focused on diversifying. I was really excited to do my first Mastermind, which was last year, which is how you and I met and I met some great people at that Mastermind and highly recommend that to other people; surround yourself with other folks that are doing what you're doing. But when I went off to this Mastermind, it was really eye-opening for me because pretty much everybody there was doing syndication and it was a model that was really new for me and I just learned a ton about what people were doing.  And my model has worked great for me up to this point, but I've reached a size, we're growing purely organically. It's becoming more challenging to maintain that pace of growth. I think also with valuations at a higher point, it's more and more challenging each year to pull that much value-add out with refis. I think another factor that's come into play is I've been very, very dedicated to putting every dollar that I've earned back into my real estate. That's been a been a big part of how I've done what I've done is to continuously reinvest back in. As a result of that, to this point, I've been living fairly frugally and you know at a certain point, you want to not have to put every dollar back in but you know, to maintain that growth rate, I've got to look at other options. I also want to diversify geographically because most of my properties are in one location. And so I'm in the middle of my first syndication right now and I've met so many good people that now, I'm developing partners and looking at new markets and it's very exciting for me. I love to learn, I love to try new things and getting into these other markets and, you know, meeting accomplished people like yourself, it's very motivating. So I'm just super excited about it.  James: Yeah, it's eye-opening when you go and talk to different people who are doing the same level as you are doing much more higher level because you can see a lot of different thought processes and how people do things. So why are you moving towards syndication? I mean, you own like so many units on your own, can you go into a bit more detail on why do you think syndication is going to be beneficial for you right now in this market cycle as well or on your investment side?  Brian: Well, you know syndication, it does open up a lot more opportunities in terms of size. So for example, right now, I'm looking very closely at an apartment complex that's approximately 300 units. It's in a market that's new for me that I've been doing a lot of research on and that would be a real challenge to try to pull off on my own. It really wouldn't be possible right now. So the property that I've purchased strictly on my own, without raising any outside money, I did last year, it was 126 units and you know to try to purchase something that's 300 plus units that wouldn't be possible for me right now. So it's pretty exciting and I think another thing is I really enjoy working with the idea of doing some projects with partners and getting into some of these new markets. So, there's another piece of it that's kind of exciting is, I've reached a point where I've done pretty well for myself and the idea of helping other investors who want to put their money to work to achieve their goals, I think that's going to be rewarding too. That if a project does really well that, it's all those limited partners that come in that can then improve their lives through their investment as well. And if I can be a part of that, I think I'll find that very rewarding.  James: Okay, that's awesome. So scalability is important and you think of helping others as well to make money, especially I think other investors or other GPs who needs your skills, I would say? Brian:  Yeah, absolutely. Yeah, and that's one of the things that's great too is I've found that it's meeting these other people that are doing it, I've got a different experience. So just like I'm learning from people like you, I'm finding that partners I can bring some different perspectives and value to the table as well. So you always want to partner with people that have strengths in areas that are different from you and that's what makes a strong team. James: Absolutely, especially in commercial real estate because the number of knobs that you can tune, there are so many knobs and especially like in multifamily because it's very management intensive compared to the triple net, other commercial properties. Multi-family is very management intensive and it gives a lot of ways to make more money or to scale down or to scale up. Even though you'd be really, really skilled at that but it just gives you a lot more opportunity. And the lease is one year term or six months term; you can quickly raise or reduce rents, it gives you a lot more fungibility, I would say. I mean, you have like SAS, we talked, in the beginning. You have like 600 units multifamily and 100 office space? Brian: Yes.  James: So can we go a bit more detail into the office? What kind of office is it and how did you strategically balance within the 600 and 100 office? Is it optimistic or what did you see and why did you do it?  Brian: So I started off with the office and actually, my second property was retail and so, starting on that commercial side was really interesting. I think one of the things that did for me is really emphasized my focus on customer service and customer care with tenants. And when I tried my first multifamily, I think that there were differences but they're also a lot of similarities. So the value-added approach that I was taking to office retail worked just as well with multifamily. And our focus on really taking care of our tenants as our customers really served us really well in that area also. Over time, as recently as two or three years ago, we had reached a point where up to that point we had more office and Retail and then about two years ago, I would say, we were 50/50 and now we're closer to two thirds, maybe even 70% multifamily with the rest commercial in terms of the makeup of our portfolio. So as time went by, we've really gravitated toward multifamily and that's our 100% focus right now. I think the biggest thing is that there's a number of things we like about multi-family. From our experience with commercial, you've always got a little bit more risk because you tend to have, not always, but you often will have tenants that comprise a disproportionately large percentage of your income and that can leave you really vulnerable if somebody leaves. So, on more than one occasion, we've had a commercial property where someone that takes up more than half of the space in that property, leaves unexpectedly. And then you've got with one tenant leaving, you have a property that is negative cash flow. And if you don't have a portfolio in place to support that, that can be devastating and it's really not fun even if you have a portfolio to perform it. And then when you go to backfill that space, it's more challenging in commercial properties because you oftentimes have to find the exact right tenant for that space, for that location, for the tenant mix and the property, for the configuration of the floor plan. There's a lot of things that you know, different commercial tenants are looking for.  If you just adjust the rents up and down or maybe offer some concessions, a lot of times, the market doesn't immediately react to that. So turning that dial like you do in multifamily, you have less control. So if you're looking for a particular type of commercial tenant, it could be, it's not unusual for us to sit on a vacant space for one two or more years before the right tenant comes along and fits in and takes that space. With multifamily, you've got those dials that you can turn and say, Hey, you know, we're going to run a special. We're going to bump rents, we're going to drop rents and you usually will see a pretty quick reaction from the market to the changes that you make and from my perspective, that's better.  You always want to have more control and the ability to adjust with your market, adjust to combat your competition and different things like that. And frankly, we've enjoyed working with the tenants. I think there's a perception out there that a lot of people would love to invest in commercial because they think they have this idea that working with white collar tenants would be much better, wouldn't have the problems but in our experience, they can be more challenging. They can be more demanding and sometimes even unreasonable with what they're looking for and you don't usually find that as much with the residential tenants in multifamily. We do primarily workforce housing and the people that we deal with there, tend to be good down to earth people and reasonable. So we appreciate that.  James: And when you talk about office, this is the normal office tenants, I guess?  Brian: Yeah full-spectrum, mostly professional tenants. We've got plenty of medical tenants. We have lawyers, accountants, all types, we've got not-for-profit offices, engineers and architects that would pretty much any type of white-collar professionals. James: Got it. That's very interesting. So when was the aha moment that, hey, I should do multifamily because you are focusing a lot on office, what was that triggering moment where you say, okay, I may need to look at this multi-family? Brian:  Well, I don't know if there was a specific moment. I think it happened gradually over time. When we had about 50/50 multifamily and Commercial, I think one of the big things was watching the performance of the two halves of the portfolio and seeing which half was performing better and part of it had to do with the types of value-add projects we were finding and I thought we were better able to execute on the value-adds on the multifamily side. And that portion of our portfolio just kept outperforming the commercial side and I just saw in the market that we're in, more opportunity there and I felt like it was more stable income based. So, I think I think it just happened gradually over time and you kind of tend to slowly move in the direction that's performing well and where the needs are in your Marketplace. James:  Got it. So all the deals that you have done on multifamily, how did you choose? I mean all these deals are in Upstate, New York, is that right? Brian: Yes. James: So you may not choose the city because that's where you live, the area. But how did you select the submarket? Okay, this deal is good in this submarket, what are the parameters that you looked at When you look at a deal in multi-family? Brian: So, we have a really close familiarity with the subtleties of the market and so it's fairly nuanced like there's not one overarching thing. One of the primary drivers of the market where we are is not that far away is a fairly large military base. And so one of the factors that we look at is, well, we definitely welcome military tenants, we have shied away from the properties that are closer to the military base and tend to have a really high percentage of military population. That's just because there's so much turnover, lenders are less excited about lending those properties because they know that long-term, there could be downsizing. A base could close, there's exposure with that. So we have gravitated within our region to the areas that are maybe we will have some military but not be all military and into the communities where people want to live, in the parts of the city that we feel are strong and good safe locations and convenient locations for the major employers in the area. James: Got it. Got it. And on average right now, what is the price per door in that market? Because I never talk to anybody from New York who's buying multifamily. I mean, Upstate, New York,  New York City, but in general, can you give us some guideline on price per door? What cap rated stabilize deals are being bought right now? Brian: Yes, absolutely. So it's a really, really wide range. So that's what I would say at first. The most recent stabilized property that we purchased we paid about 60,000 a door. There are properties selling in the area, 80,000 plus per door, not that often but a lot of the properties we've got, we've purchased a couple of decent sized properties at auction. We've purchased a lot of distressed properties.  The 126 units that we purchased last year, we paid in the 40s per door and that's pretty low for this area actually, but also the occupancy was below 60% when we bought it and it had a lot of deferred maintenance. So I do feel like we got a fair deal and a good deal on that because there was so much upside but there was a reason that it was priced that low. And so you can come along properties in this area that have low price point sometimes even down into the 30s per door, but usually, there's a reason why they might be in severe distress. But for stabilized properties, I think you're mostly looking at maybe 50 to 70 a door.  James: Okay. You also mentioned that you're looking at other markets now?  Brian: Yes. James: And why is that and what're your criteria to look for in other markets?  Brian: So the number one reason is really a risk management type of approach. Where anybody who's come in and taken a close look at our business and one point even a few years back, I had some graduate students come in and they analyzed it and everybody said, hey, you're kind of crazy. You've got all your properties concentrated right here in this one city and now they're all within maybe half an hour drive of that City and there's a lot of risks involved to that.   So if that City that I focused on starts to decline or say that military base that's not that far away, if they downsize then that all affects my portfolio. So I've known for a long time that it would be wise to diversify geographically and it's time to do that. Another factor is frankly, this is not a huge City. It's not a big area that I'm in and we've got limited opportunities for growth here. There's a limited number of properties that come onto the market and realistically, it's time for us to look to other places. So it's a variety of things. James: So let's say you're looking at a new city, a city A and a city B, what do you look for in that city that you think is going to be appealing to you?  Brian: Well, I think there's a variety of different factors. Probably the number one thing that makes the city appealing is job growth, job creation. Being located in Upstate New York, it's not a strong area for job growth. There are pros and cons to being in a market that's undesirable. So I have less competition. I can buy things at much higher cap rates and I can get properties to cash flow better if I have less competition and higher cap rates. So, there's sometimes you can look at it and say, hey, if you're in a market that's less desirable, sometimes you're getting properties at a great deal and there's something to be said for that. But as I look to new markets, I'm trying to find something where cap rates haven't dropped too far and you can get a reasonable return but you've got that benefit of healthy growth in population and jobs. But I think because I'm looking for more geographic to looking for a market that's going to show more stability, it's on an uptrend and just like any other place, no matter what market I'm looking at, I've realized over time just how critical the specific location with any city is.  So almost any City has their good parts and the bad parts and so you could take any market that you choose and break it down into all different, more and less appealing locations. And so, I wouldn't just throw and say, hey, this one city is great, even though the population is growing and you and I talked about a property not that long ago that you are familiar with the location and you very wisely were like, oh, that's not the right deal. It might be a good city, but that's not the right part of the city. James: Correct. So, I mean, you are sitting in Upstate New York, you looked at the entire nation. Can you give us the top three cities that you think that you want to delve in?   James: Brian, so you are sitting in Upstate New York, and you looked at the entire nation, you know how multifamily works because you own 600 on your own. So you just briefly outline what are the things that you look for in a city. So can you name like top three cities that you think that you want to be involved in that you think has a strong growth story?  Brian: Well, it's a work in progress for sure. And what I would say is sort of the candidates that I've narrowed it down to the commonality would be they tend to be the places that people are migrating to and being in Upstate New York where a lot of people are leaving the area, I want to look toward the places they're going.           And so, primarily in the Southeast, pretty much our candidates or everything from starting in probably North Carolina going down to Florida and you know all the way over to maybe the little bit in Texas, but I think Georgia is an interesting market that a lot of people are pursuing. I'm partnering on a project in Kentucky right now and we're looking at North Carolina and there are some very attractive markets in Florida as well.  James: Got it. Got it. Got it. Before I want to go into the deal level analysis that you do, I want to quickly ask this question because you know, it's very unique to you because you had your own deals and now you're going into syndication, right? So what do you think are the skills needed from yourself when you are having your own deals, where you can skip a distribution or whatever happened to the deal is your own problem. So now you're going into syndication, where it involves a lot more people. What do you think is a few skills that syndicators need to be successful in syndication? Brian: Sure. I mean I would say start a start with one of the big ones which is something that I don't have, which is an investor base and that's a whole job unto itself. Over the years doing what I've been doing and getting some acknowledgments for that, I had a lot of people approach me over the years and say, hey, you know, can I invest and I never took them up on that and now I'm doing that. But what I've realized is in getting to know all these folks that are out there that there's a lot of people who are interested in partnering with me who already have those investor bases and have that skill set of managing those investors and taking care of all aspects of that.  So at this point, I'm primarily thinking that I bring more value in the weighing on the underwriting and the property and identifying all the value-add opportunities and making sure that people look at it as more than a spreadsheet because there's so much more. I toured a property last week and was able to uncover quite a few things. The broker that was there. I was one of the last people, they had about 40 tours and I came through and identified some significant value-add opportunities that the broker said no one else picked up on. And I think that that's something I didn't discuss but we've managed all of our own properties that whole time and so, the knowledge that you get from that just brings so much better of analysis to a deal to make sure you're vetting it properly, you're not overpaying, you're also not underpaying and that there might be value there that you're not realizing. That some of the assumptions that you're making for rent growth are real and can actually be feasible for implementation. And so, you know, those are some of the things that I bring and the experience and having the portfolio I have may give lenders a lot of comfort. And so, I'm recognizing that, hey, I could focus on my strengths and bring some things to a partnership and take those areas that I don't have and other people might and partner up. So if someone's going to do it on their own, they've got to have a pretty broad skill set and that's a challenge, to have the operational knowledge and bring that side and also have the people skills and the investor relationships, it's not easy. I have a lot of respect for people that are doing it all. James: Absolutely. So you are two operators, where you underwrite deals, you understand the operation and you're doing your own asset management. You're missing the investor base creation side of it, which I think you are either partnering or slowly building that up so which is awesome. For me, the operators are at the top of the food chain because they are the backbone of the whole deal. They know what's happening in terms of the rents, how many percents of rent increase is happening on each unit? How many units are being turned? What is the make ready period, what's the delinquency? What is the idling unit period? That's a lot of parameters in the multi-family operation which can be optimized and if you know that very well, your underwriting can be very, very solid, I would say.  Brian: And I think you also bring a reality check. I think that the folks that are operating in the syndication space that don't have as much operating experience, it's easy to look at numbers and assumptions in a spreadsheet and it's challenging to actually recognize what that means in terms of the actual human beings who are there living in the apartments, what it means for the contractors and the property managers and whether what you're assuming is even practical. I look at a spreadsheet and I'm looking at it realizing, hey, you know, I looked at it once a day and I told somebody I'm like, do you understand how much drama will be involved in this? So if you haven't done that you don't know. And sometimes that translates into you might need to maybe tone back your rent growth or you might need to say, hey, maybe we implement something like this over time so that we don't have an all-out rebellion on our hands. So, you know, it's a challenge to bring all those things to the table. James: Yeah, I've seen people who come to me, you know, first few deals and say, oh, this is all bills paid, I'm just going to change it to tenant pay bills. I say, well, that's easy. We can see the value. Well, you do not know how much drama you're going to have there and you might not able to do that on a specific property, a specific location. And they say they want to do them; Utility Bill back, they want to increase the rent, they want to charge covered parking, they want to do laundry increase. So many things they want to do at the same time and I can tell you, they don't have the experience actually. But the thing is, a lot of people have been making money even without all the skills. And I always tell them everybody's a champion in a bull market.  Brian: Exactly, yes. A rising tide lifts all ships, right?  James: Correct. So, people may not look at that skill more in detail or give due consideration to that type of skills where the operation is important, but I think it's important if you want to sustain good rent growth across different market cycles. So coming back to underwriting. So right now you are looking at deals, how many percents of deals do you reject immediately by just looking at it?  Brian: Wow, I would say well over 90%.  James: Okay. So the 10% that you have or what do you look for in that 10%? What do you do? What are the steps that you take to look at that 10%? Brian: You know, I think the very, very first thing I do is I look at the T12. I want to start my analysis of a property by looking at actuals. And then I'm going to base the current situation and the actuals, going to kind of weigh that against my own experience. So, how does the target asking price or the whisper price or whatever they have, how does that compare to the actuals?           And then based on my experience looking through those actuals, what do I see that jumps out at me that might create value? And if you look down through and start looking at the comps and really piecing together this puzzle about, what opportunity is really here? Is the valuation based on something that's completely unrealistic? A lot of times, you'll recognize that some brokers are way better than others at doing a realistic model and pro forma and that's much appreciated. Because you see too many where they'll say, oh, you know, the labor is going to be whatever, $300 a door, and you know, hey, that's crazy. Like it should be 1100 a door or 1000 a door in that market and you know, you'll find out that well, it's been managed by the owner and they don't track the labor. But if you see that it's based on the labor is $2000 a door and you know, hey, we could get that to 900 realistically and still do a good job of maintaining that property, then you start to see an opportunity. It's a combination of running numbers and logical analysis based on experience, is really what I would say it boils down to. James: So in a new market, how would you determine payroll and [12:09unintelligible] on property taxes because this differs by market? Brian: Sure. So all those things are going to vary by market, although many of them will fall within a range. So you're going to say, well, in that market it's going to tend to be higher or lower and I will use my best judgment but if it passes a certain level of scrutiny, that's when you want to really get an established reputable local property manager involved who could look at it and say, okay, for this market specifically, these assumptions you've made are realistic or not realistic. The same thing goes with construction costs they could vary and I can look at it and say, I think that new flooring should be this much but hey, maybe in that market, flooring is much more expensive or maybe it's a lot cheaper. So, you know it's going to be within a certain range, but you just need to figure out how you need to tweak it to get to that market.  James: Got it Got it. Got it. I mean since you have your own property management in your own backyard and now I presume you looking at third partying your property management in this new market, is that correct?  Brian: That's correct.  James: So, what would you think is the most important factor to look at that third party property management company? Brian: Well, at this point, I would say yes, we're relying on third-party property managers. We may eventually consider expanding into new markets or operations, but not doing that right now and evaluating the property managers, it's been a very interesting process. I think you need to look at the full picture. I don't think there's any one thing you can look at. For a project that we're underwriting right now, in evaluating the various property managers, of course, we weigh referrals, you know, that's always good to hear referrals but I think one of the things that are appealing about the property manager that we ended up selecting for this project that we're pursuing is they actually specialize in this specific type of property that we're looking at. So, they have a track record and experience of nearly 10,000 units that are specifically C-Class properties that they've done value-add and executed those successfully. And a fair percentage of those are in the specific market that we're looking at and so there's a lot of things that just lined up. I think if I had to pick the one thing from my interaction with this firm because they toured the property with me as well, but I actually was very impressed with their analysis of our underwriting. They actually went through our assumptions and they toured the property on their own before I got there and gave us their own analysis and without us asking, they also toured the comps and gave us some feedback on that. I was impressed. You could tell that they went out of their way to look at the right things. They looked at the types of things that I would look at and they identified things and based on that write-up, I just said, hey, this is a firm that's experienced. They get it. They did a thorough job. They were professional, they were responsive and you know, it really checked a lot of boxes in terms of giving us an overall sense of comfort with the possibility of working with them. James: Awesome. Awesome. Let's go to a bit more on the value-add side because you have done a lot of value-adds because you buy refi and keep it more long-term. So what is the most valuable value-add multifamily from your experience?  Brian: I would say that the most valuable is it's different for almost every property. If I had to pick, you know, I think that sort of the Big Bang low-hanging fruit tends to be the, I'd say, clean paint landscape, kind of like the surface stuff. If a property is dirty and not well kept and then you make it clean and you put a fresh coat of paint and you landscape it, it can change the entire image of property of fairly modest cost and that can have a huge impact. The rent adjustment is sort of obvious, I think everybody looks at that. I guess big picture if the landlord is way undercharging, of course, you know, that's an obvious big easy one, but one thing that we've ended up doing in a number of cases that is less obvious that people almost never talk about is lowering rents. And in the 126 unit that I mentioned earlier, that's under distress, that's the first thing that we did is we went in and by our assessment, they were trying to charge too much which was a major factor in why the occupancy was so low.  So we immediately went in and cut all the rents and that might seem counterintuitive for a value-add person but over the last six months, we've raised the occupancy 25% and one of the big reasons is we lower the rents and so the net change in terms of the net operating income of that property it skyrocketed by lowering rents. So that also further demonstrates that it really varies, you kind of have to you know. It's sort of like if you look at five different people and say, you know, what change would you make in each person to improve their overall wellness? For some people, they might say stop smoking and some people might say, well, that one needs to eat better so you can't kind of really say well, what's the one thing overall?  James: How did you decide to lower the rent? What was the data that you looked at and decide, okay, I just need to reduce the rent here?  Brian: Well, you know, that's one of the fantastic things when you've got so many properties in one market. You know immediately that based on your other operations that something's off. You know when it's low, you know when it's high, you know when the fees don't match what's present in that market or the concessions don't match.  It becomes very simple. If you're going into a new market, you've got to study those comps and do the best you can and hopefully, tour those comps and do your own homework. But it's one of many advantages of having a concentration of properties in one area. In addition to all the many operational efficiencies that you can have is that you have that market specific knowledge that is there's no substitute for.  James: Got it. Got it. So when you decide to lower the rent, I mean it is a counter-intuitive but I think it makes sense in value-add, especially when you go with that kind of low occupancy. You need to do something to bring up the occupancy because once you bring up the occupancy, you can do a lot of other things. Brian: Exactly. James: You can't do it when the occupancy is low and you're adamant about pushing up the rent. So was your thought process, rather than I leave this unit vacant, that's the biggest loss compared to giving [19:48inaudible] $25 or $30 increase that doesn't make sense.  Brian: Yes. That's right. So, you know that's been one of the strategies that I've adhered to and has worked well; you lower the rents and lease it up and then you make improvements as you go and then you raise rents from there. Nothing more expensive than vacant space. The other piece of that which is an advantage of not syndicating is that I have been able in many cases to fund many of the improvements out of cash flow. So with this particular property, we did lower the rents, but the occupancy has been brought way up. So we've just crossed a threshold where now this property is cash flowing again and all that cash flow is going to be directed right back into making improvements, probably, for the next few years at least. And so, that's a perfect example of well, if you're going to syndicate and you need to pay investors, you really can't be investing all of your cash flow back into a property.  So what do you need to do? You need to raise some money up front to pay for those improvements and not count on cash flow so that you can achieve your investor returns and start to get them their money back.  James: Yeah. That's the one thing different with syndicated deal versus owning your own deals. You don't have to raise so much money so you can take your cash flow and just put it back. With a syndication [21:27crosstalk/inaudible] and you may lose deals because you're competing with somebody who has a lot of money versus somebody who is syndicating.  Brian: That's right. James: It's very interesting. So in terms of, I'm going to your personal side, is there a proud moment in your life or not in your life, toward your real estate career, that you think, I would remember that moment throughout my life until the end; can you describe that moment?  Brian: Oh, wow, you know there's been so many moments, but not all good.  James: No, no, the proudest moment where you think you really made a big impact on something.  Brian: I never really expected this but some of the proudest moments that I've had has been since my book came out and I would have never guessed that that would lead to that but some of the feedback that I've gotten from readers that they've shared with me that it's changed their lives that they started into investing and have already built portfolios. And to see the direct link between the book and people, you know, really making improvements in their lives has been extremely rewarding. So I think one of the great things is that I really went into the idea of writing the book just because I wanted to share what I've learned, the mistakes I've made and to help other people, but I never really thought that it would sell very many copies or that people would have that kind of effect and the fact that it did. When I get a letter, a note from somebody, it's been extremely rewarding. So now I kind of remember that I think that's been a big impact.  James: Yeah. It's interesting. I mean, I get a lot of notes from my books as well and sometimes you don't really take it seriously because for us it's just common knowledge from what we have learned. But some notes do make us think, oh, I really really made an impact on someone. I mean, it's mind-blowing in how many lives can be changed with the things that you share in a book.  Brian: Right, right. Yeah. Absolutely.  James: Yeah. So the next second question is why do you do what you're doing? Brian: Well. You know and it's interesting. I mean actually, in the book I share at one point, this was a few years back, I had somebody come up to me and they said you know, how much is enough? Like you are so greedy, why do you keep going? And I just realized that this person doesn't understand, they missed the whole point that it's just rewarding to take a property that's not performing, that's in distress, that's maybe even a bad thing in a community and to turn it around and make it a better place for people to live. You help the tenants and you help the community and to do that and start to get involved. Like I do meetups now and I met new people and threw those in the book to help other investors, and so, you know, I look forward to going to work every day. I enjoy it. I enjoy the challenge of finding and executing on properties that aren't achieving up to their potential and making a better place for people to live and more profitable at the same time. So I just think it's fun. Like I enjoy what I do.  James: Yeah, it's like a discovery, you're trying to discover these from your paper to the real stuff. Especially when you are underwriting because you're assuming a lot of things and how does that whole assumption become a reality? You know, it's very interesting to see the output of that become [25:42inaudible] people's lives, which is just... Brian: Absolutely. James: So we really had a really good knowledge box from you, Brian. So can you tell our listeners and audience how to get hold of you?  Brian: Sure, you know, your listeners can find me on Facebook. You can find me on LinkedIn, you know, you can find the book on amazon.com or on the book website is crushingit.info and my company's website is Washingtonstreetproperties.com  And if anybody is interested in reaching out, I'd be glad to hear from them.  James: Awesome, Brian. Thank you for coming and joining us. I think that's it. Thank you.  Brian: Thanks, James, was an honor.

Way To Greatness
Everyday Heros, Miracle Babies & Tourette's w/ Brian Schulman (005)

Way To Greatness

Play Episode Listen Later Oct 13, 2019 61:17


Learn about becoming an everyday hero, being a better parent, living every day as a miracle baby AND with Tourette's syndrome, and more!! Brian Schulman of Voice Your Vibe comes on the show and gets real as he describes to us the crazy things he went through growing up as he went through wild experiences - and emerged as a person who is always spinning things positive. Brian works to inspire people and his children every day! Show Highlights 02:20 - [Ari] How do you go about inspiring one person each day? 03:08 - [Brian] I wanted to give out the opposite of the negative that I had received by those around me. Don’t get me wrong. I mean I certainly had a ton of positivity around me but sometimes, we all know how one negativity can overshadow a thousand positives. 03:25 - [Brian] So I wanted to be a giver of good and positivity, and light, and strength, and encouragement. And I know life is 10 percent what happens to me and 90 percent how I react to it. 03:42 - [Brian] I know I've failed way more in life and in business than I've succeeded, that I've learned from every step, and I've gotten up every time. I've dusted myself off and I'd get going and that’s why I've succeeded no matter what the outcome is. 04:18 - [Brian] My ”why” is to inspire one person a day and that can be in so many different ways. If I can inspire one person to chase after their dreams and no one feel and believe that they can accomplish anything (continue to say more here…) 05:00 - [Brian] You know the reality is, life has and will, and continue to throw me mad curveballs and I will continue to get up to the plate and keep swinging. 12:27 - [Brian reading his daughter's essay] This story about to be told is about an extraordinary man now 42 years young, who accepted all the obstacles life had to throw at him. I know you may be thinking that everyone has different obstacles they just overcome throughout their lifetime so how is he different from you and I? 12:45 - [Brian reading his daughter's essay] What makes this particular man different from you and I is the tactic he used when faced with these obstacles. What makes him different from you and I is that he took these obstacles and used them to help make a difference and inspire others to never let life get in the way of their greatness and achievements. What makes us different from everyone else is not the obstacles life throws at us but what we do when faced with these obstacles. 13:14 - [Brian reading his daughter's essay] Will you choose to accept defeat? Or will you choose to persevere? 14:57 - [Brian reading his daughter's essay] No one knows what life has in store for them. All we can do is live until we are forced to face an obstacle and we must make a choice to either overcome or accept defeat. 15:13 [Brian reading his daughter's essay] One person can make a difference in the lives of others. But the experiences this boy has to face came a life lesson. with determination, perseverance, and support from others, anything can happen. 15:50 [Brian reading his daughter's essay] He helps lift peoples spirits and hopes in times of hopelessness and despair, He helps people turn their ideas and dreams into realities, he helps build people from the ground up and hopes that they too will one day share their stories with others, he makes the difference in this world each and every day which inspires others to make a difference as well. 16:13 [Brian reading his daughter's essay] Who may you ask is this man? Well, he is my father. Out of all the lives he's made a difference, I believe he has made the biggest difference in mine. He inspires me to never give up on what I believe in, He always told me to do what makes me happy. But most importantly to always live every day as if it were the last because we are never guaranteed a tomorrow. 16: 52 [Brian reading his daughter's essay] Be the change you wish to see in the world making a difference in the lives of others. 19:24 [Brian] "They're all here for me, they know who I am, I don't need it." 20: 47 [Brian] Tourettes, by the way, is more common on boys versus girls and usually between 16 and 18 years. 24:18 [Brian] My legacy are my kids, my legacy is every person that I have, the ability whose hearts I have devoted or touched in some way. 24:38 [Ari] If all were able to touch us, the people around us but not our own kids and our own family, aren't we may be doing something wrong? Shouldn't we be focused on family first? I don't mean the only family but if we're gonna be inspiring people, our kids come first. Why should we let somebody else be the inspiration for our kids? 25:14 [Brian] We could talk about this all day, I always wanted to be a daddy. It was no question in my mind. I love kids, I wanted to be mine, mom and dad form. Like she was so inspiring to me. 28:20 [Ari] The typical definition of success from most people is money, great job, doctor. All these things, the people just internally, without thinking about it and that's the pinnacle of success. 28:40 [Ari] The truth is if I could get to the end of my life, look back and be able to say that I'm a good dad. That would be successful. 29:00 [Brian] That's not that, at the end of the day when we're taking our last breath, that's not what matters. What matters is the impact we make in my opinion. The impact we make on people's lives. 29:32 [Brian] They're better human beings. If their hearts are bigger, they are kinder. 30:16 [Brian] "You can't turn the clock back." 32:32 [Ari] From most parents or at least for all good parents the choice is to never accept defeat. The choice is always what do I have to do to overcome or make a passes, it doesn't matter what it is, I'll make it work. 33:13 [Brian] When we become parents, it's not about us anymore, like literally it's like snap and everything changes for the good. 34:21 [Brian] We have genuine heroes around us every single day, people that take a selfless action and make a dramatic impact on somebody's life. It happens every single day, every single moment. 34:56 [Brian] I remember thinking to myself, I don't ever want anyone to feel the way I feel, I don't want anyone to ever be treated the way I've been treated. I don't want them to feel that way or feel like they are being treated that way when they're around me. 39:32 [Brian] So I just said: "well, I'll just tell my story." 41:40 [Brian] I'm inspiring people by sharing it and it's not that they have got to have gone through what I've gone through, we all go through trials and tribulations in our life. We all get beat down, it's about getting back up and I didn't think I had a voice for a story that matter, I just looked at it as life. 44:20 [Brian] This is the most important part for anyone "It's not about you, it's about sharing your experiences that can help at least one person out there" and if you think of it that way, it changes your mindset completely. 45:13 [Ari] Sometimes when we're so down when we've got so much stuff that's happening to us that are creating such havoc in our lives or such negativity or potential negativity or whatever it is and we're just all the way down there. Legitimately the one thing that helps us more than anything else is another person reaching down with their hand to lift us up. 45:40 [Brian] Yes, that's what it is about, it's about community, it's about people coming together, it's about knowing that we all go through different things in our lives and we can do that. 47:16 [Ari] Every single time you get up, and people don't realize this and this is part of the issue, and every time you get up, you're stronger. And every single time you stand up you're that much more able to withstand whatever else life throws at you in the future and whatever else it comes. "I had that moment 2 years ago when I had that really big issue but I can do it I can get passes and I know I can!" 47:41 [Brian] Great ways to remember that? Pull out your phone when you're on your worst moment that you feel you're having in your life and hit record and talk to yourself. About Brian Schulman Check out Brian Schulman's guest biography (https://www.waytogreatness.com/guest/brian-schulman/), or read what Julian Smit wrote about Brian: "If you don't know this fine man, you're not spending enough time on LinkedIn! From Miracle Baby to Forbes Featured Entrepreneur, Brian has gone from fighting for every breath as a miracle baby, born at only 1.5 pounds, to Tourette's syndrome as a pre-teen, to one of the most prolific and popular video creators on LinkedIn! He's the founder and CEO of #VoiceYourVibe, and is a co-host of #LinkedInLocal San Diego! Despite all he's been through he's one of the most positive people you'll ever meet and is The Godfather of LinkedIn Video. He's an inspiration to many and a joy to talk to!" -Julian Smit, Host of the BIYF Marketing Podcast (https://podcasts.apple.com/ca/podcast/biyf-marketing/id1372483245) Originally recorded 10/7/2019 Special Guest: Brian Schulman.

Achieve Wealth Through Value Add Real Estate Investing Podcast
Ep#23 Finding Great Operators in Non Multifamily asset classes with Brian Hamrick

Achieve Wealth Through Value Add Real Estate Investing Podcast

Play Episode Listen Later Oct 8, 2019 48:50


James:  Hi listeners and audience, this is James Kandasamy from Achieve Wealth Through Value-add Real Estate Investing Podcast. Today, we have Brian Hamrick. Brian owns 370 units which 2/3 of it is syndicated, the remaining is owned by him. He's from Grand Rapids, Michigan. He does multifamily, self-storage and also non-performing notes and Brian is also the past president of Rental Properties Owner Association.  Hey, Brian, welcome to the show.  Brian: Hey, James, great to be here. Thanks for having me.  James: I'm really happy to have you here. I mean, you have been podcasting for the past three years. You have a really good audience because I remember after showing up on your podcast, a lot of people did contact me. So I'm sure a lot of people love your podcast as well.  Brian: That's fantastic. I'm glad to hear that.  James: Yes. So can we go a bit more detailed into what is this Rental Properties Owners Association, how do they add value to syndicators or landlords or tenants? Can you describe a bit more on that? Brian: Sure, the Rental Property Owners Association, which I'm a past president of, I'm currently on the executive committee and I sit on a number of different committees, they are a landlord representation organization.  So we also work a lot with Real Estate Investors and provide all kinds of training for both landlords and Real Estate Investors. Every year, we have an annual conference where we have National Speakers come in and talk about all different types of investing asset classes and whatnot. And really I got involved with it because when I moved here to Grand Rapids, 15 years ago, I was looking for a professional organization that I could become part of that would help me network with other professionals in the industry. People who own rental properties and knew how to profit from it and also just an organization that would help teach best practices so I could learn the ropes how to do it and certainly through the Rental Property Owners Association and the people I've met there, I've learned a lot.  We provide a lot of training but probably what I consider most important of all is we have a legislative committee that works with lawmakers, both local and at the state level, to help push through bills that help rental property owners and also help prevent bills from becoming a reality that would hurt us; anything that has to do with like rent control or some of those hot button issues that as landlords and rental property owners would like to avoid.  James: Yeah, very interesting. So like New York and I think, Oregon now is rent control states, if I'm not mistaken, so they probably have similar Association like yours in that city, I guess. Brian: I would hope so. It sounds like they're fighting a losing battle as you and I both know as rental property owners, you know, I believe you invest out of state, out of your area, is that correct?  James: No. No, I'm from Austin. I invest everything in Austin and San Antonio. Brian: Okay. So would you even consider investing in a city or a state that has rent control?  James: No. Of course not.  Brian: Yeah. It's really detrimental to the market and I think it's going to cause a lot of problems. I used to live in Santa Monica, California where they had rent control and you can see the negative results of that. James: Oh, Santa Monica in California, did they have rent control in the past?  Brian: Yeah, a lot of the Los Angeles counties, you know, it's kind of county by county, city by city, area by area, but there is rent control in Los Angeles in certain areas and you can just see how rental property owners, who own buildings in rent control areas, have no incentive to put money back into them. They're not putting the capital expenditures back into their property to keep them in good shape because there's no incentive to do so. They can't raise rents beyond a certain amount each year and you know, so why would you invest $100,000 back into your building if you're not going to get that out in value? James: Yeah. Yeah. It doesn't make sense for a business. So you may not run it as a business, you may be just run it as cash flow, I don't know, it's like a cash flow investment. I guess you don't have to spend any capital on it.  Brian: I can see how if you've owned the property for a long time and you bought it at the right price at the right time, you could probably be doing well with cash flow. But in these markets where you see a lot of rent control, they're expensive markets. So I'm not really sure once rent control is instituted in these markets what's going to incentivize new investors to come in and bring fresh money into the market. James: Interesting interesting. So coming back to your portfolio, can you tell me in terms of your holdings, how much is multifamily, how much is self-storage? How many percents of each one of these and how much is non-performing notes?  Brian: Sure. Sure. So multi-family is my bread and butter. I've been doing that since 2008. I moved to Grand Rapids in 2005 and 2008 the bubble burst, you know, we entered the Great Recession, it was a buyers' market. I bought my first 12 unit, I was using my own money in the beginning, started using other people's money and then started syndicating.  We currently have about 370 units here in the Grand Rapids area, Grand Rapids, Michigan and that's multi-family residential. In 2018 we purchased a self-storage facility, it's about 28,000 square foot, we're currently adding another 15,000 square foot to it and that's been a fantastic investment, I really love self-storage. And then, as you mentioned, I host a podcast - The Rental Property Owner and Real Estate Investor Podcast - and one of my guests over two years ago was a gentleman by the name of Gene Chandler and he was investing in non-performing notes and I really liked his strategy so much that I ended up investing well over 300,000 dollars with them and the results have just been fantastic.  James: So, you now do multifamily and now you're doing two other asset class. So can you tell me what does multifamily did not offer that these two other asset class offers? Brian: Well, I like you, I'm investing in my own backyard for when it comes to multifamily. Even though I've bought and sold over 450 units, in 2015, I stopped buying multifamily altogether because the values had gone to a point where I could no longer justify syndication. I couldn't get the returns that I needed for my investors to be able to to pay the prices that people were asking. The last two deals I found - one was off-market, one was kind of in between market - and I can go into details on that but anything that I saw after that point just, I was so spoiled by the prices I was getting between 2008-2014, that I started looking for other asset classes.  And there were probably about 3 years where I just sat on the fence, waiting to see if the market would change or something else would come along. And at some point, one of the people who I met through the podcast, brought me a self-storage deal that he had found off-market. I looked at it, I like the numbers. His underwriting was very conservative, but the numbers were very compelling and we ended up buying that in 2018. And just in one year of basically bringing the rents up to market value and switching to a virtual online web-based management system, we were able to add over $700,000 in value to that property. So I like the simplicity of managing and owning self-storage more so than multifamily because in multifamily, you have tenants and plumbing issues... James: So it's very Property Management intensive, right? Brian:  It definitely is and the self-storage, it's not. When you have turn-over, you're basically sweeping out a metal shed, you know, so it's a lot easier to manage and own and operate self-storage, especially when you're in a good market and I think we bought in an excellent market. It's just north of Lansing, Michigan. And then with the non-performing notes, I found a strategic partner who handled a lot of the nuts and bolts of that and I was able to invest with him somewhat passively so I enjoyed that aspect of investing there and the returns we were getting were very good.  James: Interesting. Yeah, I mean, as I mentioned in my book, commercial asset classes go in cycles. I mean, I know I'm a multi-family guy and your bread and butter is multifamily but if you find the right operators in other asset classes, you can make a lot more money or equal amount of money as what you're making with multi-family. So, would you think so? Brian: Absolutely. Finding the right strategic partners in other asset classes that's one of the things I set my mind to when I realize I'm just not seeing the returns I want to see in multifamily and apartments in my area where I'm comfortable investing. Now, have you looked at other asset classes? James: I did look at a few asset class. I mean the asset class that I looked at is also like, you know, self-storage or mobile home parks but it's also in demand. I'm surprised to see here that you found something in 2018 because I thought self-storage is a hot asset class as well, I will risk going after that. Brian: Yeah, it was a lucky strike and we've been looking for similar opportunities. But yeah, we're not finding them. What we're doing instead is building ground-up construction in self-storage, finding locations where the demographics are right and the need for more square footage of self-storage space is there and then we go in and fill that need. James: Yeah, but I'm happy that you are looking at multifamily is not like the only asset class throughout the whole real estate cycle. I mean you felt like in 2015, things picked up and you really can't find the prices that you want and you have changed strategy which is how an investor should be. You always want to look at what's available out there, the deal flow because the economy is still doing very well. There's a lot of capital out there and it's just harder to find a great really-making-sense deal. I wouldn't say deals, making sense deals in multi-family, something that makes sense. It's just so hard to find out nowadays. Brian: Absolutely. As an investor, you have to stay nimble and flexible and be open to other opportunities. Now, I know a lot of people in our field, our asset class of multifamily and apartments will find strategic partners outside of their area like in Texas or Georgia or wherever and partner with strategic partners who are able to find better value and better yields in their Investments. But I've had some bad experiences early on with some single-families that I owned out of state so I've always been very hesitant since then to own rental property, residential rental property, out of state. James: So you like to have any property within your own backyard, but you like to diversify within asset classes. Some people have one asset class, but they go across the nation. Like some people like to buy multi-family across the nation, wherever make sense but you are doing it the other way around. Brian: Yeah. Since I've branched out into self-storage and non-performing notes, I'm comfortable switching up asset classes. James: Awesome. So on self-storage, are you the operator, are you the primary guy?  Brian: No, my strategic partner is. He's the one who found the deal off-market, he negotiated it. I basically came in and raised the money; we syndicated that and raise the funds to be able to acquire it. James: Got it. Very interesting. And on the performing notes, you have a strategic partner, I would say, right? Brian: Yeah, I have a strategic partner on that. He's the one who knows that world. He's been doing it for well over six years now and really knows how to negotiate with the lender who we're purchasing a non-performing note from. He works with the homeowners to try to keep them in the home and figure out if that's even possible and then knows who the title company is that he should work with to get the right due diligence done and he's got the different scenarios in his head of how we can profit off of these notes. If we keep the homeowner in the home, what are the strategies there for us to maximize our profit or if we have to go through the foreclosure process. How do we go about that and maximize our returns in those cases as well. James: Interesting. Interesting. So if you get a multi-family deal today, would you still do it? Brian: If I found a deal that made sense and my underwriting shows that I could get the returns to my investors that they're accustomed to, I'd do it in a second, absolutely.  James: Okay. Okay. So let's talk about the market and submarket selection. So why did you move from California to Grand Rapids, Michigan?  Everybody's heading to Texas and Florida from California.  Brian: I'm from Michigan, originally. James: Oh, you're from Michigan? Okay, that makes a lot of sense.  Brian: Yeah, my wife is from here as well. So we met in California but decided okay, if we get married, start a family we didn't want to do it in Los Angeles, it's just too busy there.  James: Makes sense. Yeah, I mean just based on data that 50% of the population move to Texas And I think there's a lot more but Texas and Florida is the favorite destination for people from California. That's why I was asking the question. And how do you select the submarket in Grand Rapids, Michigan? Like how do you select which submarket to really do the deal? Brian:  Well eyes because I live here, I am looking within a half hour to an hour of where I live. Grand Rapids is very strong, has very strong demographics. It's one of the few Midwest cities that really bounce back strong from the Great Recession. A lot of diversified manufacturing industry. Furniture, Amway is here, we've got a lot of different industries and employment based here. So when I look at submarkets, I'm looking more at the neighborhoods, what's the crime rate in that neighborhood? What's the income level in that? What kind of rents can we command and by the way, I'll buy B properties and C properties or you know, C minus properties that we can push into that C plus B minus range. But I will avoid the The D areas and I've seen a lot of opportunities in the D areas. And by D, I mean where you have a lot higher crime rate, where you have a lot more evictions and tenant turnover and problems.  So I'm just very careful about and I work with the property management company that has a good grasp of these areas. So when we look at a property, we can really get a sense of if we buy this, is there an upside value, can we improve it and get higher rents, get better residents in here or is it going to be bound by the neighborhood it's in, that where it is now is what just where it's going to be? James:  Got it. Got it. Interesting. What about underwriting? I mean, when you look at a deal like I mean when you are buying multifamily, right? So how would you select the deal? Let's say a hundred deals been sent to you, do you know how many percents of it you would reject? Brian: Right now 100%. I'm not even looking right now, but what I'll do is I'll do a quick rule of thumb. Okay, what's the net operating income? What's the cap rate that they're asking? Is there upside potential? And of course, if it's listed by a broker, they'll always tell you the market the rents are way under market. you can raise the rent. No problem. That's sometimes true, sometimes not true.  But this area is so strong that any seller right now knows that they can get top dollar and while there's a lot of Institutions and out-of-state investors and even International investors who are willing to pay top dollar, the yields that they are willing to accept are much lower than what I'm willing to pay, which is why I'm not even looking at the moment.  James: Very interesting. Now I see it's happening across the country. I thought it was only happening in Texas and Florida but looks like across the country, that's what's happening. It's just so hard to find deals that used to make sense to us long time ago, right? So it's crazy out there.  Brian: Yeah, and it could just be that I'm spoiled because I was buying during a period when I could buy it at eight nine ten caps. And now, when I see things at five six, six and a half caps, I don't even want to consider them. But had I bought it at those cap rates between 2015 and 2017, I would have made a lot of money. So maybe I'm just a little too stringent in my criteria right now.  James: Yeah. That could be it as well.  Brian: Are you buying right now? James: Well, I mean, well, I'm still buying if I find the right deal. It's just so hard to find the deal that makes sense for my criteria, and I'm sure that's the same thing as your criteria. I'm still buying if I find the right deal but I'm not underwriting a hundred deals, you know, in one month. You know, whatever deal comes to me, I usually know that within the quick look, I know whether it makes sense for me to underwrite or not. And sometimes brokers will call me if they know that a certain deal is something that I would do. That's the only deal that I look at.  Brian: What's your quick back of the napkin way of determining whether or not you want to invest in something? James: If it's an email blast, I probably wouldn't look at it.  Brian: Yeah. Yeah, you kind of eliminate the ones that go out to everybody.  James: Yeah, it's already got everybody on his shop date and coming on an email blast. You know, you have to go on a best and final and best and best and final and then this ultimate best and final offer, which is you're shooting in the dark, right? You're basically bidding against yourself. [20:45 inaudible] I'm not really in a desperate mode to buy deals that go through that kind of process. So when I look for value-add if there's a true value-add deal, I mean, minus the crime rate area, I definitely know the area that has high crime rate, I can check it out quickly Class B and C, but need to have true value-add that we can go and add value. I don't really look at the entry cap rate, but I look for the spread of the cap rate from the time I buy to in the next two years kind of thing without any rent increases.  Brian: I think part of part of my problem, one of the reasons that I've just been on the fence is because we bought a value-add property back in 2015. It was an older building, built in 1920 and it was such an exhaustive process to go in and add value to that property. I was over there like every day. James: It is very tiring to do those value-add deals. To do deep value-adds, I would say.   Brian: Deep, deep value-add. And so my bandwidth for more opportunities was just completely limited because I was so exhausted by working on this one particular project. Now, luckily, we got it to a point where we added tremendous value to it and we're very proud of the work we did but you have to weigh the opportunity cost when you do those value-adds because sometimes they're so intensive that some of the lower hanging fruits, you bypassed that. James: Correct. Yeah. I see some syndicators doing deals every month and they're not doing a deep value-add or they're just doing the lighter value-add. Maybe they're just doing a yield play. [22:30inaudible] they can buy every month. They can claim 5,000 units or 3,000 years versus deep value-add to be like 100 and 200 and 300. It's a really really deep value-add. You probably make a lot more money than the guy who owns 3,000 to 4,000 units, but it's a lot of work.  Brian: It's more than just asset managing. You kind of become a de facto developer. James: Developer, a huge project manager. Yes, so many things but the deep value-add gives you a sense of accomplishment. Brian: It does.  I'm very proud of the work we did on this particular property and more so than any of my other properties because I didn't have to put nearly as much work into them.  James: Yeah, and the deep value-add it becomes a case study, right? Because it truly shows your skills to turn around property.  And people who have done deep value-add it's going to be easier for them to do the lighter [23:30inaudible]   Brian: Yeah, yeah, that's an excellent point.  James: So that's very interesting. So can you name like 2 or 3 secret sauces to your success? Brian: The two or three secret sauces to my success. I'm sorry if you hear that printer going in the background there.  James: It's okay. No worries.  Brian: Hopefully that ends soon. Secret sauces to my success; I think doing the underwriting, running my numbers. I always like to say, I like to see my numbers in bullet time. To see all the Matrix, you know, everything slows down and you can see it coming at you. I want to know what are the real expense is going to be after we've acquired the property. One particular mistake that I see a lot of investors making is they assume that the property tax is going to be the same as what the previous owner was paying and that's just not the case. So right there that's one of the main factors that I look at right away, is what is the property tax going to become once I buy this property and that eliminates 50% of the deals that I would even consider. So number one secret sauce is just really understanding the numbers. Not just where they are today, but where they will be once we acquire the property. Number two is having the right team. I am all about partnering with strategic partners who add value because they understand inside and out the asset class that you're investing in. The reason I was able to expand my multifamily portfolio was that I partnered with someone who owned his own property management company and managed the type of properties that I wanted to acquire. That without his assistance and without his team that really knew how to go in and do the due diligence and help me assess upfront, what are the capital expense costs going to be? What are the true costs going to be when we acquire this property? Without that, I would have made a lot of mistakes. The same with self-storage. I partnered with someone who even though he's young and new, somewhat new to the business, he had really studied it, talked to a lot of professionals, been mentored by people and really understood inside and out how we could add value to that self-storage facility. And everything that he put in his pro forma ended up becoming a reality. With my non-performing note partner, I mean he knows that world inside and out. So when we acquire a note, the first 12 that I bought with him, we only had one that we lost money on and that was about $1,700.  James: Out of how many notes?  Brian: We bought 12 notes to start with because I like to test before I bring other investors in so I bought 12 notes with my partner, I JV with him. Five of the notes our average return was over 80%.  James: Wow. What timeline? Brian: A year and a half.  Well, actually, each note is kind of on its own timeline. So I'll tell you that of the twelve notes that he and I purchased together, five of them are closed and paid off like we've made our profit. Our average return on investment, before we split 50/50, our average return was 81% and that included the one note that we lost $1,700 on. Some of the returns that we're getting are phenomenal. Five of the notes are re-performing, which means that we were able to keep the homeowners in their homes, which is fantastic. That's our number one goal. Our average return on those notes as we collect the monthly income is 30%. And then two of them are in some form of foreclosure. In fact, we're about to sell one. We just listed it today actually, so we should make a decent return on that. We always try to work with the homeowner and keep them in the home. Half the time we're able to do that, half the time it just doesn't work out. But you asked me the timeline so, of those five notes that we closed, our average return was 81%, the average number of days that we were in each of those notes was 163 days so that took less than half a year.   James: I mean, those are good great numbers. I mean, I mentioned in my book, find the right operator in that asset class and partner with them or invest with them for passive investors. So as I said in every asset class, there's always good operators. So the numbers you're telling me in non-performing notes in self-storage are huge, right? I mean, I know multifamily you can make money if the market went up and you have a really good operator that can handle that. On average, not everybody is making what you just told me right now on self-storage. So why is multifamily more popular than other asset classes?   Brian: There are more people teaching it.  James: That's absolutely my point. Brian: Yeah, I mean like there are some excellent instructors out there in multifamily and you and I are both the part of a group with one of them. I mean great top-notch training material. Okay. Yeah, there's just fewer people out there. Whereas you have between 10 to 20 people out there teaching multifamily, you could count on one hand the number of people teaching self-storage and it's even less teaching the non-performing note.  James: I understand. Yeah, it is it is true. There's a lot more people teaching multifamily, a lot more boot camps, a lot more 2 days weekend seminars on multifamily compared to self-storage or non-performing notes. And I think multi-family is also very simple to understand, it's a house. Not many people understand what is non-performing notes.  Brian: Yeah, there's all that educational like just understanding and wrapping your head around the concept. I got into multifamily because I understood the economy of scale and I understood people have to have a place to live. So if you can get them to pay their rent and that rent pays all your expenses plus the mortgage, well, you can make a lot of money that way. And then once I understood the next level of value, which is the income valuation method, how commercial multifamily is valued based on the income method and you can increase your returns exponentially if you understand that. The relationship between cap rate and your net operating income and value that was very compelling to me. And I think that still is very compelling when it comes to investing in commercial real estate whether it be multifamily or self-storage. I think non-performing notes, there's a lot more perceived risk in that because it's not valued based on any  - it's hard to understand how that's valued because there are so many different scenarios in which you can profit from non-performing notes. That you can't just say well we value it this way and if you buy this note, this is what you're going to make, it's kind of a crapshoot. But if you do it right and you partner with someone who knows how to avoid the dogs, you can actually make a lot of money doing it.  James: So what is the most valuable value-add in non-performing notes? Brian: You mean an example of one of our...? James: No, not an example. I'm talking about what is the one thing that if you do the most of the time or the frequency of things that you do in non-performing notes that you get the most value out of? Brian: Well, yeah, it differs note by note. I'll give you two examples. One is a property that was pretty much a teardown property that we bought the note on in Middlebury, Indiana. We paid $5,000 for this note and I asked my partner, I mean it's $5,000, this property is a teardown. How are we going to make money on this? And he said, well, we're not buying this for this property for the house that's on it. We're buying it for the land because it's right next door to a farm and this farm is owned by this Amish family. So he sent a realtor over to the Amish family and they ended up paying $35,000 for that note. So after closing costs and paying the realtor and getting our initial $5,000 investment back, our profit was over $24,000 that represented a 245% return and we did that in less than two months. James: Yeah, but you need to identify that opportunity. I mean, it's not like you can go and buy any deals right now. Okay, very interesting. Brian: Yeah. Yeah, absolutely. Another quick example of how you can profit on notes and I don't want it to lead you to believe that your best profit is always going to be a few foreclose or take possession of the property because you can still make a lot of money if you can work with the homeowners. We bought a note on a property in northern Michigan, probably about 9 or 10 months ago now. And I believe the numbers were in the line of we paid $20,000 for this note, got the homeowners re-performing, the unpaid balance on this note is $41,000. Once we have them season for 12 months, meaning that they're paying on time for 12 months - we've been working with them with a mortgage loan originator, where they can go and get new financing, permanent financing of FHA or Fannie Mae type loan in place with much better interest rate much better payments. Well, when they go do that, they're going to pay off that unpaid balance. So our $19,000 investment, now that I'm thinking about it was $19,000, our $19,000 investment, we're going to get paid that $41,000 of the unpaid balance on their note, plus the money that they've been paying each year. So our return on that is going to be 100%, it's actually over a hundred percent.   James: Across how many years?  Brian: We'll be out of that in under 15 months. James: Okay, interesting. Brian: Because they're going to refinance and when they refinance, we get paid that unpaid balance. James: Got it. Got it. What about on the multifamily properties that you own before 2015? What do you think is the most valuable value-add that you really like?  Brian: Well, they're all great because just anything I bought between 2008 and 2012, I've achieved an infinite return on those.  James: Okay. So refied it by and you kept it? Brian: Yeah. Yeah, we've refinanced, pulled our initial investment out. We have no money in the properties and we're collecting cash flow every month. So you can't calculate a return on that. Probably one of the best examples is a 37 unit that we purchased. We bought it at a short sale in 2009, was about 600,000 is what we paid for it. We put a $200,000 into it right away to replace roofs, windows. It was a hodgepodge of heating systems. There's electric baseboard heat and hot water boiler heat and then gas forced-air furnace heat. It just depended on which unit you were looking at. So we replaced a lot of the mechanicals, made it as much of a new property as we could, as far as just the mechanicals and the roof and the windows. And we refinanced it once it had over 1.1 million dollar value, pulled all of our initial investment out plus some extra cash flow and then we just refinanced it again, put a tenure fixed loan on it through the Freddie Mac. small apartment loan. So we got great terms on it, 30-year amortization. At that point, it valued over two million dollars. So we've added a lot of value to it and the compression of cap rates didn't hurt either.  James: Yeah. Yeah. Those are the awesome deals, the deep value-adds. That's where you can go and refi and make it infinite written because you pulled out all your cost basis. Brian: Yeah, yeah. Yeah, that's the goal to achieve infinite return. Whenever we can do that, that's what we do.  James: Absolutely. Aren't you worried about the state of the market right now in real estate in general?  Brian: You know, gosh, I was more worried about it two years ago than I am now probably. James: What has changed? Brian: Probably because two years ago, I was thinking, oh, it's going to turn any minute now and then it only got better and better. You and I both know Neil Bala and we talked to him at the last event we were at together and he made a very good case for the continuation of this market. And it basically rests on the fact that the United States, it's one of the few, if not the only places in the world where you can go to get real yield on your investment. We're seeing a lot of international money coming into the United States because in their countries, they're seeing negative yield or 0 yield. Here even if you can still get three or four percent yield on your investment, that's a lot of money. It's bringing a lot of money into this country and that's going to prop up our values for quite a long time. On top of that, I've always fought or believe that interest rates were going to rise and I've been believing that since 2000 and they keep going down. And even now, as we're speaking, they're talking about lowering the rate again by the end of the year. So that interest rate risk, I know we're playing with fire here and eventually, we're going to have to pay the piper but our government seems to keep coming up with ways to prolong this growth and the increase in prices. So am I worried? Not in the short term. No. No. The Economists I listen to are saying, oh, it's going to be a roaring 20s for us. Things are really going to hit the fan and. 2027, 2028, 29. James: Interesting. Yeah, because I think I don't know, maybe my thoughts are similar to yours somehow the Fed has figured out how to do quantitative easing and quantitative tightening. Somehow they're able to contract the economy and bring it down. So they could have found some new mechanism to keep the economy going even though our thought process always has been real estate goes in cycles. But at some point, you will hit an affordability issue, it can't [40:13unintelligible]  go up all the time, right?  Brian: Yes.  James: The prices can go up because the interest rate is coming down because now you can get more cash flow. But at the same time, you can't keep on increasing rent because our wages are not going up so much. I mean, I'm not an economist but at some point, you will hit some roadblock, but I'm not sure where is it and how is going to come.  Brian: Yeah, well, we're seeing a plateauing I think right now in just the rents that we're able to charge, the prices that people are willing to pay but it's still a very strong market. Now, don't get me wrong, I'm not going out there and just buying stuff like crazy because I am very conservative and like I said if I can't get the returns that I need to bring investors into my deals, I'm just not even looking at it. I don't anticipate that the market is going to have a huge correction, there might be a bump, I think if you're in a good market, like Grand Rapids, that bump won't be nearly as severe as some other places.  I'm keeping my eye on the market but at the same time, investing conservatively in asset classes that I think will be able to withstand the next correction.  James: Awesome. So let's go back to a personal side of things, right? So is there a proud moment throughout your career in real estate that you will remember for your whole life, one proud moment? Brian: One for a moment to put on my tombstone. James: Yeah, absolutely. That you really think that hard, I'm really proud I did that.  Brian: Yeah. So a couple of answers. I mean any time we're able to go in and improve a property and improving neighborhoods, that always makes me proud, you know, that we're adding value to a neighborhood and community. The older building that I told you about here in Grand Rapids, it was built in 1920. When we bought that it was very tired, kind of poorly managed, it was losing money. We were able to turn that around so I'm very proud of that. I'm very proud of the fact that we also fought very hard and work very closely with the city to be able to put a restaurant in that building. So the fact that when we bought it it was 96 apartment units and about 6,000 square foot of vacant commercial space. Now we had to work with the city to get it rezoned because it had been vacant for so long, it had to be reverted to being zoned residential. So we spent over a year trying to get it rezoned so we could add commercial in there, but we filled up all 6,000 square foot including a restaurant and that took about two or three years to do.  So when I think about what I'm proud of I think I'm definitely proud of that.  James: Awesome. That there is hard work  because you're turning the zoning from residential to mixed use.  Brian: Yeah, mixed-use residential commercial, just dealing with parking, number of parking spots and green space and tree canopies. I mean, it was a massive undertaking.  James: Yeah. It's very interesting that kind of work. I did one that was borderline and we merged it with an apartment and we did so many things. It was a very unique value-add that we recently refinance.  Brian: What was it, a lot of work for you? James: It was a lot of work because you have to go through, you know, buying the deal - you had to buy two deals at the same time. One is the apartment and one is the land and then we have to go to the city to merge these two plots. Then you had to rezone it, then you had to - I mean replot it, rezone it And then after you do a tree survey, you have to do so many different surveys have to do to get that. It's not normal in a residential, you know, where you buy today and increase rent, reduce expense kind of deal. But it's very interesting and people got 80% of our money within 15 months, which is huge, just by doing this creatively.  Brian: That's fantastic. Yeah. Yeah, you talk about its zoning and tree, you know.  James: Yeah, zoning and tree and all those. Brian: So it's a whole new world and it definitely is costly and time-consuming because you have to have experts on your team. You got to bring experts like architects.  James: Yeah, we brought in architects, engineers.  Brian: Yeah, engineers who even understand what it is that the city is asking for because if you were trying to do that yourself, you just would be a mess. James: Yeah. I mean the good thing about what you said about what I'm proud of this kind of process and 99% of the syndicators don't have that kind of experience. Brian: Yeah. I didn't have that kind of experience but now I do.  James: Most of the time, you just buy buildings and, you know, look at increasing income and reducing expenses and after that, at some point you sell but you don't do different contracts buying land and doing kind of things. So another question for you, Brian, why do you do what you do?  Brian: I love it. I love what I do. I feel very entrepreneurial about it because I've been an employee up until about five or six years ago. Whatever it was I was doing, whatever job, I always embraced it and did the best I could. But what I love about being an entrepreneur, being a full-time real estate investor, now syndicator/asset manager is that it's all very self-motivated. I'm the one who decides what needs to happen, what I need to pay attention to on a day-by-day basis. I don't have a boss or anyone else telling me, 'Hey, Brian, go do this' when I'm like, 'no, I want to go do this instead.' I get to call the shots. So that's what I love about it. I get to call the shots, I get to take time off if I need to take time off and I get to kind of fill my day with activities that I want to be doing. James: Awesome. Hey Brian, you want to tell our listeners and audience how to get hold of you?  Brian: Sure, James. First of all, you can go to my website, which is higinvestor.com. That's HIG is Hamrick Investment Group. You can also listen to my podcast and James you've been a guest on there so you can definitely listen to me interview James. It's the Rental Property Owner and Real Estate Investor Podcast and it's sponsored by the RPOA, which we begin this conversation talking about. And if you want to get in touch with me, you can also email me Brian@higinvestor.com.   James: Awesome, Brian. Thanks for coming in and adding value to my listeners and audience and to myself as well in the kind of things from our discussion here. I think that's it. Thank you very much.  Brian: All right. Thanks, James. It's been a pleasure. It's a lot of fun. James: Lot of fun, thank you.  

英语每日一听 | 每天少于5分钟
第630期:National Sport

英语每日一听 | 每天少于5分钟

Play Episode Listen Later Oct 6, 2019 2:44


更多英语知识,请关注微信公众号:VOA英语每日一听Fanny: Hey, Brian, what's the most popular sports in Canada?Brian: The most popular sport is definitely ice hockey.Fanny: Ice hockey! So do you play hockey by yourself?Brian: I don't actually. When I was a kid, I wanted to play ice hockey, and I was always like begging my dad and asking him but he always said 'NO'.Fanny: Why?Brian: I think the big reason is that... Well, he told me it was too expensive.Fanny: Is it?Brian: It's not cheap. You know, it costs quite a bit to get all the gear but the big reason I think is the practice was always very early in the morning.Fanny: Oh, I see.Brian: Like five a.m. is when the practice is, and I think he was too lazy to wake up and take me to the practice.Fanny: Oh, I see.Brian: He told me it was too expensive. Deep down I think he was.... he didn't want to drive me.Fanny: So are there many people playing hockey?Brian: There are. It's a great sport. It's very popular with many children, and maybe high schools and universities all have hockey teams.Fanny: Oh, nice. That means you're a lot of rich people in Canada, then.Brian: Or maybe they spend all of their money on hockey gear. Have you ever played hockey?Fanny: No, no, not really. It's not that popular in China.Brian: What kind of sports are more common in China?Fanny: People always play soccer...Brian: Ah, soccer.Fanny: And table tennis. Table tennis is very popular.Brian: You're country is very strong at table tennis I think.Fanny: We always get all the medals in the big, you know, big eventsBrian: Why is table tennis so popular now do you think?Fanny: I think the first reason is that everybody can play it because it's very easy to get the, you know, the... to get ready for the sports. It's not expensive.Brian: No, I guess you just need the ball and the paddle.Fanny: The paddle. The ball and the paddle. Yes, and a partner.Brian: Right. Right. So have you played it then?Fanny: Yeah, I'm quite good at it.Brian: Oh, really.Fanny: Because my mother plays very well and so I always played with my mom, so I got better now.Brian: OK. So she taught you how to play table tennis?Fanny: Actually she didn't teach me but we always played together.Brian: Right.Fanny: Practice makes perfect.Brian: So they sayFanny: Yeah.

canada china deep national table brian it brian you brian so brian there brian no brian oh brian right
英语每日一听 | 每天少于5分钟
第630期:National Sport

英语每日一听 | 每天少于5分钟

Play Episode Listen Later Oct 6, 2019 2:44


更多英语知识,请关注微信公众号:VOA英语每日一听Fanny: Hey, Brian, what's the most popular sports in Canada?Brian: The most popular sport is definitely ice hockey.Fanny: Ice hockey! So do you play hockey by yourself?Brian: I don't actually. When I was a kid, I wanted to play ice hockey, and I was always like begging my dad and asking him but he always said 'NO'.Fanny: Why?Brian: I think the big reason is that... Well, he told me it was too expensive.Fanny: Is it?Brian: It's not cheap. You know, it costs quite a bit to get all the gear but the big reason I think is the practice was always very early in the morning.Fanny: Oh, I see.Brian: Like five a.m. is when the practice is, and I think he was too lazy to wake up and take me to the practice.Fanny: Oh, I see.Brian: He told me it was too expensive. Deep down I think he was.... he didn't want to drive me.Fanny: So are there many people playing hockey?Brian: There are. It's a great sport. It's very popular with many children, and maybe high schools and universities all have hockey teams.Fanny: Oh, nice. That means you're a lot of rich people in Canada, then.Brian: Or maybe they spend all of their money on hockey gear. Have you ever played hockey?Fanny: No, no, not really. It's not that popular in China.Brian: What kind of sports are more common in China?Fanny: People always play soccer...Brian: Ah, soccer.Fanny: And table tennis. Table tennis is very popular.Brian: You're country is very strong at table tennis I think.Fanny: We always get all the medals in the big, you know, big eventsBrian: Why is table tennis so popular now do you think?Fanny: I think the first reason is that everybody can play it because it's very easy to get the, you know, the... to get ready for the sports. It's not expensive.Brian: No, I guess you just need the ball and the paddle.Fanny: The paddle. The ball and the paddle. Yes, and a partner.Brian: Right. Right. So have you played it then?Fanny: Yeah, I'm quite good at it.Brian: Oh, really.Fanny: Because my mother plays very well and so I always played with my mom, so I got better now.Brian: OK. So she taught you how to play table tennis?Fanny: Actually she didn't teach me but we always played together.Brian: Right.Fanny: Practice makes perfect.Brian: So they sayFanny: Yeah.

canada china deep national table brian it brian you brian so brian there brian no brian oh brian right
英语每日一听 | 每天少于5分钟
第629期:National Icons

英语每日一听 | 每天少于5分钟

Play Episode Listen Later Oct 5, 2019 2:07


更多英语知识,请关注微信公众号:VOA英语每日一听Fanny: Brian, my last question seems too serious.Brian: It was. It was a very academic kind of question.Fanny: Yeah.Brian: You're testing me,Fanny.Fanny: Sorry for that. I would also like to ask you some funny questions.Brian: OK, hit me.Fanny: Have you ever seen a polar bear?Brian: Have I seen a polar bear? Unfortunately, I have not.Fanny: No, really?Brian: I think you need to go really far to the north.Fanny: North. Yeah.Brian: Like, up around, like the North Pole maybe because I think the polar bears live like only on the ice, and this is like really far from any kind of like, you know, city or civilization, and I've never been up to like such a remote kind of place.Fanny: OK, I see.Brian: Unfortunately no polar bears. I've seen other bears, but no polar bears.Fanny: OK, me either.Brian: No polar bears in China?Fanny: I don't think so.Brian: No.Fanny: I don't think it's cold enough to have polar-bear there.Brian: How about Panda? I've heard there are some Pandas in China.Fanny: Yeah, I saw Panda for several times.Brian: In the wild or in a zoo?Fanny: In the zoo.Brian: Oh, OK.Fanny: And on TV. I just joking. I just saw some pandas by myself in the zoos, but I don't think they are the, you know, how do you say, because I think in the wild we can see the Pandas. We can see their activities more.Brian: Right.Fanny: How should I put that?Brian: It's more natural maybe.Fanny: Natural, yeah. It's very natural, but in the, you know, in the zoos the pandas are always sleeping. They're... or they're just eating something.Brian: Lazy animals.Fanny: No, the cannot do some, you know, outdoor activities.Brian: Right.Fanny: Poor pandas.Brian: It's a shame.Fanny: Yeah, it is.

英语每日一听 | 每天少于5分钟
第629期:National Icons

英语每日一听 | 每天少于5分钟

Play Episode Listen Later Oct 5, 2019 2:07


更多英语知识,请关注微信公众号:VOA英语每日一听Fanny: Brian, my last question seems too serious.Brian: It was. It was a very academic kind of question.Fanny: Yeah.Brian: You're testing me,Fanny.Fanny: Sorry for that. I would also like to ask you some funny questions.Brian: OK, hit me.Fanny: Have you ever seen a polar bear?Brian: Have I seen a polar bear? Unfortunately, I have not.Fanny: No, really?Brian: I think you need to go really far to the north.Fanny: North. Yeah.Brian: Like, up around, like the North Pole maybe because I think the polar bears live like only on the ice, and this is like really far from any kind of like, you know, city or civilization, and I've never been up to like such a remote kind of place.Fanny: OK, I see.Brian: Unfortunately no polar bears. I've seen other bears, but no polar bears.Fanny: OK, me either.Brian: No polar bears in China?Fanny: I don't think so.Brian: No.Fanny: I don't think it's cold enough to have polar-bear there.Brian: How about Panda? I've heard there are some Pandas in China.Fanny: Yeah, I saw Panda for several times.Brian: In the wild or in a zoo?Fanny: In the zoo.Brian: Oh, OK.Fanny: And on TV. I just joking. I just saw some pandas by myself in the zoos, but I don't think they are the, you know, how do you say, because I think in the wild we can see the Pandas. We can see their activities more.Brian: Right.Fanny: How should I put that?Brian: It's more natural maybe.Fanny: Natural, yeah. It's very natural, but in the, you know, in the zoos the pandas are always sleeping. They're... or they're just eating something.Brian: Lazy animals.Fanny: No, the cannot do some, you know, outdoor activities.Brian: Right.Fanny: Poor pandas.Brian: It's a shame.Fanny: Yeah, it is.

The ALPS In Brief Podcast
ALPS In Brief – Episode 37: Don't Mind Your Own Business

The ALPS In Brief Podcast

Play Episode Listen Later Sep 11, 2019 24:28


How can we make real changes within the practice of law to lessen the impact of stress on individuals in this profession? In this episode of the ALPS In Brief Podcast, Chris Newbold checks in with Dallas attorney and advocate for wellbeing, Brian Cuban, to discuss the state of lawyer wellbeing now, the lifesaving impact one lawyer can have upon another, and our ethical responsibility to step up for one another.  CHRIS NEWBOLD:             Good afternoon. This is Chris Newbold, guest hosting today for the ALPS In Brief Podcast. And I'm here in our offices in Missoula, Montana with attorney and advocate for wellbeing, Brian Cuban, who's in here from the Dallas area. I just spoke at our ALPS bar leaders retreat, and we thought this would be a great opportunity for us to have ... We have a similar passion in terms of seeing our profession improve on the wellbeing side, and so I thought this would be a great opportunity for us to just kind of have a conversation about where the profession's at. Where do we need to go? And Brian, you're obviously out on the speakers' network, kind of talking about this particular issue, your personal experience, and so forth. I think I'd like to start with just you kind of putting into your own frame of reference. What is the state of the profession right now when it comes to attorney wellbeing? BRIAN CUBAN:                  It's a state that is a lot better than it was a few years ago. We have much more awareness. We have many more engaged professionals from the bottom up, the lawyers, the bar professionals, the local bar professionals, the state bar professionals. And we have awareness in big law. We have awareness within the boutique and the solo practitioner. There are areas that we can certainly do better, and we can certainly be more impactful, but we are definitely light years ahead of we were just three years ago. CHRIS:                                   And what do you think has driven that improvement in such a short period of time? BRIAN:                                  I think you have to give a lot of the credit to the ABA and the Betty Ford Hazelden Report, and that would also be Patrick Krill, who authored that report, in bringing the issue to the forefront with the staggering statistics, because I think that was a catalyst in really changing the conversation. Whatever people think of the ABA, you have different opinions, but you can't deny that that report was a seminal moment. CHRIS:                                   And why do you think that the issue right now is capturing a lot of attention in the legal community in legal circles? BRIAN:                                  Well, because of that report and because of the cumulative awareness, now we are looking around us and actually noticing what's going on. We may have been aware of what's going on, we may have seen what's going on. When someone dies by suicide, we are aware of it and we grieve it. But we are now much better in taking a look at that, and deciding where things could've been done differently. And three years ago, four years ago, it was more about just grieving and handing out, in the issue of suicide, handing out the 1-800 hotlines. Now we are moving beyond that, and really look at how we can make systemic changes to at least lessen the odds of those things occurring. CHRIS:                                   You talk a lot about kind of the impact that one lawyer can have on another lawyer. Right? And the responsibility that we have to not be kind of casual observers in this. Talk about that a little bit more as it relates to how we looked at, engineer a culture shift in the profession, and how every lawyer can make a difference one by one. BRIAN:                                  Sure. I talk a lot about not minding your own business. We have to create a culture where we are comfortable, or even if we're not comfortable. Let me step back from that because that's not comfortable. It's okay to be uncomfortable not minding your own business. That's a human emotion. But we have to get comfortable understanding that for what it is and taking that step anyways. When we see someone struggling, when we think we might be able to, or we are wondering, you just don't know. Is there a drinking problem? Is there a mental health struggle? Maybe the person's just having a bad day. To be able to not mind our own business for one moment, step outside of our struggles, step outside of our busy day, our billing, the things we have going on, and say, "How are you doing? Are you doing okay? Do you know that if you're not, you can come to me, and we can talk?" That doesn't require anything but empathy. And every lawyer, every person has that ability. CHRIS:                                   Is that a tough conversation for an associate to have with a partner? BRIAN:                                  Absolutely. And we have to follow protocols. Law firms need to establish protocols for when people are struggling. That is not realistic to expect an associate to confront a partner. But big law all have EAPs, so there's that. We all have lawyers assistance programs. Do you know as an associate, you can call lawyers assistance program, and you can let someone know what's going on? And they're not going to out you. I know that is a tough pill to swallow, and I know you don't believe that. But you can make that call. You do not have to identify yourself in any lawyers assistance program in this country, and you can say, "I'm in this firm, and I think this guy is struggling." And they will take it from there, so you can do that. BRIAN:                                  Within big law, we can talk about big law and then move on to something. Go down, go down. Within big law, it's important to establish protocols that are nonjudgmental, where everyone has a path. Everyone in the firm has a nonjudgmental path, a path that they feel safe voicing their concern if they see someone they think is struggling. So I can't tell them what that path is, but there should be multiple paths based on where someone is in the chain, right down to the clerk. CHRIS:                                   Talk about your opinions on ... There's an increasing body of work out there that says that the economics of wellbeing are conducive to a stronger bottom line. Right? And as we think about talent acquisition, talent retention, I know you work a lot in kind of big law firms. Right? BRIAN:                                  Mm-hmm (affirmative). CHRIS:                                   I think there's a really interesting play on the horizon for those who lead our profession from a big law perspective to be thinking about a commitment to this issue that could translate economically for the firm. Talk about that. BRIAN:                                  Absolutely. And I think, I doubt there are any managing partners, senior partners, firm CEOs are the real big ones that are not aware of that issue. It is the messaging is consistent just in general in society about the impact of addiction and mental health issues on the workplace and the economic cost. So the challenge becomes: How do we translate that into risk management? And I think they are starting to do that. That is not what I do. I'm a storyteller, I'm not a risk manager. But I think we are starting to see an industry, and people who do that, to go to a firm and say, "This is how we translate this into risk management to increase value to you," save you money. That saves the client money because on the most basic level, and we talked about the Peter Principle of Recovery. Right? How your level of competence keeps decreasing, and you keep trying to adjust your mindset to stay within that, you tell yourself you're at a high level when you're struggling. BRIAN:                                  That can be, in a general sense, stealing money from a client because you were not effectively representing the client. That is affecting the firm's bottom line, and that is the most basic level. When a lawyer is struggling, and not functioning at the non-struggling level, he may not even, or she may not even understand what that level is because they've been in the middle of it, lacking self-awareness for so long. That is affecting the firm's bottom line. That can affect client retention because there are lawyers out there who are not struggling. Everyone's trying to get the business. Right? So you have to maximize the ... You have to minimize the risk by putting lawyers in a position to succeed and to hit the top level of competence and move beyond that if possible. Keep raising that level. And it's hard to do that when someone's struggling with addiction, problem drinking, depression. BRIAN:                                  And I see lawyers all the time that talk about, well, I'm struggling with depression, but I was killing it, doing this. And I can't judge that. I don't know their situation. But I can say anecdotally, and what I see in the data, that I don't see how a person can look at the big picture, step back, and say, "I was going through all that and giving a dollar for a dollar." So I think all firms are aware of that, and I think that is achieved through a risk management model. CHRIS:                                   Again, it's going to be interesting too as big law tries to recruit talent out of the law schools, how much top talented students are actually looking for a wellness play in terms of the life, work balance that I think, generationally, I think is becoming more common. BRIAN:                                  That's a good question. I forget what the study was. Was it Am Law? Did the Am Law survey just come out? CHRIS:                                   Mm-hmm (affirmative). BRIAN:                                  And I couldn't find it. I think it may have been subsumed in one of the questions. But I reached out to Patrick Krill, who does a lot of the risk management stuff, and who authored the ABA Betty Ford Study, and asked him if he knew if we are surveying firms on wellbeing, if that is part of the survey. And I don't know that he had. I'll have to look and see if he responded, or he had an answer. But I think that may be not so much as a conscious play, but as a lifestyle play. It's just part of an overall lifestyle. Looking at the overall lifestyle, can we say that someone's going to say, "What's their drinking culture? I'm not going there"? There's no way to know that. But in the overall lifestyle play, I think lifestyle and wellness will become major factors, as Millennials and Generation Z, who have different priorities on what they want their life to look at as lawyers and as human beings. CHRIS:                                   Yeah. Talk more about, it's an interesting time in our profession given the fact that we have four separate generations all operating at the same time. Right? BRIAN:                                  Mm-hmm (affirmative). CHRIS:                                   But there are also studies out there, particularly those that have been done within the law schools, that say some of these behaviors and substance abuse and so forth are starting earlier, and are becoming more prevalent for those who have been in practice, particularly in private practice, for less than 10 years. As you think about that dynamic, and Millennials and so forth, that's soon going to be the largest chunk of lawyers in the profession. And as you think about the generational aspects of wellbeing, what's your take on that? BRIAN:                                  I think Millennials definitely have a different vision of what wellness looks like than ... I'm a baby boomer. The baby boomers, I come from, my lawyers' culture was a drinking culture. And I think when we look at things like the Sober Curious Movement, and what the Sober Curious Movement is, is not looking at drinking in terms of whether someone is a problem drinker, is an alcoholic, but what it looks like as a lifestyle, and as part of a healthy lifestyle, and whether you want it to be part of the healthy lifestyle without being judged on whether you're abstinent or not abstinent, and what that means to you, whether you're an alcoholic or you're not an alcoholic. I think Millennials and Generation Z are going to look at this differently in terms of just, I want to do the things that make me feel good, and that may not involve drinking. And I don't want to be judged for that. I don't want to have to explain myself. BRIAN:                                  And I think that is going to be a much easier transition and a much easier conversation than it is for my generation because it's beginning. It is beginning. The Sober Curious Movement is out there. We have bars within New York. There aren't any in Dallas and Austin. And you see a lot of the progressive towns, where you have bars, they just serve mocktails. And they revolve the fun around other things besides getting drunk. You go out and you're drinking fake pina coladas without alcohol. And they revolve everything around those, around the mocktails. The mocktail generation, they may be that. CHRIS:                                   That's an interesting one. If you had to assess right now, wellbeing in the legal profession, one being it's at an all-time low, 10 being, I think lawyers are both healthy, happy, engaged, where you put that on the spectrum? BRIAN:                                  I would put we're at a three or four, three or four. And that's great, and that's great. CHRIS:                                   A lot of room for improvement. BRIAN:                                  A lot of room for improvement. Four is opportunity. Right? CHRIS:                                   Yep. BRIAN:                                  Four is opportunity. Yes. And one of the biggest challenges I think we have, and if you look at big law, we with the ABA, and this isn't a criticism of the ABA at all. I think with the Wellness Task Force and everything, they have laid out the groundwork for all levels to participate, all stakeholders, solo, medium, boutique, the bar associations, all the way up to big law, corporate. I think they are laying out that groundwork. But I think when we get further down into the stakeholders, the solo practitioner, the small firm, we have a lot more work to do. And I think in that chunk is where we have the most improvement to do in our messaging, and the most opportunity because we have other challenges when we get down there. BRIAN:                                  If you work at big law, you have health insurance. And I knew big law lawyers who have health insurance, and still can't find a reasonable psychiatrist or therapist. They've complained to me about it. We have this health insurance crisis on so many different levels. And big law within the spectrum, you have privilege. You have health insurance privilege because you're going to have it. And you're going to have the EAP, and you're going to have this, and you're going to have that. BRIAN:                                  I don't know what the stats are, but I know anecdotally that a lot of the solos cannot afford health insurance. So when you can't afford health insurance, what are your options? You're going to 12 step. You are going to county. A lawyer don't want to go to county and get free treatment, that's very shameful. Right? If you even have that option as a reasonable option in your city. A lot of cities have terrible county free health services. And so we have that stigma of a solo practitioner and the medium, I don't have health insurance. I'm a lawyer, I'm not taking advantage of free. I can't. So they don't tell anyone. It's shameful. So how do we solve that? CHRIS:                                   Obviously, in our book of business with ALPS, we specialize in small firms and solo practitioners. And 65% of the policies that we issue are to solos. And they're generally a higher malpractice risk because they don't have a support network around them. BRIAN:                                  Absolutely. CHRIS:                                   You can't stop into Brian's office and say, "Hey. Let's have a conversation about this particular case." You have to build networks. You have to build connections in very different ways, which makes it I think, much more challenging. BRIAN:                                  And it does. And it's a challenge where you're struggling. It's going to be dependent on the particular situation. But you're making what would be decent money, you have a family. You can barely, after everything, then you care barely support your family. And you're more able to speak to this. You have a deductible that you can't meet anyways, even though you have health insurance. That's as almost as being uninsured. So we have all of those issues, and I don't know what the solution is to that. But that is one of the things that is a huge barrier to wellness within the profession, health insurance and the ability to pay for getting well, the ability to find people to get us well. We are becoming a cash only society in terms of wellness. BRIAN:                                  I consider myself very lucky because I have a psychiatrist, I've been seeing for 15 years, and he treats. I have one of the few treating psychiatrists out there with his therapy. But we also have the ghost networks that you may be familiar with. And I'm getting off on tangents, where you can't, even if you have health insurance, you can't find a treatment provider because they don't take insurance. CHRIS:                                   Where do we go? A lot of good activity now happening. You've got Pledge. You've got some state task forces going. Got a lot of discussion. Societally, we're seeing more vulnerability to talk about these issues, whether it's Hollywood stars, or sports stars, there's just more discussion, which I think is healthy. If we're a three or four right now, how do we get to a six or seven? How do we start to move the needle? Culture shifts in any society- BRIAN:                                  It's one person at a time. It's one person at a time. If you're talking, there's no magic pill to culture shift. We talked about this. It is one person at a time. There's one bar association at a time. There's one law firm at a time. And you hope, you hope, that the Malcolm Gladwell theories kick in, and you hit a tipping point. But it is much more, again, it is much more on different levels societal. If I can't afford treatment, what's the difference what the path is if I can't get there? Why should I tell anyone if I can't afford to get there? In Texas, we have a fund where if you go to them, a lawyer can get treatment. I believe it's an endowed fund privately. And maybe someone will correct me on this when they listen to it. But we have to find different ways to ... It's more than just laying the path. People have to be able to walk on it. BRIAN:                                  And if you can't afford to get the help, other than 12 step, and 12 step is great, Smart Recovery's great, Refuge Recovery is great, but they're all mutual aid. Mutual aid is not treatment. Mutual aid is maintaining connection, which is important. If you can't afford the treatment, and you have no way through that path, that's a huge problem that goes beyond the legal profession. When we talk about the legal profession, what we can do, I think we have to have a more societal view of that. How do we correct that? CHRIS:                                   Yeah. There's an interconnectedness to a lot of different- BRIAN:                                  You can't sever this. You can't sever out health insurance accessibility from all the other issues within the profession because most of the profession is solo and small. CHRIS:                                   And even on a tangent, one of the reasons I got involved in the wellbeing movement was I feel like there is a gap in expectations for what people think practicing law will be like, and ultimately what they find that it's going to be like, whether that happens in law school, or whether that happens because of law school debt. That again, to be a good lawyer, one has to be a healthy lawyer. And more and more, people are finding themselves boxed into a spot where they're actually doing something that they're not finding professional satisfaction in, which is then causing ... It can cause other things to kind of spin off from there. BRIAN:                                  I agree. I agree. Every lawyer is a story. Every lawyer is more than just the person under stress. Every lawyer brings their entire history of trauma, of however they grew up, family. CHRIS:                                   Family. BRIAN:                                  They bring it all through the door of that firm. They bring it all to the courthouse. So whatever that stress is may not just be the product of what's going on at that moment, the case, fulfilled expectations, unfulfilled expectations. It may be the product of a life story that has shaped someone that made them more susceptible to those issues. Does that make sense? CHRIS:                                   It does. BRIAN:                                  So we have to address the story and not just the moment that the lawyer is in. CHRIS:                                   Yeah. Anything else that you want to kind of relay as we talk to our policy holders and other interested listeners about just kind of the current state of attorney wellbeing? BRIAN:                                  If we want to change the paradigm of attorney wellbeing, for me personally, I think the most powerful tool is continue to encourage people to tell their stories. Keep telling the stories. Everyone identifies with aspects of other people's lives. There's going to be something to identify with. The connections, stories bring connection. Keep bringing people in to tell stories. Just encourage that. And I think through the power of storytelling, we will start to see more and more people tell their stories, and then they'll tell their stories. And I think that is how. CHRIS:                                   That reduces stigma. That reduces vulnerability. BRIAN:                                  That's right. I think as we reduce stigma, we will better empower lawyers to seek recovery. CHRIS:                                   Yeah. Brian, thank you. BRIAN:                                  Thank you. CHRIS:                                   We appreciate your time, and we appreciate your perspectives. And obviously, you're doing wonderful work in the storytelling side of the ledger because it's important that through the experiences of you and telling your personal story that it makes a difference. BRIAN:                                  I think law firms need to realize, and I think big firms are starting to do this, is creating a wellness program has different levels. There's storytelling. There is risk management. There is- CHRIS:                                   Scientific studies. BRIAN:                                  Yes. And there is the pure wellness aspect. How do we reduce stress? How do we become happier? What can we do to allow our lawyers, within the framework of our representation of clients, to feel better about themselves and what they do? Law firms are in a business. This is a business, and they are not yogis. We have to be realistic. Law firms are there to represent clients at the highest level possible. What holes do we need to fill to make that happen? Because that is what we do. We represent clients. And so we have to fill all these different gaps, the storytelling gap, the risk management gap, the wellness gap. CHRIS:                                   Got it. Again, thank you so much. And I hope you enjoyed listening to this podcast. As you know, ALPS is committed to being a leader in the wellbeing issues of the day affecting the legal profession. We hope you enjoyed this podcast. If you have any other ideas for topics on the wellbeing, please let us know. Thank you.   Brian Cuban, the younger brother of Dallas Mavericks owner and entrepreneur Mark Cuban, is a Dallas based attorney, author and addiction recovery advocate. He is graduate of Penn State University and The University of Pittsburgh School of Law. Brian has been in long term recovery from alcohol, cocaine and bulimia since April of 2007. His first book, Shattered Image: My Triumph Over Body Dysmorphic Disorder,” chronicles his first-hand experiences living with, and recovering from, twenty-seven years of eating disorders, and Body Dysmorphic Disorder (BDD). Brian's most recent, best-selling book, The Addicted Lawyer, Tales of The Bar, Booze, Blow, & Redemption is an un-flinching look back at how addiction and other mental health issues destroyed his career as a once successful lawyer and how he and others in the profession redefined their lives in recovery and found redemption. Brian has spoken at colleges, universities, conferences, non-profit and legal events across the United States and in Canada. Brian has appeared on prestigious talks shows such as the Katie Couric Show as well as numerous media outlets around the country. He also writes extensively on these subjects. His columns have appeared and he has been quoted on these topics on CNN.com, Foxnews.com, The Huffington Post, Above The Law, The New York Times, and in online and print newspapers around the world. Learn more at www.briancuban.com.

Experiencing Data with Brian O'Neill
017 - John Cutler on Productizing Storytelling Measuring What Matters & Analytics Product Management

Experiencing Data with Brian O'Neill

Play Episode Listen Later Jul 16, 2019 48:29


John Cutler is a Product Evangelist for Amplitude, an analytic platform that helps companies better understand users behavior, helping to grow their businesses. John focuses on user experience and evidence-driven product development by mixing and matching various methodologies to help teams deliver lasting outcomes for their customers. As a former UX researcher at AppFolio, a product manager at Zendesk, Pendo.io, AdKeeper and RichFX, a startup founder, and a product team coach, John has a perspective that spans individual roles, domains, and products. In today’s episode, John and I discuss how productizing storytelling in analytics applications can be a powerful tool for moving analytics beyond vanity metrics. We also covered the importance of understanding customers’ jobs/tasks, involving cross-disciplinary teams when creating a product/service, and: John and Amplitude’s North Star strategy and the (3) measurements they care about when tracking their own customers’ success Why John loves the concept of analytics “notebooks” (also a particular feature of Amplitude’s product) vs. the standard dashboard method Understanding relationships between metrics through “weekly learning users” who share digestible content John’s opinions on involving domain experts and cross-discipline teams to enable products focused on outcomes over features Recognizing whether your product/app is about explanatory or exploratory analytics How Jazz relates to business – how you don’t know what you don’t know yet Resources and Links: Connect with John on LinkedIn Follow John on Twitter Keep up with John on Medium Amplitude Designing for Analytics Quotes from Today’s Episode “It’s like you know in your heart you should pair with domain experts and people who know the human problem out there and understand the decisions being made. I think organizationally, there’s a lot of organizational inertia that discourages that, unfortunately, and so you need to fight for it. My advice is to fight for it because you know that that’s important and you know that this is not just a pure data science problem or a pure analytics problem. There’s probably there’s a lot of surrounding information that you need to understand to be able to actually help the business.” – John “We definitely ‘dogfood’ our product and we also ‘dogfood’ the advice we give our customers.” – John “You know in your heart you should pair with domain experts and people who know the human problem out there and understand the decisions being made. […] there’s a lot of organizational inertia that discourages that, unfortunately, and so you need to fight for it. I guess my advice is, fight for it, because you know that it is important, and you know that this is not just a pure data science problem or a pure analytics problem.” – John “It’s very easy to create assets and create code and things that look like progress. They mask themselves as progress and improvement, and they may not actually return any business value or customer value explicitly. We have to consciously know what the outcomes are that we want.” – Brian “We got to get the right bodies in the room that know the right questions to ask. I can smell when the right questions aren’t being asked, and it’s so powerful” – Brian “Instead of thinking about what are all the right stats to consider, [I sometimes suggest teams] write in plain English, like in prose format, what would be the value that we could possibly show in the data.’ maybe it can’t even technically be achieved today. But expressing the analytics in words like, ‘you should change this knob to seven instead of nine because we found out X, Y, and Z happened. We also think blah, blah, blah, blah, blah, and here is how we know that, and there’s your recommendation.’ This method is highly prescriptive, but it’s an exercise in thinking about the customer’s experience.” – Brian Transcript Brian: My guest today on Experiencing Data is John Cutler who is a product evangelist at Amplitude Software. I have been really enjoying John’s commentary on Twitter and some of his articles on medium about designing better decisions of work tools. If you’re in this space and you’re trying to figure out, “How do I get into the heads of what our customers need? What types of data is actually important to track?” Especially, if you’re looking at longer term outcomes that you want to be able to measure and provide insight on, I think you’re going to enjoy my conversation with John. Without further ado, here’s my chat with John Cutler. All right, we’re back to Experiencing Data, and today we’ve got the cutlefish as your Twitter handle is known, right is it cute-l-fish or cutlefish? John: We’re going to go with cutlefish, not cute-l. Brian: That’s what I thought. John Cutler is here from Amplitude Software, which is a product analytics company, and I wanted to have John on today, not because he is cute necessarily, but because I’ve really been enjoying what you’re espousing about customer experience, and particularly, product management. Which for some of our listeners that are not working in tech companies necessarily, there’s not really a product management kind of role explicitly by title. But I think some of the, as you will probably account to, the overlap between design, user experience, and product is sometimes a gray area. I think some of the things you’re talking about are in important in the context of building analytics tools. Welcome to the show, fill in, make corrections on what I just said about what you’re doing. You’re a product evangelist at Amplitude, so what does that mean and what are you up to over there? John: Well, we’re still trying to figure out the evangelist part because I don’t necessarily sell or evangelize our product, I think our product is great and I like to say it sort of sells itself. But what I’m really focusing on is helping up level teams, now that could be like our internal teams, our customers, but largely to just prospects and teams that have never even heard of Amplitude. What we’re really looking with this role is to do workshops, provide content, I do these coaching sessions with just random teams, so it’s like one hour coaching sessions. But generally trying to fill in the blanks, I think a lot of times people think, “Well, I’m just going to purchase this analytics tool or this product analytics tool,” and suddenly it’s going to answer all our questions and everything’s going to be fine. But what they don’t quite realize is that you really have to tweak a lot of things about how you work as a product development team to really make use of the great tools that are available. There are amazing tools available. I believe Amplitude is one of them, but there is so many good software as a service products to help product teams. But really at the end of the day, it’s about the team also being aligned and things like that. I really try to take a broad view of what it will take to help people make better products with this role. Brian: Yeah. Can you give an example? I think I know where you’re going with this, but give an example of where someone had to change their expectation? You need to change the way you’re working or let’s figure out what’s important to measure instead of just expecting. I think you’re alluding to like, “Oh, buy our tool, we know what the important analytics and measurement points are that you should care about and we will unveil them.” Instead it’s like, “Well, what’s important to track? Does time on the site matter? Does engagement in the application matter? Does sharing matter? What matters, right?” Can you talk about maybe where there was a learning experience? John: Oh, absolutely. I think maybe a good way to describe this as well is a lot of the learning, a lot of the questions begin way before the team is unwrapping the problem, unraveling the problem. I’m not sure this answers your question exactly but I think we could lead into something more specific. But imagine you’re a team and someone says, “It’s the second half of 2018, what’s going to be on your roadmap?” You think about it and you know what you know and you’ve heard customers tell you things, and the CEO of the company has subtly but not so subtly hinted he’d really like to see X or she’d really like to see X. You put together this roadmap, and at that point once you’ve got people thinking that those solutions are the right solutions, and you force that level of convergence, there’s not a lot of… measurement will not save you at that point, you’ve already committed at that point to deliver those things in that particular setting. One example of a practice that might change to further or amplify the use of measurement would just be not making… committing to missions, committing to move particular metrics that the company believes are associated with mid to long-term growth of the company, and commit to those things instead of committing to build features. An example, a real world example, maybe for someone’s effort, maybe what you’re shooting at before is do they shift from same time on site was important to something else? But for a lot of these teams, it’s shifting from build feature X to something like shortening the time it takes for a team to be able to complete a workflow. That’s the big shift for that. It’s nothing-to-something that makes sense, not necessarily even something-to-something. Brian: One of the things we talk about on the show is designing for outcomes instead of designing outputs. John: Yep. Brian: Because it’s very easy to create assets and create code and things that look like progress. They mask themselves as progress and improvement, and they may not actually return any business value or customer value explicitly. We have to consciously know what the outcomes are that we want let alone measure them. Do you run into the problem when you… If you’re coaching someone and getting them into this mindset of designing around an outcome and building your sprint or your next, maybe it’s even a strategy for the next six to 12 months around outcomes? That the important things to measure are not quantifiable in the tool? Do you work yourself out of a customer sometimes because the tool can’t actually measure what’s important? Does that ever happen? John: That’s a great question because I think that I do a fun exercise with people, which is called let’s predict the success of a relationship. We start with this activity and we just we forget about what we think is possible to measure and we just start mapping our beliefs. The team will say something like, “Well, I think that they shouldn’t have arguments.” Then someone will say, “Well, yeah, but it’s not just,” and maybe they’re talking about their own life like, “Well, we argue a lot, but we resolve our arguments pretty, we become stronger once we have the arguments.” Then the team will sit there and go, “Huh, okay.” It’s not just about the number of arguments, it’s ability to resolve your arguments. Brian: Resolve. John: We keep playing this game and we map our beliefs out to predicting these things, and some of these things we have more confidence about and some of these things we don’t have a lot of confidence about. Some of these things we strike and we get this big messy network of nodes and edges on the wall and that’s what we start working with. What’s really, really interesting is that we actually, as a company, there’s almost always some percentage of these things that we can contribute to in terms of what they can instrument in using our product. It’s not like…we would much rather our customers map the universe of things and acknowledge some things that might be difficult to measure or they’re just beliefs at the moment, they haven’t figured out how to measure them. Because really what Amplitude is very powerful at is doing behavioral analytics about these long standing customer journeys through products and those types of… Anyone who’s done a 15-table join and tried to communicate it to other people in your company and then tweak it and have people collaborate with it just knows how painful that is. That’s the type of pain that we solve. But back to the particular question, all the coaching really centers around mapping all the beliefs, and we’re usually confident that there are ways to measure some percentage of those things using our product, and that’s fine by us. Brian: There’s almost like a meta-question, right? John: I like, I’m meta, yeah, I got it. I’m there with you. Brian: You’re like analytics, you’re an analytics product and you talk to your clients about what’s important for them to measure. But then at some point, you have to know what’s important to measure to know that your customers are getting the value. John: Yeah. Brian: Is it directly…are you interested in what they’re setting up to measure and then that becomes your measurement? Do you piggyback off that or do you… How do you justify that the sprint or the epic we worked on last quarter provided business value? How do you…? John: Yeah, that’s amazing. Yeah, we definitely dogfood our product and we also dogfood the advice we give people usually first. To give you an example like in 2018, we had this North Star Metric called “Weekly Querying Users”, WQUs. That seemed about right and we did some analysis and it looked like, “Well, for increasing WQUs, it’s probably going to mean this and this and it’s going to be some early indicator that our monthly recurring revenue is going to keep going up”, etc. But there were obvious problems with that and we saw that. And as 2018 went along, we started to look at it more, and for any SaaS company, there’s a point at which your expansion within existing accounts starts to be really, really important in terms of percentage of revenue that you’re in. We thought, “Well, is that metric, can you hand WQUs to any new team member and say move that or move something that you think moves that,” and then be 100% confident they’re going to make good decisions? It broke down after that. What we did is we shifted to weekly learning users. Now a weekly learning user is not just someone querying, because anyone who uses one of these tools knows you could just sit there and query all day and not get an answer. In fact, querying more might indicate that you are not getting an answer. Not like doing anything with it. A weekly learning user is actually someone who shares some piece of digestible content whether it’s notebook, whether it’s a dashboard, whether it’s a chart, and they share it. We actually have this North Star, which is weekly learning users, we believe these three inputs drive weekly learning users and those are activated accounts. They need to know what they’re doing, they’re broadcasted learnings, which is the ability for the user to attempt to broadcast some number of learnings, and then a metric that is a consumption of learning metric which is the broad consumption across the organization of that particular piece of learning. This is all sounds really heady, why would we go to all these lengths to do this, and Weekly Querying User sounded good. But to us this really encapsulates a strategy. I think that that’s an important thing that a lot of people from pure analytics backgrounds or who are used to sitting with a queue of questions and answering those questions are maybe not used to the idea of moving towards a cohesive strategy as expressed by a number of metrics and the relationships between those metrics. That’s something that we really encourage our customers to do, it’s not data snacking. It’s not like, “Oh, I got this itch today so I’m going to answer this question.” That took a lot of work to come up with that, and we’re confident about those relationships between those things. But more importantly, it helps any new team member like all you need to do is show a skilled product manager or a skilled designer or a developer even and say, “This is our current mental model as described by the relationship between these things. Where do you want to slot in? What do you have in mind?” That’s really, really powerful. I don’t know if that roundabout way of saying we take this really, really seriously. Brian: If I can sum this up, and I’ll need you to repeat part of it, but you have monthly querying users, so what I take that to be is I, the customer, using, paying for the Amplitude software, a querying user means I went in and I looked for content or I literally used a search interface to probably look up an analytic or some stat. You moved away from the number of people doing that and how often they’re doing it as a measurement of your company’s success to this three-stage kind of thing that I heard included sharing some knowledge. But can you repeat what those three grains were? John: Oh, yeah, sure. The North Star is what we call “Weekly Learning Users”, so WLUs. Those are users performing the behavior of interest, which is sharing, distributing some piece of content. Then we believe there are three inputs that explain that metric or three inputs that we really focus on. One is that the accounts are activated, which are meaning that does this account just have a minimum number of people doing that? The next one is broadcasted learnings, which is me, “is the initial attempt to broadcast the learning?” Then consumption is the actual long tail consumption of that particular learning. Let’s say it is a story like I sign up with Amplitude, no one’s really using it all because we haven’t really onboarded and we haven’t really instrumented, we haven’t done any of that stuff. Okay, well, then we get that done, so we get just that we’ve activated, we have at least a certain number of users learning, some amount. I’m in the tool, I’m in a notebook that is really interesting that I’m putting together that tells a story with data, very interesting about the mission that I’m working on. I attempt to invite people to that notebook or get them involved, that’s the broadcast. Then, finally, the consumption of learning would be the accumulated interactions with everyone with a notebook. If that sounds too complex… Brian: Got it. I don’t know, I- John: But the whole idea is for people listening and I think especially folks, designers and other folks is that their experience with analytics might be something very simple like “what percentage of people used feature?” Or something. What they’re not getting is the context, the relationships, and what I’m describing here, there’s amazing belief networks, there’s causal relationship diagrams, there’s just simple stickies and string on the wall, whatever you want to call them. But we’re describing our beliefs as it relates to the data, and I think that, that’s really important. For some background too, I’m not a data scientist, I’ve been a product manager and a UX researcher and that’s been my focus for a long time. It’s not like I’m a pro at this stuff, and even for me, though, it grounds me in what I’m working with and makes my analysis a lot easier. Brian: I imagine you may have some, not resistance, but when you’re working with quote data people or analytics people or data science people in your staff, in Amplitude, are there routine things that you wish they would hear that would sink in or problems that maybe they’re not aware of that you think they should be like, “We need to look at the problem differently.” Maybe you encapsulated that and that’s why you have this three stage thing as a reaction to the data snacking mentality, which is “What data do we provide? Great, they have it, now they can eat it.” Is that their reaction to that or are there other things that… I’m thinking of our listeners, we do have data scientists and analytics type people, and I’m wondering if you were to work with them, it’s like, “Here are the things that I want you to think about here to get our head a little bit out of the tech for a second and into the decision support mentality.” Anything, what would you espouse or advocate? John: That’s a great question. I think I can answer it a little bit with a story. I was the PM for search and relevance at Zendesk, like support software. My background is not in information retrieval or the guts of search but very, very early on working on a team with very, very talented people, data scientists, data engineers really, at the end of the day. One thing that I very much advocated for is we needed to be able to get everyone in the same room, we needed to get the people who were experts in what I would just call the actors, the support agents, or the support managers, or the the person trying to get help on their Uber app. There’s experts in that, there’s domain experts. There’s also people who are experts in the surface area, the surface, like the interface. There’s people who are really, really good at searching or finding information on mobile. There’s people who’s very good at finding information on, in our case, like the support agents view in their web browser. Then you had our people who are really smart and creating data as it related to search and they were great at data engineering, etc. The main thing that I noticed was that there’s just a silo-ing, and the people on my team were just craving, craving to be sitting next to someone who understood these other things really well. I think that for a lot of listeners it’s probably you know that, you know that from a first principles angle, you’re like, “Well, I know that there’s a bigger picture here.” I know that just in our case of searching like we knew that raising the mean reciprocal rank of a search term, we are searching it, where does the person click? Do they click on the second item, the fifth item. In theory, raising that would make a difference but when we look more broadly, it really didn’t relate to deflection of tickets and things like that. Our traditional metrics, the way we were measuring success is locally related to search. If we broadened our horizon to what makes a difference for the human beings out there who need their support tickets resolved or the support agents or things, that perspective was so helpful. What I would say to the folks on listening, it’s like you know in your heart you should pair with domain experts and people who know the human problem out there and understand the decisions being made. I think, organizationally, there’s a lot of organizational inertia that discourages that, unfortunately, and so you need to fight for it. I guess my advice is fight for it because you know that that’s important and you know that this is not just a pure data science problem or a pure analytics problem. There’s probably there’s a lot of surrounding information that you need to understand to be able to actually help the business. Brian: Sure, and you’re echoing sentiment I had a Data Center from the Broad Institute on, he was mentioning how much he’s like, “My work is so much more powerful when I have a great domain expert with me who really knows the space.” We met over music, I’m a musician as well and he was trying to explore creativity in the context of jazz. He’s a enthusiast in terms of music, he’s not a musician, but he’s an enthusiast so he understood some of it but he didn’t have the lingo. It’s just interesting when you look at someone working in that space trying to answer a question about like, “How does creativity work in jazz?” They don’t have all that domain lingo. Being on for a change, being the domain expert, it was fascinating for me to be on the other side because usually I’m the hymn advocate, even though I’m not a data scientist, as a designer and a consultant, we deal with this all the time. It’s like, we got to get the right bodies in the room that know the right questions to ask. I can smell when the right questions aren’t being asked and it’s so powerful so I totally agree with you on the need to provide that bigger context sometimes so you don’t just- John: Jazz is just a mistake played more than once, right? Brian: Yeah. Oh, there’s tons of them, there’s no wrong notes, just bad choices. John: It’s very easy for them to create the model for that. You’re just making a mistake and play it more than once. Brian: Exactly. John: Then you go back to the top. Brian: Exactly. Well, even that, like play the head again. Well, what’s a head? Oh, okay. Well, it’s just one form of the tune and they cycle through it and play chorus. Well, what’s a chorus? Okay, shit. But even having that, you can imagine that on the business client, this was like a fun side project he was working on. But you can imagine that in a business context where you don’t even know what you don’t know yet about it yet. I hear this as happening, they’re still in the, especially, in the non-tech company space, the more traditional companies that are, “Oh, we have 100 years of data and let’s go, we need to go buy some data scientists and throw them at this pile of data and then magic will come out the other end.” John: Oh, I think that that happens in tech companies, too, though. I think that that’s the number of data scientist friends who’ve been hired in is like some large effort. Then, one, they’re like, “Yeah, and data engineering was the actual problem.” Okay, we spent our first year there just going around in circles on solving that problem, and then, yeah, the number of friends I have who’ve been frustrated by that dynamic, even in tech companies, I think it’s a pretty common, more common everywhere than we would think. Brian: Tell me a little bit about, so we’ve been talking about the analytical part of all this, the quantifiable parts largely but you have a UX research background as well. We talk, on this show, we talk about empathy, we talk about the needs to go talk to people to ask good questions, to ladder up, get into all that. How does that fit in? When you’re working on an analytics tool, can you fill us in on your approach to qualitative research and more the soft, mushy stuff that UX people deal with? John: Yeah, and it’s interesting. For context, I’m not a UX researcher at Amplitude but I’ve done that in prior environments that required the chops. But in talking to teams and doing it, I think so many of the basics apply in the sense that you’re really… Not to overuse the jobs-to-be-done stuff, you’re really, really trying to understand what decision this person is hoping to make. You’re really trying and then what impact that decision has on the rest of the organization and who is involved in it. I think anyone who’s done this knows that even as a UX researcher, if I do like a co-design activity with customers related to anything analytics oriented, it’s just, “Oh, we’re going to do an Excel mock up or you know.” Anytime you get customers involved with that, it’s so easy. If either side, and I’ve been on both sides of this, it’s so easy to forget what you were trying to do. I think that has a lot to do with the exploratory aspect of data in general that we have a gut instinct that if we just saw this stuff organized like this, then it would somehow be valuable for something we have to do. I think that for, and I don’t know if it answers the question, but I think it requires the same chops but also understanding that people just have a hard time, users have a hard time talking about what they are looking at and what they’re hoping to get out of the data when they’re looking at it over and over and over. I think that really, it really you have to use all the tools in the tool shed. To give you an example, there was… I don’t know if you’ve done these things too, I’ll do these exercises where it’s like, “Okay, we’re revamping the app, it’s just going to be this mobile browser with three numbers on it.” That’s it, that we’re not going to have all these fancy charts, we’re not going to have all this stuff. And three numbers and then one piece of narrative advice, like “Consider this or do this.” I love activities like that from a UX researcher standpoint when I’m working with people because it really, really forces them to just get out of their own head to think about it. That’s like a common trick and you probably have a lot more. But, yeah, I don’t know if I answered the question but it’s a lot of the same tools. But I think also you have to really… It’s a job environment, they’re making decisions, they’re hiring these analytics to do a job. But then with this added layer that I think that people are just incredibly, they find it incredibly difficult to talk about the numbers that they’re looking for. Brian: When you say it’s difficult for them to talk about it, are you talking about their digestion of what’s on the screen or their expression of what’s important to them to actually find out? What do I actually want to learn about? Is it… John: Both really, and that’s the thing that I think just makes it doubly as hard. It means that if you show them something, and I think that we can all relate to it too, like any of us who have been shown some mock or some prototype of information on the screen, you can see your gears turning. You’re having to process it and where did this come from? Can I trust it? What is it? We see that all the time just in Amplitude, it’s people… Our understanding of how people experience some of these querying screens that we have, when you actually ask them to just talk through what they’re thinking about as they move through it, it’s just it’s so complex. Data trust, where is this stuff coming from, data over time, their challenges with certain visualization techniques, even if it’s “the right technique” like, “Well, I just need a radar chart.” Just like no you don’t really. But that’s how they’ve been anchored or whatever. It’s just complex. I don’t have a fancy answer, it’s just complex. Brian: What you just told me reminds me of you had mentioned you do this exercise, and I’m wondering if it’s the same exercise that I’ve done as well with analytics tools, especially, in the context of monitoring applications. There’s some system that’s monitoring stuff and it’s supposed to advise you on what should I do next or what happens with something like this? It’s like “instead of thinking about what are all the right stats to do”, it’s “write in plain English like a prose format what would be the value that we could possibly show”, and maybe we can’t even technically do it today. But it’s “express the analytics and words like you should change this knob to seven instead of nine because we found out X, Y, and Z happened. We also think blah, blah, blah, blah, blah, and this is how we know that, and there’s your recommendation.” It’s highly prescriptive but it’s an exercise in thinking about the customer’s experience. How close to that can we get to it, where I don’t have to infer from charts or whatever the date of this format is, how close could we get to something that prescriptive and then try to work backwards from that. We probably can’t get right to that full prose. Is it something like that where you jump to this conclusion, like value conclusion or something like that? John: Yeah, and I do a couple of these like that, one is if I have an Alexa or if I have a tube of crackers or whatever I’m like, “This is the interface now.” You can ask Alexa, that’s your interface. This is a beautiful future world where you just have your smart person, your smart assistant to do these things. Yeah, similar type of, I think, what it does is it creates just enough dissonance to snap people out of just immediately trying to unravel the visualization, which can be I think all of us do that. I think that that’s our instinct whenever we look at something like that. Brian: The default next question is how should we visualize this data that we’ve captured? That’s the itch that we may not be the one to scratch? John: Yeah, but I think that’s also what we can test with, that point, when we’ve got that need to fill, that’s when we can try multiple approaches, I think to see that. That’s my experience, there is that point at which you need to you go back to the drawing board. Although, I would say that depending on the subject, the user in that case or the person you’re working with, some people are really, really good at just the co-design aspect. I don’t know your experience with that, but it seems to have a lot to do with what the people do each day and how they think about visualization and stuff. But I’ve done co-design sessions with people who the next step was, “Well, let’s start thinking about, let’s start drawing, let’s start doing some other things to do it.” I think that depends a lot on the background of the people that you’re working with. Brian: If you were starting over today with Amplitude, is there either a… Not necessarily a feature you would change but is there something that you would approach differently? If someone says, “Hey, we have this JavaScript widget, you paste it in your, all your app or whatever, and we can track almost anything, any activity, whatever. What should we show?” Is there something you would change about maybe how you guys went, the process you went about arriving at the current product that you have? John: That’s interesting. I wish Spencer and Jeffrey were here to answer because they’re the founders of the company. But I think that it’s funny how products have their history about them, so Amplitude, for example, it was a Y Combinator. The founders didn’t go to Y Combinator, they had this fancy voice app or something that they were working on, and this was actually just their effort. They were like, “Well, we kind of had this app,” and they surveyed what was available and then just said, “We really need, there’s a thing, it’s a little different. It’s like an event based measurement thing. We really want to instrument this app and know whether people are using it or not.” That was the founding story, it wasn’t their key thing. A lot of the early customers were folks from Zynga or Facebook or other places that had moved on to other startups and then they wanted something that helped with the 90% of product questions that they had around retention and engagement and complex behavior patterns. Does this behavior predict this or is there a relationship between these things? That’s the founding story, these discerning teams that had a fair amount of autonomy and were tasked with working in these environments and that they wanted a product that they could do that with. When I’m thinking about what I would change as the newcomer to the company, now maybe five years on, was it, yeah, or six years or seven years on, I think it’s what they’re starting to do now, which is interesting. This notebooks feature to me is just so, so, so good and it gets away from a traditional dashboard. But with a notebook, it’s very similar to a data science notebook, you can weave this story and this narrative and you can make the charts live and you can communicate it and you can do those things. As a product manager, that is pure gold to me, and it’s just we’ve started to do those things. I think that the answer would be more of what they’re really digging into now, which is around this learning user concept and how do you create stories with the data to motivate your team and keep everyone aligned and things. I think if it hadn’t existed and I joined a year ago, I would have been like, “Oh, you’re missing this little element like the actual part that integrates it into day to day product development.” But they’ve just started doing that now, so they stole my answer. Brian: Nice, and just for people that don’t know, tell me if I got this right, but the notebooks for people that aren’t data scientist, it’s effectively a collection of both quant data like maybe charts or tables, stats, data collection that you guys have put into some visualized widgets or whatever it may be insights plus qualitative stuff like my commentary on it. Like “Why do we care about this? Well, design is currently tracking these metrics because we’re running a study on dah, dah, dah, and we think we can move this up” and that’s a proxy for this other thing. You can provide all this context in that storytelling mentality so that when someone new comes in, they’re like, “Why do I care about time on site or whatever the metric?” John: Exactly, and that’s the huge thing. One thing that we learned, we’re in this business of teams getting going and it’s like it’s so easy to get to the point where you’ve instrumented your products and any new person joining your company can’t make heads or tails of anything. It’s like you’ve got all these events, are these duplicate events? We’ve invested a lot of time in this taxonomy feature, which helps manage your taxo- It’s way, way, when people try to build this stuff in-house, they just forget about all that stuff. Like, “Oh, it’s just events, it’s semi-structured information, we’re going to put it here and then we’re just going to run queries on it.” But all that’s really, really important, so back to the notebooks thing, one of the biggest use cases we’ve seen in notebooks is people using them to onboard people and orient them with all the available analytics that and metrics and things that are being recorded. That’s actually a really good testament to show that need. Brian: They use it to actually show how they use Amplitude at the- John: Right, it’s pretty meta. Brian: Wow, that’s awesome. John: Yeah, we see them do that or even some of them use it for training like, “Okay, let’s start with this idea that we’ve got this whole universe of users. Well, how would we segment those? Well, here are the key ways that we segment.” Okay, that we’ve gone down one layer, and so I think that that’s kind of cool. But, yeah, for people who don’t know about these data science notebooks, it is a mix of qualitative, quantitative, you can embed charts that are live or you could embed point-in-time charts, you can make comments, and you can do various things. I think for a lot of people who don’t do this for a living, they get intimidated and it’s not, a lot of the stuff is not rocket science, but it’s just annoying to have to go to someone in your company and say, “Hey, can you spend like three or four hours just explaining our information to us.” That’s really hard to do, so these notebooks help with that particular thing. I think that type of stuff is really the future of moving away from just very, very stayed dashboards and things like that. Brian: Right. I don’t know if there’s much in terms of predictive or prescriptive intelligence in the tool, does the tool provide that as well or is it mostly rear view mirror analytics? John: It’s interesting you say that, so we have this new feature called Impact Analysis, and so in Impact Analysis you are able to go from day zero of a particular use of a particular feature and then see the impact that it has on another set of things. We give some statistics and we give some other values in there. So we’re middle of the road moving to more and more complex questions. But one thing that our team realizes that anything… To prevent people from making bad decisions or making poor statements, you need to be so, so, so careful about presenting what you’re actually showing if there’s a correlation between something or even implying that there’s causation without doing the background on it. We’re not completely rear view and we’re in this middle ground, but we’re also going to go on record and say we’re predicting what this value’s going to be in six months. Brian: Right, and the reason, and not just the hype of machine learning, blah, blah, blah, that’s not my main reason for asking was going to lead into my next question, which was do you struggle at all with the expression in the tool of the evidence that backs up any types of conclusions that you’re showing? Do your customers care? Well, how did you guys arrive at this? John: They absolutely care, and so like one of the… We spent a lot of time in the ability, in Amplitude, any data point that you see, usually, if you hover over it, there’s a message it says, “Click to inspect,” or you can create a cohort off of that or you can see the paths to that particular thing. What we really made this effort to do is exactly right, is that people… Working at two analytics companies now, Pendo and now Amplitude, data trust and people being able to unravel what that number means in a way that makes sense to them seems like one of the massive limiters. It’s just that thing that it’s best laid plans start, that’s the entropy that exists with these tools as people use them more and more. There’s just it gets messier, a bunch of hands, a bunch of people are playing around. At least with Amplitude, they try to make a really big effort to like if you want to understand why that number is there and what is behind it, we try to make that really easy. John: But we could always do better because in my mind this is the number one difference between the more data snacking approach like “it kind of looks interesting, that number,” something that you can really pin your business on, which I think is what people… That’s the dream of all this, but then once people start to ask good questions really, it really challenges the tool. Brian: John, this has been fantastic chatting with you, I really appreciate you sharing this with our listeners. Do you have any parting wisdom or anything you’d like to share with people that are maybe working more on the tech side or the data side of the thing and the vents and they’re trying to, “I want to produce more use, whether it’s reports or actually software applications. But we’re trying to provide better stuff, more engaging, more useful…” Any closing advice you might give to someone like that? John: I’m going back to what we were talking about from the UX research angle is that I think that in this area, there’s so much temptation to any one of us who’ve done this is that there’s this constant push and pull between customizability and then this promise of preemptive insights like smart system, it’s intelligent, it’s doing these things. Then so how prescriptive are you? Is what you’re presenting and actually helping someone to do their job. I think that it’s probably reflective of my learning at Amplitude is that really going to human centered design, like really thinking about if the person is able to effectively do their job and really able to answer the questions that they’re answering. I think that what happens is all of us want that, but then we hit this wall and we start to get really some conflating information from users and we start to… Then we’re like, “Well, okay, we’re just going to let them find what they want to find. I think that, that exploratory type of research should be something that’s possible in these tools. In fact, I think that leads to asking some of the best questions when users can do that. But I would really hope that people don’t abandon the idea of being really patient and seeing if before they just throw their hands up in the air and will say, “Well, we’ll just make a query builder and that’s it, that’s it.” Like really seeing if that thing can solve the problem. I don’t know if that makes sense, but I think it’s something that’s really been on my mind a lot lately. Brian: Yeah, I talk about sometimes like with clients and people in this space about knowing whether or not you’re producing an explanatory product or an exploratory product. It doesn’t mean you can’t necessarily have some of both but there’s a big difference between the value, like in your case, I’m guessing a lot of these people really want some explanations when they tell us about what we can do to make our software better. They’re not there for fun, but they might run across some things they didn’t know were possible which begins the questioning. But if you put all the effort on them, you’re just shifting the tool effort over to the customer. You’re making it much harder for them to get the value out at which point they may abandon or quit. It’s not just knowing are we explanatory or exploratory or at least there’s this feature or there’s this outcome that this goal that we’re working on, the sprint. But just being aware of that I think is part of the challenge. Like should they be able to walk away with… I should be in the six to 19 apple’s range, whatever that means, like, should I be able to walk away with that level of clarity or not? I don’t know. John: I think that it’s also something like, that’s interesting you said that, because a lot of features that we’re experimenting with, one thing that Amplitude does is anytime you… We built an undo feature, so we try to make it really easy to go really deep and then just back out really gracefully. It’s like infinite, every version of the chart as you work on one is saved. You can back out of it. There’s a lot of features like Save As or you’re built like you could go to someone else’s chart, and if you have some idea of where you want to take it, you could edit it. But you’re not editing their chart, you’re editing a copy and you can think about it. But back to that point is I think that there’s many things that you can do to encourage, that you can juggle those needs concurrently for having definitive things and then also encouraging exploration. We’ve found that with our product as we experiment more. One, I just told you about it, like the ability to telescope into a metric and then do more exploration around it. That didn’t exist before and then we were like, “Oh, well, how about when you hover over any data point and you allow them to inspect that or explore that?” I would say that there are ways to accommodate both at least from our perspective and what we’ve learned. Brian: Right, and I think there’s always some of both of that, and I don’t think most people are going to take everything on its face value. But I hear what you’re saying. One of the things I’ve been recently working on is a UX framework for this called the CED framework, just conclusion, evidence, and data. It’s not necessarily a literal expression of “Where should the screens go? What goes on every screen?” But the concept that when possible, if the tool can provide conclusions with the second tier of being the evidence by which the tool or application arrived at this conclusion. Level three might be really getting into the raw data like, “What are the queries? What was the sequel that actually ran?” Or whatever the heck it may be, there’s times when maybe that data is necessary early on a customer journey. It may just be, “We need to build trust around this stuff.” We can’t be totally black box, but we don’t actually expect people to spend a lot of time at the D-level. We really want them to work in the C level, but it’ll take time and evidence is required sometimes if you’re going… Especially, I got to go to the boss, I can’t just tell him it’s 18, we should be at 18, not 12. It’s like, “Well, how did you arrive at that?” John: We find a lot is the instrumentation rigor is like that’s one of our big problems to solve really is there are these products on the market that do just try to record everything for it. There’s a lot of entropy there and there’s a lot of issues. They’re very fragile, in some ways, so we as a company definitely believe in explicitly instrumenting these events. But at the same time, you’d be amazed how many product teams… There’s this thing called a user story, you write a user story that’s from the user’s perspective, what are you trying to do? Now you would think that like, “Okay, well, we’ll tack on to the acceptance criteria for any story that you’ll use a noun and a verb, and you’ll get these properties and you’ll get these things. Integrating instrumentation on the product level, not necessarily like, “Okay, we’re instrumenting how our servers are working or anything,” but just, “What did the user do?” That’s still relatively new. People who’ve worked in environments that just do that as second nature that, okay, they’re in another thing, but we find that companies even need to change that approach. You’ve mentioned your CED thing like what’s interesting is that extends to the UX of instrumenting. It’s pretty interesting from that, it’s you’re the user trying to draw some conclusion, you’re doing these things. But it’s almost like service design, in some sense, because you need to design the approach to even instrumenting this stuff. It makes your head hurt sometimes. Brian: Yeah, all this stuff makes my head hurt. But that’s why we have conversations, hopefully, we’re knowledge sharing and it’s like giant aspirin conversations or something, I don’t know. But I found this super useful, thanks for coming on the show. Where can people follow you? I know I found you on Twitter. I forget how but what’s your [crosstalk 00:47:23]- John: Twitter is good, I’ve installed a Stay Focused app to prevent more than 20 minutes a day on Twitter. But you will find me eventually there. I write a fair amount on Medium and it’s pretty easy to find me there. Brian: Okay. John: If you just type in “John Cutler product”, I have about 400+ posts on Medium. Some are better than others but- Brian: Awesome. John: … yeah, that’s the best way for right now. Brian: Awesome. Well, I will definitely link both of those, your Medium page and your Twitter up in the show links. Man, John, it has been really fun to chat with you here. Thanks for coming on the show. John: Cool. Yeah, thanks for having me. Yeah, awesome. Brian: Yeah, super. All right, well, cheers. John: Cheers, bye-bye.

Experiencing Data with Brian O'Neill
013 – Paul Mattal (Dir. of Network Systems, Akamai) on designing decision support tools and analytics services for the largest CDN on the web

Experiencing Data with Brian O'Neill

Play Episode Listen Later May 21, 2019 44:35


Paul Mattal is the Director of Network Systems at Akamai, one of the largest content delivery networks in the U.S. Akamai is a major part of the backbone of the internet and on today’s episode, Paul is going to talk about the massive amount of telemetry that comes into Akamai and the various decision support tools his group is in charge of providing to internal customers. On top of the analytics aspect of our chat, we also discussed how Paul is approaching his team’s work being relatively new at Akamai. Additionally, we covered: How does Paul access and use internal customer knowledge to improve the quality of applications they make? When to build a custom decision support tool vs. using a BI tool like Tableau? How does Akamai measure if their analytics are creating customer value? The process Paul uses with the customer to design a new data product MVP How Paul decides which of the many analytics applications and services “get love” when resources are constrained Paul’s closing advice about taking the time to design and plan before you code Resources and Links: Akamai Twitter @pjmattal Paul Mattal on LinkedIn Paul Mattal on Facebook Quotes from Today’s Episode “I would say we have a lot of engagement with [customers] here. People jump to answering questions with data and they’re quick. They know how to do that and they have very good ideas about how to make sure that the approaches they take are backed by data and backed by evidence.” — Paul Mattal “There’s actually a very mature culture here at Akamai of helping each other. Not necessarily taking on an enormous project if you don’t have the time for it, but opening your door and helping somebody solve a problem, if you have expertise that can help them.” — Paul Mattal “I’m always curious about feedback cycles because there’s a lot of places that they start with telemetry and data, then they put technology on top of it, they build a bunch of software, and look at releases and outputs as the final part. It’s actually not. It’s the outcomes that come from the stuff we built that matter. If you don’t know what outcomes those look like, then you don’t know if you actually created anything meaningful.” — Brian O’Neill “We’ve talked a little bit about the MVP approach, which is about doing that minimal amount of work, which may or may not be working code, but you did a minimum amount of stuff to figure out whether or not it’s meeting a need that your customer has. You’re going through some type of observation process to fuel the first thing, asset or output that you create. It’s fueled by some kind of observation or research upfront so that when you go up to bat and take a swing with something real, there’s a better chance of at least a base hit.” — Brian O’Neill “Pretend to be the new guy for as long as you can. Go ask [about their needs/challenges] again and get to really understand what that person [customer] is experiencing, because I know you’re going to able to meet the need much better.” — Paul Mattal Episode Transcript Brian: Hi. We’re back with Experiencing Data here and I have Paul Mattal on the line who is currently the Director of Network Systems at Akamai. How’s going, Paul? Paul: It’s going great. Thanks, Brian. Brian: I’m glad to have you on the show and you’re working at one of these companies that I think of as kind of like oxygen in the internet. It’s everywhere but you don’t really see it because it’s all invisible and that’s actually this big thing behind the scenes. You’re swimming around the internet as all these data and Akamai’s in the middle of all of a lot of that, largely responsible for making sure it’s moving quickly and is available at the right time and in the right places. As I understand it, you’re in a new position, you’ve changed domains, previously you were working in the space of legal patent work, digital forensics, and you built some tools that your previous company makes. You can tell us a little bit about those. Now, you’re moving more into the bits and bytes of the internet and you’re responsible for creating data products like decision support tools for people that keep the Akamai network going and running smoothly and anticipating demand? Did I get all that right? Paul: That’s exactly right. At Akamai, we like to think of it as we’re the ones that make the internet work. There’s a notion that the way things work on the internet is you just simply put your content up on a server and the rest is history. But these days, there’s a lot of complexity. There are many, many users who want access to the same content at the same time. Akamai makes that content all available to everyone when they need it and how they need it. In my past job, as you mentioned, was quite a bit different, although it had some similar qualities. I was helping to develop systems and tools for lawyers and for consultants for lawyers, in some cases to analyze patents, to help them better understand their subject matter of patents, so we’ve created some applications there. Here at Akamai, I’m also creating applications and tools to be used by the members of the network’s team who are responsible for deploying and maintaining the whole Akamai network. That breaks down roughly into tools that help us manage our work, tools that helps us with analytics and planning, and also tools that help us visualize data. It is somewhat of a shift. A lot of the domain knowledge is different, but it’s interesting that so many of the problems end up being similar. Brian: Tell us a bit about who the end-customer is. How many internal customers do you have? Do they break up into personas or segments? Like you have network administrators and you have whatever people. Tell us a bit about who those people are that you’re designing these tools for or you’re helping deploy these tools for. Paul: There are a couple of groups. The infrastructure group which is responsible for really deploying all of the servers and maintaining all of the servers. That’s a set of one class of user who is mostly using our tools in a logistical fashion to coordinate and organize their work. There’s a planning team who is thinking about the capacity of our network: Do we have enough for what’s coming down the pike? Do we have the right capacity in the right places? We also have users who are thinking about the architecture of the network and thinking about how we build and optimize our hardware and our network, to continue to be cutting edge and to continue to meet the needs of our customers. So, different people looking at different tools and different data for different purposes. Brian: Cool. Just a little fun question here. This is probably because I don’t know the domain very well. When there’s a big event coming on the internet, let’s take something like the Super Bowl, or the World Cup, or the new Game of Thrones, or whatever, are there literally changes that you guys go and make to facilitate a major event? Or are those actually more like a blip in terms of internet traffic and all of that? Paul: It depends. Certainly, some of those events have been some of the largest data traffic we’ve seen move across our network. Often, there are considerations especially depending on where exactly we expect the viewers to be for those events. We may deploy additional capacity in one geographic area or another. Brian: Going back to the people that are the end of these tools—again, these are decision support tools—how do you know if your team is doing a good job? How do you measure that the end-customers are getting the right information and they believe it, that they’re willing to take action on it? Do you a regular feedback cycle or interaction with these different personas that you talked about? Paul: Yes, That’s one of the most important aspects of what we do is trying to figure out how to measure, how exactly to measure how we’re doing, especially in the analytics space, right in the productivity tool space is a little simpler. We can tell pretty much where the pain points are. People come to us and say, “This interface isn’t working for me or these five things are in five different places,” and they’re going to use them as one. Those are a little bit more straightforward kinds of feedback. With analytics, we find it goes a lot to how successful were we predicting, how much excess capacity did we end up within a place we didn’t need it, for example, and all those kinds of questions. We meet with our customers pretty regularly and we also have some metrics that we compute to give us an idea of how we’re doing. Brian: Are those quantitative then? Those are all quantitative metrics or do you have any type of qualitative conversations that go deeper than like, “I wish there was a filter for the date on this chart,” or stuff like that. Those things do matter and it’s the sum of all those little, tiny details that add up into good experiences typically, but I’m curious if you have any deeper qualitative type of interaction with these end-users. Paul: A lot of what we’re discussing these days, for example, is there’s a tremendous amount of telemetry available that comes off the platform. Numbers about what’s going on in the network that could measure and we could capture. In many cases, a lot of the conversations are about, “Hey, can we capture more of this data? Is there’s somewhere we can get sample more frequently?” or, “Can we get access to this kind of data that we don’t have right now, so that we could be able to optimize more effectively on the things that actually matter, where the actual bottlenecks are in the network,” versus more simplified models based on less data. We’re finding that’s one of the very common kinds of feedback we’re getting is for more data and differently sampled data. Brian: We talked about this a little bit when we did our pre-call on whatever about topics and you mentioned that you have different classes of users in terms of who’s capable of designing an effective tool for themselves. I think you said you’ve got a mix of tools that are custom-built which might have two-way interaction, where data’s being put back in through forms or whatever in the tool. Then you have Tableau and some kind of rear-view mirror type historical reporting interfaces which, as I understand it, those start with the user a blank slate? Is that correct? Then they put together the views that they want and the reporting that they want? Kind of curious just for you to talk about how many people are using custom tools that you built versus the ones that they designed for themselves. Are people doing a good job creating the tools they need for themselves? Do you have a sense of that feedback that they’re looking at the right data, that they know how to interpret it, they know how to visualize it? Can you talk a little bit about that? Paul: Sure. Our organization has hundreds of people in it and I would say at least probably 50%–75% of those users are highly technical, which is very helpful, actually. They often come to us with a better idea of what they need. In some cases, we can give them good interfaces to go build their own tools. The historic approach to that here has been to give them pretty decent access to the data in our databases and even the engines themselves. Many of them are comfortable writing their own queries. But we also have a very mature ecosystem of query exchange. We have this tool that allows people to write their own queries and share them with others, and then others can manipulate those queries further and customize them to their own needs. They’re very familiar with that. The piece we’re bringing in next is this idea of really making visualization also of a self-serve kind of area where, with a tool like Tableau, you can point Tableau at the same data that might be the out part of these queries but then have powerful visualizations on top of that. The other piece of this is how much of it do we do and how much of it do customers create from old cloth. It’s kind of a balance. Some people come to us and say, “Here’s what I need but I don’t know how to do it,” and then they ask us to do it. Sometimes a customer actually originate it and will say, “Here’s the report or this query that I think is interesting,” and we’ll say, “Oh yeah, that’s interesting. Why don’t we bake that into something more sophisticated?” It’s kind of a mixed bag but I would say most people come in to us, there’s usually something that we already have that they can use as a basis and then they can usually modify that further. That’s been a pretty successful model for us because it really lets people get what they want, get the very detailed, precise view that meets their needs, but benefit from all of the other work that we’ve put into to making those views and those approaches effective and mature over many years. Brian: It sounds like you don’t struggle as much with engagement with the analytics. You actually have plenty of that? Or would you say that’s not necessarily entirely true? Paul: Yes. I would say we have a lot of engagement with that here. People jump to answering questions with data and they’re quick. They know how to do that and they have very good ideas about how to make sure that the approaches they take are backed by data and backed by evidence. Very mature in that sense people. Brian: Since you have this mix of these custom tools that you guys are building and how slick, how do you decide which wheel is going to get the most oil? You’ve got these custom tools, you’ve got some Tableau stuff, you’ve got people coming in, maybe they are using Tableau, but they don’t know how to build the reporting they need. Is it based on a business driver? If we get problem X wrong, this cost a lot of money, so we’re going to put our team on this problem and sorry, Jane, you’re going to have to take that Tableau tutorial and figure it out yourself. How do you resource like that? Paul: As with any place, there’s certainly scarcity. Everybody wishes they had choice in people they had and twice them. Maybe even the computing resources and everything else that they wished they had. At a high level, a lot of it is driven by a strategic plan, by an idea for what we as an organization are trying to accomplish. That determines which things get the most people and the most priority. There’s actually a very mature culture here at Akamai of helping each other. Not necessarily taking on an enormous project if you don’t have the time for it, but opening your door and helping somebody solve a problem if you have expertise that can help them. We find that it’s a balance of those things. We work on major roadmaps, large projects or tools for strategic and efficiency. Particularly efficiency reasons that we’re wishing to achieve as an organization. We spend a lot of us of the time helping the folks who need it, to get where they need to get. Brian: That makes sense to me. Is the feedback loop in place such that there’s some point in the future which you look backwards on these projects, or products, or tools that you’ve built and say, “Did we make a dent? What were the success criteria for those? What’s that three month or six month rear-view look like?” Do you guys talk about what that is, so you know whether or not you hit your objectives? “And since project X got four times the resourcing, did we get four times the value or whatever the value was that was determined?” I’m always curious about these feedback cycles because there’s a lot of places that they start with this telemetry and data, then they put technology on top of it, they build a bunch of software, and a lot of times the releases and the platforms are looked at as the outputs and the final part of this and it’s actually not. It’s the outcomes that come from the stuff we built that matter. If you don’t know what outcomes those look like, then you don’t know if you actually created anything meaningful. So, I’m curious, that feedback cycle, does your business know? Like, “We have to see. We can’t get predictions wrong or we don’t want to have a little more than 12% server waste from the wrong prediction, whatever.” I don’t know what those metrics are. Can you talk about that feedback loop from a business and a value perspective? Paul: Sure. Some of the things we’re doing are very tied to specific business goals for certain kinds of […]. These are targets for dollars saved in terms of operating the network at a lower cost. In those areas, we are very acutely being measured pretty much on a yearly basis along those lines. We’re working towards getting better at what happens in between and the rest of the year. You can often go off-track a little bit somewhere in one month and that can cost you down the road. We’ve been focused on trying to get to more of a monthly evaluation where we can break things down, try to deliver a value on a monthly basis, then get feedback from customers, and also to see how they’re affecting the numbers in real world application of this data to actually optimize. They never to learn. Are we consistently on track? Or are we moving in the right direction? I say that it’s definitely an element of what we do. Right now, we’re doing it more like every six months or a year. At a granular level, we’d like to move that to be a much shorter term and focus on constantly delivering smaller chunks of value. Brian: That’s good to hear. My understanding from when we talked to that you be almost what I would call a product manager, even though you’re not developing commercial products but you’re overseeing the creation of these different tools. I’m curious. Do you have the equivalent of a product manager role where one person’s job is to make sure that whatever analytics and/or custom tools you guys build for the network operations team or the team that deploys the servers, they live and breathe that world and they’re totally responsible to service those staff that work on those technical problems? Is that how it’s shaped or is everyone’s touching all of the different parts of Akamai? I’m just wondering how you get into that world. What’s it like to be the server administrator and predicting where to deploy servers? How is that structured? Maybe you don’t have enough staff to break it down that way and I’m asking a leading question, but I’m curious if you could talk about that a little bit. Paul: We actually do have four teams within our group and they are divided up with focus on the different stakeholder groups within the network’s organization. There is definitely some division. There’s also some who sort of cross responsibility but there are definitely folks who know specific subject matter areas very well and who are critical in those areas to anything more than the simple bug fix in an area is going to involve somebody managing that area. Now, for our largest projects of all, we do have product managers as well as project managers involved in the creation of the larger ones. I’d say about two or three are major systems and the other several hundred tools or various pieces that we manage, care and feeding over the years. That stuff is either being taken cared of by one of these SME areas or it’s sort of rolling out to me especially if it’s something new. A large part of my role is helping to at the outset to say, “Let’s define what this tool looks like. What it’s doing? Who is going to use it? What those people need? What are the processes at play here at Akamai that this is a part of? Do we understand those processes? Have we optimized those processes?” That’s a lot of what I end up doing with the rest of my team, to define those new products so that they’ll be the most successful as we build them and get off in the right direction. Brian: That sounds awfully like design to me. Paul: It is. Brian: Is that traditionally how things have been done in this group or is this something that’s new? How’s that being received? Are you getting like, “Just give us the data and we’ll put it together,” and you’re like, “No. Help me understand what are you going to do with it at the end.” It’s just like, “Well, I’ll know when I see it.” Is it that kind of thing or are they like, “Great, let’s get it right.” What’s that process like? Paul: The history of our group is that we have probably not put enough focus on planning and design, but I think it’s an area where people realize that we need to spend more. They really are now focused on that as a goal and understanding that it’s important in many context. That’s not to say that there aren’t sometimes when people will say, “Here’s what I need and I need it tomorrow,” and you know that comes up. It’s a balancing act that is always a challenge, but I think there is an increasing sense and increasing support across the network’s organization and maybe beyond that using some sort of platform organization, other parts of engineering at Akamai. It’s really a much better result if you make a plan upfront, you understand the context into which you’re creating this new thing, and you understand how it’s going to impact processes and flow that occur once you’ve built it. Brian: Maybe you haven’t been there because I know you’re somewhat new in this position but if you’ve been there long enough to go through a full cycle with that where you’ve taken someone through like, “Let’s hold on. Let’s figure out what’s actually needed. What the real problem’s face is like,” and then you’ve gone all the way through maybe building a product or a prototype or something. Have you gone through a full cycle yet? Or are you still in the design phase on some of these? Paul: For a couple of smaller projects, we’ve definitely done that. It’s been posted where people have come and said, “Hey, could you do X?” and we’ve said, “Well, we could do X but that actually requires more code and more effort. We have this other thing over here that actually can accomplish that and then it puts you more in the driver’s seat because you can help maintain it later. How’s that?” Often, the results are very positive. If we can actually get things implemented faster, people are happier in the end, it’s less maintenance for us overall in the long-haul. So, yes on the small things. On the bigger things, those are in progress and we’re excited about those design phases that’s going on now. They’re larger and more productive than they’ve been in the past. We’re excited to see probably by the middle of this year or later in the year that there is also an output of that. Brian: Can you tell us about what some of those activities are? I think some of the people listening to this are not coming from digital-native companies. The whole product design process is maybe foreign to them. Can you tell us about like, “What are you doing during this time? Why aren’t you writing code? You have the data. Put Tableau there and build some reports.” What are you doing that’s not that during this phase? Paul: Usually, the first thing we’re doing is trying to find out who are all the people that interact with this data, or these kinds of systems, or these particular business objects, or aspects of Akamai’s network. Often at the start, we find there’s common problems. There’s people and other parts of the organizations who may already have a tool that allows them to do this. Now we also want to go and observe those users. We want to go find out are they satisfied with the tool and is the tool meeting their needs, which are actually two different questions. Really seeing whether what they’re doing is a process that’s optimal and seeing whether we can create a solution to this new problem or borrow a solution to this new problem and change it in some way that helps everybody. That’s one of the interesting aspects of design here is that there are many groups that interact with the same data in so many different ways. I think a lot of that design phase is about, “Hey, one of the tools out there, how do we integrate them so that they’re the least work for us? How do we make sure that we’re choosing a good solution and we’re actually meeting the user’s needs?” Probably the last part of that, especially in our group is, and not getting stuck on not meeting 100% of any single tool, because in some cases, you’ll get 80% of the use cases for five groups and you have to say, “Okay, that’s fine. For this other case, they’ll do it this way.” That’s a lot what goes into the design process. Really just understanding what the users are looking for, how does that match up with stuff we already have, and then how do we integrate that use case into what we maintain, in a way that is streamlined and effective for them and also streamlined and effective for us. Brian: When you talk about getting to know what they’re going to do with this information and how they want to use it, is that through them self-reporting through, like talking to you in a meeting? Is it through you observing them doing what they’re doing now without the tool? Is this largely like, “Right now I can’t do any of this. I need this tool so I can enable this new thing that I currently don’t do,” or is it more like, “I have this long, convoluted process I have to do in order to achieve X. Can you help me build the tools so I can do it in less time?” One of those there is like a recipe for something already and you’re trying to optimize it and the other one is more like, “This is a new thing I’ve never been able to do but maybe I could with your help.” Do you put it into those buckets and then if it’s the former, how do you figure it out? Is it observation or just them talking to you about how they’re going to use it? How do you figure that out? Paul: There definitely are both of those scenarios come up. We often get requests about processes that already exist. At some point, there’s some tool in there already, sometimes it’s a highly manual process. In that scenario, one of the great assets of this particular group is that we have whole standards, documentation, and work co-optimization group here within network, which is a true treader to have. Usually, when that kind of problem comes up, the first thing we do is say, “Okay, let’s work with the [worker?]group and let’s get a really good map of what this process looks like end-to-end and let’s look at what the steps are, what tools are now, where the pain points are, and then once we have drawn this out so that we understand the context, let’s actually first look and see whether there’s any way we can optimize the process, because the last thing we want to do is to spend a lot of time implementing automation steps for a process that shouldn’t be that way in the first place.” We look at that process and we say, “Okay, how do we simplify it? How can we bring automation to bear, to make the process more straightforward, take less time, take less human effort.” Then, we usually at that point, sit down and actually design the automation solution around that. That’s one kind of problem and that process of workflow [analysis…] does involve what we call business process performers in each step. These are not the people who manage those areas. These are the people who are actually doing the work. We want to know what are they actually doing, we talk to them whenever we can, and we actually go [observe.] them because we can learn at least this much and probably more by watching what they’re doing and what they’re struggling with. That’s one side of it. The less well-described problems, those are the ones where nobody knows yet. This is something brand new. There, I think we tend to sit down and try to understand what these users are trying to accomplish, what problems they had in the past that this addresses, because so often, something that’s new is really some way connected to something old. We did this before. It didn’t really work or we have a gap here, there’s something that we’re not doing as well as we should or we’re not doing at all, and how do we get that better? A lot of it is about understanding what they’re looking for and I think the big element of that that’s key is breaking it down into manageable phases so we can deliver quickly and iterate quickly. The last thing you want to do is sit down and say, “Okay, we think we understand exactly what you need. Now, we’re going to go off for a year-and-a-half and build it.” That’s always a recipe for disaster. So, what we want to do is sit down and say, “Let’s take the most important crux of what you’re trying to get at here. Let’s implement something in a few weeks or a month. Then, let’s sit down and get it in your hands, get your feet back on it, and then figure out the next piece.” This doesn’t mean we can’t have a plan for like, “Here’s really roughly what we think the phases are going to be and how they’re going to be laid out. But let’s have these checkpoints along the way and let’s iterate based on what we actually are able to learn, what we actually to benefit from.” That’s what we found is the key to those kinds of new projects is the fast iteration cycle. Brian: We’ve talked a little bit about the MVP approach, which is about doing that minimal amount of work, which may or may not be working code, but you did a minimum amount of stuff to figure out whether or not it’s meeting a need that your customer has. You’re going through some type of observation process to fuel the first thing, the first asset or output that you create. It’s fueled by some kind of observation or research upfront so that when you go up to bat and take the swing, there’s a better chance of at least to base hit and not a strikeout or something. I fully support that type of effort instead of me going off, “We all have the data. We’ll send you back a kit and then you can put it together yourself. It will take a year, you’re going to dump everything into the data warehouse, and then you fall into the Gartner 85% of ‘Big Data Projects That Failed’ category, which nobody wants to be in that whole thing. I think that that’s really great you’re doing some of that. Earlier, you said you have a lot of different products and you said two to three of them are large. I’m just curious. Large by number of users? What justifies putting a dedicated product manager on it and what’s the extra love that is received because you’re one of those two or three? Is it they have a dedicated designer and dedicated engineers? It is more research time? Tell us about your big ones. Paul: I would say that the largest projects usually have someone who’s effectively an architect for the project, who may also be part of the development team. They usually have a development team. It’s usually several people. At least in an ideal world, three or four is probably typical for larger projects. Then there’s a project manager who is managing the project and also how that reports up into our overall program of initiatives for that organization. Usually, those projects, to get substantial research, are going to be priorities for the organization at some higher level. The last [piece] probably the most important piece is that there’s a product owner, who may or may not be the architect, in some cases the architect plus feedback from the stakeholders is enough to make it work, but most of the time, it’s usually somebody who is also the project owner or the product manager who’s really responsible for shaping the design of that product. For example, one of the big tools we’re working on has to do with increased virtualization that we’re rolling out within the Akamai network. This is a big project because it’s a company-wide initiative. We have somebody working on designing the interface and working to figure out how the interface to provisioning works within the context of all the processes we have here at Akamai. Another example, one of our key analysis or databases for analytics and for planning. There, the ownership is essentially a data team who is responsible for this database, the universe of this data, and roughly how it’s visualized. That team has responsibility for that database for its schema, how we got that data, where it comes from, its cleanliness, but also for the visualization aspect of it, and then it’s now also inheriting this ‘how do we use Tableau as part of that ecosystem?’ Just to give you some idea how these projects are organized and then what the roles are. Brian: Got it. Your large projects fall both into maybe a database that’s sitting behind Tableau as the interface and then you have another one, the server provisioning one, which sounds like a custom web-based application or something? Paul: That’s right. Brian: So then, for that one, to me that’s the decision support. The provisioning action would be the decision the human takes theoretically, upon some analytics or insight, that made them decide, “I need to push the button to deploy X servers in Y region or whatever it may be.” Is that decision support part of that custom product as well? Or is this a balance between two or three different Tableau instances that are behind different databases, and then you co-authored the provisioning tool and just do the action, you make the decision in that tool, but the insight about when and how and where to make the decision is not part of the tool? Or is that actually in that tool as well, where it’s like, “Hey we predict that you should do this,” or “Here are the stats. You come and make the decision on provisioning based on what’s in this tool.” How much is that wrapped together versus a series of different URLs you’re going to bounce through and piece together yourself with eyeball analysis? Paul: There’s some separation of systems and we’re actually moving into a more integrated direction. For example, a lot of us begin with a customer demand. Either we determine or the customer gives this information that helps us determine that they need capacity in a certain area. That drives the process but that also factors in to a lot of decision-making that goes on, right about exactly what gets deployed, where, and when. There’s elements of this that are integrated in a sense that the deployments that we’re planning to make to expand a network or to choose a network in some way, are inputs into this great big optimization model where you say, “Here’s what we know we think is coming, here’s what we know we think is going to happen, here’s the moves we’re planning to make when and where we will run out of capacity. I think we’re moving towards a more integrated feedback model for that where less of the work has to be sort of connect the dots by a human being and more to saying, “Okay, all the systems have this data and if they can exchange it with each other, then we have all the data in the places we need it.” Brian: You’re talking about this feedback cycle annually, then you might look back and say, “How well did we arrange for these optimizations? We planned for these predictive resource allocation or whatever it may be,” you look back and see how accurate that was by looking at the utilization rates or something? Paul: Exactly. Is there a customer demand we failed to meet? On the flip side, were there servers sitting around underutilized? Brian: Got it. When we talk about Akamai going out and deploying servers, are you talking about deploying physical hardware in a datacenter or are you just talking about provisioning up virtual servers on the cloud somewhere? I’m just curious because you guys are a network that sits on top of the internet. Does this involve lots of humans and you’re rolling out hardware and all that or are we really talking about virtual deployments? Paul: Some of each, but one of Akamai’s hallmarks, actually, is the breadth of the network. We have some servers in pretty remote locations. These are physical servers. These are places in some cases where there isn’t a lot of good cloud providers or anything like that. Brian: Johnny’s going to the Arctic to install some Dell servers. Paul: That’s right. I’ll tell you there’s a datacenter in Antarctica and it’s possible we have a server there. Brian: Someone’s got to go rewire it once in a while. Oh, we’re out of a storage. There’s still disk drives in that cloud up there. They might be flash, but they’re still a piece of hardware. Paul: One of the things that really differentiates Akamai is that we have this extensive edge network which really is pretty unparalleled to the industry. Brian: When there’s a report back then, do they look at the travel cost for Johnny going to the Arctic on an ice clipper or whatever it’s called, and then was it worth going there to deploy these servers? Paul: Sure. Increasingly, that is the kind of analysis that we’re doing. [and] we manage the network according to some of that. When there’s servers that are sitting somewhere and just not getting used or they’re there but they were extremely expensive to put there, then maybe that’s not a place to cover in the future. But in some cases, it makes sense to keep our coverage really good even if in one area where we’re sacrificing a little bit of cost to keep the coverage up over all and that might be worth it. Brian: Right. I’m curious. Now that you’ve been here awhile and through all these, do you have any stories or anecdotes about a particular user experience, a customer/internal user that found an approach that’s useful, or you’ve got some feedback or maybe it was negative, but you learned something not to do it again, or any type of anecdotes that you can think about that were insightful for you? Paul: Yes. We had a number of tools that we use for manipulating all the business data around what’s deployed in our network. I would say that I guess the best [anchor??] I had about them is that we’ve found there are tools that are very commonly used because of their flexibility. But if you actually look at the tool itself and you look at the complexity of the tool, it’s not that complex. It’s the default way of using things and people have used it continually because it has always been the way of using it, when in fact, there’s nothing particularly special about it. We’ve seen in certain circumstances where you give somebody a new tool that just works faster, it provides very similar interface, or you found some tweak to that workflow that really can save them tons and tons of time, and you just watch their eye pop out. They realized that you just probably saved them two hours a day. It’s interesting that that can happen in pockets and corners. There are many tools that have been built already to help with that but there are still plenty of opportunity for it. Brian: That’s great. That’s one of the things I think I love about being a designer. A lot of times, the big picture rewards like, “Was this product valuable or profitable?” There’s these lagging indicators which take a while and they don’t have the same hit as those small wins which were like, “I just saved this guy two hours a day doing a task that has nothing to do with his skill set. It’s just labor. He’s not using his brain. He just has to download these logs, put them in Excel, run a lookup, and then blah-blah-blah. And now it’s just bam.” I love that and that’s part of it for me, at least the joy of doing design work and stuff. I totally relate to the way you’re saying about helping someone. It is so much about helping people and you also feel like, “Man, I’m also helping the company because I’m helping this person use his brain to do much more important things than maybe he was doing with tool time, like downloading crap and uploading into a tool, sorting it, changing this, and blah-blah-blah.” Most of that is tool time. That’s not the, “Should we put more servers in Antarctica?” It’s not the thinking time and the valuable business time. Paul: It’s one of the very fulfilling aspects of the job like this where you’re building tools for internal stakeholders. In many software industries, you build product but your users might not be accessible for you or hardly at all. “I see that they’re right down the hall.” It’s a great fulfillment I think in building something that meets a person’s need and having that feedback and knowing that [did.] and having the satisfaction of that. Brian: Yeah, that’s awesome. This has been great. I’m curious. Do you have any closing advice for other product owners or data product leaders, analytics practitioners in your space, maybe about changing domain, you’re in a new domain? Any kind of insights looking back in this six months or however long that’s been that you’ve been there? Paul: I would say above all, my advice would be take the time to plan. Nobody ever thinks they have the time to design or to plan. To some extent, you just have to say, “If we don’t do this, [you know] the thing we build is not going to be worth nearly a much as the thing we could build.” You’re much better off figuring out the right design for something before you build it. Even when you think you don’t have the time, ask your managers and then your management chain for that space you need to get that pipeline started the right way because once you actually design things, you’re going to find that the number of people you’re helping and the degree at which you’re helping them is much greater. Brian: I can totally get behind that. That closing statement, I agree. First of all, you’re putting that anchor in place to do good things down the road. You’re probably reducing you’re technical debt and you’re maximizing your ability to change, especially when you’re doing small deployments. You’re probably going to need to change stuff, so a little bit of designing and planning upfront can do a lot for both the engineering part of it but also most importantly the customer experience getting that right. So, amen to that. Paul: Maybe the last part of that, just to add, is sometimes we take for granted the job we’ve been at for a long time. We actually take for granted that we think we know what everybody needs already. Sometimes, actually, it’s a blessing when you come to something brand new, because you’re not to assume you already know what that person across the hall really needs. You say, “I’m going to ask that person because I have no idea.” I would say these problems are the same everywhere. Whether you’re in a place, in a domain you’ve been for a while, there’s still going to be some aspect to that problem and you don’t understand what that person is living with. Pretend being the new guy for as long as you can. Go ask again and get to really understand what that person is experiencing because I know you’re going to able to meet the need much better. Brian: Yeah, I think that’s great advice. You don’t have that bias from your own knowledge about the domain or your assumptions there and that’s just a good design technique in general is being able to compartmentalize. We all come to the table with bias but if you can try to put that aside. For me, a lot of times it’s like leaving with new stuff with clients. It’s explain it to me like a five year old and I tell my clients sometimes this like, “What does it mean to deploy a server? What is he literally going to do and how does he know when to push the button to go do that,” and sometimes they look at you like, “What do you mean? You don’t know what a server is?” It’s like, “Well, I know what a server is, but literally I want to see every step it takes to know to go put one there. Is the guy going to walk out there with a box and rack it up? Or is this a virtual thing? Literally tell me what that’s like, that whole process.” Even though I know something about how that works, you’re going with that clean slate because you want to be open to those things you don’t know to ask about, and that the more you can come in with removing as much of that bias is possible, you might find those nuggets and stuff that just pop out to you that the customer doesn’t know to tell you about, but that they’re just going through their process. They’ll often ping you. You have these moments where you’ll learned something you didn’t go in there to ask about and sometimes it can be a really big thing like, “Wow. That’s really what the gap here is. It’s not this. It’s this another thing.” Having that really childlike innocence about the way you inquire can help enable that. Paul: Absolutely. Brian: Where can people find out about you? LinkedIn? Twitter? Are you out there in the internet? Paul: I’m on LinkedIn, for sure. I’m on Twitter. I’m on Facebook. Brian: Where are you on LinkedIn? What’s your Twitter handle? I’ll put the links in the notes, too. Paul: I think I’m @pjmattal everywhere. Brian: @pjmattal on Twitter. Okay, great. I’ll put your information up there. Thanks for coming on the show. It’s been great to hear about what you’re doing in Akamai and good luck as you guys charge forward. Paul: All right. Thanks.

Experiencing Data with Brian O'Neill
012 – Dr. Andrey Sharapov (Data Scientist, Lidl) on explainable AI and demystifying predictions from machine learning models for better user experienc...

Experiencing Data with Brian O'Neill

Play Episode Listen Later May 7, 2019 42:33


Dr. Andrey Sharapov is a senior data scientist and machine learning engineer at Lidl. He is currently working on various projects related to machine learning and data product development including analytical planning tools that help with business issues such as stocking and purchasing. Previously, he spent 2 years at Xaxis and he led data science initiatives and developed tools for customer analytics at TeamViewer. Andrey and I met at a Predicitve Analytics World conference we were both speaking at, and I found out he is very interested in “explainable AI,” an aspect of user experience that I think is worth talking about and so that’s what today’s episode will focus on. In our chat, we covered: Lidl’s planning tool for their operational teams and what it predicts. The lessons learned from Andrey’s first attempt to build an explainable AI tool and other human factors related to designing data products What explainable AI is, and why it is critical in certain situations How explainable AI is useful for debugging other data models We discuss why explainable AI isn’t always used Andrey’s thoughts on the importance of including your end user in the data production creation process from the very beginning. Also, here’s a little post-episode thought from a design perspective: I know there are counter-vailing opinions that state that explainability of models is “over-hyped.” One popular rationalization uses examples such as how certain professions (e.g. medical practitioners) make decisions all the time that cannot be fully explained, yet people believe the decision making without necessarily expecting it to be fully explained. The reality is that while not every model or end UX necessarily needs explainability, I think there are human factors that can be satisfied by providing explainability such as building customer trust more rapidly, or helping convince customers/users why/how a new technology solution may be better than “the old way” of doing things. This is not a blanket recommendation to “always include explainability” in your service/app/UI; I think many factors come into play and as with any design choice, I think you should let your customer/user feedback help you decide whether your service needs explainability to be valuable, useful, and engaging. Resources and Links: Andrey Sharapov on LinkedIn Explainable AI- XAI Group (LinkedIn) Quotes from Today’s Episode “I hear frequently there can be a tendency in the data science community to want to do excellent data science work and not necessarily do excellent business work. I also hear how some data scientists may think, ‘explainable AI is not going to improve the model’ or ‘help me get published’ –  so maybe that’s responsible for why [explainable AI] is not as widely in use.” – Brian O’Neill “When you go and talk to an operational person, who has in mind a certain number of basic rules, say three, five, or six rules [they use] when doing planning, and then when you come to him with a machine learning model, something that is let’s say, ‘black box,’ and then you tell him ‘okay, just trust my prediction,’ then in most of the cases, it just simply doesn’t work. They don’t trust it. But the moment when you come with an explanation for every single prediction your model does, you are increasing your chances of a mutual conversation between this responsible person and the model…” –  Andrey Sharapov “We actually do a lot of traveling these days, going to Bulgaria, going to Poland, Hungry, every country, we try to talk to these people [our users] directly. [We] try to get the requirements directly from them and then show the results back to them…” –  Andrey Sharapov “The sole purpose of the tool we built was to make their work more efficient, in a sense that they could not only produce better results in terms of accuracy, but they could also learn about the market themselves because we created a plot for elasticity curves. They could play with the price and see if they made the price too high, too low, and how much the order quantity would change.” –  Andrey Sharapov Episode Transcript Brian: I’m really excited to share my chat with Dr. Andrey Sharapov today from Lidl, the large grocery store chain from Europe. Andrey is a data scientist. I met him at Predictive Analytics World while we’re speaking there. He told me that he was quite interested in removing the black from the black box concept that goes with predictive models. This is called Explainable AI or Ex-AI. I think this has a lot of relevancy to designing good decision support tools and good analytics that people can believe in and will engage with. There’s obviously been a lot of talk about this area whether it’s from a compliance perspective or an ethics perspective or just a customer, an end-user experience perspective. Being able to tell what models are doing and how they’re deriving their predictions has value on multiple different levels. Without getting super into the technical side of this, we’re going to talk about how explainability within machine learning and predictive models has relevance to the design and user experience of your software application. Here’s my chat with Andrey. Hey, everyone. Welcome back to Experiencing Data. This is Brian and I’m happy to have Dr. Andrey Sharapov from Lidl. Did I say that right? Lidl, obviously, not obviously, maybe to our American listeners, people that don’t live in Europe. But is it Lee-del or Lie-del, the grocery store chain in Europe? Andrey: It’s Lee-del. Hi, everyone! Brian: Welcome to the show, Andrey. You’re a senior data scientist at Lidl. Tell us about your background. What are you doing with grocery data? Andrey: Hi, Brian. Thanks for having me on the podcast. As you said, Lidl is one of the largest retailers in Europe. We have more than 10,000 stores. We obviously have quite a lot of data that we’re trying to put to work at the moment while building this data products. For instance, we try to create decision support tools in order to help our action planners or promotion planners to make better decisions. On the other side, we’re automating various processes like for instance order disposition which means ordering of goods automatically for all the stores. We have a lot of other use cases related to marketing and everything that has to do with business as Lidl more or less. Brian: I’m excited to talk to you about [a]particular area of interest that you have which is explainable AI. But before we get into that, I’m curious, it sounds like [you’ve touched several different aspects of the business that Lidl with some ]of the data products that you’re creating. What’s hard about getting that right? Not so much from the technical standpoint, and the engineering, and the data science piece, but in terms of someone’s doing the purchasing of the carrots and someone’s doing the planning of the promotions, tell us about that experience and how you go about getting those people the information they need such that they’re willing to use your analytics and your decision support tools to actually make decisions. Can you to talk to us a little bit about that? Andrey: Yeah, sure. As you’ve pointed out correctly, these days, it’s not really much about technology or data crunching but more about weaving together the relationship between data scientists and the business in order to get a buy-in from the actual users. Let me maybe just say a little bit about how we work on our first data product, the one that I created along with the team. We went through a lot of struggles, trying to figure out [what data scientists do or do any data engineers,],and then at some point, we’ve got product owners on the team, the people who actually talk to the business in the language that the business understands. We also got businesspeople onboard as advisors for the project. The product that we built is called a planning tool, so to say. Every week, the operational people plan a promotion for certain date in the future. They have to pick a certain number of decisions, take into account conditions of the market weather, time of the season, and a lot of other things, then come up with the number to order. The sole purpose of the tool that we built was to make their work more efficient in a sense that they could, not only produce better results in terms of accuracy, but they could also learn about the market themselves because we created a certain clause for[ instance instant]elasticity curves and they could play with the price and see, if they make the price too high or too low, how much the order and quantity would change. That’s the main idea behind the product. I guess most companies have the same problem of trying to onboard the business users. The main sort of idea or the main way of thinking, “Okay, we have AI in that.” They will search in the user, they’re like, “Okay, let’s just do it.” But most likely, it’s not that easy. We went through this experience of learning that, “Okay. Although we have the coolest algorithms in our system and from coolest people working for us as data scientists and engineers, [totally doesn’t that the final user ]??will use the product.” The way that we try to convince them was by building fancy user interface in terms of making it more beautiful, so to say, but nonetheless, they were not very convinced. As far as I know, the operational people are really hard to convince because maybe the majority of operational people try to use such tools in order to execute certain tasks very fast. They don’t have a lot of time to try to learn what’s going on but rather, they would like to do a few clicks and the job is done and they move to something else. In our case, since it was a lot of machine learning, a lot of predictions, there was this problem of trusting the system because although they could use it in this way that I just described—that they could just do some clicking and then complete the task within, I don’t know, 15 minutes maybe. But nonetheless they were hesitant to use it because there was this lack of trust to the system. They would question why the prediction is maybe a little bit higher than they expect or a little lower, and there was no way to explain it to them. You basically say, “Okay, it’s an algorithm.” This aspect was, I guess, quite crucial because in their mind they also have a certain number of rules that they follow when they do the planning. This is basically kind of an invite for the next question so to say about explainable AI that we try to show the end-users various types of explanations later in order to gain more trust from their side. I guess, as I said at the beginning, this phrase that if we have AI in the data product then they will use it, “Let’s just build it.” Well, in the end we’ve learned that it’s of course not the case. People first were very skeptical but later we’ve tried to really work hand-in-hand with them trying to polish this single feature that they had in their mind. In this way, we’ve brought in more people who’ve tried the product. Brian: You hit the nail in the head there with these technologies. Whatever is new, as we talk right now, AI is definitely high on the hype cycle, it’s not magic sauce. You don’t just stick it into the cake and then all of a sudden everything is solved. You still need to map these technologies to fit the tool into the way the customer wants to use it. In this case, the way the tool does your modeling, is it based on how, for example like a purchaser, all the factors that they were using whether it was of a calculator or some kind of a manual process in Excel, I imagine that they have some kind of a recipe that they would follow to do this prior to you doing any type of AI or machine learning to help with that decision support. Is that how you help get adoption to be higher? Is it modeled on that or were you looking at other data? I’m curious especially around like if there’s experience or maybe—I don’t know if you’d call it biased—but there might be decision points that a human would be using in the traditional or the old way that they use to do those tasks that you can’t maybe perhaps integrate into the model. Does that make them not trust it as much even if maybe you’re actually factoring in more variables that they never use to like, “Oh, well, you never had weather when you forecasted crop and prices to figure out how much to purchase or whatever. You never had that. We actually provide that, but we don’t have last month’s purchase,” so you don’t know what the price was last month. That’s a bad example but are you following what I’m saying? Can you talk a little bit to that terms of adoption? Andrey: Before we even started, people were able to plan different promotions for the last, I don’t know how many years, and the main tool that they used was Excel. People with a great number of years of experience, they put together all these datasets for themselves and they’ve developed a certain tactic for how to approach the planning. Don’t forget, Lidl is operating in about 30 countries and each country has its own secret sauce on how to do the planning. As I said at the beginning, we had one person from one of the countries; one real planner who showed us how she does it for real, what factors they consider, which logic, and from then we tried to mimic the whole thing using machine learning algorithms. Of course, machine learning can take into account a lot more different factors than human planners. But nonetheless, the results that we got were of course slightly different because with human planners—I mean, it’s impossible to get the same number for a human and machine learning algorithm. They will always kind of say that, “Okay, why is it lower than I expect? I need to understand why.” The only answer we had at the time was, “Because the model said so.” That’s certainly not enough for them. Just recently, we’ve developed quite a good relationship with Polish planners. They have similar concerns, so they tried the tool, they like to tool, but again, for them it’s somewhat hard to start trusting the system immediately. They try to plan some promotions and it was fine for them but for some of them, they got unexpected results. You hit the wall; they start asking you all sorts of contrast-effects explanations. “What if it was different then what would have happened?” Without explainable AI or any kind of explanation of machine learning, you just cannot go forward with them. This is how I would put it. Brian: I do want to get into the explainable AI piece. I’m curious though, you mentioned Lidl [is]in 30 countries. For example, the purchasing department here, are there really 30 different recipes that are valid and/or there are cultural distinctions in the way stock is purchased for stores in Germany versus Poland or is it that just these Heuristic models for doing these were kind of organically-borne in different ways in each place ? Are you guys trying to centralize that or are you creating unique models? Are you trying to map it on like, “In order to get the Polish buyer to trust us, we need to show that our model is based on the way they were doing it even if it’s a different model than we use in Germany or Italy.” Can you talk a little bit about how you make those decisions and how you keep that trust that people are still going to use these decision support tools? Andrey: As I said at the beginning, each country has a small feature when they do the planning of promotions. Lidl is currently developing various tools in order to standardize this process, but it is an ongoing thing. Like with any person, be it the promotion planner, or a bank teller, or whatever, people tend to oppose changes; they just don’t buy these many cases. It takes quite a lot of time in order to convince them that, “Okay, this is the right way to do things. We’re suggesting [you a new way ]??that is not really new, it’s just kind of more generic,” so to say. Nonetheless, they [would..] say that, “Okay. We have this one data point that must be everywhere otherwise we just don’t take it.” It’s really a matter of time, matter of interaction with the client trying to convince them that if it’s so important then we can build it into the tool, then they will go along, and they will buy it. Or on the other hand, try to convince them that that is not important then maybe they, at some point, they will get convinced. These are all the different types of things that you have to discuss with the customer one-on-one. We actually do a lot of traveling these days, going to Bulgaria, going to Poland, Hungary. Every country, we try to talk to these people directly. Try to get the requirements directly from them and then show again the results back to them and say, “Okay, we did it for you specifically so let’s work together.” Brian: I think that it’s great that you’re going out and doing that one-on-one research with your customers because that’s another way to just build support is when they feel they’re being included in the process and you’re not imposing a tool, but you’re actually modeling the tool based on them that’s another way to increase engagement. I’m curious, do you find that the unique countries, the managers, whoever ultimately makes the decision on what tools or what model is going to be used to make the final decisions, are they interested in like, “Oh, look. Italy factors in the weather. They factor in this thing that we never thought to do. We never really gave it that much weight. Maybe we should do it that way?” [Is it 30 independent recipes and then you guys have been generalizing that based on the variables that you find have the most impact on the quality of the predictions? ]??Is that shared and the countries are aware of what each other are doing or is it more like, “Yeah, yeah. That’s nice but Poland is different. We want to do it this way and we know it’s right.” Andrey: It depends. Sometimes there are certain legal things that we have to take into account that are not quite transferable across different countries, so these things, we just cannot take them into account because then the tool becomes too specific for each country. But on the other side of things that we are able to generalize we just do it simply by trying to get more data from countries or blind gate or something like that. Brian: Talk to me about how explainable AI, this technology, [is]for people that don’t know what this is. Effectively, what we’re talking about when you’re doing things like showing a prediction from a model, it’s actually showing what some of the criteria were and perhaps how they were outweighed and how they had an impact on the conclusion that was derived by the system. Is that a fair summary of what explainable AI is? Why don’t you tell us instead of me trying to do it since this is a space that you’re interested in. Andrey: Absolutely. The area that use, kind of a research area of explainable AI, it’s all about trying to understand the reasoning of a black box model. This is not a new idea. It was quite popular back in the ‘90s but then was somehow forgotten and it resurfaced back in 2016, 2017 when [?? I think it’s a name of a company??].] announced a lot of funding for this area of explainable AI. What it actually does is for instance, let’s say you have a data scientist working on a sophisticated model, whether that be a neural network or anything else, and then it produces a prediction which is just a single number or it’s a binary decision, yes or no. In many cases, these black box models are really hard to explain to a non-expert. Even data scientist, in many cases, don’t know why it predicted yes versus no. There is no clear explanation or human-readable explanation that can be delivered in this case. Unless, the whole area of research of explainable AI is trying to, first of all, come up with the whole philosophy of what an explanation really is and this is not a done deal I would say. People are still trying to understand what it really means. The second part is, “Okay, how do we generate something that a human being can understand?” Whether it be, I don’t know, some factors, “Okay, for this prediction, Factor A played the biggest role and then Factor B played somewhat a lesser role,” and so on and so on. Or even generate a sequence of rules, if [??.] rules such that, “Air temperature is higher than 30 degrees, it’s the middle of the day, then the prediction for the sales of ice cream would be high.” What I’m trying to say here is that we use this technique in order to interact with our customers. For instance, when you go and talk to an operational person, a person who works in operations, who has in mind a certain number of basic rules; three, five, six rules when doing a planning. And then when you come to him with a machine learning model, something that is say, a black box, and then you tell him, “Okay. Just trust my prediction.” In most of the cases, it just simply doesn’t work. They just don’t trust it. But the moment when you come with an explanation for every single prediction your model does, you are increasing your chances of a mutual conversation between this responsible person and the model in this case. For instance, if the model predicts sales one, two, three, four, five for the May-June and then it says, “Why is it one, two, three, four, five?” And then you say, “Okay. It’s because if regular sales in June are greater than two, three, four. It’s May or June and something else, something else.” And then this person can relate these statements to something that he has in mind when doing plenty himself. This is where this kind of the eureka happens so to say because they see that the model is reasoning in a similar way as they do it. This way, the level of trust certainly goes up and then they’re willing to try it even more. I’m aware of similar stories. For instance, Yandex has been in the business of building similar tools for their customers and they also have explanation modules. It’s not a kind of a one-shot thing that we do at Lidl but it’s gaining quite a lot of momentum, I guess. Brian: I think that’s natural that trust and engagement is likely to go up if you have this in place because as you said, people can see that the tool is modeled on the work and the tasks that they want to do, and it’s not imposing a magic answer. It’s kind of like saying, “Hey, none of you here are experienced for the last 10 years of running promotions at Lidl matters anymore. Here’s what you should do. Here’s the product. Here’s the sale price and how long you should run it for.” I think it’s just human nature, there’s a natural tendency to not want to trust that, “Well, my whole job and these activities I do are completely replaceable by a magic box.” But when people start to see how it’s actually a decision support, I think it’s natural that the trust goes up. Although having said, I’m curious, you’re using some of these, would you say this is a regular ingredient in the products that you bake-up at Lidl? The data products that you guys are working on these tools[ or this is or is this an ]occasional thing? Why or why not would it be included on everything if it’s possible? Andrey: Well, there are different cases. Certainly, explainable AI is not something that you should or must use on every situation but I’m a great believer in decision support tools and human in the loop applications. That’s not necessarily in retail but in general. Every time where people have to look at certain predictions, we try to come up with explanations or at least some sort of a strategy for, “How can we come up with these explanations?” On the other side, these techniques are very useful when you do debugging of machine learning models. Even if you are not planning to show these explanations to anybody in the business, you are still benefiting quite a lot when you’re actually developing a machine learning model by using these tools, sort of just to fill in a few words. If you can avoid all sorts of overfitting in the model or removing plenty of features that actually make a model unstable and so on. I think the main point here is that in order to build things, models, what we don’t really understand a lot of what is really going on inside when they make predictions. It would be really sad, that’s the main idea. Brian: I haven’t thought of it that way, but I could see how, even as a debug, it could be useful as you’re trying to improve the quality of the decision; the advice that the tool is generating. I don’t know if you have data or even if it’s just qualitative in nature, but having included this on any of the products that are at Lidl, do you find people trust, like once they’ve seen that the model has some explainability behind the predictions that are being made, do they tend to still pay attention to all of that going forward or is it more like, “Oh, I can see that Andrey and his team factored in last month’s purchase data plus your competitor data and that’s what I always do. Now that I know that he always does that, I don’t really need to see that every time. I’m not going to second guess as much as I used to. I’m going to trust that now going forward.” Or do you find that the explainable AI, that portion of the UI, is actually an integral part of using the tool every time? Are you following what I’m saying? Do you start to ignore that over time or do customers see that as an ongoing, useful aspect of the interface? Andrey: We don’t have the explainability to build in into the user interface at the moment. We have it as more of a PoC, we show it on the month more or less but we don’t have it as a default feature. Certainly, this should be working in a way that you described. I actually have read a few papers recently about the effect of explainability. People were tested through, I don’t remember exactly the test set-up, but the point that the researchers were making was that the accuracy of predictions within this realm of human in the loop applications does not go up. Whenever people are using machine learning model that makes a prediction yes versus no, it—altogether the performance of this blend of human and machine—does not go higher but [well-significantly ]??that they could prove it. But the trust into the system can beat those by 20% higher than without any explanation. I guess what you said is exactly the point of building in explainable AI into any tool to make it transparent and then at some point, people trusted them, they don’t really have to check these explanations every single time because they know, “Okay, we are on the same page; machine and me.” Unless, they’re trying to explore some unusual situation where they really want to test the system or learn something from that, because well, this is also a possibility for a human in the loop application when humans actually learn something new from the system. I think this another case when they would use it occasionally after that. Brian: Without getting too technical here, obviously, Experiencing Data, this podcast, is more about customer experience with data products and that type of thing, but I’m curious there maybe listeners wondering, “Hey, I have this decision support tool or this analytics deployment that’s starting to use some machine learning, it doesn’t have any type of explainability. We are seeing the same symptoms you talked about like, low engagement, people don’t trust it, we put a significant data science investment in place, is it easy to retrofit in a technology investment you may have made to include some of this such that you might be able to start to improve the trust factor or is this something that really needs to be implemented from the start and it’s much more difficult to put in after the fact? Andrey: It all depends on the system itself right now. How many models you have there? What is the complexity of the whole thing? Technically speaking, there are already a number of libraries available for doing these things. Everything is open sourced. You can just Google for words like Lime or Shep or Anchore or contact me on LinkedIn for instance. I could point you out at various sources, but the point of explainable AI is that these tools are sort of model agnostic in a sense that they just need a prediction and they need just a model, and the predictions that model produces, and that’s pretty much all. Then you can write a few lines of Python and then it’s there. You can get your explanations. The short answer is you don’t have to invest too much into getting explanations if you already have a working system. Brian: Wow. That’s kind of a little bit mind-boggling. If you hear in terms of, “Why isn’t this being used more? Is there a perception that it’s costly, or it’s more difficult than it is, or is the quality not there, or do you think the business and the leaders and the people doing this don’t think it’s necessary?” It fascinates me if it’s that simple and of the quality, if this is such an easy way to build trust, why is this not happening more? Did something happen in the night between the ‘90s and now that this kind of fell out of trend? Can you talk to that a little bit? Andrey: In my personal opinion, I think over the recent 10 years, data scientist put too much attention into getting high model performance in terms of accuracy or lower error. This whole trend of toggle competitions where you try to build super accurate model and say the opponent who gets the first price is probably hundredth of a percent more precise than you, but the main question is, “Does it actually make sense? Is it what business really wants?” In my opinion is, it’s not the case. Yeah. For scientific breakthrough, maybe yes, it is useful. But certainly, in order to gain trust, you cannot just build more and more sophisticated high-precision model. It just leads you nowhere. The other thing is that over the last four or five years, the deep learning hype took place and a lot of attention was in the deep learning area where people were all in doing neural networks and nobody really cared about explainability. It’s more of, “Okay, let’s just predict this to 99.9% of accuracy.” At some point, some executives realized, “Okay, we have a lot of these models and we have no idea what is really going on inside. As I mentioned, the DAPPER program and also GDPR regulation that came to light in May 2018, put the spotlight on the right to explainability, the right to explanations, all of these factors together propelled the explainable AI topic forward and it’s now gaining a lot more attention than before. Brian: In terms of when you get into neural nets and some of those technologies, is this technology available to products that are leveraging neural networks and some of this more complicated artificial intelligence technologies? Is it widely available to add the explainability portion? Andrey: Well, it depends on what kind of data you’re working with. If you’re working with this regular table or data, the data that is in tables, no text, no images, then it doesn’t really matter. You can take in neural net or any other model but once you go into more sophisticated realm of neural nets working with text data, then it is slightly more complicated to get it to work but it’s still possible. They could just use lime or shep. It’s very interesting what they do actually. For instance, if you try to say classify legal documents or medical documents or say fake news classifications and write yes versus no, then these explainability tools can highlight the actual words in the sentence that play the most role in terms of, “Okay, if it’s fake news, then it will underline certain words,” that a human being can get them on and say, “Okay, this content is maybe more full of feelings or calling for more action,” or something like that versus a prediction for no fake, and it’s mostly facts, facts, facts. Basically, the explainability tools, they highlight words in a sentence. In terms of images, even more complicated. There are a lot of things that are model agnostic but even more things that are not. In this case, you really have to be an expert in whatever neural net and try to get it to work. Just get a code from GitHub and try to reproduce the results of a research paper. For these more complicated cases, it’s not that easy but it’s possible. Brian: You brought up something too. I’ve heard this trend repeated too that there can be a tendency in the data science community to want to do excellent data science work and not necessarily do excellent business work—building tools and solutions that help the business. I could see how maybe some data scientists may see that’s not going to improve the model adding the explainability. “I can’t write a paper on that and build my credentials with that type of information,” so maybe that’s responsible for why it’s not as widely in use. Do you think that’s going to change? Do you think this will become more of an expectation going forward that, we won’t be talking about black boxes as much in a year from now or two years from now, do you think that’ll start to go away and expectations will change? Any thoughts on that? Andrey: The whole trend is going into the direction of explainable AI anyway for one simple reason. In the last years, AI was mostly used in the labs and probably to automate certain processes where no humans are really involved. It’s more like robotics or something like that. But these days, AI is going into various fields like healthcare, or legal domains where you deal with things that affect humans directly. For instance, how would you explain why a certain person didn’t get a low at the bank and the other one who looks very much similar got it, right. There are a lot of questions that are coming up these days because AI is touching upon some points where humans are personally involved. Because yeah, we don’t really care how some robots are moving goods at Alibaba warehouse. I mean, doing an explainability for that, yeah, maybe it’s a really sophisticated model but I don’t care. I get my goods; I order them and that’s it. But whenever things go into the direction of some social interaction or things that affect people directly, or say these high-stake decisions, then interpretability and explainability is a must. I think many people would probably choose a model that is maybe not as exact and accurate but explainable versus something that is extremely accurate but okay, sometimes it can kill you. This is kind of my logic here. Brian: That’s kind of the dividing line between the business and the human side of it. The pure data science side is that you might have a super accurate model but if you find out that they’re still buying carrots the old way, does it really matter that you have an excellent prediction on how many carrots to buy or at what price if they don’t ever take advantage of that. All of that investment is kind of thrown out the door. From a business standpoint, an acceptable model quality with a highly trusted interface and user experience might be the better business decision even if it’s not the best model quality from that perspective. I think that’s important stuff to consider in all of this as we build these tools. This is awesome. It’s actually exciting from a design perspective to hear that this is available as kind of a tool that we can implement. Obviously, context matter,and you have to look at particular domains and particular types of data and all of that but it sounds like something that—as part of our tool box—it’s something that we should be leveraging regularly when possible especially if we’re talking about human in the loop tools and decision support tools as opposed to as you said, the Alibaba robots… Andrey: Yeah. That’s [ I didn’t hear a word here]. Brian: …get my book or my shoes or whatever I ordered. Just on this topic here as we wrap up here, any broad level advice for people that are kind of looking to jump into this on making efficient data products? It doesn’t have to be just products explainable AI but just from you experience at Lidl. Maybe a mistake that you’ve realized, and you changed, and how you’re approaching your projects and building these tools. Any advice for people? Andrey: I guess the only advice I would give to anyone who wants to build a product that is used is to go to the people and ask for the actual requirements; try to involve the end-user at the earliest stage possible. I think this is the only way to succeed in the end. This is how startup fail or succeed. You have to really understand what you’re doing. At Lidl, we’ve kind of cleared the way from zero to hero over the last two years and we learned it the hard way. The more you interact, I mean it doesn’t really matter to the people because data product is a piece of software that has machine learning inside of it or algorithms in the end. Nobody really cares about how sophisticated these algorithms are. People just want to make sure that they can get the job done efficiently or have a nice experience, no bugs, and stuff like that. This is [all the same stories that was probably 10 years ago this is all the same story as 10 years ago probably]when we didn’t build any data products,[ that build]?? just regular software but again the main advice is just don’t try to build or create this ‘moon-shotty’ product within a few months and try to reiterate and try to onboard your users as early as possible. This is the main advice that I could give. Of course, use explainable AI in order to convince and gain trust. This is a must in my view. I mean, of course in the cases where someone is doing something, and no one can see him. If it’s an interactive tool, interacting with users, they have to be sure that it is doing the right thing. Brian: Great advice. People that have been on my designing products mailing list and the Experiencing Data podcast have definitely heard this advice beaten into the ground many times about getting out there and talking to people early in the process to inform what you’re doing and not working in isolation because that’s almost a sure way to produce something that people aren’t going to use because it’s full of your own bias about how things should be done, and it’s not informed by what customer wants to do. Good words, good parting advice. Where can people find out more about you? Are you on Twitter? Do you have a website, LinkedIn, anything like that? Andrey: Well, I’m posting quite a lot on LinkedIn. I have a group dedicated to explainable AI; it’s called Explainable AI-XAI. Everyone who’s interested or learning more, feel free to join or contact me through LinkedIn. I don’t tweet much on Twitter. My presence is mostly on LinkedIn at the moment. Brian: Great. I’ll definitely put those links to your profile and to the Explainable AI group on LinkedIn on the show notes. This has been really great, Andrey. It’s been great to talk to you. Thanks for coming on in Experiencing Data. Andrey: Thank you, Brian. Thanks for inviting me. 

Experiencing Data with Brian O'Neill
011 – Gadi Oren (VP Product, LogicMonitor) on analytics for monitoring applications and looking at declarative analytics as “opinions”

Experiencing Data with Brian O'Neill

Play Episode Listen Later Apr 23, 2019 46:22


My guest today is Gadi Oren, the VP of Product for LogicMonitor. Gadi is responsible for the company’s strategic vision and product initiatives. Previously, Gadi was the CEO and Co-Founder of ITculate, where he was responsible for developing world-class technology and product that created contextual monitoring by discovering and leveraging application topology. Gadi previously served as the CTO and Co-founder of Cloudscope and he has a management degree from Sloan MIT. Today we are going to talk with Gadi about analytics in the context of monitoring applications. This was a fun chat as Gadi and I have both worked on several applications in this space, and it was great to hear how Gadi is habitually integrating customers into his product development process. You’re also going to hear Gadi’s interesting way of framing declarative analytics as casting “opinions,” which I thought was really interesting from a UX standpoint. We also discussed: How to define what is “normal” for an environment being monitored and when to be concerned about variations. Gadi’s KPI for his team regarding customer interaction and why it is important. What kind of data is needed for effective prototypes How to approach design/prototyping for new vs. existing products Mistakes that product owners make falling in love with early prototypes Interpreting common customer signals that may identify a latent problem needing to be solved in the application Resources and Links: LogicMonitor Twitter: @gadioren LinkedIn: Gadi Oren Quotes from Today’s Episode “The barrier of replacing software goes down. Bad software will go out and better software will come in. If it’s easier to use, you will actually win in the marketplace because of that. It’s not a secondary aspect.” – Gadi Oren “…ultimately, [not talking to customers] is going to take you away from understanding what’s going on and you’ll be operating on interpolating from information you know instead of listening to the customer.” – Gadi Oren “Providing the data or the evidence for the conclusion is a way not to black box everything. You’re providing the human with the relevant analysis and evidence that went into the conclusion and hope if that was modeled on their behavior, then you’re modeling the system around what they would have done. You’re basically just replacing human work with computer work.” — Brian O’Neill “What I found in my career and experience with clients is that sometimes if they can’t get it perfect, they’re worried about doing anything at all. I like this idea of [software analytics] casting an opinion.” — Brian O’Neill “LogicMonitor’s mission is to provide a monitoring solution that just works, that’s simple enough to just go in, install it quickly, and get coverage on everything you need so that you as a company can focus on what you really care about, which is your business.” — Gadi Oren Episode Transcript Brian: Alright, welcome back to Experiencing Data. I’m excited to have Gadi Oren on the line from LogicMonitor. How is it going Gadi? Gadi: It’s going great. Thank you for having me. Brian: Yeah. I’m happy to have you on the show to talk about not just monitoring, but you’ve done a lot of work on SaaS, analytics products in the monitoring space, software for IT departments in particular. Can you tell us a little bit about your background and what you’re doing at LogicMonitor these days? Gadi: Too many years in different industries, I actually spent multiple industries starting from medical imaging. Let’s say in the recent 18 years mostly, some sort of monitoring solutions. I dabbled also a little bit with marketing data analytics. That was not a successful company but I might draw some examples from there. Right now, I’ve recently joined LogicMonitor for an acquisition. I was the founder and CEO of a company called ITculate here in Boston. That company was acquired in April by LogicMonitor and I’m now the VP of Product Management. What LogicMonitor is doing is solving a fairly old problem that still remains, which is monitoring is really difficult. Many companies, as they go, they reach the point where they realize how important it is for them to monitor what’s going on in order to be successful. Then they realize that it’s such a complex domain that they need to develop expertise. It’s just all around difficult. LogicMonitor’s mission is to provide a monitoring solution that just works, that’s simple enough to just go in, install it quickly, and get coverage on everything you need, so that you as a company can focus on what you really care about, which is your business. Brian: Obviously that’s a hard problem to solve and I’m curious for people that are listening to the show. I imagine a lot what this product is doing is looking for exceptions, looking for things that are out of bounds from what some assemblance of normal is, and then providing that insight back to the customer. Is that a fair evaluation? Gadi: It’s a fair evaluation. There is obviously the question of what is normal, but in general, providing that there’s many ways to define what normal is, then the answer is yes. It’s the ability to give you visibility into what’s going on, first of all, to just see that things work in general and work okay, and then when something goes out of what you define normal, to notify you on that and help you with getting things better. Brian: From your experience in this space, since in a lot of companies that are doing analytics, it may be difficult to define the boundaries of what normal is, such that you could do something like, “Oh, we’ve detected an abnormal trend in sales.” I can’t think of something off the top of my head but I like the idea that the focus of the product is on declaring a conclusion or driving an insight that’s probably derived from analytics that are happening in the background. I would put that in the camp of declarative analytics as opposed to exploratory where it’s like, “Here’s all these data. Now you go and find out some interesting signal in it.” Most customers and users don’t want the latter, they want the tool to go do that job. Do you have any suggestions for how companies that maybe aren’t quite in a domain where it’s black and white, like a binary thing, like this core is either connected or not—if it’s not connected, that’s bad and if it is, it’s good—is there a way, a kind of approach putting guard rails on things or what normalcy is? Do you follow what I’m saying? How do you move into that declarative space? Gadi: The answer is obviously, it depends. The problem is so difficult that you are even having a hard time defining the question. It is very, very difficult. By the way, you called it declarative, I like that. I actually call it in a different way that usually creates a lively discussion. I call it opinionated. Opinionated system. The reason is there’s some evolution, especially with regards to monitoring. But I think it’s the same for other type of systems that are analytic-based. Ten, fifteen years ago, it was so difficult to just gather all the data, that being non-opinionated or nondeclarative for your definition, was pretty good, because people just needed the data and they bought the context themselves. But there’s been a lot of changes since that time. First is the availability of computing. But the other is also the need is much greater now for giving the opinion, giving the bottom line. The system needs to be opinionated and then it can be a variety of things. It’s really multiple types of algorithms that can be used here. A small set of that is what people define today as machine learning and AI. But actually the domain is much larger than just AI. It’s the ability to look at multiple signals and develop in a certain degree of confidence, a conclusion that is derived from those multiple signals. To put it in the most generic way that I can, some of them can be discreet or binary, and some of them can be continuous. How do you look at all that stuff and say, “I think that this is what’s going on”? And even more than that, here is what we think is going on, here’s what you can do about it, or here are a few options for you to act on it. That is the ideal solution that we would like to have. Obviously, we have very, very little of that right now. I think it’s a journey that will take us years to get. Brian: I love that idea of opinionated because I think it softens the expectation around the technology and it also reminds people that it’s never different than when your plumber comes to house and you’re like, “Well, the shower hot water isn’t quite as hot as the sink water.” Maybe he tighten some things, he turns on some faucets, and he gives you an opinion about what might be wrong without actually tearing apart the whole system. We would tend to trust that. He might say, “Well, what I really need to do is X.” Then you make a decision whether you want to pay for that or not. But it’s not like, “If you can’t give me a 100% decision, then I’m unsatisfied.” We accept that opinion. What I found in my career and experience with clients is that sometimes if they can’t get it perfect, they’re worried about doing anything at all. I like this idea of casting an opinion. On that thought then, especially for example, you’re putting a data model in place or something like this is which is going to learn from the information, there may be insights gleaned from some type of computer-based analysis which may be unseen or unexpected by the business. That could be positive or negative. But there also might be some context of what normal or expected is from the end-users. For example, I expect the range to be between 32 and 41 most of the time. I know sometimes it goes up and I have this feeling about X, Y and Z. They have something in their head, you go and do all these technology and it says, “Well, the normal range should be 14 and so we flag the 16 here,” and he’s like, “I don’t care about that. It’s not high enough for me to care.” How do you balance that sense that maybe an end-user has, like, “I track sales,” or, “I’m doing forecasting,” and they have all these experience in their head? Gadi: A couple of things. It depends a little bit about the domain. In some situations where the end result is what’s really important, you can use black box-y type of things like newer networks or things like that, not always but most cases, they tend to be more like black box. It’s like, “Here’s the result. I can tell you why that happen. It’s based on all these training I did before.” In some situations, the result cannot be a black box. It needs to be explained. In those situations, you really need to give people an explanation on why things happen like they are. Monitoring, in many cases, tends to be the latter which is, I want to see the signal and the signal core strength on what was the shape and I want to see how it looked yesterday. If it looks the same, maybe it’s okay. In certain situations, maybe if you have a database and it has a latency of half millisecond which is very small, and then this morning it moved to one millisecond, is that normal? It’s not normal but I don’t care about it because before it gets to five milliseconds, I don’t need to know about it. In those situations, I don’t know if that’s what you refer to by cobwebs or things like that. While the system is learning and can automatically detect what’s abnormal, there is a range to what I care about. I’m going to put a threshold and say, “Only if you cause five millisecond and this is not normal behavior, then I want to see an alert.” Normal could be defined like the signal is two sigmas away from the same day last week. Something like that. There is a different level of approaches, both in terms of how consistent the data processing is and in what type of knobs you should provide to the user in order for the user to develop the right confidence level to use that solution. Brian: I would agree with that. I think there’s a balance there. Actually when we talk about our screening call, you made a comment. It was a good quote. It was something like, “The cutting edge UI is English,” if I recall. Gadi: Or any other language, yes. Brian: Exactly, whatever your interface is. But I would agree with that sentiment that I think the customers and from user experience standpoint, deriving that conclusion first or opinion as you said, then backing out from there, and providing the data or the evidence for the conclusion is a way not to black box everything. You’re providing the human with the relevant analysis and evidence that went into the conclusion and hope if that was modeled on their behavior, then you’re modeling the system around what they would have done. You’re basically just replacing human work with computer work. What I found over time was, some of these systems, with just watching customers, is they’re very curious about the beginning and if you can build that trust, they start to understand how to trust your opinions. They tend to not hold you responsible as much if an opinion is wrong because they know what went into the math and to the analytics and also what didn’t go into it, steps that they can fill the holes in themselves. Of course, this means you have to know your customer, you need to have some kind of interaction with them. Can you tell me about some of your customer interactions? You’d mention one of your KPIs for your team. Tell us about one of your KPIs for your team. Gadi: Over the years, obviously, you develop professionally and you change the way you approach to do what you do. I’ve been doing different ways of product management. I was a CTO at some point. But my basic attitude is doing product management and building the product from that understanding of what it is we want to build. What I’ve realized over the years is that there is a couple of really important points. One is the more you talk to customers, the more you understand the problem you’re trying to work on. A couple of years into working on a certain problem, you get to a point where you’re so familiar with it that you can pretty much, without talking to customers, generate a lot of really good product for some time. The problem is that this might diverge at some point or you’re going to miss something important. I think that talking to customers all the time is what grounds you to what’s going on. I’ve made my team of about 10 people. We are monitoring how many times they have interaction with customers. I’m going to chart it monthly. I started recently as one of the KPIs and I’m going to just check if certain part of the team is talking less to customers, then why is that okay or not. And then if you have a spike, some of these stopped talking to customers, then we’re going to have a discussion on why that happened because I think ultimately, it’s going to take you away from understanding what’s going on and you’ll be operating on interpolating from information you know instead of listening to the customer. Brian: Is it safe to say your team is comprised of primarily other product managers on certain portions of the product and then see up some design user experience reporting to you? Gadi: Yes. I have, let’s say, about 10 people. We’re hiring now all the time. The company’s growing very quickly. Let’s say around 10 people. Most of them are product managers and some are design people. We also have a variety of previous experience in the team, which is really something I liked. Some of them are from the industry and they have built-in knowledge. Some were in engineering before, which I think has also an interesting experience. One or two came from being sales engineers or sales, which has a different aspect of benefit to it. I don’t think I have someone that was a customer before, and if you can have that, that’s really advantageous. I might be able to do that at some point. Brian: I think that’s great. Do you involve your engineers or your technical people, data scientists, whatever with any of these interviews that you do and your customer outreach? Gadi: As much a possible, we will look at the multiple sides and a lot of engineers I work with right now are located in China. In terms of language, we might have sometimes barriers, but absolutely when possible, I know that when I transitioned from engineering to product management, the exposure to customers was very educational for me. Whenever I am able to expose people to customers, I take that opportunity. Brian: You have an interesting position. Maybe this is super common, I don’t know, but you’ve started out in a technical capacity, you have an engineering background, you were CTO, and now you’re in product. I’m curious. As someone that’s looking at holistic product both a business and also some kind of experience you need to do, you need to facilitate in order to have a relevant business. Are there biases that you need to keep in check from your technical background where the engineer in you says, “I want to do X,” and you’re like, “No, no, no”? What are some of those things to watch out for to make sure that you’re focused on that customer experience and not how it’s implemented? Gadi: The question of biases is a wide one. It’s not just about engineering. It’s bias in general. At some point, you obviously get excited about what you’re building and you see all the possibilities. “We can do something a little here, we could solve that problem or this problem,” and then you start developing a preference. It’s very natural. When you realize that this is the case, sometimes you try to just not have a bias, but you can’t. Everybody has one. The problem is, how do you make sure that this bias does not impact when you talk to a customer? It’s very easy to have a customer tell you what you want to hear. Probably the easiest person to deceive is you if you don’t pay attention. This is one of those things. With regards to engineering bias, it’s not very different than any other type of bias. Engineers and makers just really care about working on interesting things and new technologies. Sometimes, there’s a problem and I think the more advanced engineers start to think about, “How would I generalize that problem?” It might be a runaway process where they want to build more than required and that more may or may not be pointing at the right direction. That’s another type of bias. Again, definitely something to watch for. Brian: I want to move on to some other topics only because I can totally spend an hour talking about how important it is to do customer research. I love that you’re doing that and I think the theme here is you’ve actually turned that into a KPI for your particular reports and the product management division at your company, which says that it’s important to develop that habit. I would totally champion that. Gadi: It’s not that I would like it to be. I can tell you I would love it to be. Since you’re opening this, I’ll tell you what could be ideal. But it’s a lot to ask for so I’m not implementing that right now. I do check that people interact with customers and they have written down notes. Written down notes should not only be two lines. It should be telling something. Ideally, somebody can transcribe what the meeting was, but that’s almost impossible. I try but it’s very difficult. What I would have loved to do that we don’t do right now because it’s a lot to ask for, I’d love to have people repeat in their heads and in the notes the meeting and try and extract problem statements. In the past I’ve implemented that in some situations and it was successful. But you have to do it in a continuous fashion over a long time and then you see those problem statements. How many references do you have to every problem statement? It’s really giving you a good visibility into what’s going on. Now, asking that is difficult but clear notes is a good start. Brian: Just to tack onto that, it can be very hard to listen attentively and to draft notes. When I’m facilitating research sessions with a client, is you’ll have one person facilitating and one person taking notes, and then you debrief at the end. Sometimes, it does mean it’s a two-on-one instead of a one-on-one. It doesn’t need to be perfect. You can get better at this over time. That’s one way to get a little bit of a higher quality data. You can also just use something like an audio recorder on your phone instead of handwriting the notes. When that meeting’s over, you grab a phone booth or type room and just talk into a phone. Then you can just have the audio converted to text very simply and quickly with a machine. That way, you’ve got a nice dump of what the conclusions were from the sessions. Traditionally in the usability field and the human factors field, they came out of science background, so they would write these very long reports. Typically, what happens is, guess what, nobody reads the reports. So, you have to watch out for that. We’re doing all the stuff but we’re not taking any action on the information there. I like to highlight real concept, however you go about doing that, but that’s great. Can you talk to me a little bit about engagement with these data products? This is probably a little bit truer in companies that are deploying internal analytics, like non-digital native companies, non-product companies, but they’re having trouble with engagement. Customers aren’t using the services. Do you have any broad ideas on how we can increase engagement from your perspective? How do you make the tools more useful, more usable? What do you have to say about that? Gadi: How do you make the tools more useful? I think it’s a somewhat related question to how do you make your products successful to begin with? I’m going to talk about the new concept other than incremental. If you learn something incremental, I’m assuming you have enough data to place your bets successfully. If you learn a fairly new concept, what I would usually recommend is don’t code it. Try new simulations, Exceling, and modeling, whatever it is that you can to build it without building it. Prototype it and then have a few lead users. Those are users that are excited about this domain and they really care about solving that specific issue enough to work with you effectively. You need two, three, or four of those and you just start working with them. As much as possible, use their data. In the data domain, when we’re doing analytics-related product, part of the user experience in the entire cycle. It’s not just, “Oh, the user interface is the biggest expense.” No. It’s how the data is getting into the system, how is it being acquired, how is it being processed, and how is it being used on the other side when it’s producing meaningful insights. You can test a lot of that cycle without a product or with a very light sort of a product, prototype of the product. I recommend that as much as possible. If you’re going the right way, you will know very quickly and if you’re going the wrong way, also you will know quickly and you can either course-correct or eliminate completely the project and save a lot of time and money. That’s usually something that works really well for a new concept. Now, for incremental, it’s slightly different. Usually, you can use a similar type of approach but you can code something that’s kind of a prototype into your product, show capability, and then usually, you would have a lot more customers that are willing to work with you because it’s a small increment. You can validate early. I guess that’s the bottom line here. Experiment, iterate, validate early. Brian: How is it necessary to code? I don’t mean to use the word code, we’re talking about Excel or whatever it may be. It is necessary to get even into that level of technical implementation in order to do a prototype? I love the idea of working with customer data because that removes some of the classic example I’ve experienced like financial products where I was working on a trading system portfolio management. You’d have a bunch of stock positions in a table and you’re trying to test the design of the table. You have funny prices for, “Why is Apple stock trading at $12? Oh my God, what is going on?” That has nothing to do with the study but you’ve now taken the user out of the— Gadi: You will not get a meaningful […]. Brian: I love that but do you need to necessarily get into modeling and all this kind of stuff if, for example, the goal is to see, would that downstream user take action or not, based on what they’re seeing in the tool if you’re using a paper prototype or something like that? What would you do if it says it’s predicted to between 41 and 44, what would you do next? And you happen to know that that’s a sensitive range. Do you even need to have actual Excel or math happening behind the scenes? Gadi: I can see where this question is coming from. Nine-tenths is just putting a […] and mock-up might really give people a good feeling about where you’re going with this. But I do think that in many cases, not working with real data and even customer data—customer data is not a must—is not going to give you the right answer. I’ll explain when this can happen. There is the case that you mentioned, which I wasn’t even about to mention it, but it’s too late, is the data that you see doesn’t make sense, you’re emotionally detached. You’re not getting good responses from this person. Now, assuming the data is good and if it’s yours, you’ll even connect it much better to what you see. But certain type of problems, you cannot understand, you cannot get a meaningful answer if the data is not real. I’ll give an example. Right now, we’re facing a very specific situation where LogicMonitor is actually now in the process of redoing the UI and fixing usability. I’m told that this is the fourth time we’re doing it and there is a very specific problem of how to do search. We’ve been going back and forth on how does the search results should really show up because the search results are coming back in multiple levels. There’s data with dependency. Results are coming from multiple levels of dependency and need to show up on the same screen in a way that the user can use it. We’ve got to the conclusion that the problem is hard enough to answer and we need to prototype maybe one, or even two or three types of result presentation and just show it to customers. Obviously, we want to code as minimum as possible to do that, that this is something we’re going to do. We usually do it with just wireframes but in that specific situation, we are not only needing real data but we’re actually coding something very minimal, three times, to get the right answer. Brian: I think the theme here is, whether it’s code or whatever material you’re using, there’s a theme of prototyping. I would add that in the spirit of a minimum viable product or what I would call a minimum valuable product—I like that better—is figuring out what is the minimum amount of design, which could include some technical implementation like a prototype, what’s the minimum amount that you need to put out in front of a customer to learn something? To figure it out if it’s on the right track? That’s really what it’s about. In your case, maybe it does take actually building a light prototype, maybe you don’t actually query 30 data sources, and you just have one database with a bunch of seed data in it. You control the test, but at least it simulates the experience of pulling data from many places or something like that, then you can tweak the UI as you evaluate. Gadi: I think it’s a bit of going specific. I think that, again, in many cases you can do wireframes and you’d be fine. But remember, if you’re trying to test a complete flow, you’re testing a flow which may include 10–15 steps of the user for the user interface, and if you can do that with just wireframes where every step that they did produces result to makes sense, and you don’t have to model it at the background, then that’s fine. It’s probably better. But when we are talking about 10–15 steps, sometimes, the amount of effort that goes into the wireframe is big enough to consider a very light background Excel implementation. When it becomes comparable, if doing wireframe is 80% of doing a very light implementation where the background is Excel, or even 70%, then I’ll say, “Hey, let’s do a little bit more of an effort,” and then our ability to test opens up to a lot of other possibilities that are not rigid within that wireframe. So, something to think about. Brian: I would agree if you can get a higher fidelity prototype like that, with the same amount of effort. Absolutely, you’re going to uncover probably exceptions. You’re going to uncover information and an evaluation with a customer that you didn’t probably asked about. There’s so much stuff going on and there’s so much more information to be gleaned from that. The main thing is not falling in love with it too early and not overinvesting in it, such that you’re not willing to really make any change to it going forward. I find that’s the challenge with especially with data products. I’m sure you’ve experienced, there’s a tremendous amount of investment, sometimes, just to get to the point where there’s a search box and there’s data coming back. At the point, you can fool yourself and say, “Oh, we’re doing design iterations,” but in reality, no one really wants to go back and change the plumbing at that point because it’s so hard just to get to that first thing. I think the goal is to not build too much and be aware of that bias to not want to go back and rework what maybe a difficult, “Oh, it’s just a search box.” It’s like, “Yes.” But if no one can get from A to B, then the entire value of the product is moot and it sounds like, “Oh, it’s just a search box.” There’s a lot of stuff going on with getting them from A to B in the right way in that particular case. Gadi: I totally agree. I’ve seen a lot of managers do that mistake. I bet that I did that mistake once or twice in my career. “This is awesome. It looks great. Package it and let’s ship it.” That is a big mistake because then people are telling you, “No, no, no. This is just a proof of concept.” Managers sometimes cannot understand the difference, so it’s a communication problem, it’s setting expectations, and you’re right. Sometimes, the way to avoid it is just not getting to the […] at all and I agree if you can. Brian: Traditionally, from my work and the domain that you’re in, the traditional enterprise tools is that quite frankly, they can suck. The tolerances for quality was quite low, and I think that’s been changing. It’s a slow growth that the expectation that these tools can be hard to use, they’re supposed to be really complicated, and they’re for the very technical user, that’s changing. The customer and end-user is more aware of design. I’m curious. Do you find that that expectation is going up? And do you find that new technology is making it easier to provide a better experience? Or is that being negated by the fact that, in your particular domain, you’ve got cloud and on-premise? I can see the challenge is going up. Just as well as some of the tools might get better, the challenge might get harder, too. Is it net out? No change? What are your thoughts? Gadi: No. It’s not the opposite vectors that are actually pointing to the same direction, I think. What you’re saying is, I believe, no longer the case. I don’t know. Maybe in some old banks somewhere in Europe where they’re old-fashioned. I still heard that some banks in Germany are based on paper, no computers. That’s why I made this comment. But in my mind, this is long gone. It’s multiple trends of really pointing to the same direction. First of all, people are educated by Apple that you can in fact have a product that’s pleasant to use. Some young people in their 20s and 30s, most of what they’ve seen is really a lot better that what you and I have seen, being slightly older than that. Expectation is to have good products. They’ve seen that hardware and software and combination of those things can be done well. That’s one. The second is that the technology is evolving, especially in my space, there’s been virtualization, then there’s cloud, then there’s containerization, and so many big waves that are changing everything, that you constantly have to refresh your software and the ability. The users inside the enterprises are now replacing stuff much faster. They’re replacing the infrastructure much faster, and then with that, they replace software and adopted much faster. The barrier of replacing software goes down. Bad software will go out and better software will come in. If it’s easier to use, you will actually win in the marketplace because of that. It’s not a secondary. It’s one of the things people care about. They don’t care about the user experience specifically. They care about being able to complete their tasks. They don’t care how that happen. If it was easier to achieve what they need and it left them with a good feeling, it’s a better tool. That derives better usability. Everything is pointing to the same direction because you have to refresh as a vendor. You have to create software faster to adjust to the new waves of technology that’s coming in because that’s part of being competitive. While you’re at it, you have to take care of creating really strong usability because then you will have another advantage in the marketplace. I think those trends are only enforcing the same direction. You have to have great usability. By the way, usability is not limited to user interface. It’s everything. User interface is just a part of it. Brian: I didn’t want to bias my question to you, but I would wholeheartedly agree that the tolerance levels for really difficult software or software that doesn’t really provide the value clearly or quickly, the tolerances for that have gone down quite a bit and I think you’re totally spot on that consumer products have created an expectation that it doesn’t need to be that complicated. A lot of times, there’s a service to language like, “Oh, it’s ugly,” or customers will comment sometimes on the paint and the surface interface because they don’t necessarily have the language to explain why. It actually may be a utility problem or just a value problem. I think the importance here is, as you said, usability is important, but it’s not just about that. Ultimately, it’s about whether value is created. So, if you write a decision support tool, like a declarative decision support tool in your case, it’s probably often about minimal time spent using the tool, maximum signal when I do have to use the tool, and the best case scenario is probably never needing to go into the tool to begin with. That’s actually the highest business value. You can focus all day on UI, maybe it’s a one-sentence text message is really the only interface that’s required and you might deliver a ton of value with just that. Gadi: To add on what you have said, I totally agree. I actually see in the marketplace LogicMonitor is winning deals that are based on ultimately better usability. I can give you an example. A lot of customers that we see, companies are growing and they start monitoring using a few open source tools—there are so many of them—and when you’re small, like, “This is awesome. I’m going to use this open source tool and I have the problem solved.” The company grows and at some point, the open source tool, you realize that you spent so much time maintaining it and so much time on making sure that the tool keeps on working when you add another resource to the network, I think the old expression was, ‘Tool Time versus Value Time,’ or something like that. Brian: Tool Time versus Goal Time. Gadi: Goal Time, exactly. This is much bigger than user interface. This is about the whole experience, which means that in those open source tools, you need to have a team of five people that are chasing all the changes that happen in the organization and you’re never there. You never actually up-to-date with what’s going on. From a very high-level perspective, this thing just doesn’t work. It doesn’t work because of usability. So, we come in and as I’ve stated what we’re trying to do, we’re trying to do something that just works, what’s well and quickly, and you’re able to deploy quickly, automatically discover the changes, and follows what’s going on. People are amazed by that and it’s part of the rationale, depending on the problems that they have. But in many cases, it’s part of what makes them buy our product. At the same time, part of our product had older user interface. I think that the comment that you said before, where you said, “Oh, it’s an ugly UI,” or something, I think there are situations where products that are a bit older might have pieces of user interface that are not as great, but their overall experience is so good that it carries the product forward. I think in organizations that have a choice, they might actually opt for a product that, on a first glance, might look not as great from a UI perspective but overall their experience is good. I’m not saying that this is the situation with LogicMonitor because we actually have pretty good UI as well, but I think that our UI reached a point where it needs to be improved and that’s what we’re doing now. Brian: May I ask a question on that just as we get towards the end here. If you’re able to share, what are the outcomes that you want to get from the new UI? There’s some business or customer impact you’re probably looking for, right? A business justification. Gadi: There is. It’s fairly complicated because it’s also a very expensive process. There are very qualitative things that you start hearing like, “Oh, your user interface looks old,” or people tell you things like, “Your customer X is much easier to do a certain task.” I like that better because it’s a lot more specific and they can explain why and all that. But in many cases, you just get like, “Oh, this other company has a new UI and it’s so much more pretty and cool.” That’s very hard to measure and very hard to act on. We have some of that but more specifically, I think, LogicMonitor’s also moving from the mid markets to more and more enterprise. As that happens, certain things that used to be okay are no longer okay. The amount of data that we’re dealing with on the screen, how we process and present it, when you have a couple of hundreds of items, you can think about a tree or a table. When you have hundreds of thousands, then the entire thinking process is different and you need a complete different method. Doesn’t mean all those changes like trends we’re moving upmarket in terms of size, we expect a lot more data in the user interface. People are telling us that the UI looks a little bit old. We want to refresh also the technology. We can do other things. If you’re doing things that are mostly server-based, then UI tends to be more static. It doesn’t have to be that way but it’s an engineering challenge. But if you’re moving to the more new frameworks like React, Redux or things like that, you can do a lot more dynamic. Every component can take care of itself, its data, its model, and update asynchronously. It opens up the product to do things that are a lot more responsive, like a one-page application, for example. A large part of the light business logic is actually done on the client side rather than on the server side, so it makes a much better user experience. All those multiple causes, multiple trends that lead us to the conclusion that we need to refresh. Brian: Was there a particular business outcome, though? For example, are you having some attrition and you’re looking to stop that? Or do you think this is the way to start facilitating sales, to close more easily with a better UI or anything like that? Or is it mostly qualitative? Gadi: No. Obviously, we try and quantitatively justify stuff, so we look at all the requests from the last two years and how many of them are related to UI and certain things in the UI that are very hard to do today. Yes, we do think that this will encourage sales for certain reasons that we will improve in the UI. I think that over the years, because there are so many people changing things in the product, I think that some of the consistency have dissolved along the way. In most cases, you do things the same way but in other cases, you do it a little bit differently. That is both in concept and the UI. That’s confusing for new users. Old users don’t care. They’ve got used to it but I think there’s some issues of consistency. Back to your question, we do expect that to increase sales. We expect that to increase customer satisfaction. We’re actually improving a lot of the flows that we went through and we realized that simple things are missing in the UI. Those are the gold nuggets that you find on the way. Really simple things that you could add or modify in certain places that would make flows a lot better. And I mean reducing 5–10 clicks in a certain flow. My favorite one is I look at a user, he ends up working on a product, and they have six or seven open tabs. I was like, “Why do you have so many tabs?” and he explains, “It makes total sense.” It shows that you’re missing something in the product. There’s a couple of things that are easy telltales if multiple tabs are open, or you have a sticky note on the side with text, or you have Excel on the side where people copy-paste. All those things are signs to problems with the product. We have a few of those and our product is going to come up the other side much more pleasant for the users and help them achieve things faster. Brian: Great. I wish you good fortune and good luck with that redesign that you guys are going through at LogicMonitor. On that note, where can people find LogicMonitor and where can they find you if they wanted to follow you? Gadi: You can find me on Twitter. The handle is @gadioren. I have a LinkedIn page. You can look me up and find me there. You can get to our website, it’s www.logicmonitor.com and that will get you started in you’re interested with that. Brian: Awesome. Thanks, Gadi. This has been really fun to talk to you and hear about your experience here. Thanks for coming on Experiencing Data. Gadi: Thank you very much for having me.

Experiencing Data with Brian O'Neill
010 – Carl Hoffman (CEO, Basis Technology) on text analytics, NLP, entity resolution, and why exact match search is stupid

Experiencing Data with Brian O'Neill

Play Episode Listen Later Apr 9, 2019 45:04


My guest today is Carl Hoffman, the CEO of Basis Technology, and a specialist in text analytics. Carl founded Basis Technology in 1995, and in 1999, the company shipped its first products for website internationalization, enabling Lycos and Google to become the first search engines capable of cataloging the web in both Asian and European languages. In 2003, the company shipped its first Arabic analyzer and began development of a comprehensive text analytics platform. Today, Basis Technology is recognized as the leading provider of components for information retrieval, entity extraction, and entity resolution in many languages. Carl has been directly involved with the company’s activities in support of U.S. national security missions and works closely with analysts in the U.S. intelligence community. Many of you work all day in the world of analytics: numbers, charts, metrics, data visualization, etc. But, today we’re going to talk about one of the other ingredients in designing good data products: text! As an amateur polyglot myself (I speak decent Portuguese, Spanish, and am attempting to learn Polish), I really enjoyed this discussion with Carl. If you are interested in languages, text analytics, search interfaces, entity resolution, and are curious to learn what any of this has to do with offline events such as the Boston Marathon Bombing, you’re going to enjoy my chat with Carl. We covered: How text analytics software is used by Border patrol agencies and its limitations. The role of humans in the loop, even with good text analytics in play What actually happened in the case of the Boston Marathon Bombing? Carl’s article“Exact Match” Isn’t Just Stupid. It’s Deadly. The 2 lessons Carl has learned regarding working with native tongue source material. Why Carl encourages Unicode Compliance when working with text, why having a global perspective is important, and how Carl actually implements this at his company Carl’s parting words on why hybrid architectures are a core foundation to building better data products involving text analytics Resources and Links: Basis Technology Carl’s article: “Exact Match” isn’t Just Stupid. It’s Deadly. Carl Hoffman on LinkedIn Quotes from Today’s Episode “One of the practices that I’ve always liked is actually getting people that aren’t like you, that don’t think like you, in order to intentionally tease out what you don’t know. You know that you’re not going to look at the problem the same way they do…” — Brian O’Neill “Bias is incredibly important in any system that tries to respond to human behavior. We have our own innate cultural biases that we’re sometimes not even aware of. As you [Brian] point out, it’s impossible to separate human language from the underlying culture and, in some cases, geography and the lifestyle of the people who speak that language…” — Carl Hoffman “What I can tell you is that context and nuance are equally important in both spoken and written human communication…Capturing all of the context means that you can do a much better job of the analytics.” — Carl Hoffman “It’s sad when you have these gaps like what happened in this border crossing case where a name spelling is responsible for not flagging down [the right] people. I mean, we put people on the moon and we get something like a name spelling [entity resolution] wrong. It’s shocking in a way.” — Brian O’Neill “We live in a world which is constantly shades of gray and the challenge is getting as close to yes or no as we can.”– Carl Hoffman Episode Transcript Brian: Hey everyone, it’s Brian here and we have a special edition of Experiencing Data today. Today, we are going to be talking to Carl Hoffman who’s the CEO of Basis Technology. Carl is not necessarily a traditional what I would call Data Product Manager or someone working in the field of creating custom decision support tools. He is an expert in text analytics and specifically Basis Technology focuses on entity resolution and resolving entities across different languages. If your product, or service, or your software tool that you’re using is going to be dealing with inputs and outputs or search with multiple languages, I think your going to find my chat with Carl really informative. Without further ado here’s my chat Mr. Carl Hoffman. All right. Welcome back to Experiencing Data. Today, I’m happy to have Carl Hoffman on the line, the CEO of Basis Technology, based out of Cambridge, Massachusetts. How’s it going, Carl? Carl: Great. Good to talk to you, Brian. Brian: Yeah, me too. I’m excited. This episode’s a little but different. Basis Tech primarily focuses on providing text analytics more as a service as opposed to a data product. There are obviously some user experience ramifications on the downstream side of companies, software, and services that are leveraging some of your technology. Can you tell people a little bit about the technology of Basis and what you guys do? Carl: There are many companies who are in the business of extracting actionable information from large amounts of dirty, unstructured data and we are one of them. But what makes us unique is our ability to extract what we believe is one of the most difficult forms of big data, which is text in many different languages from a wide range of sources. You mentioned text analytics as a service, which is a big part of our business, but we actually provide text analytics in almost every conceivable form. As a service, as an on-prem cloud offering, as a conventional enterprise software, and also as the data fuel to power your in-house text analytics. There’s another half of our business as well which is focused specifically on one of the most important sources of data, which is what we call digital forensics or cyber forensics. That’s the challenge of getting data off of digital media that maybe either still in use or dead. Brian: Talk to me about dead. Can you go unpack that a little bit? Carl: Yes. Dead basically means powered off or disabled. The primary application there is for corporate investigators or for law enforcement who are investigating captured devices or digital media. Brian: Got it. Just to help people understand some of the use cases that someone would be leveraging some of the capabilities of your platforms, especially the stuff around entity resolution, can you talk a little bit about like my understanding, for example, one use case for your software is obviously border crossings, where your information, your name is going to be looked up to make sure that you should be crossing whatever particular border that you’re at. Can you talk to us a little bit about what’s happening there and what’s going on behind the scenes with your software? Like what is that agent doing and what’s happening behind the scenes? What kind of value are you providing to the government at that instance? Carl: Border crossings or the software used by border control authorities is a very important application of our software. From a data representational challenge, it’s actually not that difficult because for the most part, border authorities work with linear databases of known individuals or partially known individuals and queries. Queries may be the form manually typed by an officer or maybe scan of a passport. The complexity comes in when a match must be scored, where a decision must be rendered as to whether a particular query or a particular passport scan matches any of the names present on a watch list. Those watch list can be in many different formats. They can come from many different sources. Our software excels at performing that match at very high accuracy, regardless of the nature of the query and regardless of the source of the underlying watch list. Brian: I assume those watch lists may vary in the level of detail around for example, aliases, spelling, which alphabet they were being printed in. Part of the value of what your services is doing is helping to say, “At the end of the day, entity number seven on the list is one human being who may have many ways of being represented with words on a page or a screen,” so the goal obviously is to make sure that you have the full story of that one individual. Am I correct that you may get that in various formats and different levels of detail? And part of what your system is doing is actually trying to match up that person or give it what you say a non-binary response but a match score or something that’s more of a gray response that says, “This person may also be this person.” Can you compact that a little bit for us? Carl: Your remarks are exactly correct. First, what you said about gray is very important. These decisions are rarely 100% yes or no. We live in a world which is constantly shades of gray and the challenge is getting us close to yes or no as we can. But the quality of the data in watch lists can vary pretty wildly, based on the prominence and the number of sources. The US border authorities must compile information from many different sources, from UN, from Treasury Department, from National Counterterrorism Center, from various states, and so on. The amount of detail and the degree of our certainty regarding that data can vary from name to name. Brian: We talked about this when we first were chatting about this episode. Am I correct when I think about one of the overall values you’re doing is obviously we’re offloading some of the labor of doing this kind of entity resolution or analysis onto software and then picking up the last mile with human, to say, “Hey, are these recommendations correct? Maybe I’ll go in and do some manual labor.” Is that how you see it, that we do some of the initial grunt work and you present an almost finished story, and then the human comes in and needs to really provide that final decision at the endpoint? Are we doing enough of the help with the software? At what point should we say, “That’s no longer a software job to give you a better score about this person. We think that really requires a human analysis at this point.” Is there a way to evaluate or is that what you think about like, “Hey, we don’t want to go past up that point. We want to stop here because the technology is not good enough or the data coming in will never be accurate enough and we don’t want to go past that point.” I don’t know if that makes sense. Carl: It does makes sense. I can’t speak for all countries but I can say that in the US, the decision to deny an individual entry or certainly the decision to apprehend an individual is always made by a human. We designed our software to assume a human in the loop for the most critical decisions. Our software is designed to maximize the value of the information that is presented to the human so that nothing is overlooked. Really, the two biggest threats to our national security are one, having very valuable information overlooked, which is exactly what happened in the case of the Boston Marathon bombing. We had a great deal of information about Tamerlan and Dzhokhar Tsarnaev, yet that information was overlooked because the search engines failed to surface it in response to queries by a number of officials. And secondly, detaining or apprehending innocent individuals, which hurts our security as much as allowing dangerous individuals to pass. Brian: This has been in the news somewhat but talk about the “glitch” and what happened in that Boston Marathon bombing in terms of maybe some of these tools and what might have happened or not what might have happened, but what you understand was going on there such that there was a gap in this information. Carl: I am always very suspicious when anyone uses the word ‘glitch’ with regard to any type of digital equipment because if that equipment is executing its algorithm as it has been programmed to do, then you will get identical results for identical inputs. In this case, the software that was in use at the time by US Customs and Border Protection was executing a very naive name-matching algorithm, which failed to match two different variant spellings of the name Tsarnaev. If you look at the two variations for any human, it would seem almost obvious that the two variations are related and are in fact connected to the same name that’s natively written in Cyrillic. What really happened was a failure on the part of the architects of that name mentioning system to innovate by employing the latest technology in name-matching, which is what my company provides. In the aftermath of that disaster, our software was integrated into the border control workflow, first with the goal of redacting false-positives, and then later with the secondary goal of identifying false negatives. We’ve been very successful on both of those challenges. Brian: What were the two variants? Are you talking about the fact that one was spelled in Cyrillic and one was spelled in a Latin alphabet? They didn’t bring back data point A and B because they look like separate individuals? What was it, a transliteration? Carl: They were two different transliterations of the name Tsarnaev. In one instance, the final letters in the names are spelled -naev and the second instance it’s spelled -nayev. The presence or absence of that letter y was the only difference between the two. That’s a relatively simple case but there are many similar stories for more complex names. For instance, the 2009 Christmas bomber who successfully boarded a Northwest Delta flight with a bomb in his underwear, again because of a failure to match two different transliterations of his name. But in his case, his name is Umar Farouk Abdulmutallab. There was much more opportunity for divergent transliterations. Brian: On this kind of topic, you wrote an interesting article called “Exact Match” Isn’t Just Stupid. It’s Deadly. You’ve talked a little bit about this particular example with the Boston Marathon bombing. You mentioned that they’re thinking globally about building a product out. Can you talk to us a little about what it means to think globally? Carl: Sure. Thinking globally is really a mindset and an architectural philosophy in which systems are built to accommodate multiple languages and cultures. This is an issue not just with the spelling of names but with support for multiple writing systems, different ways of rendering and formatting personal names, different ways of rendering, formatting, and parsing postal addresses, telephone numbers, dates, times, and so on. The format of a questionnaire in Japanese is quite different from the format of a questionnaire in English. If you will get any complex global software product, there’s a great deal of work that must be done to accommodate the needs of a worldwide user base. Brian: Sure and you’re a big fan of Unicode-compliant software, am I correct? Carl: Yes. Building Unicode compliance is equivalent to building a solid stable foundation for an office tower. It only gets you to the ground floor, but without it, the rest of the tower starts to lean like the one that’s happening in San Francisco right now. Brian: I haven’t heard about that. Carl: There’s a whole tower that’s tipping over. You should read it. It’s a great story. Brian: Foundation’s not so solid. Carl: Big lawsuit’s going on right now. Brian: Not the place you want to have a sagging tower either. Carl: Not the place but frankly, it’s really quite comparable because I’ve seen some large systems that will go unnamed, where there’s legacy technology and people are unaware perhaps why it’s so important to move from Python version 2 to Python version 3. One of the key differences is Unicode compliance. So if I hear about a large-scale enterprise system that’s based on Python version 2, I’m immediately suspicious that it’s going to be suitable for a global audience. Brian: I think about, from an experience standpoint, inputs, when you’re providing inputs into forms and understanding what people are typing in. If it’s a query form, obviously giving people back what they wanted and not necessarily what they typed in. We all take for granted things like this spelling correction, and not just the spelling correction, but in Google when you type in something, it sometimes give you something that’s beyond a spelling thing, “Did you mean X, Y, and Z?” I would think that being in the form about what people are typing into your form fields and mining your query logs, this is something I do sometimes with clients when they’re trying to learn something. I actually just read an article today about dell.com and the top query term on dell.com is ‘Google,’ which is a very interesting thing. I would be curious to know why people are typing that in. Is it really like people are actually trying to access Google or are they trying to get some information? But the point is to understand the input side and to try to return some kind of logical output. Whether it’s text analytics that’s providing that or it’s name-matching, it’s being aware of that and it’s sad when you have these gaps like what happened in this border crossing case where a name spelling is responsible for not flagging down these people. I mean, we put people on the moon and we get something like a name spelling wrong. It’s shocking in a way. I guess for those who are working in tech, we can understand how it might happen, but it’s scary that that’s still going on today. You’ve probably seen many other. Are you able to talk about it? Obviously, you have some in the intelligence field and probably government where you can’t talk about some of your clients, but are there other examples of learning that’s happened that, even if it’s not necessarily entity resolution where you’ve put dots together with some of your platform? Carl: I’ll say the biggest lesson that I’ve learned from nearly two decades of working on government applications involving multi-lingual data is the importance of retaining as much of the information in its native form as possible. For example, there is a very large division of the CIA which is focused on collecting open source intelligence in the form of newspapers, magazines, the digital equivalent of those, radio broadcast, TV broadcasts and so one. It’s a unit which used to be known as the Foreign Broadcast Information Service, going back to Word War II time, and today it’s called the Open Source Enterprise. They have a very large collection apparatus and they produce some extremely high quality products which are summaries and translations from sources in other languages. In their workflow, previously they would collect information, say in Chinese or in Russian, and then do a translation or summary into English, but then would discard the original or the original would be hidden from their enterprise architecture for query purposes. I believe that is no longer the case, but retaining the pre-translation original, whether it’s open source, closed source, commercial, enterprise information, government-related information, is really very important. That’s one lesson. The other lesson is appreciating the limits of machine translation. We’re increasingly seeing machine translation integrated into all kinds of information systems, but there needs to be a very sober appreciation of what is and what is not achievable and scalable by employing machine translation in your architecture. Brian: Can you talk at all about the translation? We have so much power now with NLP and what’s possible with the technology today. As I understand it, when we talk about translation, we’re talking about documents and things that are in written word that are being translated from one language to another. But in terms of spoken word, and we’re communicating right now, I’m going to ask you two questions. What do you know about NLP and what do you know about NLP? The first one I had a little bit of attitude which assumes that you don’t know too much about it, and the second one, I was treating you as an expert. When this gets translated into text, it loses that context. Where are we with that ability to look at the context, the tone, the sentiment that’s behind that? I would imagine that’s partly why you’re talking about saving the original source. It might provide some context like, “What are the headlines were in the paper?” and, “Which paper wrote it?” and, “Is there a bias with that paper?” whatever, having some context of the full article that that report came from can provide additional context. Humans are probably better at doing some of that initial eyeball analysis or having some idea of historically where this article’s coming from such that they can put it in some context as opposed to just seeing the words in a native language on a computer screen. Can you talk a little bit about that or where we are with that? And am I incorrect that we’re not able to look at that sentiment? I don’t even know how that would translate necessarily unless you had a playing back of a recording of someone saying the words. You have translation on top of the sentiment. Now you’ve got two factors of difficulty right there and getting it accurate. Carl: My knowledge of voice and speech analysis is very naive. I do know there’s an area of huge investment and the technology is progressing very rapidly. I suspect that voice models are already being built that can distinguish between the two different intonations you used in asking that question and are able to match those against knowledge bases separately. What I can tell you is that context and nuance are equally important in both spoken and written human communication. My knowledge is stronger when it comes to its written form. Capturing all of the context means that you can do a much better job of the analytics. That’s why, say, when we’re analyzing a document, we’re looking not only the individual word but the sentence, the paragraph, where does the text appear? Is it in the body? Is it in a heading? Is it in a caption? Is it in a footnote? Or if we’re looking at, say, human-typed input—I think this is where your audience would care if you’re designing forms or search boxes—there’s a lot that can be determined in terms of how the input is typed. Again, especially when you’re thinking globally. We’re familiar with typing English and typing queries or completing forms with the letters A through Z and the numbers 0 through 9, but the fastest-growing new orthography today is emoticons and emoji offer a lot of very valuable information about the mindset of the author. Say that we look at Chinese or Japanese, which are basically written with thousand-year-old emoji, where an individual must type a sequence of keys in order to create each of the Kanji or Hanzu that appears. There’s a great deal of information we can capture. For instance, if I’m typing a form in Japanese, saying I’m filling out my last name, and then my last name is Tanaka. Well, I’m going to type phonetically some characters that represent Tanaka, either in Latin letters or one of the Japanese phonetic writing systems, then I’m going to pick from a menu or the system is going to automatically pick for me the Japanese characters that represent Tanaka. But any really capable input system is going to keep both whatever I typed phonetically and the Kanji that I selected because both of those have value and the association between the two is not always obvious. There are similar ways of capturing context and meaning in other writing systems. For instance, let’s say I’m typing Arabic not in Arabic script but I’m typing with Roman letters. How I translate from those Roman letters into the Arabic alphabet may vary, depending upon if I’m using Gulf Arabic, or Levantine Arabic, or Cairene Arabic, and say the IP address of the person doing the typing may factor into how I do that transformation and how I interpret those letters. There’s examples for many other writing systems other than the Latin alphabet. Brian: I meant to ask you. Do you speak any other languages or do you study any other languages? Carl: I studied Japanese for a few years in high school. That’s really what got me into using computers to facilitate language understanding. I just never had the ability to really quickly memorize all of the Japanese characters, the radical components, and the variant pronunciations. After spending countless hours combing through paper dictionaries, I got very interested in building electronic dictionaries. My interest in electronic dictionaries eventually led to search engines and to lexicons, algorithms powered by lexicons, and then ultimately to machine learning and deep learning. Brian: I’m curious. I assume you need to employ either a linguist or at least people that speak multiple languages. One concern with advanced analytics right now and especially anything with prediction, is bias. I speak a couple of different languages and I think one of the coolest things about learning another language is seeing the world through another context. Right now, I’m learning Polish and there’s the concept of case and it doesn’t just come down to learning the prefixes and suffixes that are added to words. Effectively, that’s what the output is but it’s even understanding the nuance of when you would use that and what you’re trying to convey, and then when you relay it back to your own language, we don’t even have an equivalent between this. We would never divide this verb into two different sentiments. So you start to learn what you don’t even know to think about. I guess what I’m asking here is how do you capture those things? Say, in our case where I assume you’re an American and I am to, so we have our English that we grew up with and our context for that. How do you avoid bias? Do you think about bias? How do you build these systems in terms of approaching it from a single language? Ultimately, this code is probably written in English, I assume. Not to say that the code would be written in a different language but just the approach when you’re thinking about all these systems that have to do with language, where does that come in having integrating other people that speaks other languages? Can you talk about that a little bit? Carl: Bias is incredibly important in any system that tries to respond to human behavior. We have our own innate cultural biases that we’re sometimes not even aware of. As you point out, it’s impossible to separate human language from the underlying culture and, in some cases, geography and the lifestyle of the people who speak that language. Yes, this is something that we think about. I disagree with your remark about code being written in English. The most important pieces of code today are the frameworks for implementing various machine learning and deep learning architectures. These architectures for the most part are language or domain-agnostic. The language bias tends to creep in as an artifact of the data that we collect. If I were to, say, harvest a million pages randomly on the internet, a very large percentage of those pages would be in English, out of proportion to the proportion of the population of the planet who speaks English, just because English is common language for commerce, science, and so on. The bias comes in from the data or it comes in from the mindset of the architect, who may do something as simple-minded as allocating only eight bits per character or deciding that Python version 2 is an acceptable development platform. Brian: Sure. I should say, I wasn’t so much speaking about the script, the code, as much as I was thinking more about the humans behind it, their background, and their language that they speak, or these kinds of choices that you’re talking about because they’re informed by that person’s perspective. But thank you for clarifying. Carl: I agree with that observation as well. You’re certainly right. Brian: Do you have a way? You’re experts in this area and you’re obviously heavily invested in this area. Are there things that you have to do to prevent that bias, in terms of like, “We know what we don’t know about it, or we know enough about it but we don’t know if about, so we have a checklist or we have something that we go through to make sure that we’re checking ourselves to avoid these things”? Or is it more in the data collection phase that you’re worried about more so than the code or whatever that’s actually going to be taking the data and generating the software value at the other end? Is it more on the collection side that you’re thinking about? How do you prevent it? How do you check yourself or tell a client or customer, “Here’s how we’ve tried to make sure that the quality of what we’re giving you is good. We did A, B, C, and D.” Maybe I’m making a bigger issue out of this than it is. I’m not sure. Carl: No, it is a big issue. The best way to minimize that cultural bias is by building global teams. That’s something that we’ve done from the very beginning days of our company. We have a company in which collectively the team speaks over 20 languages, originate from many different countries around the world, and we do business in native countries around the world. That’s just been an absolute necessity because we produce products that are proficient in 40 different human languages. If you’re a large enterprise, more than 500 people, and you’re targeting markets globally, then you need to build a global team. That applies to all the different parts of the organization, including the executive team. It’s rare that you will see individuals who are, say, American culture with no meaningful international experience being successful in any kind of global expansion. Brian: That’s pretty awesome that you have that many languages going in the staff that you have working at the company. That’s cool and I think it does provide a different perspective on it. We talk about it even in the design firm. Sometimes, early managers in the design will want to go hire a lot of people that look like they do. Not necessarily physically but in terms of skill set. One of the practices that I’ve always liked is actually getting people that aren’t like you, that don’t think like you, in order to intentionally tease out what you don’t know, you know that you’re not going to look at the problem the same way they are, and you don’t necessarily know what the output is, but you can learn that there’s other perspectives to have, so too many like-minded individuals doesn’t necessarily mean that it’s better. I think that’s cool. Can you talk to me a little bit about one of the fun little nuggets that stuck in my head and I think you’ve attributed to somebody else, but was the word about getting insights from medium data. Can you talk to us about that? Carl: Sure. I should first start by crediting the individual who planted that idea in my head, which is Dr. Catherine Havasi of the MIT Media Lab, who’s also a cofounder of a company called Luminoso, which is a partner of ours. They do common sense understanding. The challenge with building truly capable text analytics from large amounts of unstructured text is obtaining sufficient volume. If you are a company on the scale of Facebook or Google, you have access to truly enormous amount of text. I can’t quantify it in petabytes or exabytes, but it is a scale that is much greater than the typical global enterprise or Fortune 2000 company, who themselves may have very massive data lakes. But still, those data lakes are probably three to five orders of magnitudes smaller than what Google or Facebook may have under their control. That intermediate-sized data, which is sloppily referred to as big data, we think of it as medium data. We think about the challenge of allowing companies with medium data assets to obtain big data quality results, or business intelligence that’s comparable to something that Google or Facebook might be able to obtain. We do that by building models that are hybrid, that combine knowledge graphs or semantic graphs, derived from very large open sources with the information that they can extract from their proprietary data lakes, and using the open sources and the models that we build as amplifiers for their own data. Brian: I believe when we were talking, you have mentioned a couple of companies that are building products on top of you. Difio, I think, was one, and Tamr, and Luminoso. So is that related to what these companies are doing? Carl: Yes, it absolutely is related. Luminoso, in particular, is using this process of synthesizing results from their customers, proprietary data with their own models. The Luminoso team grew out of the team at MIT that built something called Constant Net, which is a very large net of graph in multiple languages. But actually, Difio as well is also using this approach of federating both open and closed source repositories by integrating a large number of connectors into their architecture. They have access to web content. They have access to various social media fire hoses. They have access to proprietary data feeds from financial news providers. But then, they fuse that with internal sources of information that may come from sources like SharePoint, or Dropbox, or Google Drive, or OneDrive, your local file servers, and then give you a single view into all of this data. Brian: Awesome. I don’t want to keep you too long. This has been super informational for me, learning about your space that you’re in. Can you tell us any closing thoughts, advice for product managers, analytics practitioners? We talked a little about obviously thinking globally and some of those areas. Any other closing thoughts about delivering good experiences, leveraging text analytics, other things to watch out for? Any general thoughts? Carl: Sure. I’ll close with a few thoughts. One is repeating what I’ve said before about Unicode compliance. The fact that I again have to state that is somewhat depressing yet it’s still isn’t taken as an absolute requirement, which is today, and yet continues to be overlooked. Secondly, just thinking globally, anything that you’re building, you got to think about a global audience. I’ll share with you an anecdote. My company gives a lot of business to Eventbrite, who I would expect by now would have a fully globalized platform, but it turns out their utility for sending an email to everybody who signed-up for an event doesn’t work in Japanese. I found that out the hard way when I needed to send an email to everybody that was signed up for our conference in Tokyo. That was very disturbing and I’m not afraid to say that live on a podcast. They need to fix it. You really don’t want customers finding out about that during a time of high stress and high pressure, and there’s just no excuse for that. Then my third point with regard to natural language understanding. This is a really incredibly exciting time to be involved with natural language, with human language because the technology is changing so rapidly and the space of what is achievable is expanding so rapidly. My final point of advice is that hybrid architectures have been the best and continue to be the best. There’s a real temptation to say, “Just grow all of my text into a deep neural net and magic is going to happen.” That can be true if you have sufficiently large amounts of data, but most people don’t. Therefore, you’re going to get better results by using hybrids of algorithmic simpler machine learning architectures together with deep neural nets. Brian: That last tip, can you take that down one more notch? I assume you’re talking about a level of quality on the tail-end of the technology implementation, there’s going to be some higher quality output. Can you translate what a hybrid architecture means in terms of a better product at the other end? What would be an example of that? Carl: Sure. It’s hard to do without getting too technical, but I’ll try and I’ll try to use some examples in English. I think the traditional way of approaching deep nets has very much been take a very simple, potentially deep and recursive neural network architecture and just throw data at it, especially images or audio waveforms. I throw my images in and I want to classify which ones were taken outdoors and which ones were taken indoors with no traditional signal processing or image processing added before or after. In the image domain, my understanding is that, that kind of purist approach is delivered the best results and that’s what I’ve heard. I don’t have first-hand information about that. However, when it comes to human language in its written form, there’s a great deal of traditional processing of that text that boosts the effectiveness of the deep learning. That falls into a number of layers that I won’t go into, but to just give you one example, let’s talk about what we called Orthography. The English language is relatively simple and that the orthography is generally quite simple. We’ve got the letters A through Z, an uppercase and lowercase, and that’s about it. But if you look inside, say a PDF of English text, you’ll sometimes encounter things like ligatures, like a lowercase F followed by a lowercase I, or two lowercase Fs together, will be replaced with single glyph to make it look good in that particular typeface. If I think those glyphs and I just throw them in with all the rest of my text, that actually complicates the job of the deep learning. If I take that FI ligature and convert it back to separate F followed by I, or the FF ligature and convert it back to FF, my deep learning doesn’t have to figure out what those ligatures are about. Now that seems pretty obscure in English but in other writing systems, especially Arabic, for instance, in which there’s an enormous number of ligatures, or Korean or languages that have diacritical marks, processing those diacritical marks, those ligatures, those orthographic variations using conventional means will make your deep learning run much faster and give you better results with less data. That’s just one example but there’s a whole range or other text-processing steps using algorithms that have been developed over many years, that simply makes the deep learning work better and that results in what we call a hybrid architecture. Brian: So it sounds like taking, as opposed to throw it all in a pot and stir, there’s the, “Well, maybe I’m going to cut the carrots neatly into the right size and then throw them in the soup.” Carl: Exactly. Brian: You’re kind of helping the system do a better job at its work. Carl: That’s right and it’s really about thinking about your data and understanding something about it before you throw it into the big brain. Brian: Exactly. Cool. Where can people follow you? I’ll put a link up to the Basis in the show notes but are you on Twitter or LinkedIn somewhere? Where can people find you? Carl: LinkedIn tends to be my preferred social network. I just was never really good at summarizing complex thoughts into 140 characters, so that’s the best place to connect with me. Basically, we’ll tell you all about Basis Technology and rosette.com is our text analytics platform, which is free for anybody to explore, and to the best of my knowledge, it is the most capable text analytics platform with the largest number of languages that you will find anywhere on the public internet. Brian: All right, I will definitely put those up in the show notes. This has been fantastic, I’ve learned a ton, and thanks for coming on Experiencing Data. Carl: Great talking with you, Brian. Brian: All right. Cheers. Carl: Cheers.

Experiencing Data with Brian O'Neill
009 – Nancy Hensley (Chief Digital Officer, IBM Analytics) on the role of design and UX in modernizing analytics tools as old as 50 years

Experiencing Data with Brian O'Neill

Play Episode Listen Later Mar 26, 2019 49:44


Nancy Hensley is the Chief Digital Officer for IBM Analytics, a multi-billion dollar IBM software business focused on helping customers transform their companies with data science and analytics. Nancy has over 20 years of experience working in the data business in many facets from development, product management, sales, and marketing. Today’s episode is probably going to appeal to those of you in product management or working on SAAS/cloud analytics tools. It is a bit different than our previous episodes in that we focused a lot on what “big blue” is doing to simplify its analytics suite as well as facilitating access to those tools. IBM has many different analytics-related products and they rely on good design to make sure that there is a consistent feel and experience across the suite, whether it’s Watson, statistics, or modeling tools. She also talked about how central user experience is to making IBM’s tools more cloud-like (try/buy online) vs. forcing customers to go through a traditional enterprise salesperson. If you’ve got a “dated” analytics product or service that is hard to use or feels very “enterprisey” (in that not-so-good way), then I think you’ll enjoy the “modernization” theme of this episode. We covered: How Nancy is taking a 50-year old product such as SPSS and making it relevant and accessible for an audience that is 60% under 25 years of age The two components Nancy’s team looks at when designing an analytics product What “Metrics Monday” is all about at IBM Analytics How IBM follows-up with customers, communicates with legacy users, and how the digital market has changed consumption models Nancy’s thoughts on growth hacking and the role of simplification Why you should always consider product-market fit first and Nancy’s ideas on MVPs The role design plays in successful onboarding customers into IBM Analytics’ tools and what Brian refers to as the “honeymoon” experience Resources and Links: Nancy Hensley on Twitter Nancy Hensley on LinkedIn Quotes: “It’s really never about whether it’s a great product. It’s about whether the client thinks it’s great when they start using it.” –Nancy “Every time we add to the tool, we’re effectively reducing the simplicity of everything else around it.”–Brian “The design part of it for us is so eye-opening, because again, we’ve built a lot of best in class enterprise products for years and as we shift into this digital go-to-market, it is all about the experience…”–Nancy “Filling in that “why” piece is really important if you’re going to start changing design because you may not really understand the reasons someone’s abandoning.”–Brian “Because a lot of our products weren’t born in the cloud originally, they weren’t born to be digitally originally, doesn’t mean they can’t be digitally consumed. We just have to really focus on the experience and one of those things is onboarding.” –Nancy “If they [users] can’t figure out how to jump in and use the product, we’re not nailing it. It doesn’t matter how great the product is, if they can’t figure out how to effectively interact with it. –Nancy Episode Transcript Brian: Today on Experiencing Data, I [talked] to Nancy Hensley, the Chief Digital Officer of IBM Analytics. Nancy brings a lot of experience and has a lot to say about how user experience and design have become very integral to IBM’s success especially as they move their applications into the cloud space. They really try to bring the price point down and make their services and applications much more low touch in order to access a new base of subscribers and users. I really enjoyed this talk with her about what the designers and people focused on the product experience have been doing at IBM to keep their company relevant and keep them pushing forward in terms of delivering really good experiences to their customers. I hope you enjoy this episode with Nancy Hensley. Hello everybody. I’m super stoked to have Nancy Hensley, the Chief Digital Officer of IBM Analytics. How’s it going, Nancy? Nancy: Good. I’m happy to be here. Happy Friday. Brian: Yeah. It’s getting cold here in Cambridge, Mass ; [ you’re] in Chicago area, if I remember correctly. Nancy: Yeah, it’s a little bit chilly here as well. Brian: Nice. So it begins. You’ve done quite a bit of stuff at IBM when we had our little pre-planning call. You talked a lot about growth that’s been happening over at IBM. I wanted to talk to you specifically about the role that design and experience has played, how you guys have changed some of your products, and how you’re talking to new customers and that type of thing. Can you tell people, first of all, just a little bit about your background, what you’re currently doing, and then we could maybe […] some of those things. Nancy: Sure, happy to. Thank you for having me again. I think I’m one of those people that doesn’t fit nicely into a box of, “Are you product? Are you marketing?” I am a little bit of both. Most of my IBM career, I have moved in between product marketing and product management. That’s why I love digital so much because it really is a nice mixture. And in particular, growth hacking because it combines all the things I love, including data as a part of what we do. What I’m doing right now as a Chief Digital Officer in the Analytics Division and Hypercloud is how do we transform our products to make them more consumable, more accessible? We have best in class products in data science, in unified governments and integration, in hyper data management products, but our products and our business is built on a traditional face-to-face model. There is even a perception that we’re not as accessible to them and that’s what we’re looking to change. Creating those lower entry points, making it easier for people who didn’t have access to us before, to start small and grow through a digital channel, through a lower entry point product, and then scale up from there. That’s really what we’re trying to do and as part of a bigger mission to really democratize data science—I kind of cringe when I say that word—I think it’s really important for more clients to be able to be more data-driven, have tools that are easy to use, and leverage data science to optimize their business. Part of the way we’re doing that is to develop a digital route to market. We’re pretty excited about it. Brian: I think a lot of our listeners probably come from internal roles of companies. They might be someone that’s purchasing vendor software as opposed to a SaaS company where they may have a closer role to marketing and all that. Can you tell me what you guys are doing there? Part of the thing with my experience is that some of the legacy companies, the older companies that are out there tend to get associated with big giant enterprise installations, really crappy user experience. It’s just so powerful, you have to put up with all these stuff. People’s tendency these days to accept that poor experience as just status quo is changing. What have you guys done? Not that you’re to blame but I’m sure that opinion exist. How do you guys adapt to that and wonder if upstart analytics companies coming out with other things, what do you guys to to address the experience? Nancy: There’s certainly a perception that IBM is that big, complicated, enterprise-focused product out there. We see the data. There’s a lot of articles, there’s a lot of feedback, there’s endless report that all validate that clients are trading off complexity or features and functions for consumability, because they got to get things done, they have less people to do it. We fully recognize that. Where we started to look for that was how we first started to make things much more accessible, not just our cloud products because that’s pretty easy if you have stuff in the cloud—it’s pretty accessible—but our on-prime products as well. So, for clients that are running analysis behind the private cloud, whether it’s a statistical product, or a predictive analytics product, or data science project, or even what they’re doing on their data catalog, all of that was not something people would go to the cog to look for it. There are some things they need especially financial and health care, and there’s large and small companies on both sides. One of the things we set out to do is how do we create that cloud-like experience for clients that are running things behind their firewall. We started a project about a year ago to look at some of our on-prime products and create that experience where literally you could, within a couple of clicks, download, try, and be using a product within 15 minutes. That was our goal. As opposed to before where you would have to contact and IBM salesperson, get them to come out and meet with you, and then set-up a trial. That’s what we started to change was that at least make it accessible. As we progressed that capability, we started changing our pricing and packaging to be appropriate, to create that entry-level point, to create a shift to subscription. You want to buy everything on subscription these days, I think. The last part of that shift for us has been to really focus on the experience because a lot of these products were not born digital. We really need to make sure that when clients were coming through that channel, that it was a great experience. That’s really where design experience came into play for us. Brian: How did you know of what’s wrong beyond broad surveys or just that general feeling that like, “Oh, it’s the big giant bloated software…” the stereotype, right? How do you guys get into the meat and potatoes of like you said, sounds like there’s a benchmark there, 15 minutes on that first onboarding experience, but can you tell us a little bit of maybe if you have a specific example about how you figured it out? What do we need to change about this software application to make it easier to get value out of the analytics of the data that’s there? Nancy: I’ve got lots of examples. We’ll opt with one that clients actually are very familiar with, which is SPSS Statistics that a lot of us used back in college. That was a product that actually turns 50 years old this year. It’s been out a while, a lot of people still using it a lot, and most of our base of users for statistics, I think if you look at the demographics of it, over 60% are under the age of 25. So, their buying preferences were very different than they were when they started out in 1968. We look at the verbatims from our NPS feedback and it was clear that clients really wanted a much more simplified and flexible experience than buying SPSS Statistics and having access to it. A lot of times, students have to get it really quickly for a project because they’ve might have waited until the last minute and they wanted a much more flexible subscription-based program. They might only use it for a few months and then come back to it. That was one of the first things that we implemented was to change the buying experience for the consumption model. We didn’t actually change the product at that point. We just changed the consumption model to see if in fact that actually will help us have some growth on that product, and it absolutely did. Since then, we’ve actually gone back and change the product as well. It’s got a whole new UI for its 50th anniversary. Joke around that it’s got a face lift for it’s 50th anniversary. Brian: Does it have a green screen mode? Nancy: It is a completely different experience, not just from a buying perspective, but also from a UI perspective as well. We have other products, too, that have been around maybe not 50 years but have been very popular products like our DB2 Warehouse on Cloud and our DB2 database that clients have been buying for years to run their enterprises. We wanted to make that again, as we created a SaaS alternative of these products that it was extremely consumable. So, we’ve been looking specifically, is it easy to figure out which version to buy? How much to buy? What it’s going to do for you? Like I said, which version? How do I calculate things? We’ve been really looking at the experience of that is, if there was no salesperson at all, how do we help clients through that buying experience? Brian: I’m curious. When you decided to helping them through the buying experience, does any of that thinking or that strategy around hand-holding someone through that experience happen in the product itself? I’m guessing you’re downloading a package at some point, you’re running an installer, and at that point, did you continue that hand-holding process to get them out of the weeds of the installation and onboarding again to the actual, “Is this tool right for what I needed to do?” Everything else being friction up until that point where you’re actually working with your data, did you guys carry that through? Can you talk about that? Nancy: You’re hitting one of my favorite topics which is onboarding. Because a lot of our products weren’t born in the cloud originally, they weren’t born to be digital originally, doesn’t mean they can’t be digitally consumed. We just have to really focus on the experience and one of those things in onboarding. Let’s say, DB2 in particular, which won the process of creating onboarding experience for DB Warehouse on Cloud. For anybody who’s used DB2, we do have an updated UI for that. They can jump in and start using it. But that’s not everyone, the people that haven’t used it before. So, we just started working with a couple of different onboarding tools to create these experiences. Our goal was to be able—at least I’m offering management side alongside our partners but design—to create these experiences in a very agile way and make them measurable—my second favorite topic, which is instrumentation—but not have a burden on development, because the fact is, in almost any organization, development wants to build features and functions. Whenever we talk about this, they were prioritized lower because they want to build new capabilities. They’re less enthusiastic about building in things like onboarding experiences. With some of the tools like [.DB2..] give us, is a way to make it codeless to us. We can create these experiences, then pass the code snippet, and then measure whether those are effective or not because we actually see those flowing through segment into our amplitude as a part of the shuttle. We’ve got some great feedback as to whether they’re working or where they’re falling down. We can create checklists of things that we want the clients to do that we know makes the product sticky, and see if they actually complete that checklist. It’s giving us so much better view because before, what we would see with a client is register for trial, they downloaded the trial, they’ve created their instance, and then boom they fall off the cliff. What happened? Now we’re getting a much better view to what’s actually going on for the products that have been instrumented as well as the view we’re getting in from the onboarding experiences. Brian: For every one of these applications that you’re trying to move into a cloud model or simplify whether it’s cloud, to me the deployment model doesn’t matter. It’s really about removing the friction points whether it’s on-premise software or not. I think we all tend to use the word ‘cloud’ to kind of feel like, “Oh, is this browser-based thing? There’s no hard clients? There’s no running scripts at the terminal and all that kind of stuff?” Do you guys have a set of benchmarks or something that you establish for every one of these products that are going to go through a redesign? Nancy: We do. We’ve got a set of criteria, it’s really broken down into two pieces. Whether it’s going to be a cloud product or an on-premise product—I actually have a mix of both—there is what we call the MVP side, which might be something that’s not born in the cloud, it’s not a new product, and we’re looking to create a lower entry point, a really good trial experience, a very optimized journey. We’re even doing things like taking some of the capabilities that we used to have from a technical perspective and making those more digitally available. Online proof of concepts, hands-on labs that you do online instead of waiting for a technical salesperson to come out to see you. Tap us that can answer your questions faster even before you talk to a sales rep. All of that is included in the what we call the MVP portion of the criteria that we look at. Pricing and packaging’s got to be right for the product, for the marketplace. Got to have that right product market fit that you’ve got a good valuable product but a low-enough entry point where somebody can start small and scale up. The second part of the criteria is where the growth magic happens, where we’re dumbing down a lot more on the experimentation, where we’re making sure that we’ve got onboarding, instrumentation we want done, and the MVP phase, we don’t always get it, but our development partners really understand the value of that now, which is great. Though more often, we’re getting into the second phase of where we’re more doing the transformation. Through that, then we’re getting a lot more feedback, where we can create the onboarding experience. We can do even more on the optimized journey. We’re doing a lot of growth hacking that’s based on terms of optimizing. Things like how clear is information on the pricing page? Is it easy for the customer to figure out what they need to buy? What the pricing is for that? Can they get their questions answered quickly? Can we create a deeper technical experience for them, even outside of the trial itself? Like I mentioned, things we’re doing with our digital technical engagement, thinking that what used to be our tech sales modeling and making it more digital. Brian: That’s cool. When you guys go through this process of testing, are you primarily looking at quantitative metrics then that are coming back from the software that you guys are building, or you’re doing any type of qualitative research to go validate like, “Hey, is the onboarding working well?” Obviously, the quantitative can tell you what. It doesn’t tell you why someone might have abandoned at this point. You guys do any research there? Nancy: We do. It happens in a couple of places. We run squads that are cross-functional across marketing, product, development, and design, each product. Then every Monday we have this thing called Metrics Monday where we get the cross-functional routines together, we share the insights around the metrics. If we had a big spike or we had a big decrease, or if we had a change in engagement, or if we did some experimentation that came out with a very interesting result, we actually share that across teams. We really focus on why did things happen. We have a dashboard. Everybody is religious in using on a daily basis that tracks all of our key metrics, whether it’s visits, engage visits, trials, trial-to-win conversions, number of orders, things like that, but we also want to dive deeper into the ebbs and flows of the business itself, why things are happening, and if the experimentation we’re doing is helping or not helping. We’ve got a lot of focus on that on a daily and a weekly basis. Brian: Do you have any way to access the trial users and do one-on-one usability study or a follow-up with them that’s not so much quantitative? Nancy: Our research team and design will do that and they’ll take a very thorough approach to both recording users using the product, getting their feedback. It’s pretty thorough and also gives us some feedback. We usually don’t do that until the product’s been in the market for a little bit longer. We’ve got some hypothesis of how we think it’s doing, and then the research team will spend a couple of weeks diving a lot deeper into it. We get some great feedback from that. Honestly, as a product person, as much as I’d to think I’m focused on a beautiful experience, my lens versus our designers’ lens is completely different and they just see things we don’t. Brian: Yeah, the friction points and filling in the why’s, it takes time to go and do that, but it can tell you things, it helps you qualify the data, and makes sense especially when you’re collecting. I’m sure at the level that you guys are collecting that, you have a lot of inbound analytics coming back on what’s happening. But it’s really filling in that “why” piece that is really important if you’re going to start changing design because you may not really understand the reasons someone’s abandoning. Maybe it’s like, “I couldn’t find the installer. I don’t know where the URL is. I ended up locking the server on my thing and I don’t know how to localhost, but I forgot the port number,” and the whole product is not getting accessed because they don’t know the port number for the server they installed or whatever the heck it is, and it’s like, “Oh, they dropped off. They couldn’t figure it out how to turn it on, like load the browser…” Nancy: Right, and even behavioral things that we don’t always think of, like putting a really cool graphic in the lead space that actually takes the attention away from the callback-ends. We’re all proud of, “Hey look at this cool graphic we built.” One of our designers uses a tool that tracks eye movements and [wait a second] “We’re losing the focus here.” But again, you don’t always see from that lens. The design part of it, for us has been so eye-opening because again, we’ve built a lot of best in class enterprise products for years. As we shift into this digital go-to market, it is all about the experience. It’s all about how good the experience is, how easy the experience is, how frictionless it is, and it’s also about how consumable and accessible the product is in the marketplace. Brian: You mentioned earlier, it sounded like engineering doesn’t want to go back and necessarily add onboarding on all of this. This gets into the company culture of who’s running the ship, so to speak. Is it engineering-driven in your area? How do you guys get aligned around those objectives? I’ve seen this before with larger enterprise clients where engineering is the most dominant force and sprints are often set up around developing a feature and all the plumbing and functionality required to get that feature done, but there’s not necessarily a collective understanding of, “Hey, if someone can’t get from step A to step G, horizontally across time, then all that stuff’s a failure. Step F which you guys went in deep on is great, but no one can get from E to F, so definitely they can’t get to G.” So, that’s you’re qualifier of success. How do you guys balance that? Who’s running the ship? Does your product management oversee the engineering? Can you talk a little bit about that structure? Nancy: We call operating management aside from product management for a reason, because we really do want the operating managers to feel like they’re the CEO of their business and run the ship. Of course, development has a big say at the table, but they have a natural tendency to want to build capabilities. It’s never going to go away. It’s been that way for ages. We just don’t want to fight that tendency. We want them to focus on building, not take six months to build an onboarding experience when they could build in really valuable functionality in that six months instead. So, we really run it as a squad, just like many other companies. Operating management does leave a lot of the strategy with our products and development, but I would say that design is also a really, really chief at the table, for sure, absolutely. Brian: Tell us a little bit about your squads and is this primarily a designer or a UX professional up in your offering manager? Are they a team and then you pull in the engineering representatives as you strategize? Nancy: My team is a digital offering management. We’re a subset of offering management better known as product management. We will run the squads and the squads will be a cross-function of our product marketing team, our performance marketing team, which is demand to and type marketing. They run the campaigns, design, developments, the core product managers because we’re the digital product managers and such, and then there’s the core product managers. They have all routes to market. We’re just focused on the digital ones. With that is the cross-functional squad that gets together on a weekly basis and they run as a team. From a digital perspective, it’s led by the Digital OM for our route to market there. Brian: That’s interesting. How do you ensure that there are some kind of IBMness to all these offerings? Your UX practice and offering managers sound like they are part of one organization, but I imagine some of these tools, you might be crossing boundaries as you go from tool X to tool Y. Maybe you need to send data over like, “Oh, I have this package of stuff and I need to deploy this model,” then we have a different tool for putting the model into production and there’s some cross user experience there. Can you talk about that? Nancy: That’s really why design’s been key because their job is to keep us onus making sure that the experience is somewhat consistent across the tools so they seem familiar to us, especially within a segment data science. Some of these are using our Watson Studio tool and then moves to our statistics for our modeler tool. There should be a very familiar experience across those. That’s why design is really the lead in the experience part of it. From pricing and packaging, we try to maintain a consistency as much as possible across all the products again. Whatever level of familiarity you have and how we price and package things should be consistent across the entire segment. So we strive for that as well. On the digital side, in terms of the experience on the actual web, we partner with a team called the Digital Business Group. They are basically the host of our digital platform and they maintain a level of consistency worldwide across all the products in terms of the digital journey itself with us. Brian: That’s cool that you guys are keeping these checkpoints, so to speak, as stuff goes out the door. You’ve got the front lenses on it looking at it from different quality perspectives, I guess you could say. Earlier, you mentioned democratizing data science and we hear this a lot. Are we talking about democratizing the results of the data science, so at some point there’s maybe decision support tool or there’s some kind of outcome coming from the data science? Is that what you’re talking about democratizing? Or are you saying for a data scientist of all levels of ability, it’s more for the toolers as opposed to the [consumers..]? Nancy: It’s about the capability. The ability to put more of these products or these products in people’s hands that bought, that they might have been out of their reach, or that they were too enterprisey, or that they are for big companies. That’s one of the key things that we want to do. When you look at some of our products, they start really, really low. Cognizant Analytics is another great example where people might have had a perception that it’s really expensive but we just introduced a new version of it, and it’s less than $100 a month. You can get these powerful tools for analysis for a lot less than you think. Statistics in $99 a month, one of our pay products are significantly less, and it allows these companies that might not have considered doing business with us, to smart small and build up. That’s one of the key things we noticed as we shifted to a subscription model. With that, we started to see double digit increases in the number of clients that were new on products. Just because opened up this new route to market, doesn’t mean that we still didn’t maintain our enterprise face-to-face relationships because, of course, we did, but this allowed us to open up relationships with clients might have not gotten to before. Brian: How are the changes affecting the legacy users that you have? I imagine you probably do have some people that are used to, “Don’t change my toolset,” like, “I’ve been using DB2 for 25 years.” How are they reacting to some of the changes? I imagine at some point maybe you have some fat clients that turn to browser-based interfaces. They undergo some redesign at that point. Do you have a friction between the legacy experience and maybe do you employ the slow change mentality? Or do you say, “Nope, we’re going to cut it here. We’re jumping to the new one and we’re not going to let the legacy drag us back”? You talk about how you guys make those changes? Nancy: We’re shifting towards the subscription model. Our clients are, too. We have clients that are demanding that this is the only way that they actually want to buy software is through a subscription model. So it’s changing for them as well. I think in many ways, it’s a welcome change across the board. I can’t think of any negativity that we’ve had in both the change for the consumption models on a subscription side, as well as the new UI changes and things that we’re doing to the product that really update them and give them a modern feel. I know a lot of the onboarding is a welcome change, even for clients that are familiar with us. It helps them because they have to do less training internally to help people use the tool because now we’re building it into the product. Brian: How do you measure that they’re accepting that? Do you wait for that inbound feedback? Do you see if there’s attrition and then go talk to them? I imagine there’s some attrition that happens when you make a large tooling change. Is there a way to validate that or why that happened? Was it a result of changing too quickly? Any comment on that? Nancy: I think it’s a couple of things. We’re constantly monitoring the flow of MRR and the contraction of revenue where the attrition that we get through some of our subscription, to see if there is any anomalies there. But also we’re always were very in-tune with NPS. A lot of our product managers live and die in the verbatims and with the integration of FLAX, they get a lot of it. They’re coming right at them constantly, that they respond to. We are very, very in-tune with NPS and the feedback we’re getting there. We’re also getting a lot of reviews now on our software using tools like G2 Crowd where we keep an eye on that. I think the feedback doesn’t just come from one place. We’ll look at things like the flow through Amplitude. Our clients, when they’re coming in and during the trial, are they getting stuck someplace? Are they falling off someplace? Are they falling off either at a specific page like the pricing page? Or are they falling off as soon as they get the trial because they don’t know what to do with it? We look at things like that. We look at NPS in particular after we’ve introduced new capabilities. Did our NPS go up? What’s the feedback? Are our clients truly embracing this? I think it’s a combination of things. There is a lot of information, a lot of data that we just need to stay in-tune with. We’ve got a couple of dashboards that I know my team wakes up with everyday and takes a look at, and the product team. The core product manager stayed very focused on NPS. Brian: Do you have a way of collecting end-user feedback directly? I would imagine maybe in your newer tools, it’s easier to tool some of that in, but is there any way to provide customer feedback or something to chat or any type of interactivity that’s directly in the tools that you’re creating these days? Nancy: Sure. We are rolling out more end-product nurture capability than we ever had before. That gives them the ability to chat directly within the product, as well as schedule a time with an expert. We’re working in making that even easier through a chat bot. So if you do get stuck and you’re chatting with that bot, you can schedule the appointment with an expert right there. I think there’s lots of ways to do that. I think sometimes I worry that there’s too much data coming at us but we [didn’t have enough..] before, so I’m not going to do that. Brian: Right. It’s not about data, right? It’s, do we have information? Nancy: Do we have information? Exactly. I would say my team spends a lot of time going through that, looking at Amplitude, analyzing the flows, looking in the patterns, in the orders, in the data, and the revenue. With the NPS feedback, it’s a combination of all of that stuff that really gives us a good view. As well as looking at the chat data, and analyzing some of the keywords that’s coming across on the chat, the Watson robots are constantly learning, which is great. We’re using machine learning to get smarter about what do people ask about, and that’s giving us also some good insight into the questions they ask, the patterns of information they’re searching for by product. Brian: In terms of the net promoter score that you talked about, tell me about the fact that how do you interpret that information when not everybody is going to provide a net promoter score? You have nulls, right? Nancy: Right. Brian: How do you factor that in? That’s the argument against NPS as the leading indicator. Sometimes, it’s not having any information. So you may not be collecting positive or potentially negative stuff because people don’t even want to take the time to respond. Do you have comments on how you guys interpret that? Nancy: I think you also have to look at the NPS is going to go up and down. If you have a client who has particularly a bad experience, it’s the week of thanksgiving, there was only X amount of surveys, and one of them had a bad experience that could make your NPS score looks like it drops like a rock. [right] you’ve got to look at it like the stock market. It’s more of the patterns over the long haul, what’s coming across within those patterns of information and feedback the clients are giving you. We react but you have to look at the data set, you have to look at the environmental things that are happening, and take that all into consideration from an NPS perspective. We’re very driven by that and that comes down from our CEO. She’s very cognizant, making sure that the product teams and the development teams are getting that feedback directly from the clients. As an organization—we’re a few years old—the way we used to do that is we would have these client advisory boards. It was a small number of clients that would give us feedback on our products, roadmap, and usability of that. The reality is just that then you end up building the product for 10% of your clients. Now it’s been eye-opening for us as we really open that up. Obviously, we’re still getting feedback from a larger community and client advisory board still, but NPS comments and feedback has really widen the aperture of the feedback we’ve gotten from a broader scope of clients. Brian: You brought up a good point. I had a client who luckily was cognizant of this and they did the same things where they fly their clients, they do two-day workshops, and they gather feedback from them. I was doing some consulting there and he said, “Brian, I’d like you to just go walk around, drop in some of the conversations and just listen, but take it with a grain of salt because I hate these freaking things. All we do is invite people that are willing to come for 2–3 days and tell us how much they love our stuff, it’s a free trip, we’re not getting to the people that don’t like our stuff…” Nancy: Or don’t use it. Brian: Or don’t use it at all. I love the concept of design partners, which is new, where you might have a stable of customers who are highly engaged, but that the good ones are the ones that are engaged who will pummel you when you’re stuff is not happening. They will come down on you and they will let you know. So it’s really about finding highly communicative and people who are willing to tell it like it is. It’s not, we’ll go out and find people that rah-rah, cheerleading crowd for you. Did that inspire the changes? Nancy: Even in the client advisory councils that we had—I ran a couple of them for products like Netezza for a while—we started to change the way we even ran those. I remember the biggest aha moment was, we had a client advisory board for Netezza one year and not too long ago. We decided to run a design thinking camp as part of the agenda, so that they would actually drive what they wanted from our requirements prospectus, going through the design thinking process through that. What came out of it was truly eye-opening. You know how a design thinking process progresses. I think even they were surprised at what they ended up prioritizing across the group of requirement. I think we’re really starting using differently about that feedback from clients. I do remember that day when we were looking at those things and that was not where we thought we would end up. Brian: Do you have a specific memory about something that was surprising to the group that really stuck? Something you guys learned in particular that stuck with you? Nancy: I think we focused a lot more at that point. At the time there was a lot of issues around security and what was one of our leading things going into the next version. What clients actually were not necessarily as verbal about was that, as they were using these appliances and they were becoming more mission-critical, they were doing more mixed workloads. Yes, security was still incredibly important, but what was emerging beyond that for them was workload management because they had this mixed workload that was emerging. So many different groups were jumping in with different types of workload. They have not anticipated on their [day route?] appliance, so it was something that I think came out of the next in the design thinking process that was important to them that they actually hadn’t been able to verbalize to us. Outside of that process, which was really, really interesting to us, we were on track with the requirements that we have but beyond that, the requirements that we just hadn’t thought of and quite honestly they hadn’t verbalized. Brian: You make a good point there. Part of the job of design is to get really good clarity on what the problems are and they’re not always going to be voiced to you in words or in direct statements. It’s your job to uncover the latent problems that are already there, crystalize them, so ideally whoever your project manager in the organization and your leadership, can understand and make them concrete because then you can go and solve them. When they’re not concrete and vague, like, “We need better security.” But what does that mean specifically? If you start there and really the problem had to do with the mixed workloads and managing all that, it’s like you can go down a completely different path. You can still write a lot of code, you can build a lot of stuff, and you can do a lot of releases, but if you don’t really know what that problem is that you’re solving, then you’re just going through activity and you’re actually building debt. You’re building more technical debt, you’re wasting money and time for everybody, and you’re not really driving the experience better for the customer. I think you made a good point about the design thinking helps uncover the reality of what’s there, when it’s not being explicitly stated, support requests are not going to get that type of information. They tend to be much more tactical. You’re not going to get a, “Hey, strategically I think the project needs to go this direction.” Nancy: Right and if you would have asked of us an open-ended question, you would have gotten and answer that could have been interpreted slightly differently. I think this was when I became the biggest fan of design is that, there was this magical person who was running this design camp for me that got information that I didn’t think I could get to. I mean, I knew nothing about the product. It was pretty amazing. Brian: That can happen when you also get that fresh lens on things even when they may not be a domain expert. You get used to seeing the friction points that people have and you can ask questions in a way to extract information that’s not biased. You’re not biased by the legacy that might be coming along with that product or even that domain space. It’s sometimes having jthat almost like first grade, “Tell it to me like I’m your grandfather,” or, “Explain that to me this way,” and then you can start to see where some of those friction points are and make them real. I always enjoyed that process of when you’re really fresh. Maybe this happens for other people but especially as a designer and consultant, coming into a product and a new domain, and just having that first-grader lens on it like, “Hey, could you unpack that for me?” “What is the workload in there like?” looking at you like, “What?” and you make them unpack that but you give that full honesty there to really get them to extract out of their head into words that you [and.] everyone can understand. That’s where some of those magical things happen like, “Oh my gosh. We had no idea that this was a problem,” because he or she thought it was so obvious like, “Of course, they know this,” and it’s like, “No. No one’s ever said that.” Nancy: Right. We’re experiencing that now. We have an embedded designer into our team that’s focused on our growth products. Again, she’s coming in with a complete fresh set of eyes and her perspective that she brings on the experience is just so completely different, not completely different but there are things that she flushes out we would have never see. It’s really helping because a lot of times, too, when you’re focused on the experience as opposed to the features and functions analysis, and you come down to looking at it from that perspective. I don’t want to go to development and tell them this because it’s like calling their baby ugly. But at the end of the day, the client needs to have a great experience. They need to see the value. When they’re even just trying the product out, they don’t get to that aha experience like, “I know how this will help me within 15 minutes.” We’re just not nailing it. If they can’t figure out how to jump in and use the product, we’re not nailing it. It doesn’t matter how great the product is, if they can’t figure out how to effectively interact with it. Brian: Effectively, none of the stuff really exist in their world. It just doesn’t exist because they can’t get to it. So, effectively it’s totally worthless. Whatever that island you have on the island, if there’s no bridge to get there, it doesn’t matter because its just totally inaccessible. Nancy: Right and it’s harder sometimes for even the product managers to see it. When I was sitting down in a demo of a product that we are going to be releasing, dude was cruising through the demo, my eyes were like glazed over, I just look and I was like, “Boy, we’re going to need some onboarding with that.” Great product, amazing capabilities, very complex and dense in its capability. It’s never really about whether it’s a great product. It’s about whether the client understands that’s great, when they start using it. Brian: Yeah and I think especially for analytics tools, highly technical tools used by engineers and other people that have better working in this kind of domain. Sometimes we gloss over stuff that seems like it would be totally easy or just not important. I have this specific example I was working on a storage application. It was a tool I think for migrating storage between an old appliance and a new appliance. At some point during that workload migration, something as simple as like, “Oh, I need a list of these host names and these IP addresses,” some other information that’s just basically setup-related stuff, and all the tool needed to do was have a CSV download of a bunch of numbers to be piped into another thing so that they could talk to each other. It’s not sexy. It’s literally a CSV. It was the only technical lift required, but it was not seen as engineering. It’s not part of the product. That has to do with some other product but you have to go type it into. It’s like yes, but that bridge is never going to happen. It takes them 10 years to go figure out where all these IP addresses are listed, domain names, and all these kind of stuff. It’s not sexy but if you look at the big picture, the full end-to-end arc, and if we’re all lying around, what is that A to G workflow, there’s six steps that have to happen there. This is not sexy, it’s not a new feature but this is the blocker from getting from B to E. They’re never get to A, which is where the product begins. Nancy: We definitely had those discussions in the early days about making it more consumable instead of giving it more features and functions, and can’t we really hack growth that way? That is a mind shift that if you are a design-led organization, you get it, and we believed in every part of our being that we are. Sometimes we still have that natural resistance that we really need to add more features and functions to make this product grow, but I think we’ve really turned the corner on that. Digital really has been the task for us to do that because we build the experience in the products as if there was no IBM sales team that’s going to surround you to help make you a success. That’s a very different way that we’ve done things for so many years, and the only way you can do that is by focusing on experience. Brian: You bring up a good point and I think that it’s worth reiterating to listeners. You can add these features but they do come at a cost. The cognitive load goes up. Every time we add to the tool, we’re effectively reducing the simplicity of everything else around it. Typically as a general rule, removing choice simplifies because you’re just removing the number of things that someone has to think about. So those features don’t really come for free. It’s almost like you have a debt as soon as you add the feature and then you hope you recoup it by, “Oh there’s high engagement. People are really using that,” so that was a win. If there’s low engagement with it, you just add it. It’s like Microsoft Word 10 years ago. You just added another menu bar and another thing that no one’s gonna use, and now it’s even worse. The pile continues to grow and it’s so hard to take stuff out of software once it’s in there, because you’re going to find, “You know what? But IBM’s our client, and they’re using it. IBM makes $3 million a year. We’re not taking that button out of the tool. End of story,” and now you have that short-term like, “We can’t take that out because Nancy’s group uses this.” Nancy: That’s right and we can’t point out exactly. I think my favorite story when it comes to that is the Instagram story that people talk about, where it was launched as a tool, a product called Bourbon. It had all of these great capabilities and it was going nowhere. So they dug into the usability side of things and said, “Well, what are people actually using?” which is what we do as well from an instrumentation perspective, and found that they were really only using a couple of things. They wanted to post a picture, they wanted to comment on the picture, they want to add some sort of emojis or in like system the picture and they are like, “Let’s [do.]. Let’s just do three or four things, do them really great, and relaunch the product,” and then of course the rest is history. I think that that’s a great illustration of more features and functions. If they’re not important, relevant, and consumable, all three of those things, are not going to give you growth. It comes down to, is it easy to use? Can I get value out of it? Do I immediately see that I can get value out of it? That’s all product market fit. That’s where we shifted our focus and digital’s helped us, too. That’s why my job is so cool. Brian: Cool. This has been super fun. Can you leave us with maybe an anecdote? Do you have a big lesson learned or something you might recommend to people that are either building internal tools, internal enterprise software or even SaaS products, something like, “Hey, if I was starting fresh today, I might do this instead of doing that.” Anything from your experience you could share? Nancy: For me, the biggest thing is just really focusing on product market fit because we build something sometimes to be competitively great, but not necessarily competitively great and competitively different, or that. So to understand that you not only have something that solves somebody’s problem but does it in a way that’s unique, and that’s so valuable that they’ll pay the price that’s appropriate for whatever they’ll pay for it. You’ve got to start thinking about that upfront because oftentimes, we’ll build something we’ll see a market opportunity for, but we may not truly understand product market fit whereas we know who the target is, we know what they’ll pay for this, we know what the value is, we know how to get to them, and I think you’ve got to start with that upfront, like you really got to understand product market fit or you’re never be able to grow the product. I’ve got a lot of religion around that and we really try very, very hard to create pricing and packaging around making sure we hit that, but the product has to have that value. It can’t be too overwhelming, it can’t be too underwhelming, it’s got to hit that great value spot. Brian: Fully agree on getting that fit upfront. You save a lot of time, you could solve a lot of technical debt instead of jumping in with the projects that you going to have to change immediately because you find out after the fact and now you’re starting it like… Nancy: See you in Instagram not a Bourbon, right? Brian: Exactly. Tell us where can people find you on the interwebs out there? Nancy: I probably spend a lot of time on Twitter. Maybe not so much lately. It’s been a little bit crazy but you can find me on Twitter @nancykoppdw […] or you can find me on LinkedIn. I am going to try and do better. I am on Medium. I haven’t done as good about blogging but that’s one of my goals for trying to get back on blogging. I’m usually out there on Medium or Twitter talking about growth hacking and digital transformation. I do podcast as well. Brian: Cool. I will put those links up on the show notes for anyone. Thanks for coming to talk with us, Nancy. It’s been fun. This has been Nancy Hensley from IBM Analytics, the Chief Digital Officer. Thanks again for coming on the show and hope we get the chance to catch up again. Nancy: Thank you.

Experiencing Data with Brian O'Neill
006 - Julien Benatar (PM for Pandora's data service, Next Big Sound) on analytics for musicians, record labels and performing artists

Experiencing Data with Brian O'Neill

Play Episode Listen Later Feb 13, 2019 45:01


We’re back with a special music-related analytics episode! Following Next Big Sound’s acquisition by Pandora, Julien Benatar moved from engineering into product management and is now responsible for the company’s analytics applications in the Creator Tools division. He and his team of engineers, data scientists and designers provide insights on how artists are performing on Pandora and how they can effectively grow their audience. This was a particularly fun interview for me since I have music playing on Pandora and occasionally use Next Big Sound’s analytics myself. Julien and I discussed: How Julien’s team accounts for designing for a huge range of customers (artists) that have wildly different popularity, song plays, and followers How the service generates benchmark values in order to make analytics more useful to artists How email notifications can be useful or counter-productive in analytics services How Julien thinks about the Data Pyramid when building out their platform Having a “North Star” and driving analytics toward customer action The types of predictive analytics Next Big Sound is doing Resources and Links: Julien Benatar on Twitter Next Big Sound website Next Big Sound blog The Data Pyramid model Quotes from Julien Benatar "I really hope we get to a point where people don’t need to be data analysts to look at data." "People don’t just want to look at numbers anymore, they want to be able to use numbers to make decisions." "One of our goals was to basically check every artist in the world and give them access to these tools and by checking millions of artists, it allows us to do some very good and very specific benchmarks" “The way it works is you can thumb up or thumb down songs. If you thumb up a song, you’re giving us a signal that this is something that you like and something you want to listen to more. That’s data that we give back to artists.” “I think the great thing today is that, compared to when Next Big Sound started in 2009, we don’t need to make a point for people to care about data. Everyone cares about data today.” Episode Transcript Brian: I’m really excited today for this episode. We have Julien Benatar on the show and he’s from a company that I’m sure a lot of people here know. You probably have had headphones on at your desk, at home, or wherever you are listening to Pandora for music. Julien , correct me if I’m wrong, you were the product manager for artist tools and insights at Next Big Sound, which is a type of data product that provides information on music listening stats to, I assume, artists’ labels as well to help them understand where their fans are and social media engagement. I love this topic. I’m also a musician, I have a profile on Next Big Sound and I feel music’s a fun way to talk about analytics and design as well because everybody can relate to the content and the domain. Welcome to the show. Did I get all that correct? Julien: Yeah, it was perfect. Brian: Cool. Tell us a little about your background. You’re from France originally? Julien: Yes, exactly. I grew up next to Paris, in Versailles more specifically, and moved to New York in 2014 to join Next Big Sound. Brian: Cool, nice. You’ve been there for about four years, something like that. You have a software engineering background and then now you’re on the product side, is that right? Julien: Exactly yes. I joined the company back when we were a startup. Software engineering was perfect, there was so much to do. To our move to Pandora, I moved to a product manager role around a year ago. Brian: Next Big Sound was independent and then they were acquired by Pandora. I assume there is good stuff about your data. Why did Pandora acquire you and how did they see you guys improving their service? Julien: We got acquired in 2015. The thing is, Next Big Sound was already really involved in the music industry. We already had clients like the three major labels and a lot of artists were using us to get access to their social data. I think it was a very natural move for Pandora as they wanted to get closer to creators and provide better analytics tools. Brian: For people that aren’t on the service, I always like to know who are the actual end users, the people logging in, not necessarily the management, but who sits down and what are some of the things that they would do? Who would log in to Next Big Sound and why? Julien: Honestly, it’s really anyone having any involvement into the music industry, so that can be an artist, obviously, try looking to try their socials and their audience on Pandora. But you can also be a booker trying to book artists in their town. We have a product that can really be used by many different user personas. But our core right now is really artists and labels, having contents on Pandora and trying to tell them the most compelling story about what they’re doing on the platform. Brian: When you think about designs, it’s hard to design and we talk about this on the mailing list sometimes but it’s really hard to design one great thing that’s perfect for everybody so usually you have to make some choices. Do you guys favor the artist, or the label, or as you call them,the bookers or whom I know as presenters,in the performing arts industry? Do you have a sweet spot, like you favor one of those in terms of experience? Julien: I think it’s something we’re moving towards, but it hasn’t always been this way. Like I told you, we used to be a startup or grow us to make a product that could work for as many people as possible. What is funny is we used to have an entity on Next Big Sound called Next Big Book where we used to provide the same type of service for the book industry. If anything, it’s been great to join Pandora because then we could really refocus on creators and it really allowed us to, I believe, create much better and more targeted analytics tools to really fulfill needs for specific people like artists and labels. Brian: I would assume individual artists are your biggest audience or is it really heavily used by the labels or who tends to... Julien: I think it’s pretty much the same honestly. I think the great thing today is that, compared to when Next Big Sound started in 2009, we don’t need to make a point for people to care about data. Everyone cares about data today. I think that everyone has reasons to look at their dashboards and especially for a platform like Pandora with millions of users every month. Our goal is really just telling them a story about what does it mean to be spinning on the platform and the opportunities it opens. Brian: You talked about opportunities, do you have any stories about a particular artist or a label that may have learned something from your data and maybe they wrote to you or you found out like in an interview how they reacted like, “Hey, we changed our tool routing,” or, “Hey, we decided to focus on this area instead of that area.” Do you know anything about how it’s been put into use in the wild? Julien: Yeah, it’s used for so many different reasons. For the people who don’t use Pandora, something I really like about the platform is it’s really about quality. As you use Pandora, you have the opportunity to thumb up or thumb down songs and as you do, you’re going to get recommended more songs like the ones you like. It’s really about making sure that you get the best songs at all times. The reality then is that for artists, their top songs on Pandora can be pretty different than their top songs on other platforms because sometimes their friends are going to be just reacting more to some part of their catalog than another one. I’ve heard many times of artists changing their playlists in looking at which songs where their fans thumbing up the most on Pandora. Brian: Could you go through that again? How would they adjust their playlist? Julien: Usually, people use Pandora as a radio service. While we already have internet today, most people are listening to the radio because they’re usually are very targeted and it just works really well. The way it works is you can thumb up or thumb down songs. If you thumb up a song, you’re giving us a signal that this is something that you like and something you want to listen to more. That’s data that we give back to artists. We tell them, “This are your most thumbed songs on Pandora. These are the songs that people engage with the most on the platform.” Looking at this data, you can actually inform them songs that they believe they should be playing more on the store. Brian: I see. A lot of it has to do with the favoriting aspect to give them idea what’s resonating with their audiences. Julien: Qualitative feedback, yes. Brian: Got it. Actually, it’s funny you mentioned the qualitative feedback. In preparation for this, I was reading an article that you guys put out back in March about a new feature called weekly performance insights, which is really cool and this actually reminds me of something that I talked about in the Designing for Analytics mailing list, which is the act of providing qualitative guides with your analytics. A lot of times they analyze for turnout quantitative data and whenever there’s an opportunity to put stuff into context or provide qualifiers, I think that’s a really good thing and you guys look like you’ve have done some really nice things here. I’ll paraphrase it and then you can jump in and maybe give us some backstory on it. One of the things that I think is really cool is there're concepts of normalcy in here so that, if I’m an artist and I look at my numbers, I have an idea. For your Twitter mentions, for example, you say, “For artists with 26,000 followers, we expect you to get around 44 mentions.” When you show me that I have 146 mentions, I can tell that I’m substantially higher than what my social group would be. I think that’s a really fantastic concept that people not in music could try to apply as well which is, are there normalcy bans where you’d want to sit? Is there some other type of group, maybe, an industry, or apparent group, or another business unit, whatever it may be to provide some context for what these out of the blue numbers mean that don’t have any context? How did you guys come up with that and can you tell us a bit about the design process of going from maybe just showing, “You’re at 826 apples,” as compared to what? How did you move from just a number into this these kind of logical groupings where you provide the comparisons? Julien: I think what’s really fascinating is, we really live in an age of data. As an artist, you need to be on social media for the most part. There still a lot of artists I listen to but just decide not to. It’s part of things but at the same time, real big success in the music industry didn’t change. It’s still being on the Billboard chart, getting a Grammy and all these things. But as we see this, we have millions of artists looking at their data every day and just are not able to understand, like is it good or is it not good. Everyone starts at zero. We have a strong belief that data can only be useful when put in context. Looking at the number on its own can give you a sense of how things are doing but that can also be dismissive. An example is, a very common way to look at data is to look at a number and look at the percent changing comparison to the previous week. You’ve got a bunch of tables and you look at, am I growing or am I not growing. The reality is it’s actually impossible to always have a positive percent change. There’s no artist in the world that always does better week by week. Even Beyonce, I can assure you that the week she released Lemonade, she had more engagement on Twitter than the week after. With that in mind, we really try to give a way for artists to understand how are they doing for who they are and where they are currently in their career. Next Big Sound started in 2009. One of our goals was to basically check every artist in the world and give them access to these tools and by checking millions of artists, it allows us to do some very good and very specific benchmarks. For an artist, like the example you said, for instance an artist with a thousand Twitter mentions in a week, is it good or bad in comparison to their audience size? This feature comes because that’s just the question we’re asked. Artists want to know is it any good? What does this number actually mean for me? That’s why we really wanted to, in some ways, get out of being a content aggregator platform and really be a data analytics platform. How can we actually give information that can help artist make better decisions? Brian: I remember the first time I got what I would call an anomaly detection email from your service and it was about some spike in YouTube views or something like that. I thought it’s fantastic in two reasons. First of all, you identify an anomalous change and I think in this case it’s a positive anomalous change. That tells me that I should log in the tool. Secondly, you proactively delivered that to me. On the Designing for Analytics mailing list, we talk about is that user experience does not necessarily live inside your web browser interface or your hard client or whatever you’re using to show your analytics. Email and notifications are a big part of that. Can you tell me about how you guys also arrived at when you pushed these things out and maybe talk about this little anomaly detection service that you have? Julien: It all started when we got acquired by Pandora. We decided to just invite a bunch of users and just talk to them, understand how to use our product and what did they think about it. We had artists, managers, and label people come over and we just talk to them and basically they all said, “We love it.” But then, by looking at their actual usage, they don’t use it that much. I guess one of their questions was when should I be looking at my data? Everyone is very busy. As you’re an artist, you need to perform, you need to write music, you need to engage with your fans and same goes with everyone. When should I look at data? The reality is by being a data company, we do get all the data, we have all the numbers. We have ways to know when things are supposed to be known, when artists should be acting on something. We just turn this into this email notifications. Anytime we notice that an artist is doing better than expected, we just let them know right away. Brian: That’s great. Do you do it on the opposite end too? If there’s an unexpected drop or maybe like, “Oh, you put a new track out and your socials dropped,” or something like that, do you look at the negative side too or do you tend to only promote the positive changes? Julien: As far as pushes, we decided to only do push for positive. But as you mentioned weekly performance, weekly performance can give you some negative insights, like, “You’re not doing as well as artists with the same size of audience as yours.” The reason we didn’t do it for our notification is, anomalies are really hard to completely control. A reason, for instance, is Twitter removing bots. Basically, every single artist would have had an email telling them, “You lost Twitter followers this week.” It was a lot of work to really tune our anomaly factor to actually only send emails when something legitimate happens. That’s the reason we only decided so far to do it for positive but we actually have been thinking about doing the same for negative but that’s another type of work. Brian: Yeah, you’re right. You have to mature these things over time. You don’t want to be a noise generator. Julien: Exactly. Brian: Too many, then people start to ignore you. I’ve seen that with other data products I’ve worked on which just have really dumb alerting mechanisms that are very binary or they’re set at a hard threshold and just shootout noise and people just tune it out. Julien: I’m glad you mentioned this because this feature was in beta for a year for that specific reason. Brian: Got it. Julien: We had to learn the hard way. We had like a hundred beta users. We’ve got way too many emails because anytime there were an anomaly anywhere, they would just get an email. For the most part, it was things that were supposed to help them. If a notification becomes noise, then that’s absolutely against its purpose. Brian: I don’t know if everybody knows how the music business works, at least from the popular music side, but just to summarize. You have individual artists that are actually performers. They may or may not have an artist manager which takes care of their business affairs, represents them like negotiations with people that book shows. Then you have labels which are sort of like an artist manager except they’re really focused on the recording assets that the artist makes and they actually tend to own the recordings outright at the beginning and then over time, the artist may recoup through sales they make it the ownership act and the sound recordings they make. Of those kinds of three major groups, is there a one that’s particularly hungry or you’re the squeaky wheel that is most interested in what you’re doing? Julien: I really think that into these three groups, we have a subset of users that are really into the data and into the actionability of it. I don’t think it’s one specific group of user. It could be all around the industry like we have the data-savvy, they really want to know. We have some users that actually would rather get more notifications even if they need to on their end to figure what is right from what is wrong. But since we have such a wide user base of different type of people, we decided to go on the conservative side and make sure to only share things that we thoroughly validated through all of our filters. Brian: I assume that your group reports into some division of Pandora, I’m not sure of that. Are you reporting into a technology, like an IT, or a business unit, or marketing? Where do you guys fit in the Pandora world? Julien: We’re part of the creator’s tools. I don’t really have a perfect answer to this. Brian: Okay. I guess my main question being, because when we talk about designing services, we talk about both user experience, which is the end user thing and about business success or organization success. I’m curious, how does Pandora measure that Next Big Sound as delivering value? I can understand, I’m sure our artist can understand how the artists value it through understanding how is my music moving my audiences, et cetera. Is there a way that Pandora looks at it? Are they interested in just time spent? The analytics on the analytics, so to speak, is what I’m asking about. How do you guys look at it like, “Hey, this is really doing a good job,” or whatever? Do you know how that’s looked at? Julien: To be honest, I think you said it right. Our goal is to help artists make their decisions through data and having artists use the platform is currently the way Pandora sees us doing a good job. Actually, it hasn’t changed that much since our acquisition. One of our main KPI for the past and couple of years is something I would call insights consumes. Just making sure that our users, artists, anyone using Next Big Sound are consuming data. That can be them logging into the website or that can be them opening one of our notifications. But so far that was our main KPI. We’re trying to work on some more targeted KPI, potentially like actions taken, that would be the North Star, but we're still working on how to do that right. Brian: Do you guys facilitate actions, so to speak, directly in the tool or are there things people can do with those actions really take place outside of the context of Next Big Sound? Julien: There are actions that artists can take to the other creator’s tools provided by Pandora. For instance, artists have the ability to send audio messages to anyone listening to them. If they go on tour into the US, they can have targeted messages in every single song they’re going to play. If anyone listens to them there, they can just click and buy a ticket. We’re working to make sure that artists are aware of these tools because they are free and they’re generally helping them grow at their careers. But regarding external actions, so far we don’t have any one-click way to tweet at the right time to the right people or with the right content or anything like this. Brian: Sure and that’s understood. Not every analytics product is going to have a direct actionable insight that comes right out of it. You guys may be feeling a longer term picture about trending and maybe for a certain artist to get an idea if they’re releasing music fairly frequently, what stuff is working and resonating, and what stuff is not. I can understand that. There may not be a button to click as a result immediately. Julien: That’s the goal though. Everything we do right now is going towards this objective. Maybe I can tell you a little about the way we think about data and that can give more sense to it. In order to work on any new feature, we follow this concept called the data pyramid. It’s something that you can Google. There’s a Wikipedia page for it. Let me explain to you how it works. The data pyramid, it’s a pyramid formed of four layers. It could be upon each other and each representing an exquisitely useful application of data. At the bottom of the pyramid we have the data layer. Any sort of data that we may have. For our case, Android data, Twitter, Facebook just getting the numbers, getting the raw data. On top of it, we have the information layer. The information layer is going to be ways you have to visualize this data. I guess it’s like the very broad sense of analytics. We’re going to give you tables, graphs, pie charts, you name it. We’re giving you ways to craft stories about this data but it’s on you to figure it out. Then on top of it we have what we call the knowledge layer. That’s where things start to get interesting. The knowledge layer is the contextual part of it. It’s like, “What do this number actually mean?” It has industry expertise. For instance, the way we’re going to work about it for musicians and their true data may be different than any other industry. The knowledge layer goes like a weekly performance. It’s a perfect answer to it. It’s what does it mean for me as a musician with a hundred fans to get two mentions this week. Same for notifications. It’s telling you that you should be looking at your data right now because something is happening. That’s how we get to the North Star and the last part of the data pyramid which is intelligence. The goal of intelligence is actionability. Now that I get to understand what does this number mean to the specific context, what should I be doing? Following your question, everything we’re trying to do here is to get to a point where we can just send an email to an artist and tell them, “Hey, you should be doing this right now because, with all the data that we have, we believe that this is going to have the highest impact for you.” Brian: It‘s really fascinating that you just outlined this data pyramid. I actually haven’t heard of this before. It made me think of one of the kind of, it’s not a joke but in the music community, I’m also a composer and when we write stuff, the kind of running joke is like nothing is new. Your ideas for this new song or this new melody I’m composing, it probably came before you. You heard it there before. I wrote a post on my list that was pretty much exactly the same thing except the knowledge layer. I was calling that insight. Data have been this raw format and information being the first human-readable format that’s like say going from raw data to a chart, a histogram. Now I have a line on a chart and then the insight layer being, I have a line on the chart and another line comparing it to like you said, average, or my social group, or a parent group, or some taxonomy, or an index. Then the action or the prescription for what to do or the prediction those that kind of lead you in about action which would be that fourth state. You’re like, “Oh, is this really a new concept?” It’s like, “Nope. Someone else already thought of that.” I totally want to go read about this data pyramid. Julien: That’s amazing. Brian: I’ll find that link to the data pyramid and I’ll put that in the show notes for sure. I thought that was really funny. Julien: It’s funny that you called it insight because that’s the way we call a lot of our features are working out. The way we define insight is bite-size, noteworthy, sharable content. How can we get into the noise of all of the data that only gives you exactly what you should be looking at. That’s how we got into notification and weekly performances. This is the one thing you should be looking at. Brian: I understand what you’re getting at there. The insights are, like you said, bite-size chunks of interesting stats that someone can put some kind of context around. That’s great and it’s good. One of the things I liked, too, that you talked about was you said, “Oh we got like a hundred users, like a beta group and that kind of inspired some of this.” Your product response to how do we help people know when to come and look at our service. I think this is really good because one of the problems that I see with clients and people on the list, I think is low engagement. This is especially true for internal analytics companies. Low engagement can be a symptom of a difficult product, it doesn’t provide the right information at the right time, it may not have a lot of utility, or it’s a resistance to change. People have done something the old way and they don't want to do it the new way. One of the recipes you can follow if you’re trying to do a redesign or increase engagement is to involve the people that are going to use the service in the design process, both the stakeholders as well as the end customers. This is especially true again for the internal analytics people. Your customers or other employees and your colleagues. By engaging them in the design process, they’re much more likely to want to change whatever they’re doing now. I loved how you guys did some research. Now I want to ask, do you frequently do either usability testing or interviews? Is that an ongoing thing at your company or is it really just in front of a big feature release or something like that? How do you guys do this research? Can you tell me about that? Julien: Of course. It’s consent. We haven’t released any major feature without doing some heavy user testing. I’m very lucky to be working with two designers, Justin and Anabelle who are very user-focused. Honestly, if you come to our office, at least every week we’re going to have some user interview and just talking to them, showing them prototypes, and just see how do they play with it. Brian: So you’re doing a lot of testing it sounds like. That’s fantastic. Julien: At the same time it’s always to find the right balance because you could be overtesting things too. We really are focusing on user testing for new things and make sure that the future that we are working on actually answers their user story that we intended. Brian: I don’t know how involved you get participating in these, but do you have any interesting stories or anecdotes that you got from one of those that you could share? Julien: Let me think. I do participate into a lot of them but I’m not sure I have an example right now. Brian: Are most of the people you interview, are they current users of Next Big Sound or do you tend to focus on maybe artists that haven’t experienced the service yet or you mix it up? Julien: We mix it up. We mostly engage with users that we already have but then we can decide to go with users that haven’t used the platform for a while, or more active users if you want to understand how we’re useful into their day to day. What I would say is that, surprisingly, it’s very easy to get users to chat about their experience with the product. I didn’t assume that we would get so many responses when we tried to have people come over or just hop on the zoom to check a new feature. Brian: I’m glad you actually mentioned that because I think in some places, recruiting is perceived to be difficult and it probably isn’t. Maybe you haven’t done it before but as I tell a lot of my clients, a lot of people love to have someone listen to them talk, tell them all about their life and what’s wrong with it, and how it could be better with their tools. They love having someone listen to them and especially if they know that their feedback is going to influence a tool or a service that they’re using. They tend to be pretty engaged with it. I find it’s really rare that I do an interview with a client’s customer and they don’t want to be included in the future round like, “Hey, when we redesign the service, can we come back to you and show you what we’ve done?” “Oh, I love to do that!” Everybody wants to get engaged with it. There are places where recruiting can be difficult when it’s hard to access the users, some of the enterprise software space that can be an issue sometimes. But generally, if you can get access to them, they tend to be pretty willing to participate. I’m glad you mentioned that. Julien: I think the great part about testing with current users on the platform is to actually show them prototypes with real data, not just show them an abstract idea that we want to work on. As soon as they can see what we’re working on apply to their own career as musicians, for instance, that can lead to fascinating discussions. Brian: You made a really good point on the real data thing. I remember as far back as 10 years ago or whenever, I use to work at Fidelity Investments, we would see this issue when we’re working on the retail site for investors. When you show a portfolio that, for example, has Apple stock trading at $22 in it, you’re not really there to test what is the price of Apple stock but you might be testing something entirely different and the customer cannot bear what is going on? They’re so stuck on this thing. It’s all fake seed data in the prototype. The story here being if you’re a listener, when you test it’s important to have at least realistic data. You don’t want to have noise in the test or whatever your studying or else you can end up on this tangent. Try to make the numbers looks somewhat realistic if you’re using quantitative data. In some cases, people can be taught to roleplay. Pretend you’re Drake or pretend you’re some big artist and then they can get their head around why they have billions of streams instead of thousands which they’re used to. Julien: Absolutely. That also helps us just build better products because the reality is we have a lot of artists with maybe 10 plays in a month. As we build visualizations like something that we built a line of looking at Drake’s data, it’s not going to work as intended for a smaller artist sometimes. Having real data involved as soon as possible into the design process has been such a game changer for us. We really have a multidisciplinary team involved into the research and design of everything we do. I’m working with a data scientist, data engineer, a web engineer, and designer on a daily basis. Obviously, we all have our things to do. But as we get into creating something new, we just make sure to have someone helping us get the real data, interview the right user, and just create prototypes as soon as possible. Working with prototypes is essential into building useful data analytics tools. Brian: Yes, you do learn a lot more with a working prototype. It’s not to say you can’t test with lower fidelity goods, especially early on but for a service like yours when the range of possible use both the personas and also you’ve got the Drakes of the world, big major label artist and then down to really small independents, it’s really important to have an idea how your charts are going to scale, and what’s going to happen with data. Even just small stuff like how many decimal points should you be showing on a mobile device, some of the numbers might cram up. Julien: Exactly. Brian: All this stuff that you never think, if you only look at one version of everything, you can end up with a mess. I’m glad that you brought that up. Julien: I couldn’t say better. The decimal is actually something that we’ve had to discover through real data. Brian: To all of you in the technical people out there, I will say this. If I’ve seen one trend with engineers, is they love precision and there’s a lot of times when there’s very unnecessary precision being added to numbers. Such as charts and histograms. Histograms are usually about the trend, they’re not about identifying what was the precise value on this date at this time. It’s about the change over time. Showing what’s my portfolio worth down to three digits of micro-cents or something like that is just unnecessary detail. You can probably just round up to the dollar or even hundreds of dollars or even thousands of dollars in some cases. It actually is worse. The reason it’s worse is that adds unnecessary noise to the interface, you’re providing all these inks that someone has to mentally process, and it’s actually not really meaningful ink because the change is what’s important. Think about precision when you’re printing values. Julien: This concept of noise is so essential today for any data analytics tools. There is so much data today. There is data for everything. I think it’s our responsibility as a data analytics company to make sure what are we actually trying to help our user with this data set is not just about adding new metrics. Adding new metrics usually is just going to add noise and not be helpful in comparison to fairing what do they need to make the right decision. Brian: Right. Complexity obviously goes up. The single verb, ‘add,’ as soon as you do that, you’re generally adding complexity. One of the design tools that is not used a lot, and this is something I try to help clients with is, what can we take away? If we're not going to cut it out entirely, can we move this feature, maybe this comparison to a different level of detail? Maybe it’s hidden behind a button click, or it’s not the default. But removing some stuff is a way to obviously simplify as well, especially if you do need to add new things. Your only weapon is not the pencil, you’ve got the eraser as well in the battle so to speak. Julien: I couldn’t agree more. On Next Big Sound we have this concept of artist stages. It’s a way for us to put artist into buckets and by looking at their social instrument data. It goes from undiscovered to epic. We do that by looking at all of the data we have and looking at it in context. I don’t have the numbers right now because they update on a daily basis but every artist starts undiscovered. For instance, as they get 1000 Facebook likes, maybe they’re going to get to a promising stage. We have all of these thresholds moving everyday looking at trends among social services. But what is interesting is that for instance, for a booker, a booker doesn’t need to look at the exact number of Twitter followers for an artist. He needs to know that he’s booking for a midsized venue in the city he’s in and he’s probably going to be looking for promising to established artists and not looking for the mainstream to epic artists. It’s always about figuring a way to use the numbers to tell the story. Brian: I’m totally selfishly asking for myself here, but I was immediately curious. I live in Cambridge which is in the Boston area, and I am curious who are the big artists in our area and what is the concentration? I’m in a niche. I’m more in the performing arts market, in the jazz, in world music, and classical music but I’m just curious. Is there a way to look at it by the city and know what your artist community looks like? You guys do anything like that? Julien: We don’t currently. But I think YouTube has actually a C-level chart available. It’s not part of something we do because I think the users it would benefit are not the users we specifically try to work on new features. It’s more something for bookers than artists ,specifically ,but it’s exactly the type of thing that we need to think about when we prioritize new features. Brian: I’m curious just because the topic’s fairly hot. Everybody is trying to do machine learning projects these days. I don’t like the term AI because it tends to be a little bit overloaded but are you guys using machine learning to accomplish any particular problems or add any new value to your service right now? Is that on your horizon? Julien: How do you think about machine learning? Brian: A lot of times I associate it with predictive analytics or understanding where you might be running instead of just using statistics. I don’t know what kind of data you might have for your learning that you can feed in but maybe there’s aspects about artists that can predict. Especially, I would think like in the pop music world where there tends to be more commercialization of the music, I would say, where it’s like we need a two-minute dance track at this tempo specifically because DJs are going to play it. It’s a very commercial thing. It’s very different than what I’m used to. So I’m curious if there’s a way to predict out how an artist may do or what kinds of tracks are performing well. Like these tempo songs, we predict over the next six months that tech house music at 160 beats for a minute is going to do really well based on the trending. I don’t know. I’m throwing stuff out there. The goal, obviously, is not to try to use like, “Oh Home Depot has this new hammer, let’s run out and get it. We don’t even know what it’s for but everyone else is buying it.” That’s how I joke about machine learning. It’s like you need to have a problem that necessitates that particular tool. I don’t ask such that, “Oh there should be some.” I’m more curious as to whether or not it’s a tool that you guys are leveraging at this time. Julien: The Next Big Sound team doesn’t worked on features following the musical aspects of things. We really are focused on the user data. Brian: Engagement and social. Julien: Engagement data mostly, yes. But at the same time, I’m sure teams have worked on this because of the way that genome works. We have a lot of data about the way songs are made. Regarding machine learning, on the Next Big Song team, we actually have something that is called the prediction chart. You said predictions. We have this chart that is available every week. Basically, it really goes back to having data for a long time. The fact that we’ve had data since 2009, we’ve been able to see artists actually get from starting to charting on the Billboard 200. By having all of these data, we’ve been able to see some trends, some things that usually happen for artists at specific times in their career up until they get into the Billboard 200. We actually do have some algorithms that allow us to apply this learning to all of the artists on Next Big Sound right now and have a list every week of artist that we believe are most likely to appear on the Billboard 200 chart next year. Brian: I see. Got it. Do you track your accuracy rate on that internally and change it over time? Do you adjust the model? Julien: Yeah, we do. Brian: Cool That’s really neat. Tell me, this chat has been super fun. I’ve selfishly got a little indulgent because being a musician, it’s fun to talk about these two worlds that I’m really passionate about so I could go on forever with you about this. But I’m curious. Do you have any advice for other product managers or analytics practitioners about how to design good data products and services? How to make either your own organization happy or your customers happy? Do you have any advice to them? Julien: Yeah, of course. I guess it’s all about asking questions, honestly. What is very good with working at Next Big Sound is that it all started in 2009. Maybe actually I can go back and tell you the story about how it started and why it’s so different today. It started in 2009. It was actually a project, a university project by the three co-founders. Basically, they were wondering about one thing. How many plays does a major artist get on the biggest music platform in the world? At that time, it was MySpace. The artist they picked was Akon. Basically, they just built a crawler, went to bed, woke up, and discovered that an artist like Akon was getting 500,000 plays on MySpace in one night in 2009. The challenge in 2009 was to get the data. That’s why for the most part in Next Big Sound as it started was, I really think a data aggregation tool. Our goal was to get as many sources as possible and just make them easily accessible into the same place. We really are much into the information layer here. We’re giving you all the numbers and you can compare Tumblr to Vimeo, to YouTube, to Twitter, to Facebook, to Vine, to you name it into a table or a graph that you want to. The reality is, today things change. We don't need to fight to get data anymore. We don’t need to hike our way into getting the numbers. Now, data is accessible to everyone in a very easy way. It’s kind of a contract. You, by being an artist, you know you’re going to get access to your Spotify, YouTube, Pandora, Apple Music or any other platform data very easily just by signing up and authenticating as an artist. That’s where our goal changes. Thankfully, we don’t need to convince people to care about data, we know they do already. But now the challenge is different. Now, the challenge is to make them understand what does their data mean and how can they turn it into getting even more data, getting into having even more engagement, and having even more plays. I think that’s something that is very interesting because it really resonates into the question we’ve been asked in the past few years like, “What does my data mean and when should I be looking at my data?” If anything, these two things correlated pretty well. People don’t just want to look at numbers anymore, they want to be able to use numbers to make decisions. That’s the core of what we’re trying to achieve today. We couldn’t be there if we didn’t have users that ask us the right questions. Brian: Cool that’s really insightful. Just to maybe tie it off at the end and maybe you can’t share this but what’s your home run? What is your holy grail look like? Is there a place you guys know you want to get? Maybe it’s the lack of data or you don’t have access to the data in order to provide that service. Do you guys have kind of a picture of where it is you want to take the service? Julien: What is very noble about our goal at Next Big Sound specifically is we’re here to help artists. The North Star would be to make sure that any artist at any time in their career is doing everything they can do to play more shows, to reach to more people, and to make sure their music is heard. Brian: Nice. I guess it’s like you’re already there, just maybe the level of quality and improving that experience over time, that’s your goal. It’s not so much that there’s so much unobtainable thing at this moment. Is that kind of how you see it? Julien: I think the more we don’t feel just a data analytics tool, the more we’re getting to that goal. I really hope we get to a point where people don’t need to be data analysts to look at data. We’re always going to provide a very customizable tool for the data-savvy because they know what they need more than we can ever do it for them. We want to make sure that for everyone else, we can just make it very easy and as simple as a click for them to do something that’s going to impact them positively. Brian: Cool, man. This has been really exciting to have you on the show. Julien, can you tell the listeners where can they find you on the interwebs? Are you on Twitter or LinkedIn? How do they find you? Julien: For sure. @julienbenatar on Twitter, nextbigsound.com is free for everyone. Actually, we made our data public recently, so if you ever want to learn more about what we do, please check it out. We try to post on our blog about what we learn through data science, through design, and share more about why we build what we build. I recommend to just check blog and do some commitment to learn more about what we do. Brian: I definitely recommend people check out the site. The fun thing is again, as you said, it’s public. If there’s a band you like or whatever, you can type in any group that you like to listen to and you can get access to those insights. Just kind of get a flavor of what the service does. I’ll put those links in the show notes as well as the data pyramid. Julien, cool. Thanks for coming on. Is there anything else do you like to add before we wrap it up? Julien: No, thank you so much. I love reading your newsletters and I’m very happy to be here. Brian: Cool. Thank you so much. Let’s do it again. Julien: Cool. Brian: Cool. Thank you. We hope you enjoyed this episode of Experiencing Data with Brian O’Neill. If you did enjoy it, please consider sharing it with #experiencingdata. To get future podcast updates or to subscribe to Brian’s mailing list where he shares his insights on designing valuable enterprise data products and applications, visit designingforanalytics.com/podcast. Never forget to look up the online HTML CheatSheet when you forget how to write an image, a table or an iframe or any other tag in HTML!

Experiencing Data with Brian O'Neill
006 – Julien Benatar (PM for Pandora’s data service, Next Big Sound) on analytics for musicians, record labels and performing artists

Experiencing Data with Brian O'Neill

Play Episode Listen Later Feb 12, 2019 45:01


We’re back with a special music-related analytics episode! Following Next Big Sound’s acquisition by Pandora, Julien Benatar moved from engineering into product management and is now responsible for the company’s analytics applications in the Creator Tools division. He and his team of engineers, data scientists and designers provide insights on how artists are performing on Pandora and how they can effectively grow their audience. This was a particularly fun interview for me since I have music playing on Pandora and occasionally use Next Big Sound’s analytics myself. Julien and I discussed: How Julien’s team accounts for designing for a huge range of customers (artists) that have wildly different popularity, song plays, and followers How the service generates benchmark values in order to make analytics more useful to artists How email notifications can be useful or counter-productive in analytics services How Julien thinks about the Data Pyramid when building out their platform Having a “North Star” and driving analytics toward customer action The types of predictive analytics Next Big Sound is doing Resources and Links: Julien Benatar on Twitter Next Big Sound website Next Big Sound blog The Data Pyramid model Quotes from Julien Benatar “I really hope we get to a point where people don’t need to be data analysts to look at data.” “People don’t just want to look at numbers anymore, they want to be able to use numbers to make decisions.” “One of our goals was to basically check every artist in the world and give them access to these tools and by checking millions of artists, it allows us to do some very good and very specific benchmarks” “The way it works is you can thumb up or thumb down songs. If you thumb up a song, you’re giving us a signal that this is something that you like and something you want to listen to more. That’s data that we give back to artists.” “I think the great thing today is that, compared to when Next Big Sound started in 2009, we don’t need to make a point for people to care about data. Everyone cares about data today.” Episode Transcript Brian: I’m really excited today for this episode. We have Julien Benatar on the show and he’s from a company that I’m sure a lot of people here know. You probably have had headphones on at your desk, at home, or wherever you are listening to Pandora for music. Julien , correct me if I’m wrong, you were the product manager for artist tools and insights at Next Big Sound, which is a type of data product that provides information on music listening stats to, I assume, artists’ labels as well to help them understand where their fans are and social media engagement. I love this topic. I’m also a musician, I have a profile on Next Big Sound and I feel music’s a fun way to talk about analytics and design as well because everybody can relate to the content and the domain. Welcome to the show. Did I get all that correct? Julien: Yeah, it was perfect. Brian: Cool. Tell us a little about your background. You’re from France originally? Julien: Yes, exactly. I grew up next to Paris, in Versailles more specifically, and moved to New York in 2014 to join Next Big Sound. Brian: Cool, nice. You’ve been there for about four years, something like that. You have a software engineering background and then now you’re on the product side, is that right? Julien: Exactly yes. I joined the company back when we were a startup. Software engineering was perfect, there was so much to do. To our move to Pandora, I moved to a product manager role around a year ago. Brian: Next Big Sound was independent and then they were acquired by Pandora. I assume there is good stuff about your data. Why did Pandora acquire you and how did they see you guys improving their service? Julien: We got acquired in 2015. The thing is, Next Big Sound was already really involved in the music industry. We already had clients like the three major labels and a lot of artists were using us to get access to their social data. I think it was a very natural move for Pandora as they wanted to get closer to creators and provide better analytics tools. Brian: For people that aren’t on the service, I always like to know who are the actual end users, the people logging in, not necessarily the management, but who sits down and what are some of the things that they would do? Who would log in to Next Big Sound and why? Julien: Honestly, it’s really anyone having any involvement into the music industry, so that can be an artist, obviously, try looking to try their socials and their audience on Pandora. But you can also be a booker trying to book artists in their town. We have a product that can really be used by many different user personas. But our core right now is really artists and labels, having contents on Pandora and trying to tell them the most compelling story about what they’re doing on the platform. Brian: When you think about designs, it’s hard to design and we talk about this on the mailing list sometimes but it’s really hard to design one great thing that’s perfect for everybody so usually you have to make some choices. Do you guys favor the artist, or the label, or as you call them,the bookers or whom I know as presenters,in the performing arts industry? Do you have a sweet spot, like you favor one of those in terms of experience? Julien: I think it’s something we’re moving towards, but it hasn’t always been this way. Like I told you, we used to be a startup or grow us to make a product that could work for as many people as possible. What is funny is we used to have an entity on Next Big Sound called Next Big Book where we used to provide the same type of service for the book industry. If anything, it’s been great to join Pandora because then we could really refocus on creators and it really allowed us to, I believe, create much better and more targeted analytics tools to really fulfill needs for specific people like artists and labels. Brian: I would assume individual artists are your biggest audience or is it really heavily used by the labels or who tends to… Julien: I think it’s pretty much the same honestly. I think the great thing today is that, compared to when Next Big Sound started in 2009, we don’t need to make a point for people to care about data. Everyone cares about data today. I think that everyone has reasons to look at their dashboards and especially for a platform like Pandora with millions of users every month. Our goal is really just telling them a story about what does it mean to be spinning on the platform and the opportunities it opens. Brian: You talked about opportunities, do you have any stories about a particular artist or a label that may have learned something from your data and maybe they wrote to you or you found out like in an interview how they reacted like, “Hey, we changed our tool routing,” or, “Hey, we decided to focus on this area instead of that area.” Do you know anything about how it’s been put into use in the wild? Julien: Yeah, it’s used for so many different reasons. For the people who don’t use Pandora, something I really like about the platform is it’s really about quality. As you use Pandora, you have the opportunity to thumb up or thumb down songs and as you do, you’re going to get recommended more songs like the ones you like. It’s really about making sure that you get the best songs at all times. The reality then is that for artists, their top songs on Pandora can be pretty different than their top songs on other platforms because sometimes their friends are going to be just reacting more to some part of their catalog than another one. I’ve heard many times of artists changing their playlists in looking at which songs where their fans thumbing up the most on Pandora. Brian: Could you go through that again? How would they adjust their playlist? Julien: Usually, people use Pandora as a radio service. While we already have internet today, most people are listening to the radio because they’re usually are very targeted and it just works really well. The way it works is you can thumb up or thumb down songs. If you thumb up a song, you’re giving us a signal that this is something that you like and something you want to listen to more. That’s data that we give back to artists. We tell them, “This are your most thumbed songs on Pandora. These are the songs that people engage with the most on the platform.” Looking at this data, you can actually inform them songs that they believe they should be playing more on the store. Brian: I see. A lot of it has to do with the favoriting aspect to give them idea what’s resonating with their audiences. Julien: Qualitative feedback, yes. Brian: Got it. Actually, it’s funny you mentioned the qualitative feedback. In preparation for this, I was reading an article that you guys put out back in March about a new feature called weekly performance insights, which is really cool and this actually reminds me of something that I talked about in the Designing for Analytics mailing list, which is the act of providing qualitative guides with your analytics. A lot of times they analyze for turnout quantitative data and whenever there’s an opportunity to put stuff into context or provide qualifiers, I think that’s a really good thing and you guys look like you’ve have done some really nice things here. I’ll paraphrase it and then you can jump in and maybe give us some backstory on it. One of the things that I think is really cool is there’re concepts of normalcy in here so that, if I’m an artist and I look at my numbers, I have an idea. For your Twitter mentions, for example, you say, “For artists with 26,000 followers, we expect you to get around 44 mentions.” When you show me that I have 146 mentions, I can tell that I’m substantially higher than what my social group would be. I think that’s a really fantastic concept that people not in music could try to apply as well which is, are there normalcy bans where you’d want to sit? Is there some other type of group, maybe, an industry, or apparent group, or another business unit, whatever it may be to provide some context for what these out of the blue numbers mean that don’t have any context? How did you guys come up with that and can you tell us a bit about the design process of going from maybe just showing, “You’re at 826 apples,” as compared to what? How did you move from just a number into this these kind of logical groupings where you provide the comparisons? Julien: I think what’s really fascinating is, we really live in an age of data. As an artist, you need to be on social media for the most part. There still a lot of artists I listen to but just decide not to. It’s part of things but at the same time, real big success in the music industry didn’t change. It’s still being on the Billboard chart, getting a Grammy and all these things. But as we see this, we have millions of artists looking at their data every day and just are not able to understand, like is it good or is it not good. Everyone starts at zero. We have a strong belief that data can only be useful when put in context. Looking at the number on its own can give you a sense of how things are doing but that can also be dismissive. An example is, a very common way to look at data is to look at a number and look at the percent changing comparison to the previous week. You’ve got a bunch of tables and you look at, am I growing or am I not growing. The reality is it’s actually impossible to always have a positive percent change. There’s no artist in the world that always does better week by week. Even Beyonce, I can assure you that the week she released Lemonade, she had more engagement on Twitter than the week after. With that in mind, we really try to give a way for artists to understand how are they doing for who they are and where they are currently in their career. Next Big Sound started in 2009. One of our goals was to basically check every artist in the world and give them access to these tools and by checking millions of artists, it allows us to do some very good and very specific benchmarks. For an artist, like the example you said, for instance an artist with a thousand Twitter mentions in a week, is it good or bad in comparison to their audience size? This feature comes because that’s just the question we’re asked. Artists want to know is it any good? What does this number actually mean for me? That’s why we really wanted to, in some ways, get out of being a content aggregator platform and really be a data analytics platform. How can we actually give information that can help artist make better decisions? Brian: I remember the first time I got what I would call an anomaly detection email from your service and it was about some spike in YouTube views or something like that. I thought it’s fantastic in two reasons. First of all, you identify an anomalous change and I think in this case it’s a positive anomalous change. That tells me that I should log in the tool. Secondly, you proactively delivered that to me. On the Designing for Analytics mailing list, we talk about is that user experience does not necessarily live inside your web browser interface or your hard client or whatever you’re using to show your analytics. Email and notifications are a big part of that. Can you tell me about how you guys also arrived at when you pushed these things out and maybe talk about this little anomaly detection service that you have? Julien: It all started when we got acquired by Pandora. We decided to just invite a bunch of users and just talk to them, understand how to use our product and what did they think about it. We had artists, managers, and label people come over and we just talk to them and basically they all said, “We love it.” But then, by looking at their actual usage, they don’t use it that much. I guess one of their questions was when should I be looking at my data? Everyone is very busy. As you’re an artist, you need to perform, you need to write music, you need to engage with your fans and same goes with everyone. When should I look at data? The reality is by being a data company, we do get all the data, we have all the numbers. We have ways to know when things are supposed to be known, when artists should be acting on something. We just turn this into this email notifications. Anytime we notice that an artist is doing better than expected, we just let them know right away. Brian: That’s great. Do you do it on the opposite end too? If there’s an unexpected drop or maybe like, “Oh, you put a new track out and your socials dropped,” or something like that, do you look at the negative side too or do you tend to only promote the positive changes? Julien: As far as pushes, we decided to only do push for positive. But as you mentioned weekly performance, weekly performance can give you some negative insights, like, “You’re not doing as well as artists with the same size of audience as yours.” The reason we didn’t do it for our notification is, anomalies are really hard to completely control. A reason, for instance, is Twitter removing bots. Basically, every single artist would have had an email telling them, “You lost Twitter followers this week.” It was a lot of work to really tune our anomaly factor to actually only send emails when something legitimate happens. That’s the reason we only decided so far to do it for positive but we actually have been thinking about doing the same for negative but that’s another type of work. Brian: Yeah, you’re right. You have to mature these things over time. You don’t want to be a noise generator. Julien: Exactly. Brian: Too many, then people start to ignore you. I’ve seen that with other data products I’ve worked on which just have really dumb alerting mechanisms that are very binary or they’re set at a hard threshold and just shootout noise and people just tune it out. Julien: I’m glad you mentioned this because this feature was in beta for a year for that specific reason. Brian: Got it. Julien: We had to learn the hard way. We had like a hundred beta users. We’ve got way too many emails because anytime there were an anomaly anywhere, they would just get an email. For the most part, it was things that were supposed to help them. If a notification becomes noise, then that’s absolutely against its purpose. Brian: I don’t know if everybody knows how the music business works, at least from the popular music side, but just to summarize. You have individual artists that are actually performers. They may or may not have an artist manager which takes care of their business affairs, represents them like negotiations with people that book shows. Then you have labels which are sort of like an artist manager except they’re really focused on the recording assets that the artist makes and they actually tend to own the recordings outright at the beginning and then over time, the artist may recoup through sales they make it the ownership act and the sound recordings they make. Of those kinds of three major groups, is there a one that’s particularly hungry or you’re the squeaky wheel that is most interested in what you’re doing? Julien: I really think that into these three groups, we have a subset of users that are really into the data and into the actionability of it. I don’t think it’s one specific group of user. It could be all around the industry like we have the data-savvy, they really want to know. We have some users that actually would rather get more notifications even if they need to on their end to figure what is right from what is wrong. But since we have such a wide user base of different type of people, we decided to go on the conservative side and make sure to only share things that we thoroughly validated through all of our filters. Brian: I assume that your group reports into some division of Pandora, I’m not sure of that. Are you reporting into a technology, like an IT, or a business unit, or marketing? Where do you guys fit in the Pandora world? Julien: We’re part of the creator’s tools. I don’t really have a perfect answer to this. Brian: Okay. I guess my main question being, because when we talk about designing services, we talk about both user experience, which is the end user thing and about business success or organization success. I’m curious, how does Pandora measure that Next Big Sound as delivering value? I can understand, I’m sure our artist can understand how the artists value it through understanding how is my music moving my audiences, et cetera. Is there a way that Pandora looks at it? Are they interested in just time spent? The analytics on the analytics, so to speak, is what I’m asking about. How do you guys look at it like, “Hey, this is really doing a good job,” or whatever? Do you know how that’s looked at? Julien: To be honest, I think you said it right. Our goal is to help artists make their decisions through data and having artists use the platform is currently the way Pandora sees us doing a good job. Actually, it hasn’t changed that much since our acquisition. One of our main KPI for the past and couple of years is something I would call insights consumes. Just making sure that our users, artists, anyone using Next Big Sound are consuming data. That can be them logging into the website or that can be them opening one of our notifications. But so far that was our main KPI. We’re trying to work on some more targeted KPI, potentially like actions taken, that would be the North Star, but we’re still working on how to do that right. Brian: Do you guys facilitate actions, so to speak, directly in the tool or are there things people can do with those actions really take place outside of the context of Next Big Sound? Julien: There are actions that artists can take to the other creator’s tools provided by Pandora. For instance, artists have the ability to send audio messages to anyone listening to them. If they go on tour into the US, they can have targeted messages in every single song they’re going to play. If anyone listens to them there, they can just click and buy a ticket. We’re working to make sure that artists are aware of these tools because they are free and they’re generally helping them grow at their careers. But regarding external actions, so far we don’t have any one-click way to tweet at the right time to the right people or with the right content or anything like this. Brian: Sure and that’s understood. Not every analytics product is going to have a direct actionable insight that comes right out of it. You guys may be feeling a longer term picture about trending and maybe for a certain artist to get an idea if they’re releasing music fairly frequently, what stuff is working and resonating, and what stuff is not. I can understand that. There may not be a button to click as a result immediately. Julien: That’s the goal though. Everything we do right now is going towards this objective. Maybe I can tell you a little about the way we think about data and that can give more sense to it. In order to work on any new feature, we follow this concept called the data pyramid. It’s something that you can Google. There’s a Wikipedia page for it. Let me explain to you how it works. The data pyramid, it’s a pyramid formed of four layers. It could be upon each other and each representing an exquisitely useful application of data. At the bottom of the pyramid we have the data layer. Any sort of data that we may have. For our case, Android data, Twitter, Facebook just getting the numbers, getting the raw data. On top of it, we have the information layer. The information layer is going to be ways you have to visualize this data. I guess it’s like the very broad sense of analytics. We’re going to give you tables, graphs, pie charts, you name it. We’re giving you ways to craft stories about this data but it’s on you to figure it out. Then on top of it we have what we call the knowledge layer. That’s where things start to get interesting. The knowledge layer is the contextual part of it. It’s like, “What do this number actually mean?” It has industry expertise. For instance, the way we’re going to work about it for musicians and their true data may be different than any other industry. The knowledge layer goes like a weekly performance. It’s a perfect answer to it. It’s what does it mean for me as a musician with a hundred fans to get two mentions this week. Same for notifications. It’s telling you that you should be looking at your data right now because something is happening. That’s how we get to the North Star and the last part of the data pyramid which is intelligence. The goal of intelligence is actionability. Now that I get to understand what does this number mean to the specific context, what should I be doing? Following your question, everything we’re trying to do here is to get to a point where we can just send an email to an artist and tell them, “Hey, you should be doing this right now because, with all the data that we have, we believe that this is going to have the highest impact for you.” Brian: It‘s really fascinating that you just outlined this data pyramid. I actually haven’t heard of this before. It made me think of one of the kind of, it’s not a joke but in the music community, I’m also a composer and when we write stuff, the kind of running joke is like nothing is new. Your ideas for this new song or this new melody I’m composing, it probably came before you. You heard it there before. I wrote a post on my list that was pretty much exactly the same thing except the knowledge layer. I was calling that insight. Data have been this raw format and information being the first human-readable format that’s like say going from raw data to a chart, a histogram. Now I have a line on a chart and then the insight layer being, I have a line on the chart and another line comparing it to like you said, average, or my social group, or a parent group, or some taxonomy, or an index. Then the action or the prescription for what to do or the prediction those that kind of lead you in about action which would be that fourth state. You’re like, “Oh, is this really a new concept?” It’s like, “Nope. Someone else already thought of that.” I totally want to go read about this data pyramid. Julien: That’s amazing. Brian: I’ll find that link to the data pyramid and I’ll put that in the show notes for sure. I thought that was really funny. Julien: It’s funny that you called it insight because that’s the way we call a lot of our features are working out. The way we define insight is bite-size, noteworthy, sharable content. How can we get into the noise of all of the data that only gives you exactly what you should be looking at. That’s how we got into notification and weekly performances. This is the one thing you should be looking at. Brian: I understand what you’re getting at there. The insights are, like you said, bite-size chunks of interesting stats that someone can put some kind of context around. That’s great and it’s good. One of the things I liked, too, that you talked about was you said, “Oh we got like a hundred users, like a beta group and that kind of inspired some of this.” Your product response to how do we help people know when to come and look at our service. I think this is really good because one of the problems that I see with clients and people on the list, I think is low engagement. This is especially true for internal analytics companies. Low engagement can be a symptom of a difficult product, it doesn’t provide the right information at the right time, it may not have a lot of utility, or it’s a resistance to change. People have done something the old way and they don’t want to do it the new way. One of the recipes you can follow if you’re trying to do a redesign or increase engagement is to involve the people that are going to use the service in the design process, both the stakeholders as well as the end customers. This is especially true again for the internal analytics people. Your customers or other employees and your colleagues. By engaging them in the design process, they’re much more likely to want to change whatever they’re doing now. I loved how you guys did some research. Now I want to ask, do you frequently do either usability testing or interviews? Is that an ongoing thing at your company or is it really just in front of a big feature release or something like that? How do you guys do this research? Can you tell me about that? Julien: Of course. It’s consent. We haven’t released any major feature without doing some heavy user testing. I’m very lucky to be working with two designers, Justin and Anabelle who are very user-focused. Honestly, if you come to our office, at least every week we’re going to have some user interview and just talking to them, showing them prototypes, and just see how do they play with it. Brian: So you’re doing a lot of testing it sounds like. That’s fantastic. Julien: At the same time it’s always to find the right balance because you could be overtesting things too. We really are focusing on user testing for new things and make sure that the future that we are working on actually answers their user story that we intended. Brian: I don’t know how involved you get participating in these, but do you have any interesting stories or anecdotes that you got from one of those that you could share? Julien: Let me think. I do participate into a lot of them but I’m not sure I have an example right now. Brian: Are most of the people you interview, are they current users of Next Big Sound or do you tend to focus on maybe artists that haven’t experienced the service yet or you mix it up? Julien: We mix it up. We mostly engage with users that we already have but then we can decide to go with users that haven’t used the platform for a while, or more active users if you want to understand how we’re useful into their day to day. What I would say is that, surprisingly, it’s very easy to get users to chat about their experience with the product. I didn’t assume that we would get so many responses when we tried to have people come over or just hop on the zoom to check a new feature. Brian: I’m glad you actually mentioned that because I think in some places, recruiting is perceived to be difficult and it probably isn’t. Maybe you haven’t done it before but as I tell a lot of my clients, a lot of people love to have someone listen to them talk, tell them all about their life and what’s wrong with it, and how it could be better with their tools. They love having someone listen to them and especially if they know that their feedback is going to influence a tool or a service that they’re using. They tend to be pretty engaged with it. I find it’s really rare that I do an interview with a client’s customer and they don’t want to be included in the future round like, “Hey, when we redesign the service, can we come back to you and show you what we’ve done?” “Oh, I love to do that!” Everybody wants to get engaged with it. There are places where recruiting can be difficult when it’s hard to access the users, some of the enterprise software space that can be an issue sometimes. But generally, if you can get access to them, they tend to be pretty willing to participate. I’m glad you mentioned that. Julien: I think the great part about testing with current users on the platform is to actually show them prototypes with real data, not just show them an abstract idea that we want to work on. As soon as they can see what we’re working on apply to their own career as musicians, for instance, that can lead to fascinating discussions. Brian: You made a really good point on the real data thing. I remember as far back as 10 years ago or whenever, I use to work at Fidelity Investments, we would see this issue when we’re working on the retail site for investors. When you show a portfolio that, for example, has Apple stock trading at $22 in it, you’re not really there to test what is the price of Apple stock but you might be testing something entirely different and the customer cannot bear what is going on? They’re so stuck on this thing. It’s all fake seed data in the prototype. The story here being if you’re a listener, when you test it’s important to have at least realistic data. You don’t want to have noise in the test or whatever your studying or else you can end up on this tangent. Try to make the numbers looks somewhat realistic if you’re using quantitative data. In some cases, people can be taught to roleplay. Pretend you’re Drake or pretend you’re some big artist and then they can get their head around why they have billions of streams instead of thousands which they’re used to. Julien: Absolutely. That also helps us just build better products because the reality is we have a lot of artists with maybe 10 plays in a month. As we build visualizations like something that we built a line of looking at Drake’s data, it’s not going to work as intended for a smaller artist sometimes. Having real data involved as soon as possible into the design process has been such a game changer for us. We really have a multidisciplinary team involved into the research and design of everything we do. I’m working with a data scientist, data engineer, a web engineer, and designer on a daily basis. Obviously, we all have our things to do. But as we get into creating something new, we just make sure to have someone helping us get the real data, interview the right user, and just create prototypes as soon as possible. Working with prototypes is essential into building useful data analytics tools. Brian: Yes, you do learn a lot more with a working prototype. It’s not to say you can’t test with lower fidelity goods, especially early on but for a service like yours when the range of possible use both the personas and also you’ve got the Drakes of the world, big major label artist and then down to really small independents, it’s really important to have an idea how your charts are going to scale, and what’s going to happen with data. Even just small stuff like how many decimal points should you be showing on a mobile device, some of the numbers might cram up. Julien: Exactly. Brian: All this stuff that you never think, if you only look at one version of everything, you can end up with a mess. I’m glad that you brought that up. Julien: I couldn’t say better. The decimal is actually something that we’ve had to discover through real data. Brian: To all of you in the technical people out there, I will say this. If I’ve seen one trend with engineers, is they love precision and there’s a lot of times when there’s very unnecessary precision being added to numbers. Such as charts and histograms. Histograms are usually about the trend, they’re not about identifying what was the precise value on this date at this time. It’s about the change over time. Showing what’s my portfolio worth down to three digits of micro-cents or something like that is just unnecessary detail. You can probably just round up to the dollar or even hundreds of dollars or even thousands of dollars in some cases. It actually is worse. The reason it’s worse is that adds unnecessary noise to the interface, you’re providing all these inks that someone has to mentally process, and it’s actually not really meaningful ink because the change is what’s important. Think about precision when you’re printing values. Julien: This concept of noise is so essential today for any data analytics tools. There is so much data today. There is data for everything. I think it’s our responsibility as a data analytics company to make sure what are we actually trying to help our user with this data set is not just about adding new metrics. Adding new metrics usually is just going to add noise and not be helpful in comparison to fairing what do they need to make the right decision. Brian: Right. Complexity obviously goes up. The single verb, ‘add,’ as soon as you do that, you’re generally adding complexity. One of the design tools that is not used a lot, and this is something I try to help clients with is, what can we take away? If we’re not going to cut it out entirely, can we move this feature, maybe this comparison to a different level of detail? Maybe it’s hidden behind a button click, or it’s not the default. But removing some stuff is a way to obviously simplify as well, especially if you do need to add new things. Your only weapon is not the pencil, you’ve got the eraser as well in the battle so to speak. Julien: I couldn’t agree more. On Next Big Sound we have this concept of artist stages. It’s a way for us to put artist into buckets and by looking at their social instrument data. It goes from undiscovered to epic. We do that by looking at all of the data we have and looking at it in context. I don’t have the numbers right now because they update on a daily basis but every artist starts undiscovered. For instance, as they get 1000 Facebook likes, maybe they’re going to get to a promising stage. We have all of these thresholds moving everyday looking at trends among social services. But what is interesting is that for instance, for a booker, a booker doesn’t need to look at the exact number of Twitter followers for an artist. He needs to know that he’s booking for a midsized venue in the city he’s in and he’s probably going to be looking for promising to established artists and not looking for the mainstream to epic artists. It’s always about figuring a way to use the numbers to tell the story. Brian: I’m totally selfishly asking for myself here, but I was immediately curious. I live in Cambridge which is in the Boston area, and I am curious who are the big artists in our area and what is the concentration? I’m in a niche. I’m more in the performing arts market, in the jazz, in world music, and classical music but I’m just curious. Is there a way to look at it by the city and know what your artist community looks like? You guys do anything like that? Julien: We don’t currently. But I think YouTube has actually a C-level chart available. It’s not part of something we do because I think the users it would benefit are not the users we specifically try to work on new features. It’s more something for bookers than artists ,specifically ,but it’s exactly the type of thing that we need to think about when we prioritize new features. Brian: I’m curious just because the topic’s fairly hot. Everybody is trying to do machine learning projects these days. I don’t like the term AI because it tends to be a little bit overloaded but are you guys using machine learning to accomplish any particular problems or add any new value to your service right now? Is that on your horizon? Julien: How do you think about machine learning? Brian: A lot of times I associate it with predictive analytics or understanding where you might be running instead of just using statistics. I don’t know what kind of data you might have for your learning that you can feed in but maybe there’s aspects about artists that can predict. Especially, I would think like in the pop music world where there tends to be more commercialization of the music, I would say, where it’s like we need a two-minute dance track at this tempo specifically because DJs are going to play it. It’s a very commercial thing. It’s very different than what I’m used to. So I’m curious if there’s a way to predict out how an artist may do or what kinds of tracks are performing well. Like these tempo songs, we predict over the next six months that tech house music at 160 beats for a minute is going to do really well based on the trending. I don’t know. I’m throwing stuff out there. The goal, obviously, is not to try to use like, “Oh Home Depot has this new hammer, let’s run out and get it. We don’t even know what it’s for but everyone else is buying it.” That’s how I joke about machine learning. It’s like you need to have a problem that necessitates that particular tool. I don’t ask such that, “Oh there should be some.” I’m more curious as to whether or not it’s a tool that you guys are leveraging at this time. Julien: The Next Big Sound team doesn’t worked on features following the musical aspects of things. We really are focused on the user data. Brian: Engagement and social. Julien: Engagement data mostly, yes. But at the same time, I’m sure teams have worked on this because of the way that genome works. We have a lot of data about the way songs are made. Regarding machine learning, on the Next Big Song team, we actually have something that is called the prediction chart. You said predictions. We have this chart that is available every week. Basically, it really goes back to having data for a long time. The fact that we’ve had data since 2009, we’ve been able to see artists actually get from starting to charting on the Billboard 200. By having all of these data, we’ve been able to see some trends, some things that usually happen for artists at specific times in their career up until they get into the Billboard 200. We actually do have some algorithms that allow us to apply this learning to all of the artists on Next Big Sound right now and have a list every week of artist that we believe are most likely to appear on the Billboard 200 chart next year. Brian: I see. Got it. Do you track your accuracy rate on that internally and change it over time? Do you adjust the model? Julien: Yeah, we do. Brian: Cool That’s really neat. Tell me, this chat has been super fun. I’ve selfishly got a little indulgent because being a musician, it’s fun to talk about these two worlds that I’m really passionate about so I could go on forever with you about this. But I’m curious. Do you have any advice for other product managers or analytics practitioners about how to design good data products and services? How to make either your own organization happy or your customers happy? Do you have any advice to them? Julien: Yeah, of course. I guess it’s all about asking questions, honestly. What is very good with working at Next Big Sound is that it all started in 2009. Maybe actually I can go back and tell you the story about how it started and why it’s so different today. It started in 2009. It was actually a project, a university project by the three co-founders. Basically, they were wondering about one thing. How many plays does a major artist get on the biggest music platform in the world? At that time, it was MySpace. The artist they picked was Akon. Basically, they just built a crawler, went to bed, woke up, and discovered that an artist like Akon was getting 500,000 plays on MySpace in one night in 2009. The challenge in 2009 was to get the data. That’s why for the most part in Next Big Sound as it started was, I really think a data aggregation tool. Our goal was to get as many sources as possible and just make them easily accessible into the same place. We really are much into the information layer here. We’re giving you all the numbers and you can compare Tumblr to Vimeo, to YouTube, to Twitter, to Facebook, to Vine, to you name it into a table or a graph that you want to. The reality is, today things change. We don’t need to fight to get data anymore. We don’t need to hike our way into getting the numbers. Now, data is accessible to everyone in a very easy way. It’s kind of a contract. You, by being an artist, you know you’re going to get access to your Spotify, YouTube, Pandora, Apple Music or any other platform data very easily just by signing up and authenticating as an artist. That’s where our goal changes. Thankfully, we don’t need to convince people to care about data, we know they do already. But now the challenge is different. Now, the challenge is to make them understand what does their data mean and how can they turn it into getting even more data, getting into having even more engagement, and having even more plays. I think that’s something that is very interesting because it really resonates into the question we’ve been asked in the past few years like, “What does my data mean and when should I be looking at my data?” If anything, these two things correlated pretty well. People don’t just want to look at numbers anymore, they want to be able to use numbers to make decisions. That’s the core of what we’re trying to achieve today. We couldn’t be there if we didn’t have users that ask us the right questions. Brian: Cool that’s really insightful. Just to maybe tie it off at the end and maybe you can’t share this but what’s your home run? What is your holy grail look like? Is there a place you guys know you want to get? Maybe it’s the lack of data or you don’t have access to the data in order to provide that service. Do you guys have kind of a picture of where it is you want to take the service? Julien: What is very noble about our goal at Next Big Sound specifically is we’re here to help artists. The North Star would be to make sure that any artist at any time in their career is doing everything they can do to play more shows, to reach to more people, and to make sure their music is heard. Brian: Nice. I guess it’s like you’re already there, just maybe the level of quality and improving that experience over time, that’s your goal. It’s not so much that there’s so much unobtainable thing at this moment. Is that kind of how you see it? Julien: I think the more we don’t feel just a data analytics tool, the more we’re getting to that goal. I really hope we get to a point where people don’t need to be data analysts to look at data. We’re always going to provide a very customizable tool for the data-savvy because they know what they need more than we can ever do it for them. We want to make sure that for everyone else, we can just make it very easy and as simple as a click for them to do something that’s going to impact them positively. Brian: Cool, man. This has been really exciting to have you on the show. Julien, can you tell the listeners where can they find you on the interwebs? Are you on Twitter or LinkedIn? How do they find you? Julien: For sure. @julienbenatar on Twitter, nextbigsound.com is free for everyone. Actually, we made our data public recently, so if you ever want to learn more about what we do, please check it out. We try to post on our blog about what we learn through data science, through design, and share more about why we build what we build. I recommend to just check blog and do some commitment to learn more about what we do. Brian: I definitely recommend people check out the site. The fun thing is again, as you said, it’s public. If there’s a band you like or whatever, you can type in any group that you like to listen to and you can get access to those insights. Just kind of get a flavor of what the service does. I’ll put those links in the show notes as well as the data pyramid. Julien, cool. Thanks for coming on. Is there anything else do you like to add before we wrap it up? Julien: No, thank you so much. I love reading your newsletters and I’m very happy to be here. Brian: Cool. Thank you so much. Let’s do it again. Julien: Cool. Brian: Cool. Thank you. We hope you enjoyed this episode of Experiencing Data with Brian O’Neill. If you did enjoy it, please consider sharing it with #experiencingdata. To get future podcast updates or to subscribe to Brian’s mailing list where he shares his insights on designing valuable enterprise data products and applications, visit designingforanalytics.com/podcast.

Experiencing Data with Brian O'Neill
005 - Jason Krantz (Dir. of Biz Analytics/Insights, Weil-McClain) on centering analytics around internal customers

Experiencing Data with Brian O'Neill

Play Episode Listen Later Jan 29, 2019


Jason Krantz is the Director of Business Analytics & Insights for the 135-year old company, Weil McLain and Marley Engineered Products. While the company is responsible for helping keeping homes and businesses warm, Jason is responsible for the creation and growth of analytical capabilities at Weil McLain, and was recognized in 2017 as a “Top 40 Under 40” in the HVAC industry. I'm not surprised given his posts on LinkedIn; Jason seems very focused on satisfying his internal customers and ensuring that there is practical business value anchoring their analytics initiatives. We talked about: How Jason’s team keeps their data accessible and relevant to the issue they need to solve for their customer. How Jason strives to keep the information simple and clean for the customer. How does Jason help drive analytics in a company culture with a lot of legacy (from its people to its parts) The importance of focusing on context How Jason drives his team to be business partners, and not report generators Resources and Links: Jason Krantz on LinkedIn Quotes from Jason Krantz: "You realize that small quick wins are very effective because, at its core, it’s really important to get executive buy-in." "I’m a huge fan of simplicity. As analytics pros, we could very easily make very complex, very intricate models, and just, 'Oh, look at how smart we are.' It doesn’t help our customers. …we only use about two or three different visual types and we use mostly the exact same visual set-up. I can train a sales rep for probably five minutes on all of our reporting because if you understand one, you’re going to understand everything. That gets to the theme again of just simplicity. Don’t over complicate, keep it simple, keep it clean.” "…To get buy-in, you really got to have your business case, even to your internal customers, really dialed in. If you just bring them a bunch of crap, that’s how you’re going to lose credibility. They’re going to be like, “I don’t have the time to waste with you,” even though we’re trying to be helpful.” "What my team and I do is we really help companies weaponize their data assets." Episode Transcript Brian: Jason, are you there? Jason: I’m here my friend. Brian: Sweet. How’s it going? Jason: It’s going very well today. How’s your Friday going? Brian: I’m doing awesome. We’re going to talk a little bit about analytics. Is it Wile McLain or Weil McLain? Jason: I say Weil McLain. If I’ve been saying it wrong, I’ve been saying it wrong for a while. Brian: As I recall from my musical training, I think in German, the second syllable is the one that says its name. I guess it would be Wile McLain, like if it was W-I-E-L it would be ‘Weil.’ But I don’t know. Its anglicized as they come over the pond. Jason: I’m going to go with you on that when you sound like an expert. Brian: Nice. Well, you sound like an expert in analytics at Weil McLain. Tell us about what you’re doing over there. We met on LinkedIn, I’ve been enjoying your postings on the social feed about your approach. You seem really passionate about what you’re doing and I’m like, “I don’t know who this guy is, but that was really interesting.” I just have. Tell us about the company, what they do. I know they’re in heating, right? Jason: Yes, absolutely. The company I work for, and I work in the HVAC space, we’re a 135-year-old boiler manufacturer. Whether you realize it or not, you probably have one of our products in your house or building or very close to where you live. What my team and I do is we really help companies weaponize their data assets. As you know, a lot of companies are very skilled at acquiring data since the Big Data Movement. But the reality is that a lot of these companies don’t know what to do with all this data. That’s where we really come in. What I always tell my team and our business partners that we work with internally and externally is that our focus is on solving business problems. In order to do that, you have to identify what is the business problem that you’re trying to solve or strategic agenda that you’re trying to address. In order to do that, you really have to be anchored in the biz. Again, that’s just my perspective, but if you’re in the business day in, day out, you develop this very keen stand of what the business would need to accomplish its objectives. Just like right now, we are based in the marketing group and it’s a great spot to be. I’m a firm believer that every analytics team should be based in the business for a reason that I just talked about. But what that does being business-first is that gives us a great lens to look at data from. Sometimes analytics people would be IT-centric and they can do a lot of academic work against the data set or different data sets. But the business might look at the output and be like, “Yeah, that doesn’t help us.” We always, always, always start with, “What is the business problem we’re trying to solve or strategy we’re looking to address?” It also helps us when it comes to curating data also. That’s one of our primary response [00:03:21] this too, is to look for different data sets both internal and external that can help us identify strategic opportunities. It sounds really unsexy, I’m not going to lie. I think some of my LinkedIn post just say that data is boring. It really is. It’s mind-numbing, too, about 85% of my customers. But that’s the important part is understanding what do our customers need and that’s really the lens that we look at this through. We are a service provider, our customers are internal and external, we have customers just like any other business. We have to take this really boring, but really potent product in data and make it accessible to them. That’s really where we use design to really try to make that magic happen. Brian: I love that you said, “Trying to understand what the problem is.” This is something we talk about on the mailing list quite a bit. In fact, falling in love with the problem is a good basis for doing good work instead of kind of jumping to solutions or feeling […]. As I tell my clients sometimes like, “Our job is not to go and visualize the data. It’s not […] available for someone to put into another tool or whatever the heck it is. The job is to find an insight that already is used. Probably they’re already in your job and you’re there to make […] if you’re doing internal analytics. Help them do a better job at what they’re doing, offer more value. You need to figure out how to work that into their life.” For example, for you guys then, your customer, I assume is it primarily sales people that you’re working with? Who are your customers and your […]? Jason: Yes. Great question. One of our biggest customers is sales. Sales has been one of my biggest customers for the past 10 years of my career. I’m very intimately involved with the sales team, sales operation, sales optimization, insight gathering, pricing, things like that, but also marketing. We do a lot in terms of competitive intelligence gathering, market research. We also do a lot of operations in finance obviously related to the prices, that sort of thing. We really touch all areas of the business, but without question, our biggest customers are going to be sales and marketing. Brian: If you were to bring a new initiative like, “Hey, we have access to…” I don’t know what it might be but for you maybe your point, [might be a line 00:05:49] of data that could actually give them more leverage. We know what the negotiation brings, better than […], we know we kind of have an idea now from what the industry is doing for their sales such that we can now tell the CRM like, “This is your […] or something.” When do you get that sales person involved? Do you deliver a solution and get feedback? Do you bring [...] early and say, “Hey, we think we can tell you more about how to do better pricing on the spot with this thing.” Do you bring them in or when do they fit into your process? Jason: Great question. A lot of times because we spend so much time actually in the trenches, that’s one of things I think is unique about the way that I design my teams to do analytics. It’s not like hand off product and we’re like, “Godspeed. Good luck.” Once we deliver a solution, we’re actually in the trenches with the business trying to implement what we’re talking about because it just works better. The team work is just more effective and they know that they’ve got back up, they know they’ve got air support. Really, a lot of times when we come up with something new, a lot of times we will frame it from the lens like, “Hey, we know that we’ve got opportunity A or issue B, or whatever it is. This has been an issue or an opportunity for months or years or whatever.” We think that we’ve identified something that could help us in solving that issue or realizing the potential of that opportunity and then it becomes, “Okay, let’s sit down and talk about, do you agree that this might actually help us in this process?” Because the one thing that I’ve learned is, in order to get buy-in, you really, really got to have your business case, even to your internal customers, really dialed in. If you just bring them a bunch of crap, that’s how you’re going to lose credibility. They’re going to be like, “I don’t have the time to waste with you,” even though we’re trying to be helpful. What we found out is if you really dial in what are we trying to address with this, just as you would with any business case, and you bring that to them, I have found that they tend to be much more receptive. It’s not to say there’s not going to be resistance—resistance comes with any change—but we found that typically framing it from that lens and saying, “We’re trying to solve a problem that you have, we think that this data will help,” that’s a great starting point. Brian: Do you have an example of a before/after with that? I don’t want you to get into proprietary stuff you can’t talk about but is there like a, “Before they did it this way,” and then we brought them in and said, “Hey, we think we can get […].” and how you went [00:08:19]. Jason: Yeah. What I can talk about is just the manner in which we distribute sales information, specifically insights. I think that, for your listeners, this is going to ring true to a lot of sales forces. I know for all them that I’ve been in or worked with, this case was true 100% of the time. But one of the things that, again, keeping the customer-centric focus, that if you look at your sales reps, a lot of time is you’re going to be what I call casual data consumers. By that, I mean that these are guys and gals that aren’t really into data day in and day out like guys like you and I or some of the listeners maybe. What we have to do is, as I always encourage my team to take empathetic lens and look at, “Okay, if we give them what our first […] is going to look like, how are they going to interpret this?” A lot of times, to be honest, it’s not very good. Now that’s where we have to look at internally and kind of rationalize and say, “Okay, let’s find this. One of us will find [00:09:14].” But one example of that is traditionally, sales reps and sales teams will get the information in a flat Excel table. Just lots of rows and columns and just gibberish everywhere. That’s a very financial-centric view of sales data. But the reality is—I don’t know about the rest of mankind but I know for myself—I can’t remember much more than 10 numbers. The mental computational cost of extracting insights is just gargantuan. What happens is, I just don’t even bother to do it. I’m just like, “Yeah, whatever.” An equivalent of that is, you know if you get a big block of text in email? Even though if you took that same block of text and broke it up into two paragraphs or two sentence segments which is very easy to read when you put the effort in, but for me, if I get a big block of text, I’m not even going to read that. It’s kind of one of the same things that we see on the sales side. What we do is just say, “You know what? There’s a lot of really good information here and we need to make it digestible for our customers.” That’s where we found traditionally, visualization can be an incredibly effective tool to communicate insights to this casual data audience, to this casual data consumer. Brian: Do you have to work through the visuals with them? Do they tend to get it the first time? Is it a process of you share, “Here’s a report or here’s some new view on X.” How do you know if the visualization is actually allowing them to pull the insight out of what other [00:10:46] broad data? How do you know they’re actually “getting it”? Jason: That’s a great question. I’m a huge fan of simplicity. As analytics pros, we could very easily make very complex, very intricate models, and just, “Oh, look at how smart we are.” It doesn’t help our customers. It doesn’t help anything. Really what we do—this is going to get to the theme of simplicity—is we only use about two or three different visual types and we use mostly the exact same visual set-up. Just to kind of frame it, what I’m a big fan of is a simple bar chart. There’s more details attached to it but to the right of the bar chart, we’ll typically put a tabular data set. What we do is, as you think in US at least, we start in that left-hand side of the page or we […]. What we do is we look at the visual real estate. We say, “Our customers are going to start in the left-hand side. We want them to look at the bar chart because it allows them to very rapidly assimilate it at a high-level what’s going on.” It’s great at communicating at top-level churn very quickly but the trade-off is, is this horrible imprecision. You have no precision at all. What we like to do is then we address that issue by putting a simple table, very clean, very simple table over to the right. What that does is that then provides the precision that the customers are seeing in most financial-centric tables. What we found that does is that we have to train our sales team on one set-up and then that set-up is used virtually universally on all of our solutions. As an example, I can train a sales rep for probably five minutes on all of our reporting because if you understand one, you’re going to understand everything. That gets to the theme again of just simplicity. Don’t over complicate, keep it simple, keep it clean. Brian: I think those are good. A lot of times, when I work with engineering clients, they fall in love with consistency. I guess one point to maybe just the contrary of this is that, I think consistency is generally a good rule with design. We want to minimize unnecessary change but at the same time, I would recommend to listeners is to always look at context first, and context should always come in. Let’s say Jason comes up with report number 12 and they have 11 now or whatever, and it doesn’t feel right for number 11. That’s a place where a designer would probably push for, “Well, no. The 12th one actually needs to be different because it’s not […] 11th and even though it’s not consistent, in this context, we don’t need it to win. This version will deliver the usability and the utility that we’re looking for better than the other 11 will.” In general, I think it’s smart to not get creative unnecessarily with meaningless ink on the screen like, “Let’s try it this way. Let’s change the color palette. I’m tired of this.” Those are not good reasons for […], you’re just introducing noise and it’s unnecessary. But I like that you guys are thinking about simplicity and trying to reuse templates and not looking at it as a creative tableau. Ironically, people think it’s a creative “design” tool, but at the same time with all those weapons, you have a lot of different weapons you can use in that toolkit and part of that is knowing how to use this. It’s the same thing with Photoshop, a million buttons and all this stuff. The Photoshop doesn’t make you a designer. It’s being aware of your customer’s pain and the problems they need and knowing when to use all those filters and all those different things that it can do. I like that you guys are looking into that simplicity and reusing templates when it’s meaningful to do so. Jason: You bring up some great points and I 100% agree. My team that’s listening there, they’ll laugh because I beat it in their heads, “Context. Context, context, context.” Both in design as you’ve talked but especially with numbers in general. Like, “If I give you a number, a billion, that doesn’t mean anything, you got to have context.” I’d say the same is true for design just as you articulated. Great point. Brian: Where does the impetus for “everybody is a data company, everybody wants to do analytics”? But then there’s operationalizing that, there’s getting buy-in, leadership behind it. Where does that come from in your org? Where is the interest in taking a 130-year-old company and getting it to care about this? Where does that come from, your influence and all of that? Jason: That was driven by our current president because he saw it as part of a digital transformation. Obviously, this was an essential component of that. Obviously, we do a lot with analytics, but we’re also involved in a lot of other digital components that lead to that overall digital maturation. Analytics is a very, very big part of what we do but it’s not all that we do. We serve as kind of that quarterback for a lot of the digital initiatives to help basically, guide them through the process. Because even though some of the nuances of each of this project, each one will have its own nuances, they all come back to data. Data is the currency. We found out pretty quickly that if you want to stay relevant in this day and age, you need to be digitally evolved but more importantly, as you look at it, do you [compare the 00:16:02] advantage that you can derive from analytics? I would argue that gap is slowly closing known certain industries like manufacturing, but we probably have a little bit more runway [00:16:10] it. But for a lot of industries, analytics is becoming table stakes. It’s one of those where you can certainly expect incremental value and competitive advantage, but the question becomes how much longer. That was kind of the impetus of saying, “Hey, we got to get this going sooner rather than later.” Brian: Do you have people in sales that are resistant to using the reporting or taking advantage of your information or is it pretty ingrained in the company culture that it’s like, “This is a tool. Why would you not want to use it?” Or did you guys have a […] getting adoption? Jason: Yeah. I would say anytime you’re going through a transformation of this magnitude, it’s hard and I would say especially for other manufacturers. I found in general, manufacturing in general, tends to be one of the laggards industry-wise in analytical maturity. Unquestionably, it’s tough for no other reason than change is tough. You’re taking legacy plants, legacy steer pieces, legacy process, and some people has been around the company for decades potentially, and we’re asking them to change almost on a dime on their time scale how they do business. It’s not that it’s right or wrong but what we try to point out is that, as I always say, we have to acknowledge the past. We’ve been where we’ve been, we’ve been successful at where we been. But there’s been more change in the past two or three years than maybe you’ve seen in the past 15-20 years. In order to stay relevant, you really have to be ready to evolve, not only evolve but evolve quickly. But I have to openly acknowledge that that’s hard. It’s a hard proposition for a lot of people. Again, it comes down to change management and managing not only expectations but supporting that change. Change doesn’t happen by itself, we have to support that. That’s really what we try to coach through. The way that we try to do that is by developing a product with our customers. I’m sure as you can […], if you force something upon somebody, it doesn’t get received too well. But if you develop it in conjunction with them and do tie it around their needs, it tends to get better adaptation. Brian: You used the word product in there and I’m interested, do you see the outputs of your efforts? Primarily, it’s BI reporting as I understand it. Do you look at that as the product that you offer to sales? Is that kind of how you see it? Jason: Yeah. We offer a product in the form of the insight packages but it’s also the service. Service that goes with it where again, we serve as essentially internal consultant to help them along. If you take just the product-centric approach, you just deliver an insight package and you’re like, “Good luck. It’s [00:19:35]. Have at it.” What we do is we deliver the product and then we partner with them and say, “Okay, here’s what we see. Now, remember you’re talking about this going on in the channel last year and our note show that there’s been a lot of competitive activity in this area. Here’s some of the question that we have. You’re the expert, so what do you think?” What we found is that working together like that, we tend to get pretty good results versus just leaving these guys on an island to kind of figure it out themselves because they virtually always know the answer but sometimes it’s up to us using these products and then offering the service is to ask question that maybe aren’t getting asked. A lot of times, we find out that they know the answer it’s just that you kind of have to ask the question. Brian: Is that often like, “I was using XYZ report. Could you break this down by county instead of just by whatever because I feel there’s more people living in the East side of town and the average is here or […] the whole county. I really just need this one county because that’s where everyone lives. Is that really underserved? Blah, blah, blah,” that kind of stuff and then you guys will go off and work with them for more of that detail then maybe you release that back into the product as a feature if it seems like a one-off or something. Is that how it works? Jason: It’s actually a very fluid process. An example of what you just described is exactly what happens if hey come to us with questions. But we also do it where we flip it around because a lot of products that we create are more aggregate discussion tools. We don’t design a lot within our primary visualization package. To really get into the weeds and everything just becomes overwhelming. We have other tools like your traditional [00:21:22] pivot table to kind of dig into that stuff. But the exact example that you just gave, they will ask us those questions, but we will also flip the script and say, “Hey, we saw that the mechanical chain in the Northeast is up 50%,” I’m just making up a number, “and at a higher level, you can see that but when we segment it out, here’s what we see. Not only when we break this down to this level, we see that’s specifically being driven by A, B and C.” That gets to where I push heavier at my team to do root cause analysis. That’s really where we provide value is by digging into it and asking questions like that. Again, operating from the lens of trying to solve a problem or answer a question or root cause something in conjunction with the business. A lot of times, we will ask those questions and at the same time, they will ask us, which is great. It’s amazing because you get the better solution faster. Brian: I think that’s great. I’ve worked on several different tools that have varying sophisticated means of doing root cause analysis and I think it’s a really powerful way to bring some why to a what that has happened in the past. Most of the time, why is really where the money is at. The value comes in being able to understand why. A lot of times, we don’t have all the data. You can’t know for sure but a lot of times I tend to say, “Our guess, if they’re just going to make a WAG—a wild ass guess—then our guess, as long as we qualify what ingredients went into the pie, our guess may be better than any WAG.” They’re going to make one already. If they’re going to make a decision here and go off gut, there is maybe a chance they’re right and their experience will say something. But maybe our elementary root cause analysis, which we can improve over time, will actually be better and we can get out of the total guessing game and start with something that’s kind of a macro ballpark thing. Then overtime, you can improve that analysis as new data becomes available or maybe learn about how two variables are related in the business and you can bring that knowledge into the system. I totally hear what you’re saying. It’s a nice mix of internal product plus services and also, it sounds like it gets you guys do good discovery work as well. You guys are not just responding to questions but you’re maybe asking them questions together as a group. You kind of work through what opportunities maybe latent that no one’s talking about by asking questions using data to do that. Jason: Yeah. In the lens that we’ve been talking through, this is really sales-centric, but this applies to any group that we interact with. We have the same level of proactive discussion with any group that we interact with. In some of these, in our market research side, it’s 100% proactive. We’re going out there scouring for information and trying to see the other things that we see. That one it’s completely proactive and now we bring insights to the business and say, “What do you guys think?” The sales one is the most fun because, let’s be honest, there’s no business if you’re not selling anything and nothing happens until a sale is made. Brian: Right. I get that. You talked about other clients, do you work at all with the actual hardware, is there any IoT type of analytics going on with the boilers and machinery that you guys create? Jason: We’re early in that process. We actually are getting ready to go down that task very soon. On the hardware side, we tend to not have as much involvement. That’s really more on the engineering group. I think for any manufacturer product or engineering groups probably going to be the most involved in that. But obviously, we get involved into the discussions of answering the fundamental question. What are we actually going to do with this data when we collect it? Because as you can imagine, IoT can spit out a lot of data real quick. They can become incredibly burdensome very quickly if you don’t have a plan on how to manage it. But then, if you’re going to go through the effort of managing that, you got to be able to say, “What are we going to do with this?” Brian: Yeah. I guess the first thing that would come to mind for me would be predictive maintenance, like, “Is it going to break down soon?” I worked on a cooling company that does cooling and really as the guy told me is like, “We’re not selling refrigeration. We’re selling consistent temperature to our clients. It’s not really about coolers and all of that, so we need to deliver consistent temperature. If we don’t do that, they lose products, they can lose whatever is being stored in cold storage.” That is significant business. I’m sure for you guys, it’s heat, you want to sell heat so how do you get in front if there’s a maintenance plan or whatever, how do you stay on top of that kind of stuff? Jason: Absolutely. Brian: [00:26:13] IoT. One of my clients used this word one time, which I now use all the time which is like, “We don’t want a metrics toilet.” An example of you can get to a metrics toilet really quickly with every stat under the gun and how many ounces of water per minute through this pipe, that’s great because that’ll help me do, as a sales guy or as a technician, how am I going to use that information just because there’s a sensor on that pipe. It’s working something around like, “Oh, there’s a sensor. Put the data in the grid.” Jason: I’m going to have to borrow that. I’ll give credit whenever I use ‘metrics toilet,’ that’s a pretty good one. I may actually [00:26:56]. Brian: Nice. Tell me, where does it go from here? You had mentioned like, “Oh, the competitive edge, maybe it’s closing.” Or maybe you guys feel your competitors are all kind of maybe they’re doing the same thing that you guys are doing and we are all aware of where the data can be used to drive the business. Are there other places where you see design or technology like predictive analytics or machine learning and some of these other new technologies that are out there to help drive predictions and things like that? Are you guys leveraging any of that or have plans to look to the future? What does that look like? I know you probably can’t talk about everything but maybe broadly. Jason: Absolutely. I would say that that’s content that’s definitely, if it’s not already being done then it’s on our radar. We’ve got a pretty talented team here that goes a lot of your traditional data science turf. As you can probably surmise in this conversation, is in addition to having all skills, we’re probably the most heavily focused on the business side. As we say, we explore opportunities for a lot of this. We always look at it, again, like machine learning. Great, but we got to make sure it’s very powerful stuff. We got to make sure that whatever we’re embarking upon, because we have finite work capacity, if you pursue something, machine learning, it means we’re not doing something else. It’s not to say that it’s not important, but we really have to be able to answer to that question. Again, come back to, “This is our anchor. What are we going to do with it?” I love this stuff. I love the stats. I love machine learning, AI, all that stuff. If you’re not careful, you can really quickly get into an academic exercise that we think is really cool. “Oh wow, look at this. We’ve got this awesome algorithm here. It does all this magical stuff,” and then the business looks at it and goes, “Yeah, so what? I don’t care. How does that generate revenue? How does that improve our margins? How does that reduce our cost? How does that enable to build the sales pipeline?” If we can’t answer those base questions and we don’t get alignment, that’s probably the most important thing is executive buy-in on exactly what we’re going to be working on, why it’s important. No, we don’t pursue it but those things are most definitely, as with any analytics teams today, I think that that content is definitely being done and/or on your radar. Brian: You make a really good point. Sometimes I almost hesitate to ask the question. But I think it’s an exciting space in terms of predictive capability and removing viable analysis and what we call time tool time in the design world, there is there. But at the same time, you make a really good point which is again, these are tools that need to be leveraged to service an opportunity or a problem. The goal is not to go do the machine learning, the goal is to solve a business problem by which machine learning maybe applied a better […] do it, reduce cost or reduce effort, speed, something like that. I completely respect that. I’m glad to hear that you guy are looking that as not a leading step. I know there’s conflicting signals out there. I’ve been talking to people in the International Institute for Analytics about this and at the same time you hear a lot of stuff which is, “If AI is not part of your strategy, you’re going to be missing out,” and boards just want to hear that people are doing AI. At the same time, you’ve got academic exercises going on, you’ve got people trying to take on massive like, “We’re going to shoot for the moon,” and it’s like, “You don’t even have an airplane and you’re trying to go to the moon with this thing. Show us a small win if you’re going to do an investment in AI.” It’s okay to go try it out and say, “Let’s do a small thing but let’s try to solve a business problem or have some definable output that we’re looking to do here such that we’re not just writing code and doing experiments.” I hear there’s a problem with people putting this on their resume. It’s like people just want to have machine learning. Everyone’s a data scientist now that used to stay in analytics. [00:30:47] It’s scary in the sense of just wasting opportunity and wasting money because at some point, your smarter competitors are going to be saying, “This is a new hammer. Let’s find some nails that we can use for it. But we think […] right nails and it needs to be the right application before we whack at it. It’s not just […].” Jason: I really like your point because again, if my peers were listening to this they will laugh because they say, “We are professionals of this trade and the tools that we might want to use might not be the right tool to use for a specific job.” I couldn’t agree more with that sentiment. It’s one of those core philosophies that I have and share with my team. Also to it is with the AI. I think that you truly made a very astute observation here and comment in that, I think a lot of companies do feel compelled to have to make significant investment in AI like today. It’s not to say that there’s not merit. There clearly is plenty of merit and plenty of potential there, but kind of your point, I really believe that it’s much more beneficial when you really minimize the risk of project and budget flow and minimize overall project risk. You take that small bite and try a little bit, then try a little bit more. When you get to win, socialize the win, and your executives feel comfortable because I’ve done it on the analytics side. I went for a big bang approach and after nine months they were like, “Hey, man. Where’s the output?” All you need is to get bit by that once and then you realize that small quick wins are very effective because at its core, it’s really important to get executive buy-in. A lot of executives are not willing to wait nine months or a year for something when they’re expecting to see at three months. I totally agree with your sentiment. Brian: When you talked about the wins, I totally understand if you’re close to it and maybe hard to remember those, but is there a particular story or time where something in the product and the insights that you guys put out to your customers that it was like a real win, like a sales guy said something to you or maybe an executive said something to you about how this moved the needle, like this was a memorable moment for us. Like, “I changed a customer’s mind with this,” or, “We closed the sale that we never would have been looking over here if we didn’t do it.” Do you have any anecdotes like that that you can share? Jason: One that we had recently, again, just for confidentiality purposes I can’t get too deep. Brian: Sure. Jason: We did have one recently where we just basically revamped our insights packages that we distribute to our internal team. We really, really gathered feedback. We had version one, we gathered ton of feedback, kind of refined, iterated, got the feedback without making it a major release. Got feedback, refined it, refined it, and then what we did was, with a small group, we got that beta in their hand, they look at it and they’re like, “This is great. This is exactly what we need.” Because what we were doing, what we found was—I’m sure you’ve experienced this—everybody wants their own part of things. Everybody wants certain view of a report or they want certain insights or whatever it is, and it’s great. But if you have limited resources, really high-powered resources like an analytics team or data science team, you’re going to look at the opportunity cost of trying to do one of these one-offs, we were getting a ton of report flow. Again, what I tell my team, I don’t mean to be derogatory to the DI guys in this comment, but my team’s side, I always tell them, “We don’t create value if we’re just creating reports. We create value when we’re actually partnering with business to extract insights, identify opportunities amidst all that stuff that goes well with it.” What we realized though is that, what started out as a nice, clean, three- or four-page insights package and blow it up to like 20 and [34:21] doesn’t that meet our original criteria? Essentially, what we do is once we have the rationalization enough to say, “Okay, we’ve got all these stuffs right across 20 pages. We can actually distill it down to four pages.” It will give you the exact same information, but it might not look the exact way that you wanted it to look. The question becomes, are you willing to deal with less stuff and maybe have it look a little different, but you’ll get it in a much more concise package that you’re actually able to use and process? What we found out is that a lot of people were doing these packages and getting the reports that they want but they weren’t actually using them to drive decision-making because they can’t see the paragraph or the block of text story before. They look at it and they’re like, “I don’t know what the hell to do with this.” We would dial that in and it just been a screaming success. It’s really nice to have it where something like that you see the evolution of it. This is just one of those things that we had, and this was kind of a side package or wasn’t a primary, but it’s become a primary now because it’s so effective. Brian: Would you say that when you talk about reducing this, is the report like a PDF or do they access it through a browser the insights package? Jason: Yeah, we have the options to do both. We distribute it initially via PDF, sometimes along with our comments if there’s really, really big stuff in there. We’ll say, “Hey, we see this. Here’s a driver. Here’s a supplemental package.” A lot of times it’s PDF first and then if they want to go on the web, start interacting with it, they can do that. Those are nice, but the reality is a lot of them don’t do that which is understandable. Brian: You took it from 20 pages down to 4, is that what you’re saying? Jason: Yeah. Same information. Brian: This is a really good point. I’ve frequently had clients come in and they’re with data products and their concern is information overload. We’ve heard this a lot of times and the irony is that, the issue is usually not information overload. It’s usually a design problem that the information is not presented properly because sometimes, it can increase the density and increase the utility and usability, not the other way around. In fact, removing data can actually make it worse. A basic example of that is when you’re trying to compare A and B. If A and B are not on the same, what we call a viewport like in a browser world, it would be within the browser window there. When you require someone to toggle between two screens, they have to change context and visually, your eye can process the information a lot better when it’s within proximity. Sometimes, increasing the density actually will give you a better design. It takes more care in how you do it, but it’s not always about information overload, “Oh, it’s too crazy.” They may not get it on the first time but your sales people, if they’re looking at this stuff weekly or monthly, at some point they’re going to be pretty comfortable with this. I always tell my clients, “You need to look at the switch frequency as well because if it’s going to be used a lot, you can actually get more detailed and you can really push the, what you might see as complexity or the information density, can go up because they’re going to get familiar with the formatting. Typically, the density is actually going to probably improve the utility as long as care is given to the choices. But having that eyeball comparison without having to change pages and all of that, typically you’re going to give a better story as a broad rule. I like hearing that you guys went down in page count, up in density and in turn a better user experience at the end so that’s great. I think we’re about done here. I don’t have too many questions for you, but this is super great. One of the reasons I contacted Jason is because I remember seeing this quote, “Jason is like a category five hurricane in the data analytics world.” I’m like, “Who the hell is this guy? No one talks like that.” I started reading your stuff and I enjoyed watching your LinkedIn social posts and things like that. Where can people find out more about you? You’re obviously on LinkedIn, I can put LinkedIn in the show notes and stuff, but are you on Twitter, any social media places they can follow you? Jason: No, actually, I’m not on Twitter. But the best place unquestionably is going to be LinkedIn. I’m pretty involved there. I do like to engage. If you want to direct message me with questions, just talk, meetup, connect, whatever it is, I welcome that. I love the platform, it’s a great family. I just really started using it maybe nine months ago, really getting into it. It’s been great meeting guys like yourself. It’s actually phenomenal. Brian: Cool. I’ll put a link to Jason’s LinkedIn profile on there and you guys can find him. I recommend, especially if you’re in an internal analytics type of role at your company, to follow Jason and then check out what he has to say on there. This has been great. Thanks for coming on the show. I look forward to meeting you at some point in person. Jason: Dude, thank you for having me on here. I really appreciate it. We hope you enjoyed this episode of Experiencing Data with Brian O’Neill. If you did enjoy it, please consider sharing it with #experiencingdata. To get future podcast updates or to subscribe to Brian’s mailing list where he shares his insights on designing valuable enterprise data products and applications, visit designingforanalytics.com/podcast. Never forget to look up the online HTML CheatSheet when you forget how to write an image, a table or an iframe or any other tag in HTML! [bws_google_captcha] Subscribe for Podcast Updates Get updates on new episodes of Experiencing Data plus my occasional insights on design and UX for custom enterprise data products and apps. Email Address [text-blocks id="eu-consent-checkbox-textblock" plain="1"]

Experiencing Data with Brian O'Neill
005 – Jason Krantz (Dir. of Biz Analytics/Insights, Weil-McClain) on centering analytics around internal customers

Experiencing Data with Brian O'Neill

Play Episode Listen Later Jan 29, 2019 39:57


Jason Krantz is the Director of Business Analytics & Insights for the 135-year old company, Weil McLain and Marley Engineered Products. While the company is responsible for helping keeping homes and businesses warm, Jason is responsible for the creation and growth of analytical capabilities at Weil McLain, and was recognized in 2017 as a “Top 40 Under 40” in the HVAC industry. I’m not surprised given his posts on LinkedIn; Jason seems very focused on satisfying his internal customers and ensuring that there is practical  business value anchoring their analytics initiatives. We talked about: How Jason’s team keeps their data accessible and relevant to the issue they need to solve for their customer. How Jason strives to keep the information simple and clean for the customer. How does Jason help drive analytics in a company culture with a lot of legacy (from its people to its parts) The importance of focusing on context How Jason drives his team to be business partners, and not report generators Resources and Links:  Jason Krantz on LinkedIn Quotes from Jason Krantz:  “You realize that small quick wins are very effective because, at its core, it’s really important to get executive buy-in.” “I’m a huge fan of simplicity. As analytics pros, we could very easily make very complex, very intricate models, and just, ‘Oh, look at how smart we are.’ It doesn’t help our customers. …we only use about two or three different visual types and we use mostly the exact same visual set-up. I can train a sales rep for probably five minutes on all of our reporting because if you understand one, you’re going to understand everything. That gets to the theme again of just simplicity. Don’t over complicate, keep it simple, keep it clean.” “…To get buy-in, you really got to have your business case, even to your internal customers, really dialed in. If you just bring them a bunch of crap, that’s how you’re going to lose credibility. They’re going to be like, “I don’t have the time to waste with you,” even though we’re trying to be helpful.” “What my team and I do is we really help companies weaponize their data assets.” Episode Transcript Brian: Jason, are you there? Jason: I’m here my friend. Brian: Sweet. How’s it going? Jason: It’s going very well today. How’s your Friday going? Brian: I’m doing awesome. We’re going to talk a little bit about analytics. Is it Wile McLain or Weil McLain? Jason: I say Weil McLain. If I’ve been saying it wrong, I’ve been saying it wrong for a while. Brian: As I recall from my musical training, I think in German, the second syllable is the one that says its name. I guess it would be Wile McLain, like if it was W-I-E-L it would be ‘Weil.’ But I don’t know. Its anglicized as they come over the pond. Jason: I’m going to go with you on that when you sound like an expert. Brian: Nice. Well, you sound like an expert in analytics at Weil McLain. Tell us about what you’re doing over there. We met on LinkedIn, I’ve been enjoying your postings on the social feed about your approach. You seem really passionate about what you’re doing and I’m like, “I don’t know who this guy is, but that was really interesting.” I just have. Tell us about the company, what they do. I know they’re in heating, right? Jason: Yes, absolutely. The company I work for, and I work in the HVAC space, we’re a 135-year-old boiler manufacturer. Whether you realize it or not, you probably have one of our products in your house or building or very close to where you live. What my team and I do is we really help companies weaponize their data assets. As you know, a lot of companies are very skilled at acquiring data since the Big Data Movement. But the reality is that a lot of these companies don’t know what to do with all this data. That’s where we really come in. What I always tell my team and our business partners that we work with internally and externally is that our focus is on solving business problems. In order to do that, you have to identify what is the business problem that you’re trying to solve or strategic agenda that you’re trying to address. In order to do that, you really have to be anchored in the biz. Again, that’s just my perspective, but if you’re in the business day in, day out, you develop this very keen stand of what the business would need to accomplish its objectives. Just like right now, we are based in the marketing group and it’s a great spot to be. I’m a firm believer that every analytics team should be based in the business for a reason that I just talked about. But what that does being business-first is that gives us a great lens to look at data from. Sometimes analytics people would be IT-centric and they can do a lot of academic work against the data set or different data sets. But the business might look at the output and be like, “Yeah, that doesn’t help us.” We always, always, always start with, “What is the business problem we’re trying to solve or strategy we’re looking to address?” It also helps us when it comes to curating data also. That’s one of our primary response [00:03:21] this too, is to look for different data sets both internal and external that can help us identify strategic opportunities. It sounds really unsexy, I’m not going to lie. I think some of my LinkedIn post just say that data is boring. It really is. It’s mind-numbing, too, about 85% of my customers. But that’s the important part is understanding what do our customers need and that’s really the lens that we look at this through. We are a service provider, our customers are internal and external, we have customers just like any other business. We have to take this really boring, but really potent product in data and make it accessible to them. That’s really where we use design to really try to make that magic happen. Brian: I love that you said, “Trying to understand what the problem is.” This is something we talk about on the mailing list quite a bit. In fact, falling in love with the problem is a good basis for doing good work instead of kind of jumping to solutions or feeling […]. As I tell my clients sometimes like, “Our job is not to go and visualize the data. It’s not […] available for someone to put into another tool or whatever the heck it is. The job is to find an insight that already is used. Probably they’re already in your job and you’re there to make […] if you’re doing internal analytics. Help them do a better job at what they’re doing, offer more value. You need to figure out how to work that into their life.” For example, for you guys then, your customer, I assume is it primarily sales people that you’re working with? Who are your customers and your […]? Jason: Yes. Great question. One of our biggest customers is sales. Sales has been one of my biggest customers for the past 10 years of my career. I’m very intimately involved with the sales team, sales operation, sales optimization, insight gathering, pricing, things like that, but also marketing. We do a lot in terms of competitive intelligence gathering, market research. We also do a lot of operations in finance obviously related to the prices, that sort of thing. We really touch all areas of the business, but without question, our biggest customers are going to be sales and marketing. Brian: If you were to bring a new initiative like, “Hey, we have access to…” I don’t know what it might be but for you maybe your point, [might be a line 00:05:49] of data that could actually give them more leverage. We know what the negotiation brings, better than […], we know we kind of have an idea now from what the industry is doing for their sales such that we can now tell the CRM like, “This is your […] or something.” When do you get that sales person involved? Do you deliver a solution and get feedback? Do you bring […] early and say, “Hey, we think we can tell you more about how to do better pricing on the spot with this thing.” Do you bring them in or when do they fit into your process? Jason: Great question. A lot of times because we spend so much time actually in the trenches, that’s one of things I think is unique about the way that I design my teams to do analytics. It’s not like hand off product and we’re like, “Godspeed. Good luck.” Once we deliver a solution, we’re actually in the trenches with the business trying to implement what we’re talking about because it just works better. The team work is just more effective and they know that they’ve got back up, they know they’ve got air support. Really, a lot of times when we come up with something new, a lot of times we will frame it from the lens like, “Hey, we know that we’ve got opportunity A or issue B, or whatever it is. This has been an issue or an opportunity for months or years or whatever.” We think that we’ve identified something that could help us in solving that issue or realizing the potential of that opportunity and then it becomes, “Okay, let’s sit down and talk about, do you agree that this might actually help us in this process?” Because the one thing that I’ve learned is, in order to get buy-in, you really, really got to have your business case, even to your internal customers, really dialed in. If you just bring them a bunch of crap, that’s how you’re going to lose credibility. They’re going to be like, “I don’t have the time to waste with you,” even though we’re trying to be helpful. What we found out is if you really dial in what are we trying to address with this, just as you would with any business case, and you bring that to them, I have found that they tend to be much more receptive. It’s not to say there’s not going to be resistance—resistance comes with any change—but we found that typically framing it from that lens and saying, “We’re trying to solve a problem that you have, we think that this data will help,” that’s a great starting point. Brian: Do you have an example of a before/after with that? I don’t want you to get into proprietary stuff you can’t talk about but is there like a, “Before they did it this way,” and then we brought them in and said, “Hey, we think we can get […].” and how you went [00:08:19]. Jason: Yeah. What I can talk about is just the manner in which we distribute sales information, specifically insights. I think that, for your listeners, this is going to ring true to a lot of sales forces. I know for all them that I’ve been in or worked with, this case was true 100% of the time. But one of the things that, again, keeping the customer-centric focus, that if you look at your sales reps, a lot of time is you’re going to be what I call casual data consumers. By that, I mean that these are guys and gals that aren’t really into data day in and day out like guys like you and I or some of the listeners maybe. What we have to do is, as I always encourage my team to take empathetic lens and look at, “Okay, if we give them what our first […] is going to look like, how are they going to interpret this?” A lot of times, to be honest, it’s not very good. Now that’s where we have to look at internally and kind of rationalize and say, “Okay, let’s find this. One of us will find [00:09:14].” But one example of that is traditionally, sales reps and sales teams will get the information in a flat Excel table. Just lots of rows and columns and just gibberish everywhere. That’s a very financial-centric view of sales data. But the reality is—I don’t know about the rest of mankind but I know for myself—I can’t remember much more than 10 numbers. The mental computational cost of extracting insights is just gargantuan. What happens is, I just don’t even bother to do it. I’m just like, “Yeah, whatever.” An equivalent of that is, you know if you get a big block of text in email? Even though if you took that same block of text and broke it up into two paragraphs or two sentence segments which is very easy to read when you put the effort in, but for me, if I get a big block of text, I’m not even going to read that. It’s kind of one of the same things that we see on the sales side. What we do is just say, “You know what? There’s a lot of really good information here and we need to make it digestible for our customers.” That’s where we found traditionally, visualization can be an incredibly effective tool to communicate insights to this casual data audience, to this casual data consumer. Brian: Do you have to work through the visuals with them? Do they tend to get it the first time? Is it a process of you share, “Here’s a report or here’s some new view on X.” How do you know if the visualization is actually allowing them to pull the insight out of what other [00:10:46] broad data? How do you know they’re actually “getting it”? Jason: That’s a great question. I’m a huge fan of simplicity. As analytics pros, we could very easily make very complex, very intricate models, and just, “Oh, look at how smart we are.” It doesn’t help our customers. It doesn’t help anything. Really what we do—this is going to get to the theme of simplicity—is we only use about two or three different visual types and we use mostly the exact same visual set-up. Just to kind of frame it, what I’m a big fan of is a simple bar chart. There’s more details attached to it but to the right of the bar chart, we’ll typically put a tabular data set. What we do is, as you think in US at least, we start in that left-hand side of the page or we […]. What we do is we look at the visual real estate. We say, “Our customers are going to start in the left-hand side. We want them to look at the bar chart because it allows them to very rapidly assimilate it at a high-level what’s going on.” It’s great at communicating at top-level churn very quickly but the trade-off is, is this horrible imprecision. You have no precision at all. What we like to do is then we address that issue by putting a simple table, very clean, very simple table over to the right. What that does is that then provides the precision that the customers are seeing in most financial-centric tables. What we found that does is that we have to train our sales team on one set-up and then that set-up is used virtually universally on all of our solutions. As an example, I can train a sales rep for probably five minutes on all of our reporting because if you understand one, you’re going to understand everything. That gets to the theme again of just simplicity. Don’t over complicate, keep it simple, keep it clean. Brian: I think those are good. A lot of times, when I work with engineering clients, they fall in love with consistency. I guess one point to maybe just the contrary of this is that, I think consistency is generally a good rule with design. We want to minimize unnecessary change but at the same time, I would recommend to listeners is to always look at context first, and context should always come in. Let’s say Jason comes up with report number 12 and they have 11 now or whatever, and it doesn’t feel right for number 11. That’s a place where a designer would probably push for, “Well, no. The 12th one actually needs to be different because it’s not […] 11th and even though it’s not consistent, in this context, we don’t need it to win. This version will deliver the usability and the utility that we’re looking for better than the other 11 will.” In general, I think it’s smart to not get creative unnecessarily with meaningless ink on the screen like, “Let’s try it this way. Let’s change the color palette. I’m tired of this.” Those are not good reasons for […], you’re just introducing noise and it’s unnecessary. But I like that you guys are thinking about simplicity and trying to reuse templates and not looking at it as a creative tableau. Ironically, people think it’s a creative “design” tool, but at the same time with all those weapons, you have a lot of different weapons you can use in that toolkit and part of that is knowing how to use this. It’s the same thing with Photoshop, a million buttons and all this stuff. The Photoshop doesn’t make you a designer. It’s being aware of your customer’s pain and the problems they need and knowing when to use all those filters and all those different things that it can do. I like that you guys are looking into that simplicity and reusing templates when it’s meaningful to do so. Jason: You bring up some great points and I 100% agree. My team that’s listening there, they’ll laugh because I beat it in their heads, “Context. Context, context, context.” Both in design as you’ve talked but especially with numbers in general. Like, “If I give you a number, a billion, that doesn’t mean anything, you got to have context.” I’d say the same is true for design just as you articulated. Great point. Brian: Where does the impetus for “everybody is a data company, everybody wants to do analytics”? But then there’s operationalizing that, there’s getting buy-in, leadership behind it. Where does that come from in your org? Where is the interest in taking a 130-year-old company and getting it to care about this? Where does that come from, your influence and all of that? Jason: That was driven by our current president because he saw it as part of a digital transformation. Obviously, this was an essential component of that. Obviously, we do a lot with analytics, but we’re also involved in a lot of other digital components that lead to that overall digital maturation. Analytics is a very, very big part of what we do but it’s not all that we do. We serve as kind of that quarterback for a lot of the digital initiatives to help basically, guide them through the process. Because even though some of the nuances of each of this project, each one will have its own nuances, they all come back to data. Data is the currency. We found out pretty quickly that if you want to stay relevant in this day and age, you need to be digitally evolved but more importantly, as you look at it, do you [compare the 00:16:02] advantage that you can derive from analytics? I would argue that gap is slowly closing known certain industries like manufacturing, but we probably have a little bit more runway [00:16:10] it. But for a lot of industries, analytics is becoming table stakes. It’s one of those where you can certainly expect incremental value and competitive advantage, but the question becomes how much longer. That was kind of the impetus of saying, “Hey, we got to get this going sooner rather than later.” Brian: Do you have people in sales that are resistant to using the reporting or taking advantage of your information or is it pretty ingrained in the company culture that it’s like, “This is a tool. Why would you not want to use it?” Or did you guys have a […] getting adoption? Jason: Yeah. I would say anytime you’re going through a transformation of this magnitude, it’s hard and I would say especially for other manufacturers. I found in general, manufacturing in general, tends to be one of the laggards industry-wise in analytical maturity. Unquestionably, it’s tough for no other reason than change is tough. You’re taking legacy plants, legacy steer pieces, legacy process, and some people has been around the company for decades potentially, and we’re asking them to change almost on a dime on their time scale how they do business. It’s not that it’s right or wrong but what we try to point out is that, as I always say, we have to acknowledge the past. We’ve been where we’ve been, we’ve been successful at where we been. But there’s been more change in the past two or three years than maybe you’ve seen in the past 15-20 years. In order to stay relevant, you really have to be ready to evolve, not only evolve but evolve quickly. But I have to openly acknowledge that that’s hard. It’s a hard proposition for a lot of people. Again, it comes down to change management and managing not only expectations but supporting that change. Change doesn’t happen by itself, we have to support that. That’s really what we try to coach through. The way that we try to do that is by developing a product with our customers. I’m sure as you can […], if you force something upon somebody, it doesn’t get received too well. But if you develop it in conjunction with them and do tie it around their needs, it tends to get better adaptation. Brian: You used the word product in there and I’m interested, do you see the outputs of your efforts? Primarily, it’s BI reporting as I understand it. Do you look at that as the product that you offer to sales? Is that kind of how you see it? Jason: Yeah. We offer a product in the form of the insight packages but it’s also the service. Service that goes with it where again, we serve as essentially internal consultant to help them along. If you take just the product-centric approach, you just deliver an insight package and you’re like, “Good luck. It’s [00:19:35]. Have at it.” What we do is we deliver the product and then we partner with them and say, “Okay, here’s what we see. Now, remember you’re talking about this going on in the channel last year and our note show that there’s been a lot of competitive activity in this area. Here’s some of the question that we have. You’re the expert, so what do you think?” What we found is that working together like that, we tend to get pretty good results versus just leaving these guys on an island to kind of figure it out themselves because they virtually always know the answer but sometimes it’s up to us using these products and then offering the service is to ask question that maybe aren’t getting asked. A lot of times, we find out that they know the answer it’s just that you kind of have to ask the question. Brian: Is that often like, “I was using XYZ report. Could you break this down by county instead of just by whatever because I feel there’s more people living in the East side of town and the average is here or […] the whole county. I really just need this one county because that’s where everyone lives. Is that really underserved? Blah, blah, blah,” that kind of stuff and then you guys will go off and work with them for more of that detail then maybe you release that back into the product as a feature if it seems like a one-off or something. Is that how it works? Jason: It’s actually a very fluid process. An example of what you just described is exactly what happens if hey come to us with questions. But we also do it where we flip it around because a lot of products that we create are more aggregate discussion tools. We don’t design a lot within our primary visualization package. To really get into the weeds and everything just becomes overwhelming. We have other tools like your traditional [00:21:22] pivot table to kind of dig into that stuff. But the exact example that you just gave, they will ask us those questions, but we will also flip the script and say, “Hey, we saw that the mechanical chain in the Northeast is up 50%,” I’m just making up a number, “and at a higher level, you can see that but when we segment it out, here’s what we see. Not only when we break this down to this level, we see that’s specifically being driven by A, B and C.” That gets to where I push heavier at my team to do root cause analysis. That’s really where we provide value is by digging into it and asking questions like that. Again, operating from the lens of trying to solve a problem or answer a question or root cause something in conjunction with the business. A lot of times, we will ask those questions and at the same time, they will ask us, which is great. It’s amazing because you get the better solution faster. Brian: I think that’s great. I’ve worked on several different tools that have varying sophisticated means of doing root cause analysis and I think it’s a really powerful way to bring some why to a what that has happened in the past. Most of the time, why is really where the money is at. The value comes in being able to understand why. A lot of times, we don’t have all the data. You can’t know for sure but a lot of times I tend to say, “Our guess, if they’re just going to make a WAG—a wild ass guess—then our guess, as long as we qualify what ingredients went into the pie, our guess may be better than any WAG.” They’re going to make one already. If they’re going to make a decision here and go off gut, there is maybe a chance they’re right and their experience will say something. But maybe our elementary root cause analysis, which we can improve over time, will actually be better and we can get out of the total guessing game and start with something that’s kind of a macro ballpark thing. Then overtime, you can improve that analysis as new data becomes available or maybe learn about how two variables are related in the business and you can bring that knowledge into the system. I totally hear what you’re saying. It’s a nice mix of internal product plus services and also, it sounds like it gets you guys do good discovery work as well. You guys are not just responding to questions but you’re maybe asking them questions together as a group. You kind of work through what opportunities maybe latent that no one’s talking about by asking questions using data to do that. Jason: Yeah. In the lens that we’ve been talking through, this is really sales-centric, but this applies to any group that we interact with. We have the same level of proactive discussion with any group that we interact with. In some of these, in our market research side, it’s 100% proactive. We’re going out there scouring for information and trying to see the other things that we see. That one it’s completely proactive and now we bring insights to the business and say, “What do you guys think?” The sales one is the most fun because, let’s be honest, there’s no business if you’re not selling anything and nothing happens until a sale is made. Brian: Right. I get that. You talked about other clients, do you work at all with the actual hardware, is there any IoT type of analytics going on with the boilers and machinery that you guys create? Jason: We’re early in that process. We actually are getting ready to go down that task very soon. On the hardware side, we tend to not have as much involvement. That’s really more on the engineering group. I think for any manufacturer product or engineering groups probably going to be the most involved in that. But obviously, we get involved into the discussions of answering the fundamental question. What are we actually going to do with this data when we collect it? Because as you can imagine, IoT can spit out a lot of data real quick. They can become incredibly burdensome very quickly if you don’t have a plan on how to manage it. But then, if you’re going to go through the effort of managing that, you got to be able to say, “What are we going to do with this?” Brian: Yeah. I guess the first thing that would come to mind for me would be predictive maintenance, like, “Is it going to break down soon?” I worked on a cooling company that does cooling and really as the guy told me is like, “We’re not selling refrigeration. We’re selling consistent temperature to our clients. It’s not really about coolers and all of that, so we need to deliver consistent temperature. If we don’t do that, they lose products, they can lose whatever is being stored in cold storage.” That is significant business. I’m sure for you guys, it’s heat, you want to sell heat so how do you get in front if there’s a maintenance plan or whatever, how do you stay on top of that kind of stuff? Jason: Absolutely. Brian: [00:26:13] IoT. One of my clients used this word one time, which I now use all the time which is like, “We don’t want a metrics toilet.” An example of you can get to a metrics toilet really quickly with every stat under the gun and how many ounces of water per minute through this pipe, that’s great because that’ll help me do, as a sales guy or as a technician, how am I going to use that information just because there’s a sensor on that pipe. It’s working something around like, “Oh, there’s a sensor. Put the data in the grid.” Jason: I’m going to have to borrow that. I’ll give credit whenever I use ‘metrics toilet,’ that’s a pretty good one. I may actually [00:26:56]. Brian: Nice. Tell me, where does it go from here? You had mentioned like, “Oh, the competitive edge, maybe it’s closing.” Or maybe you guys feel your competitors are all kind of maybe they’re doing the same thing that you guys are doing and we are all aware of where the data can be used to drive the business. Are there other places where you see design or technology like predictive analytics or machine learning and some of these other new technologies that are out there to help drive predictions and things like that? Are you guys leveraging any of that or have plans to look to the future? What does that look like? I know you probably can’t talk about everything but maybe broadly. Jason: Absolutely. I would say that that’s content that’s definitely, if it’s not already being done then it’s on our radar. We’ve got a pretty talented team here that goes a lot of your traditional data science turf. As you can probably surmise in this conversation, is in addition to having all skills, we’re probably the most heavily focused on the business side. As we say, we explore opportunities for a lot of this. We always look at it, again, like machine learning. Great, but we got to make sure it’s very powerful stuff. We got to make sure that whatever we’re embarking upon, because we have finite work capacity, if you pursue something, machine learning, it means we’re not doing something else. It’s not to say that it’s not important, but we really have to be able to answer to that question. Again, come back to, “This is our anchor. What are we going to do with it?” I love this stuff. I love the stats. I love machine learning, AI, all that stuff. If you’re not careful, you can really quickly get into an academic exercise that we think is really cool. “Oh wow, look at this. We’ve got this awesome algorithm here. It does all this magical stuff,” and then the business looks at it and goes, “Yeah, so what? I don’t care. How does that generate revenue? How does that improve our margins? How does that reduce our cost? How does that enable to build the sales pipeline?” If we can’t answer those base questions and we don’t get alignment, that’s probably the most important thing is executive buy-in on exactly what we’re going to be working on, why it’s important. No, we don’t pursue it but those things are most definitely, as with any analytics teams today, I think that that content is definitely being done and/or on your radar. Brian: You make a really good point. Sometimes I almost hesitate to ask the question. But I think it’s an exciting space in terms of predictive capability and removing viable analysis and what we call time tool time in the design world, there is there. But at the same time, you make a really good point which is again, these are tools that need to be leveraged to service an opportunity or a problem. The goal is not to go do the machine learning, the goal is to solve a business problem by which machine learning maybe applied a better […] do it, reduce cost or reduce effort, speed, something like that. I completely respect that. I’m glad to hear that you guy are looking that as not a leading step. I know there’s conflicting signals out there. I’ve been talking to people in the International Institute for Analytics about this and at the same time you hear a lot of stuff which is, “If AI is not part of your strategy, you’re going to be missing out,” and boards just want to hear that people are doing AI. At the same time, you’ve got academic exercises going on, you’ve got people trying to take on massive like, “We’re going to shoot for the moon,” and it’s like, “You don’t even have an airplane and you’re trying to go to the moon with this thing. Show us a small win if you’re going to do an investment in AI.” It’s okay to go try it out and say, “Let’s do a small thing but let’s try to solve a business problem or have some definable output that we’re looking to do here such that we’re not just writing code and doing experiments.” I hear there’s a problem with people putting this on their resume. It’s like people just want to have machine learning. Everyone’s a data scientist now that used to stay in analytics. [00:30:47] It’s scary in the sense of just wasting opportunity and wasting money because at some point, your smarter competitors are going to be saying, “This is a new hammer. Let’s find some nails that we can use for it. But we think […] right nails and it needs to be the right application before we whack at it. It’s not just […].” Jason: I really like your point because again, if my peers were listening to this they will laugh because they say, “We are professionals of this trade and the tools that we might want to use might not be the right tool to use for a specific job.” I couldn’t agree more with that sentiment. It’s one of those core philosophies that I have and share with my team. Also to it is with the AI. I think that you truly made a very astute observation here and comment in that, I think a lot of companies do feel compelled to have to make significant investment in AI like today. It’s not to say that there’s not merit. There clearly is plenty of merit and plenty of potential there, but kind of your point, I really believe that it’s much more beneficial when you really minimize the risk of project and budget flow and minimize overall project risk. You take that small bite and try a little bit, then try a little bit more. When you get to win, socialize the win, and your executives feel comfortable because I’ve done it on the analytics side. I went for a big bang approach and after nine months they were like, “Hey, man. Where’s the output?” All you need is to get bit by that once and then you realize that small quick wins are very effective because at its core, it’s really important to get executive buy-in. A lot of executives are not willing to wait nine months or a year for something when they’re expecting to see at three months. I totally agree with your sentiment. Brian: When you talked about the wins, I totally understand if you’re close to it and maybe hard to remember those, but is there a particular story or time where something in the product and the insights that you guys put out to your customers that it was like a real win, like a sales guy said something to you or maybe an executive said something to you about how this moved the needle, like this was a memorable moment for us. Like, “I changed a customer’s mind with this,” or, “We closed the sale that we never would have been looking over here if we didn’t do it.” Do you have any anecdotes like that that you can share? Jason: One that we had recently, again, just for confidentiality purposes I can’t get too deep. Brian: Sure. Jason: We did have one recently where we just basically revamped our insights packages that we distribute to our internal team. We really, really gathered feedback. We had version one, we gathered ton of feedback, kind of refined, iterated, got the feedback without making it a major release. Got feedback, refined it, refined it, and then what we did was, with a small group, we got that beta in their hand, they look at it and they’re like, “This is great. This is exactly what we need.” Because what we were doing, what we found was—I’m sure you’ve experienced this—everybody wants their own part of things. Everybody wants certain view of a report or they want certain insights or whatever it is, and it’s great. But if you have limited resources, really high-powered resources like an analytics team or data science team, you’re going to look at the opportunity cost of trying to do one of these one-offs, we were getting a ton of report flow. Again, what I tell my team, I don’t mean to be derogatory to the DI guys in this comment, but my team’s side, I always tell them, “We don’t create value if we’re just creating reports. We create value when we’re actually partnering with business to extract insights, identify opportunities amidst all that stuff that goes well with it.” What we realized though is that, what started out as a nice, clean, three- or four-page insights package and blow it up to like 20 and [34:21] doesn’t that meet our original criteria? Essentially, what we do is once we have the rationalization enough to say, “Okay, we’ve got all these stuffs right across 20 pages. We can actually distill it down to four pages.” It will give you the exact same information, but it might not look the exact way that you wanted it to look. The question becomes, are you willing to deal with less stuff and maybe have it look a little different, but you’ll get it in a much more concise package that you’re actually able to use and process? What we found out is that a lot of people were doing these packages and getting the reports that they want but they weren’t actually using them to drive decision-making because they can’t see the paragraph or the block of text story before. They look at it and they’re like, “I don’t know what the hell to do with this.” We would dial that in and it just been a screaming success. It’s really nice to have it where something like that you see the evolution of it. This is just one of those things that we had, and this was kind of a side package or wasn’t a primary, but it’s become a primary now because it’s so effective. Brian: Would you say that when you talk about reducing this, is the report like a PDF or do they access it through a browser the insights package? Jason: Yeah, we have the options to do both. We distribute it initially via PDF, sometimes along with our comments if there’s really, really big stuff in there. We’ll say, “Hey, we see this. Here’s a driver. Here’s a supplemental package.” A lot of times it’s PDF first and then if they want to go on the web, start interacting with it, they can do that. Those are nice, but the reality is a lot of them don’t do that which is understandable. Brian: You took it from 20 pages down to 4, is that what you’re saying? Jason: Yeah. Same information. Brian: This is a really good point. I’ve frequently had clients come in and they’re with data products and their concern is information overload. We’ve heard this a lot of times and the irony is that, the issue is usually not information overload. It’s usually a design problem that the information is not presented properly because sometimes, it can increase the density and increase the utility and usability, not the other way around. In fact, removing data can actually make it worse. A basic example of that is when you’re trying to compare A and B. If A and B are not on the same, what we call a viewport like in a browser world, it would be within the browser window there. When you require someone to toggle between two screens, they have to change context and visually, your eye can process the information a lot better when it’s within proximity. Sometimes, increasing the density actually will give you a better design. It takes more care in how you do it, but it’s not always about information overload, “Oh, it’s too crazy.” They may not get it on the first time but your sales people, if they’re looking at this stuff weekly or monthly, at some point they’re going to be pretty comfortable with this. I always tell my clients, “You need to look at the switch frequency as well because if it’s going to be used a lot, you can actually get more detailed and you can really push the, what you might see as complexity or the information density, can go up because they’re going to get familiar with the formatting. Typically, the density is actually going to probably improve the utility as long as care is given to the choices. But having that eyeball comparison without having to change pages and all of that, typically you’re going to give a better story as a broad rule. I like hearing that you guys went down in page count, up in density and in turn a better user experience at the end so that’s great. I think we’re about done here. I don’t have too many questions for you, but this is super great. One of the reasons I contacted Jason is because I remember seeing this quote, “Jason is like a category five hurricane in the data analytics world.” I’m like, “Who the hell is this guy? No one talks like that.” I started reading your stuff and I enjoyed watching your LinkedIn social posts and things like that. Where can people find out more about you? You’re obviously on LinkedIn, I can put LinkedIn in the show notes and stuff, but are you on Twitter, any social media places they can follow you? Jason: No, actually, I’m not on Twitter. But the best place unquestionably is going to be LinkedIn. I’m pretty involved there. I do like to engage. If you want to direct message me with questions, just talk, meetup, connect, whatever it is, I welcome that. I love the platform, it’s a great family. I just really started using it maybe nine months ago, really getting into it. It’s been great meeting guys like yourself. It’s actually phenomenal. Brian: Cool. I’ll put a link to Jason’s LinkedIn profile on there and you guys can find him. I recommend, especially if you’re in an internal analytics type of role at your company, to follow Jason and then check out what he has to say on there. This has been great. Thanks for coming on the show. I look forward to meeting you at some point in person. Jason: Dude, thank you for having me on here. I really appreciate it.

Idea Machines
Changing How We Do Science with Brian Nosek [Idea Machines #3]

Idea Machines

Play Episode Listen Later Dec 7, 2018 58:17


My guest this week is Brian Nosek, co-Founder and the Executive Director of the Center for Open Science. Brian is also a professor in the Department of Psychology at the University of Virginia doing research on the gap between values and practices, such as when behavior is influenced by factors other than one's intentions and goals. The topic of this conversation is how incentives in academia lead to problems with how we do science, how we can fix those problems, the center for open science, and how to bring about systemic change in general. Show Notes Brian’s Website Brian on Twitter (@BrianNosek) Center for Open Science The Replication Crisis Preregistration Article in Nature about preregistration results The Scientific Method If you want more, check out Brian on Econtalk Transcript Intro   [00:00:00] This podcast I talked to Brian nosek about innovating on the very beginning of the Innovation by one research. I met Brian at the Dartmouth 60th anniversary conference and loved his enthusiasm for changing the way we do science. Here's his official biography. Brian nozik is a co-founder and the executive director for the center for open science cos is a nonprofit dedicated to enabling open and reproducible research practices worldwide. Brian is also a professor in the department of psychology at the University of Virginia. He's received his PhD from Yale University in 2002 in 2015. He was on Nature's 10 list and the chronicle for higher education influence. Some quick context about Brian's work and the center for open science. There's a general consensus in academic circles that there are glaring problems in how we do research today. The way research works is generally like this researchers usually based at a university do experiments then when they have a [00:01:00] result they write it up in a paper that paper goes through the peer-review process and then a journal publishes. The number of Journal papers you've published and their popularity make or break your career. They're the primary consideration for getting a position receiving tenure getting grants and procedure in general that system evolved in the 19th century. When many fewer people did research and grants didn't even exist we get into how things have changed in the podcast. You may also have heard of what's known as the replication crisis. This is the Fairly alarming name for a recent phenomena in which people have tried and failed to replicate many well-known studies. For example, you may have heard that power posing will make you act Boulder where that self-control is a limited resource. Both of the studies that originated those ideas failed to replicate. Since replicating findings a core part of the scientific method unreplicated results becoming part of Cannon is a big deal. Brian has been heavily involved in the [00:02:00] crisis and several of the center for open science is initiatives Target replication. So with that I invite you to join my conversation with Brian idzik.   How does open science accelerate innovation and what got you excited about it?   Ben: So the  theme that  I'm really interested in is  how do we accelerate Innovations? And so just to start off with I love to ask you sort of a really broad question of  in your mind. How does having a more open science framework help us accelerate Innovations? And I guess parallel to that. Why what got you excited about it first place. Brian: Yeah, yeah, so that this is really a core of why we started the center for open science is to figure out how can we maximize the progress of science given that we see a number of different barriers to or number of different friction points to the PACE and progress of [00:03:00] Science. And so there are a few things. I think that how. Openness accelerates Innovation, and I guess you can think of it as sort of multiple stages at the opening stage openness in terms of planning pre-registering what your study is about why you're doing this study that the study exists in the first place has a mechanism of helping to improve Innovation by increasing The credibility of the outputs. Particularly in making a clear distinction between the things that we planned in advance that we're testing hypotheses of ideas that we have and we're acquiring data in order to test those ideas from the exploratory results the things that we learn once we've observed the data and we get insights but there are necessarily more uncertain and having a clear distinction between those two practices is a mechanism for. Knowing the credibility of the results [00:04:00] and then more confidently applying results. That one observes in the literature after the fact for doing next steps. And the reason that's really important I think is that we have so many incentives in the research pipeline to dress up exploratory findings that are exciting and sexy and interesting but are uncertain as if they were hypothesis-driven, right? We apply P values to them. We apply a story upfront to them we present them as. These are results that are highly credible from a confirmatory framework. Yeah, and that has been really hard for Innovation to happen. So I'll pause there because there's lots more but yeah, so listen, let's touch on that.   What has changed to make the problem worse?   Ben: There's there's a lot that right there. So you mentioned the incentives to basically make. Things that aren't really following the scientific method follow the clicker [00:05:00] following the scientific method and one of the things I'm always really interested in what has changed in the incentives because I think that there's definitely this. Notion that this problem has gotten worse over time. And so that means that that something has has changed and so in your mind like what what changed to make to sort of pull science away from that like, you know sort of ice training ideal of you have your hypothesis and then you test that hypothesis and then you create a new hypothesis to this. System that you're pushing back against. Brian: You know, it's a good question. So let me start with making the case for why we can say that nothing has changed and then what might lead to thinking something has changed in unpacking this please the potential reason to think that nothing has [00:06:00] changed is that the kinds of results that are the most rewarded results have always been the kinds of results that are more the most rewarded results, right? If I find a novel Finding rather than repeating something someone else has done. I'm like. To be rewarded more with publication without latex cetera. If I find a positive result. I'm more likely to gain recognition for that. Then a negative result. Nothing's there versus this treatment is effective, which one's more interesting. Well, we know which ones for interesting. Yeah. Yeah, and then clean and tidy story write it all fits together and it works and now I have this new explanation for this new phenomenon that everyone can can take seriously so novel positive clean and tidy story is the. They'll come in science and that's because it breaks new ground and offers a new idea and offers a new way of thinking about the world. And so that's great. We want those. We've always wanted those things. So the reason to think well, this is a challenge always is [00:07:00] because. Who doesn't want that and and who hasn't wanted that right? It turns out my whole career is a bunch of nulls where I don't do anything and not only fits together. It's just a big mess right on screen is not a way to pitch a successful career. So that challenge is there and what pre-registration or committing an advanced does is helps us have the constraints. To be honest about what parts of that are actual results of credible confrontations of pre-existing hypotheses versus stuff that is exploring and unpacking what it is we can find. Okay, so that in this in the incentive landscape, I don't think has changed. Mmm what thanks have changed. Well, there are a couple of things that we can point to as potential reasons to think that the problem has gotten worse one is that data acquisition many fields is a lot easier than it ever was [00:08:00] and so with access more data and more ways to analyze it more efficient analysis, right? We have computers that do this instead of slide rules. We can do a lot more adventuring in data. And so we have more opportunity to explore and exploit the malays and transform it into things signal. The second is that the competitive landscape is. Stronger, right there are fewer than the ratio of people that want jobs to jobs available is getting larger and larger and larger and that fact and then competitiveness for Grants and same way that competition than can. Very easily amplify these challenges people who are more willing to exploit more researcher degrees of freedom are going to be able to get the kinds of results more easily that are rewarded in the system. And so that would have amplify the presence of those in people that managed to [00:09:00] survive that competitive firm got it. So I think it's a reasonable hypothesis that people that it's gotten worse. I don't think there's definitive evidence but those would be the theoretical points. At least I would point to for that. That makes a lot of sense. So you had a just sort of jumping back. You had a couple a couple points and we had we have just touched on the first one.   Point Number Two about Accelerating Innovation   Ben: So I want to give you that chance to oh, yeah go back and to keep going through that. Brian:  Right. Yeah. So accelerating Innovation is the idea, right? So that's a point of participation is accelerating Innovation by by clarifying The credibility of claims as they are produced. Yes, we do that better than I think will be much more efficient that will have a better understanding of the evidence base as it comes out. Yeah second phase is the ability is the openness of the data and materials for the purposes of verify. Those [00:10:00] initial claims right? I do a study. I pre-registered. It's all great and I share it with you and you read it. And you say well that sounds great. But did you actually get that and what would have happened if you made different decisions here here and there right because I don't quite agree with the decisions that you made in your analysis Pipeline and I see some gaps there so you're being able to access the materials that I produced in the data that came from. Makes it so that you can one just simply verify that you can reproduce the findings that I reported. Right? I didn't just screw up the analysis script or something and that as a minimum standard is useful, but even more than that, you can test the robustness in ways that I didn't and I came to that question with some approach that you might look at it and say well I would do it differently and the ability to reassess the data for the same question is a very useful thing for. The robustness particularly in areas that are that have [00:11:00] complex analytic pipelines where there's are many choices to make so that's the second part then the third part is the ReUse. So not only should we be able to verify and test the robustness of claims as they happen, but data can be used for lots of different purposes. Sometimes there are things that are not at all anticipated by the data originator. And so we can accelerate Innovation by making it a lot easier to aggregate evidence of claims across multiple Studies by having the data being more accessible, but then also making that data more accessible and usable for. Studying things that no one no one ever anticipated trying to investigate. Yeah, and so the efficiency gain on making better use of the data that already exists rather than the Redundant just really do Revenue question didn't dance it your question you did as it is a massive efficiency. Opportunity because there is a lot of [00:12:00] data there is a lot of work that goes in why not make the most use of it began?   What is enabled by open science?   Ben: Yeah that makes a lot of sense. Do you have any like really good sort of like Keystone examples of these things in action like places where because people could replicate the. The the study they could actually go back to the pipeline or reuse the data that something was enabled. That wasn't that wouldn't have been possible. Otherwise, Brian: yeah. Well, let's see. I'll give a couple of local mean personal examples just to just to illustrate some of the points, please so we have the super fun project that we did just to illustrate this second part of the pipeline right this robustness phase of. People may make different choices and those choices may have implications for the reliability results. So what we did in this project was that we get we acquired a dataset [00:13:00] of a very rich data set of lots of players and referees and outcomes in soccer and we took that data set and then we recruit a different teams. 29 in the end different teams with lots of varied expertise and statistics and analyzing data and have them all investigate the same research. Which is our players with darker skin tone more likely to get a red card then players with lighter skin tone. And so that's you know, that's a question. We'll of Interest people have studied and then we had provided this data set. Here's a data set that you can use to analyze that and. The teams worked on their own and developed an analysis strategies for how they're going to test that hypothesis. They came up with their houses strategy. They submitted their analysis and their results to us. We remove the results and [00:14:00] then took their analysis strategies and then share them among the teams for peer review right different people looking at it. They have made different choices. They appear each other and then went back. They took those peer reviews. They didn't know what each other found but they took. Because reviews and they wanted to update their analysis they could and so they did all that and then submitted their final analyses and what we observed was that a huge variation in analysis choices and variation in the results. So as a simple Criterion for Illustrated the variation results two-thirds of the teams found a significant. Write P less than 0.05 standard for deciding whether you see something there in the data, right and Atherton teams found a null. So the and then of course they debated amongst each other which was analysis strategy was the right strategy but in the end it was very clear among the teams that there are lots of reasonable choices that could be made. And [00:15:00] those reasonable choices had implications for the results that were observed from the same data. Yeah, and it's Standard Process. We do not see the how it's not easy to observe how the analytics choices influence the results, right? We see a paper. It has an outcome we say those are what the those fats those the outcomes of the data room. Right, but what actually the case is that those are the outcomes the data revealed contingent on all those choices that the researcher made and so that I think just as an illustrative illustrative. So it helps to figure out the robustness of that particular finding given the many different reasonable choices. That one would make where if we had just seen one would have had a totally different interpretation, right either. Yeah, it's there or it's not there.   How do you encode context for experiments esp. with People?   Ben:  Yeah, and in terms of sort of that the data and. [00:16:00] Really sort of exposing the the study more something that that I've seen especially in. These is that it seems like the context really matters and people very often are like, well there's there's a lot of context going on in addition to just the procedure that's reported. Do you have any thoughts on like better ways of sort of encoding and recording that context especially for experiments that involve? Brian: Yeah. Yeah. This is a big challenge is because we presume particularly in the social and life sciences that there are many interactions between the different variables. Right but climate the temperature the time of day the circadian rhythms the personalities whatever it is that is the different elements of the subjects of the study whether they be the plants or people or otherwise, yeah. [00:17:00] And so the. There are a couple of different challenges here to unpack one is that in our papers? We State claims at the maximal level of generality. We can possibly do it and that that's just a normal pattern of human communication and reasoning right? I do my study in my lab at the University of Virginia on University of Virginia undergraduates. I don't conclude in the. University of university University of Virginia undergraduates in this particular date this particular time period this particular class. This is what people do with the recognition that that might be wrong right with recognition. There might be boundary conditions but not often with articulating where we think theoretically those boundary conditions could be so in one step of. Is actually putting what some colleagues in psychology of this great paper about about constraints on [00:18:00] generality. They suggest what we need in all discussion sections of all papers is a sexually say when won't this hold yeah, just give them what you know, where where is this not going to hold and just giving people an occasion to think about that for a second say oh. - okay. Yeah, actually we do think this is limited to people that live in Virginia for these reasons right then or no, maybe we don't really think this applies to everybody but now we have to say so you can get the call it up. So that alone I think would make a huge difference just because it would provide that occasion to sort of put the constraints ourselves as The Originators of findings a second factor, of course is just sharing as much of the materials as possible. But often that doesn't provide a lot of the context particularly for more complex experimental studies or if there are particular procedural factors right in a lot of the biomedical Sciences there. There's a lot of nuance [00:19:00] into how it is that this particular reagent needs to be dealt with how they intervention needs to be administered Etc. And so I like the. Moves towards video of procedures right? So there is a journal Journal of visualized events jove visualized experiments that that that tries to that gives people opportunities to show the actual experimental protocol as it is administered. To try to improve it a lot of people using the OSF put videos up of the experiment as they administered it. So to maximize your ability to sort of see how it is that it was done through. So those steps I think can really help to maximize the transparency of those things that are hard to put in words or aren't digitally encoded oil. Yeah, and those are real gaps   What is the ultimate version of open science?   Ben: got it. And so. In your mind what is sort of like the endgame of all this? What is it? Like what [00:20:00] would be the ideal sort of like best-case scenario of science? Like how would that be conducted? So I say you get to control the world and you get to tell everybody practicing science exactly what to do. What would that look like? Brian: Well, if it if I really had control we would just all work on Wikipedia and we would just revising one big paper with the new applicants. Ask you got it continuously and we get all of our credit by. You know logging how many words that I changed our words that survived after people have made their revisions and whether those words changed are on pages that were more important for the overall scientific record versus the less important spandrels. And so we would output one paper that is the summary of knowledge, which is what Wikipedia summarizes. All right, so maybe that's that's maybe going a little bit further than what like [00:21:00] that we can consider. The realm of conceptually possible. So if we imagine a little bit nearer term, what I would love to see is the ability to trace the history of any research project and that seems more achievable in the sense that. If a every in fact, my laboratory is getting close to this, right every study that we do is registered on the OSF. And once we finish the studies, we post the materials and the data or as we're doing it if we're managing the materials and data and then we attach a paper if we write a paper at the end preprint or the final report so that people can Discover it and all of those things are linked together. Be really cool if I had. Those data in a standardized framework of how it is that they are [00:22:00] coded so that they could be automatically and easily integrated with other similar kinds of data so that someone going onto the system would be able to say show me all the studies that ever investigated this variable associated with this variable and tell me what the aggregate result is Right real-time meta-analysis of the entire database of all data that I've ever been collected that. Enough flexibility would help to really very rapidly. I think not just spur Innovations and new things but to but help to point out where there are gaps right there a particular kinds of relationships between things particular effects of predict interventions where we know a ton and then we have this big assumption in our theoretical framework about how we get from X to y. And then as we look for variables that help us to identify whether X gets us to why we feel there just isn't stuff. The literature has not filled that Gap. So I think there are huge benefits for that [00:23:00] kind of aggregate ability. But mostly what I want to be able to do is instead of saying you have to do research in any particular way. The only requirement is you have to show us how you did your research and your particular way so that the marketplace of ideas. Can operate as efficiently as possible and that really is the key thing? It's not preventing bad ideas from getting into the system. It's not about making sure that the different kinds of best things are the ones that immediately are through with not that about Gatekeepers. It's about efficiency in how it is. We call that literature of figuring out which things are credible which things are not because it's really useful to. The ideas into the system as long as they can be. Self-corrected efficiently as well. And that's where I think we are not doing well in the current system. We're doing great on generation. [00:24:00] We're General kinds of innovative ideas. Yeah, but we're not is parsing through those ideas as efficiently as it could decide which ones are worth actually investing more resources in jumping. A couple levels in advance that   Talmud for Science   Ben:  that makes a lot of sense and actually like I've definitely come across many papers just on the internet like you go and Google Scholar and you search and you find this paper and in fact, it has been refuted by another paper and there's no way to know that yeah, and so. I does your does the open science framework address that in any way? Brian:  No, it doesn't yet. And this is a critical issue is the connectivity between findings and the updating of knowledge because the way that like I said doesn't an indirect way but it doesn't in the systematic way that actually would solve this problem. The [00:25:00] main challenge is that we treat. Papers as static entities. When what their summarizing is happening very dynamically. Right. It may be that a year later. After that paper comes out one realizes. We should have analyze that data totally different. We actually analyzed it wrong is indefensible the way that we analyzed it. Right right. There are very few mechanisms for efficiently updating that paper in a way that would actually update the knowledge and that's something where we all agree. That's analyze the wrong way, right? What are my options? I could. Retract the paper. So it's no longer in existence at all. Supposedly, although even retracted papers still get cited we guess nuts. So that's a base problem. Right or I could write a correction, which is another paper that comments on that original paper that may not itself even be discoverable with the original paper that corrects the analysis. Yeah, and that takes months and years. [00:26:00] All right. So the really what I think is. Fundamental for actually addressing this challenge is integrating Version Control with scholarly publishing. So that papers are seen as Dynamic objects not static objects. And so if you know what I would love to see so here's another Milestone of this if we if I could control everything another Milestone would be if a researcher could have a very productive career with. Only working on a single paper for his or her whole life, right? So they have a really interesting idea. And they just continue to investigate and build the evidence and challenge it and figure, you know, just continue to unpack it and they just revise that paper over time. This is what we understand. Now, this is where it is. Now. This is what we've learned over here are some other exceptions but they just keep fine-tuning it and then you get to see the versions of that paper over its [00:27:00] 50-year history as that phenomenon got unpacked that. Plus the integration with other literature would make this much more efficient for exactly the problem that you raised which is we with papers. We don't know what the current knowledge base is. We have no real good way except for these. These attempts to summarize the existing literature with yet a new paper and that doesn't then supersede those old papers. It's just another paper is very inefficient system.   Can Social Sciences 'advance' in the same way as the physical sciences?   Ben: Ya know that that totally makes sense. Actually. I just I have sort of a meta question that I've argued with several people about which is do you feel like. We can make advances in our understanding of sort of like [00:28:00] human-centered science in the same way that we can in like chemistry or physics. Like people we very clearly have like building blocks of physics and the Builds on itself. And there's I've had debates with people about whether you can do this in. In the humanities and the social sciences. What are your thoughts on that? Brian:  Yeah. It is an interesting question and the. What seems to be the biggest barrier is not anything about methodology in particular but about complexity? Yeah, right, if the problem being many different inputs can have similar impact cause similar kinds of outcomes and singular inputs can have multivariate outcomes that it influences and all of those different inputs in terms of causal elements may have interactive effects on the [00:29:00] outs, so. How can we possibly develop Rich enough theories to predict the actions effectively and then ultimately explain the actions effectively of humans in a complex environments. It doesn't seem that we will get to the beautiful equations that underlie a lot of physics and chemistry and count for a substantial amount of evidence. So the thing that I don't feel like I under have any good hand along with that is if it's a theoretical or practical limit right is it just not possible because it's so complex and there isn't this predicted. Or it's just that's really damn hard. But if we had big enough computers if you had enough data, if we were able to understand complex enough models, we would be able to predict it. Right so is as a mom cycle historians, right? They figure it out right the head. [00:30:00] Oxidizing web series righty they could account for 99.9 percent of the variance of what people do next and but of course, even there it went wrong and that was sort of the basis of the whole ceilings. But yeah, I just don't know I don't have a way to. I don't yet have a framework for thinking about how is it that I could answer that question whether it's a practical or theoretical limit. Yeah. What do you think? Ben:  What do I think I think that it's great. Yeah, so I usually actually come down on the I think it's a practical limit now how much it would take to get there might make it effectively a theoretical limit right now. But that there's there's nothing actually preventing us from like if you if you could theoretically like measure everything why not? I [00:31:00] think that is just with again. It's like the it's really a measurement problem and we do get better at measuring things. So that's the that's that's where I come down on but I.   How do you shift incentives in science?   Yep, that's just purely like I have no good argument. going going back to the incentives. It seems to me like a lot of what like I'm completely convinced that these changes would. Definitely accelerate the number of innovations that we have and so and it seems like a lot of these changes require shifting scientists incentives. And so and that's like a notoriously hard thing so we both like how are you going about shifting those incentives right now and how might they be shifted in the future. [00:32:00] Brian: Yeah, that's a great question. That's what we spend. A lot of our time worrying about in the sense of there is very little at least in my experience is very distal disagreement on the problems and the opportunities for improving the pace of Discovery and Innovation based on the solutions. It really is about the implementation. How is it that you change that those cultural incentives so that we can align. The values that we have for science with the practices that researchers do on a daily basis and that's a social problem. Yeah, there are technical supports. But ultimately it's a social problem. And so the the near term approach that we have is to recognize the systems of rewards as they are. And see how could we refine those to align with some of these improved practices? So we're not pitching. Let's all work on [00:33:00] Wikipedia because that's that is so far distant from. What they systems have reward for scientist actually surviving and thriving in science that we wouldn't be able to get actually pragmatic traction. Right? So I'll give one example of can give a few but here's the starting with one of an example that integrates with current incentives but changes them in a fundamental way and that is the publishing model of registered reports. Sophie in the standard process right? I do my research. I write up my studies and then I submit them for peer review at the highest possible prestigious Journal that I can hoping that they will not see all the flaws and if they'll accept it. I'll get all the do that process me and I understand it anyway - journal and the P plus Terminal C and eventually somewhere and get accepted. The register report model makes one change to the process and that is to move. The critical point of peer review [00:34:00] from after the results are known and I've written up the report and I'm all done with the research to after I've figured out what the question that I want to investigate is and what the methodology that I'm going to use so I don't have an observed the outcomes yet. All I've done is frame question. An articulated why it's important and a methodology that I'm going to just to test that question and that's what the peer reviewers evaluate right? And so the key part is that it fits into the existing system perfectly, right? The the currency of advancement is publication. I need to get as many Publications as I can in the most prestigious Outlets. I can to advance my career. We don't try to change that. Instead we just try to change. What is the basis for making a decision about publication and by moving the primary stage of peer reviewed before the results are known does a fundamental change in what I'm being rewarded for as the author [00:35:00] right? Yeah, but I'm being rewarded for as the author in the current system is sexy results, right get the best most interesting most Innovative results. I can write and the irony of that. Is that the results of the one thing that I'm not supposed to be able to control in your study? Right? Right. What I'm supposed to be able to control is asking interesting questions and developing good methodologies to test those questions. Of course that's oversimplifying a bit. There are in there. The presumption of emphasizing results is that my brilliant insights at the outset of the project are the reason that I was able to get those great results, right, but that depends on the credibility of that entire Pipeline and put that aside but the moving it to at the design stage means that my incentive as an author is to ask the most important questions that I can. And develop the most compelling and effective and valid methodologies that I can to test them. [00:36:00] Yeah, and so that changes to what it is presumably we are supposed to be being rewarded for in science. The other thing that it changes in the there's a couple of other elements of incentive changes that it has an impact on that are important for the whole process right for reviewers instant. It's. When I am asked to review a paper in my area of research when I when all the results are there, I have skin in the game as a reviewer. I'm an expert in that area. I may have made claims about things in that particular area. Yeah, if the paper challenges my cleanse make sure to find all kinds of problems with the methodology. I can't believe they did this is this is a ridiculous thing, right? We write my paper. That's the biggest starting point problem challenge my results all well forget out of you. But the amount of course if it's aligned with [00:37:00] my findings and excites me gratuitously, then I will find lots of reasons to like the paper. So I have these Twisted incentives to reinforce findings and behave ideologically as a reviewer in the existing system by moving peer review to the design stage. It fundamentally changes my incentives to right so say I'm in a very contentious area of research and there's only ten opponents on a particular claim when we are dealing with results You can predict the outcome right it people behave ideologically even when they're not trying to when you don't know the results. Both people have the same interests, right? If I truly believe in the phenomenon that I'm studying and the opponents of my point of view also believe in their perspective, right then both want to review that study and that design and that methodology to maximize its quality to reveal the truth, which I think I [00:38:00] have and so that alignment actually makes adversaries. To some extent allies and in review and makes the reviewer and the author more collaborative, right the feedback that I give on that paper can actually help the methodology get better. Whereas in the standard process when I say here's all the things you did wrong. All the author has this to say well geez, you're a jerk. Like I can't do anything about that. I've already done the research and so I can't fix it. Yeah. So the that shifts earlier is much more collaborative and helps with that then the other question is the incentives for the journal right? So in the. Journal editors have strong incentives of their own they want leadership. They want to have impact they don't want the one that destroyed their journal and so [00:39:00] the incentives and the in the existing model or to publish sexy results because more people were read those results. They might cite those results. They might get more attention for their Journal, right? And shifting that to on quality designs then shift their priorities to publishing the most rigorous research the most rust robust research and to be valued based on that now. Yeah, so I'll pause there there's lots of other things to say, but those I think are some critical changes to the incentive landscape that still fits. Into the existing way that research is done in communicated.   Don't people want to read sexy results?   Ben: Yeah. I have a bunch of questions just to poke at that last point a little bit wouldn't people still read the journals that are publishing the most sexy results sort of regardless of whether they were web what stage they're doing that peer review. Brian:  Yeah. This is a key concern of editors and thinking about adopting registered reports. [00:40:00] So we have about a hundred twenty-five journals that are offering this now, but we continue to pitch it to other groups and other other ones, but one of the big concerns that Hunters have is if I do this then I'm going to end up publishing a bunch of no results and no one will read my journal known will cite it and I will be the one that ruined my damn door. All right. So it is a reasonable concern because of the way the system works now, so there's a couple answers to that but the one is empirical which is is it actually the case that these are less red or less cited than regular articles that are published in those. So we have a grant from the McDonald Foundation to actually study registered reports. And the first study that we finished is a comparison of articles that were done as register reports with this in the same published in the same Journal. [00:41:00] Articles that were done the regularly to see if they are different altmetrics attention, right citation and attention and Oppa in media and news and social media and also citation impact at least early stage citation impact because the this model is new enough that it isn't it's only been working for since 2014. In terms of first Publications and what we found in that is that at least in this initial data set. There's no difference in citation rates, and if anything the register report. Articles have gotten more altmetric impact social media news media. That's great. So at least the initial data suggests that who knows if that will sustain generalize, but the argument that I would make in terms of a conceptual argument is that if Studies have been vetted. In terms of without knowing the results. These are important results to know [00:42:00] right? So that's what the actors and the reviewers have to decide is do we need to know the outcome of this study? Yeah, if the answer is yes that this is an important enough result that we need to know what happened that any result is. Yeah, right. That's the whole idea is that we're doing the study harder find out what the world says about that particular hypothesis that particular question. Yeah, so it become citable. Whereas when were only evaluating based on the results. Well, yeah things that Purity people is that that's crazy, but it happened. Okay, that's exciting. But if you have a paper where it's that's crazy and nothing happened. Then people say well that was a crazy paper. Yeah, and that paper would be less likely to get through the register report kind of model that makes a lot of sense. You could even see a world where because they're being pre-registered especially for more like the Press people can know to pay attention to it. [00:43:00] So you can actually almost like generate a little bit more height. In terms of like oh we're not going to do this thing. Isn't that exciting? Yeah, exactly. So we have a reproducibility project in cancer biology that we're wrapping up now where we do we sample a set of studies and then try to replicate findings from those papers to see where where can we reproduce findings in the where are their barriers to be able to reproduce existing? And all of these went through the journal elife has registered reports so that we got peer review from experts in advance to maximize the quality of the designs and they published instead of just registering them on OSF, which they are they also published the register reports as an article of its own and those did generate lots of Interest rule that's going to happen with this and that I think is a very effective way to sort of engage the community on. The process of actual Discovery we don't know the answer to these [00:44:00] things. Can we build in a community-based process? That isn't just about let me tell you about the great thing that I just found and more about. Let me bring you into our process. How does were actually investigating this problem right and getting more that Community engagement feedback understanding Insight all along the life cycle of the research rather than just as the end point, which I think is much more inefficient than it could be.   Open Science in Competitive Fields and Scooping   Ben: Yeah and. On the note of pre-registering. Have you seen how it plays out in like extremely competitive Fields? So one of the world's that I'm closest to is like deep learning machine learning research and I have friends who keep what they're doing. Very very secret because they're always worried about getting scooped and they're worried about someone basically like doing the thing first and I could see people being hesitant to write down to [00:45:00] publicize what they're going to do because then someone else could do it. So, how do you see that playing out if at all? Brian: Yeah scoping is a real concern in the sense that people have it and I think that is also a highly inflated concern based on the reality of what happens in practice but nevertheless because people have the concern systems have to be built to address it. Yeah, so one simple answer on the addressing the concern and then reasons to be skeptical at the. The addressing the concern with the OSF you can pre-register an embargo your pre-registrations from to four years. And what that does is it still gets all the benefits of registering committing putting that into an external repository. So you have independent verification of time and date and what you said you were going to do but then gives you as the researcher the flexibility to [00:46:00] say I need this to remain private for some period of time because of whatever reason. As I need it to be private, right? I don't want the recent participants that I am engaged in this project to discover what the design is or I don't want it competitors to discover what the design is. So that is a pragmatic solution is sort of dress. Okay, you got that concern. Let's meet that concern with technology to help to manage the current landscape. There are a couple reasons to be skeptical that the concern is actually much of a real concerning practice Tristan. And one example comes from preprints. So a lot of people when they pre princess sharing the paper you have of some area of research prior to going through peer review and being published in a journal write and in some domains like physics. It is standard practice the archive which is housed at Cornell is the standard for [00:47:00] anybody in America physics to share their research through archive prior to publication in other fields. It's very new or unknown but emerging. But the exact same concern about scooping comes up regularly where they say there's so many people in our field if I share a preprint someone else with the lab that is productive lab is going to see my paper. They're going to run the studies really fast. They're going to submit it to a journal that will publish and quickly and then I'll lose my publication because it'll come out in this other one, right and that's a commonly articulated concern. I think there are very good reasons to be skeptical of it in practice and the experience of archive is a good example. It's been operating since 1991 physicists early in its life articulated similar kinds of concerns and none of them have that concern now, why is it that they don't have that concern now? Well the Norms have shifted from the way you establish priority [00:48:00] is not. When it's published in the journal, it's when you get it onto archive. Right? Right. So a new practice becomes standard. It's when is it that the community knows about what it is you did that's the way you get that first finder Accolade and that still carries through to things like publication a second reason is that. We all have a very inflated sense of self importance that our great our kids right? There's an old saw in in venture capital of take your best idea and try to give it to your competitor and most of the time you can write. We think of our own ideas really amazing and everyone else doesn't yeah people sleeping other people. Is Right Southern the idea that there are people looking their chops on waiting for your paper your registration to show up so they can steal your [00:49:00] idea and then use it and claim it as their own is is great. It's shows High self-esteem. And that's great. I am all for high self. I don't know and then the last part is that. It is a norm violation to do that to such a strong degree to do the stealing of and not crediting someone else for their work, but it's actually very addressable in the daily practice of how science operates which is if you can show that you put that registration or that paper up on a independent service and then it was it appeared prior to the other person doing it. And then that other group did try to steal it and claim it as their own. Well, that's misconduct. And if they did if they don't credit you as the originator then that's something that is a norm violation and how science operates and I'm actually pretty confident in the process of dealing with Norm [00:50:00] violations in the scientific Community. I've had my own experience with the I think this very rarely happens, but I have had an experience with it. I've posted papers on my website before there were pretty print services in the behavioral sciences since I. Been a faculty member and I've got a Google Scholar one day and was reading. Yeah, the papers that I have these alerts set up for things that are related to my work and I paper showed up and I was like, oh that sounds related to some things. I've been working on. So I've clicked on the link to the paper and I went to the website. So I'm reading the paper. I from these authors I didn't recognize and then I realized wait that's that's my paper. I need a second and I'm an author and I didn't submit it to that journal. And it was my paper. They had taken a paper off of my website. They had changed the abstract. They run it through Google translate. It looks like it's all Gobbledy gook, but it was an abstract. But the rest of it was [00:51:00] essentially a carbon copy of our paper and they published. Well, you know, so what did I do? I like contacted the editor and we actually is on retraction watch this story about someone stealing my paper and retraction watch the laughing about it and it got retracted. And as far as we heard the person that had gone it lost their job, and I don't know if that's true. I never followed. But there are systems place is the basic point to deal with the Regis forms of this. And so I have I am sanguine about those not be real issues. But I also recognize they are real concerns. And so we have to have our Technology Solutions be able to address the concerns as they exist today. And I think the those concerns will just disappear as people gain experience.   Top down v Bottom up for driving change   Ben: Got it. I like that distinction between issues and concerns that they may not be the same thing. To I've been paying attention to   sort of the tactics that you're [00:52:00] taking to drive this adoption. And there's  some bottom up things in terms of changing the culture and getting  one Journal at a time to change just by convincing them and there's also been some some top-down approaches that you've been using and I was wondering if you could just sort of go through those and what you feel like. Is is the most effective or what combinations of things are are the most effective for really driving this change? Brian: Yeah. No, it's a good question because this is a culture change is hard especially with the decentralized system like science where there is no boss and the different incentive drivers are highly distributed. Right, right. He has a richer have a unique set of societies. Are relevant to establishing my Norms you could have funders that fund my work a unique set of journals that I publish in and my own institution. And so every researcher [00:53:00] has that unique combination of those that all play a role in shaping the incentives for his or her behavior and so fundamental change if we're talking about just at the level of incentives not even at the level of values and goals requires. Massive shift across all of those different sectors not massive in terms of the amount of things they need to shift but in the number of groups that need to make decisions tissue. Yeah, and so the we need both top-down and bottom-up efforts to try to address that and the top down ones are. That we work on at least are largely focused on the major stakeholders. So funders institutions and societies particularly ones that are publishing right so journals whether through Publishers societies, can we get them like with the top guidelines, which is this framework that that has been established to promote? What are the transparency standards? What could we [00:54:00] require of authors or grantees or employees of our organizations? Those as a common framework provide a mechanism to sort of try to convince these different stakeholders to adopt new standards new policies to that that then everybody that associated with that have to follow or incentivised to follow simultaneously those kinds of interventions don't necessarily get hearts and minds and a lot of the real work in culture change. Is getting people to internalize what it is that mean is good science is rigorous work and that requires a very bottom up community-based approach to how Norms get established Within. What are effectively very siloed very small world scientific communities that are part of the larger research community. And so with that we do a lot [00:55:00] of Outreach to groups search starting with the idealists right people who already want to do these practices are already practicing rigorous research. How can we give them resources and support to work on shifting those Norms in their small world communities and so. Out of like the preprint services that we host or other services that allow groups to form. They can organize around a technology. There's a preprint service that our Unity runs and then drive the change from the basis of that particular technology solution in a bottom-up way and the great part is that to the extent that both of these are effective they become self reinforcing. So a lot of the stakeholder leaders and editor of a journal will say that they are reluctant. They agree with all the things that we trying to pitch to them as ways to improve rigor and [00:56:00] research practices, but they don't they don't have the support of their Community yet, right. They need to have people on board with this right well in we can the bottom. It provides that that backing for that leader to make a change and likewise leaders that are more assertive are willing to sort of take some chances can help to drive attention and awareness in a way that facilitates the bottom-up communities that are fledgling to gain better standing and we're impact so we really think that the combination of the two is essential to get at. True culture change rather than bureaucratic adoption of a process that now someone told me I have to do yeah, which could be totally counterproductive to Scientific efficiency and Innovation as you described. Ben: Yeah, that seems like a really great place to to end. I know you have to get running. So I'm really grateful. [00:57:00] This is this has been amazing and thank you so much. Yeah, my pleasure.  

Experiencing Data with Brian O'Neill
001 – Kathy Koontz (International Institute for Analytics) on the growing need for UX and design in the analytics practice

Experiencing Data with Brian O'Neill

Play Episode Listen Later Nov 21, 2018 38:36


Kathy Koontz is the Executive Director of the Analytics Leadership Consortium at the International Institute for Analytics and my guest for today’s episode. The International Institute of Analytics is a research and advisory firm that discusses the latest trends and the best practices within the analytics field.  We touch on how these strategies are used to build accurate and useful custom data products for businesses. Kathy breaks down the steps of making analytics more accessible, especially since data products and analytics applications are more frequently being utilized by front-line workers and not PhDs and analytics experts. She uses her experience with a large property and casualty insurance company to illustrate her point about shifting your company’s approach to analytics to make it more accessible. Small adjustments to a data application make the process effective and comprehensible. Kathy brings some great insights to today’s show about incorporating analytic techniques and user feedback to get the most value from your analytics and the data products you build for the information. Conversation highlights: What is The International Institution of Analytics? What is the analytics leadership consortium? The “squishy” parts of analytics and how to compensate for them. The real value of analytics and how to use it on all levels of a company. How beta testers give perspective on data. The 3 steps to finding the ideal beta tester. Learning from the feedback and implementing it. How to keep ROI in mind during your project. Kathy’s parting advice for the audience. Resources and Links: The International Institute of Analytics Kathy Koontz on LinkedIn Surf Camps Thank you for joining us for today’s episode of Experiencing Data. Keep coming back for more episodes with great conversations about the world of analytics and data. Quotes from today’s episode: “Oftentimes data scientists see the world through data and algorithms and predictions and they get enamored with the complexity of the model and the strength of its predictions and not so much with how easy it is for somebody to use it.” — Kathy Koontz “You are not fully deployed until after you have received this [user] feedback and implemented the needed changes in the application.” — Kathy Koontz “Analytics especially being deployed pervasively is maybe not a project but more of a transformation program.” — Kathy Koontz “Go out and watch your user group that you want to utilize this data or this analytics to improve the performance.” — Kathy Koontz “Obviously, it’s always cheaper to adjust things in pixels, and pencils than it is to adjust it in working code.” — Kathy Koo Transcript Brian: I’m excited to have Kathy Koontz of the line. She is the Executive Director of the Analytics Leadership Consortium at the International Institute for Analytics. That’s quite a mouthful. Did I get that totally right? Kathy: Yeah. You did. I tell people, “Yes, it is a real job.” Yeah, you got it right, you nailed it. Brian: Tell our listeners, what does that mean? What do you do? Kathy: The International Institute for Analytics is an organization that was founded by Tom Davenport, one of the early readers and using analytics for business performance. We are research and advisory firm that helps companies realize value from analytics. Brian: How do you work with them in your leadership capacity there? What’s your specific role there? Kathy: I lead the product line that’s called the Analytics Leadership Consortium. What that is, is a group of analytics executives from different companies who are in non-competing industries that meet of a regular basis to better understand trends and best practices in analytics to vet ideas with one another and ensure that they’re doing the best that they can to deliver analytics value for their organization. A really great opportunity for leaders in this field of analytics that’s changing a lot and has a lot of emerging practices, have regular time to get together in a confidential setting to understand what’s working and what’s not, and how they can improve analytic values for their company. Brian: You mentioned trends, I obviously try to stay on top of what’s going on in that industry and that’s actually how I came across you, originally, I think was you guys had put on a webinar on five trends and analytics going on right now. At the end of that, you had mentioned that one of the things that’s starting to change now is the importance of design and user experience as we move beyond designing reports which is one of the most difficult deliverables, so to speak, of analytics—as we move into the user experience it’s becoming more important. That’s what I was like, “Oh, this could be really interesting to hear what you have to say about what’s changing. Why is UX now relevant? How is capital D design relevant to the world of analytics?” that’s what I was curious to learn about. Can you talk about that a little bit? Kathy: I think as analytics mature in organizations, the need for design is what’s going to drive adoption and utilization of those analytics. In companies that are just starting their analytics journey, it’s a little bit easier to realize analytic value by doing a couple of really big data science projects that don’t really require a lot of design thinking. It’s a powerpoint to an executive group that has some higher level of organizational level thinking that the executive lean in, understand the analytics, understand the value of making their decisions in line with the analytics and then move on and do their regular roles. But as the organizations try to make analytics more pervasive, particularly into front-line associates or individual contributors who are really using analytics to make a lot of small decisions within the execution of their work or as they try to integrate analytics into processes that are monitored, that design thinking taking an approach as user experience, can really break down a lot of barriers that organizations encounter when trying to have people who are not necessarily used to using analytics in their decision-making process, use them so that they can make a better decision for the organization. Brian: Got it. Is the trend that people are recognizing the problem because they went through some pain of maybe they delivered some big multimillion dollar platform, and like you said the front line associates didn’t use it. As I always use the example, it’s like, “They’re out driving a truck. They don’t have a laptop. They’re not going to go download a report and change the columns or whatever.” It’s like the wrong mechanism, you didn’t fit it into their job; you try to get them to change their job to accommodate your tool. Is the awareness because they went through a failure or is it like, “We already know this isn’t going to work if we don’t get the UX right,” just because companies are a little bit more design aware these days? What drove that to change? Why is it now? Kathy: I think there’s two things. First of all, they’ve failed, they invested millions of dollars in some sort of decision-support sort of application that may have millions of dollars and data integration work that we’ve done to build it and purchased a lot of really advanced software that can help users slice and dice the data and dive in and understand it. But they really took more of a data-centric approach rather than user-centric approach. They really didn’t take that extra step to say, “How does this person go through their normal day in their decision making. Where do they need this information in that decision making, and how should it be best presented so that they don’t have to do any cognitive task switching, that it just fits into how they go about making the decisions.” I think those failures are one big driver. But then I also think as organizations move up the analytics maturity curve and move from BI reports to predictive analytics to prescriptive analytics. Those prescriptive analytics are going to be much more pervasive across the organization. I think it’s this analytics maturity that’s also driving this need to put more design thinking into this creation of analytic products. Brian: Do you have any specific examples of a company that may have like, “Version one was X, and we didn’t get what we wanted. Version Y or X.2—we then went back and tried to fit this in better with that employee, and we saw some kind of change of result.” Can you cite any examples of how design allowed the data to actually be insightful and create a meaningful change? Kathy: One was a project that I was involved in at a large property and casualty insurance company. We were trying to alert our franchise insurance agents if they had somebody in their book of business who was likely to not renew. It was based on really good data science and model scores with different, clear […] that showed significant likelihood to a trait between them. It was originally deployed in a separate application with some general groupings of how likely they were to leave. The utilization of it was more of a curiosity at that point. There were some adopters, but not as broad as it would be hoped to really be able to substantially move the needle on this. As the design was redone and integrated into their overall CRM system—was legit on their CRM system that came up when they logged in in the morning, they didn’t have to go look to see, it was there for them. As we moved from groupings and scores, into one star to five stars, five star is they’re likely to go–you really need to work those. So just very simple little changes that drove a significant change in the utilization of that capability. Brian: Do you know what the blockers were such that it took a redesign? If someone was listening to this and they’re like, “I’m that person right now. We don’t want to go through the learning experience that your company went through.” What do you do to prevent that? Like, “Here are some roadblocks to watch out for.” Kathy: The thing is, these products are usually developed by folks within a data science group. We have the data, and we know this is a business problem, and we’ve done the analytics. That is expected but not sufficient. Then the next step is to really use just basic research techniques from consumer companies. Go out and watch your user group that you want to utilize this data or this analytics to improve the performance. See how they do their job, what tools do they use, where would this information be most relevant, how can it be presented in the context of their general activities, where it’s not a separate thing, where it’s integrated into the stuff that shows up of their performance evaluation. That’s the way to really avoid some of the deployments that may have really great data and science behind them, but don’t get user adoption that’s needed. Just take that extra step and really understanding the user and where this information is going to be most relevant for them. Brian: Do you think the appetite from executives and people that are at the top of the reporting chain for these things support the time and the effort to go out and do that type of research or to try to fit it in and not so much focus on “When are we releasing code? Show me some progress.” They want to see a glee. “Just show me some proof that these millions of dollars is doing something,” versus this kind of squishy. It can be squishy—at least in my experience with certain executives, especially qualitative stuff. “How many people did you talk to?” It’s like, “Oh, we talked to eight so far.” It’s like, “We have 10,000 employees.” It’s hard for certain ones to understand the value of qualitative research in these things. Do you have any experience or thoughts about that? Kathy: It can be squishy, but I think really analytics especially being deployed pervasively is maybe not a project but more of a transformation program and you have to take the transformation program perspective to it which includes such squishy things that change management and business process redesigned. Somebody using those analytics within their decision-making process is really where the organization gets value from. That code that gets released and deployed, it is an interim step. But it is not the final step to that organization getting value, maybe you’re just a data scientist of the company, trying to deploy a great app that could help a group of marketing folks better invest marketing, or supply chain folks better manage costs to suppliers. It doesn’t have to be this big concerted professional effort. One way to do that in a very agile, low-cost way is to find a couple of folks that seem to really jazzed about getting this and use them as some beta testers. Maybe you start out with just the information on a spreadsheet and say, “Hey, does this make sense just from this information that you would use?” And then have them walk you through, “Where would you use this information? How would it be best presented to you?” And then think about working within the constraints that you have of maybe you can’t change the screen for this digital marketing […] that somebody uses, but how can you make that information as accessible as possible, where it really is more of a push of information at the right time, as opposed to pull of information that a human being has to remember to go get when they’re in the process of executing their “day job”. Brian: You hit on some great stuff there. I talk about this to my list frequently which is understanding tasks and workflows and people’s day-to-day jobs that the goal is to fit your solution into their existing behavior as much as possible. It’s really hard to change behavior. “Oh, I got to go remember not to load this other screen and pull out those number of page two and paste this into the other screen and then hit enter and then it does some analytics.” These are the kind of stuff why people don’t bother to do it. It’s like, “Well, my guess is good enough. I’ve been doing this for 20 years. I’m this good. Whatever. No one’s going to know if I did that or not. They don’t know where that number came from.” They don’t want to do that. First of all, it’s to understand their pain, and then another good technique there is if you’re going to improve a process and we want people to use this tool in order to realize this new value, first of all, understand that benchmark of what their existing workflow, their playbook is and then ask them to do the same playbook using the new platform. This is a great way to uncover the things that you don’t know to ask about necessarily because if you first get that model of how they do it now, it’ll help elucidate those gaps that we can’t see. I just read an article, there is an example like, “Let’s imagine designing a new hotel room.” and you might take for granted that that hotel room has a bathroom. […] is talking about this. You’d be really surprised if you walked in and there was no bathroom because no one stated that was a requirement, and because everyone just took it for granted. It’s those kinds of things that you won’t see as a data scientist or product manager, perhaps because you don’t know what these front-line workers are necessarily doing all day. But I love that you talked about getting into the minds of what people are doing and fitting your solution into them. One problem I see is that in some places, it’s really hard to get access to customers. I think sometimes, this is more on enterprise companies that are selling a product that has a data-specific part of it, it can be hard to access them. You would think companies doing internal analytics that this would be easier. Do you think that comes from leadership? Do think that comes from the ground up? Any comments on how do you get access to the right people? What if they’re not being like, “Hey, I’m a call center. I get paid hourly by the number of calls I do, and you want me to go work on your new software?” How do you incentivize that so that they become a design partner which ultimately, is really where you want to go is to have a team of partners from subject matter experts, and product managers, the data science people, whoever it is that is going to affect the solution that comes out. What needs to change in order to incentivize that participation? It takes time to get these things right. Kathy: Yeah, for sure. We see that a lot just because as you noted, the breath of the organization or the different incentives and priorities that other groups might have. I hear companies all the time, senior leaders, we are going to be an analytics competitor, we’re going to do analytics. They think if they hire 200 Ph.D., data scientists that they are now an analytics company. I do think you’ve got to have somebody at a leadership role at least over the data science group say, “Look, this company gets value from this when we are making better decisions because of this analytics.” And those better decisions are going to come from people accessing the analytics. When they’re in their decision-making process, and really working more leader-to-leader. But that can’t be where it stops. You’ve got to create a peer relationship that all levels, number one. And then number two, if you get the leadership of the other group engaged early on—as this is a problem that they feel they have ownership in and that they are a co-creator with you, and starts at the leader level, and then works its way down—then, I think you’re going to have greater access and more ability to do that. Finally, in the absence of that, if you don’t get it right, then I would at least, as you’re deploying the new app, say, “Our next step is to watch the staff members use it and identify how to better integrate it.” So that at least you’re showing some leadership in your thinking that, “I know this is going to be a problem because I didn’t have access to them. I’m already teeing it up.” We’re going to have to come back and see how people are using it and how we can utilize some user experience and design thinking in the subsequent phase after […] is reached. Brian: Sure, sure. I think some of my clients in the past, they have to go through a failure first in order to decide that they don’t want to do it. We don’t want to do the build-first, design-second, process on the next one. There’s a certain level of convincing that can happen, and then at some point, you got to move forward because typically, IT or the business, they have been tasked with, “Deploy this new model and this software into the survey,” and they’re going to do that no matter what. They’re not going to stop and wait for design if that organization doesn’t have a matured design practice. So you might have to go through that. I would say, obviously, it’s always cheaper to adjust things in pixels, and pencils than it is to adjust it in working code. The more you can get in front of these decisions, and then form the engineering and the data science prior to deploying a large application, it’s a lot cheaper, and it’s a lot easier, and you don’t have all the change costs associated with that, both time, money, labor. No one likes to do it twice, most people want to work on new problems, they don’t want to redo the same ones. Engineers usually don’t like doing this, so getting in front of it is good. Kathy: I think what you’re touching on there is, maybe if you haven’t done your user design work, then you think about this release as a beta release. You plan this release, and you plan this app, and you manage your code knowing it’s going to change at some point, and knowing it’s going to change at some point, and knowing it’s going to change soon. The second thing is, key point is to decouple the analytics insight from the application. There is an analytic insight, whether it’s a number, or a recommendation, or some score, or something, is it is just loosely coupled to the delivery mechanism than it is easier from a code engineering perspective to have to it delivered in a different way. Brian: Right. No, that’s great. A part of that is that the attitude and culture of change and not falling in love with our first versions of stuff. To me, that has to be ingrained in both the engineering–all of the teams that are touching the product that the service that’s being put out there. A lot of companies say they’re doing agile. A lot of them are skipping one of the most important parts which is getting some customer representation involved, and actually, iterating and not just doing incremental design where you keep adding more, “Add another feature, add another data point,” that’s incremental design, that’s not iterating and changing as you get feedback. That’s something to watch out for as well. At some point, you need to get some stuff out there, and it costs to have come down obviously, to deploy software. It’s overall cheaper to get something out there quickly and to start getting feedback of it, but it’s very easy to no get the feedback and to let the working code feel like success. Until someone at the top is like, “Where is all the bang we’re supposed to get for this?” Kathy: I think the approach there is, get it deployed, so that’s great; it’s out there, and it’s working. But again, build into your deployment plan, use your feedback, and change from there. If you are not fully deployed, until after you have received this feedback and implemented the needed changes within the application, then I think that’s another way to prevent that falling in love with your first design. You know that this is just deployed so that people can use it, and that getting user feedback and making those needed changes is an expected part of the deployment process and is not a failure that the application was not sufficient. Brian: I think that should be part of any software development process to have a loop of test design, refine, deploy in the circle. For the most part, for larger applications, you’re never really done with it. It’s a process of getting better and figuring out the ROI like, “Have we hit the market? Is it worth spending more time and money on this?” but yeah, those are great insights. I’m curious in terms of the roles, I feel like someone that’s at the top of the responsibility chain here needs to have a healthy dose of skepticism about their own stuff, especially when it comes to prescriptive and predictive analytics or any service where it’s custom software they’re deploying into the organization have a healthy dose of skepticism about how great it really is. Maybe you deployed on time, bug-free, you can see the stats and all of these. But is that responsibility primarily falling into the data science realm because companies are investing in that area right now and so they become the de facto, what we would call a product manager more in the SaaS world? Did they become that and is that the right place for that responsibility to be? Kathy: I see that happen really, not necessarily through design and intention. But just because if a data scientist wants to take this great science that he’s discovered and make it accessible, in a lot of organization they have to do it, and so it’s put upon them when they’re probably not well prepared for that. I do think that that’s the problem. And then as a lot of different tool and capabilities make it easier for data scientist to deploy an application, if there’s not a really good user design construct within whatever application they’re deploying, in their data science application, then they need to be the one to take the extra step. As I said earlier, often times, the data scientist sees the world through data and algorithms and prediction. They get enamored with the complexity of the model and the strength of its prediction and not so much with how easy it is for somebody to use it. I think that’s probably a reorientation with training that should happen within data science groups around design,  best practices, and user experience design. They’re not going to evolve into great user experience designers, but they are going to be able to recognize something that’s really bad and perhaps ask for help and guide to make it better. Brian: Do you think that’ll stick then that that role will continue to live there? This person that needs to understand the business value that needs to be obtained, the user experience side of it and the technology side is trifecta there. Do you think that’ll stay in that data science world? Kathy: I don’t think so. I do think there will be a separation between the data application design and the creation of the data science that informs that […] in that application. I think as we talked about as some of these companies get more companies get more mature and need to have more pervasive deployment of data science insights, they are going to realize that they need to take a different approach. I often said that between data and analytics, I see the industry mature along the lines of software development. That design focus was not a big part of software development early on. I think it’s just going to have to happen within data science. Brian: I look at it this way, product owners can take many different titles. I have had all kinds of different clients, but ultimately, the box stops with everybody that’s working on it. But it helps to have someone that’s at that intersection of, “What do we need to do? What’s the overall picture of this?” and they understand the tech, the business, and the user experience side. Whatever the title of that person is, that role to me is really critical so that technology doesn’t run with everything. You have to have all three of those ingredients to deploy successfully, at least in my experience. It seems like that’s pretty critical to have that. Kathy: Yeah, for sure. A number of organizations that ask us about how do we show the value of our data science investments, how do we demonstrate our data science ROI. I think if more data science groups really looked at how their data science products were being consumed and started quantifying those, and then using some of the business metrics that are involved with that business process, whether it’s optimizing a spend or reducing average handle time at the call center, that would give them a great task to be able to validate their ROI to the organization, but I don’t see a lot of data science groups doing that. Brian: I’m curious, who ask that question? Is that the data scientist themselves or is it the business stakeholder who’s hiring the data scientist? What role asks that? Kathy: Usually, it’s a data science leader who has a large organization in large enterprise organizations. If you have a large organization with a lot of expensive resources, there is that continuing need to show the value that this organization brings to the overall company, especially when the output of that organization is not well understood or has not then a traditional part of that company. A lot of senior executives, C-Suite executives at large organizations, didn’t have data science when they were coming up through the ranks. This is something new that they don’t really understand, they know how much money they spend on it. A lot of data science organizations will need to demonstrate, “Here’s the hardline benefit that this company has gotten for investing in data science capabilities.” Brian: This blends nicely into my next question which is about obviously, AI, and machine learning are hot topics right now in technology. I hear this from people I talk to frequently which is, “Oh, the board knows we’re supposed to be doing some AI.” They’re asking me, “How many sensors do we have installed? Do we have digital transformation?” they ask these really high-end questions, and they want to go spend some money on it because they’re so afraid they’re going to miss the boat on that. From a design standpoint, we would say, “That smell, it reeks of possibly putting a cart before the horse.” The tool comes out, “We got to go buy this hammer because everyone else is buying this hammer. We have no idea what you hit with it, but we got to have it. We got to go spend some money on it.” How do you ensure that you don’t waste money? You want to invest in this. You don’t want to miss the boat. Maybe there’s potential for a project to deploy machine learning. It’s just pretty much what a lot of these companies are doing in terms of AI right now. How do you make sure that the desired investment from the business is actually going to have some ROI? They have heard this tool is hot. Kathy: It’s what I call the hype cycle mandate. Whatever is the new thing, it was a big data, it was AI and machine learning, with data sciences right, we have to have them, we have to tell the board we’re doing this. I think that is where executives earn their money, is being able to manage the message to the senior leaders who may not understand what’s needed and how you use it so that they can say, “Yes, we’re using it.” But the leadership than the executive leadership or the ones who has to go out and figure out where are the business problems and what is actually needed within our operating environment and our company to really deliver value from this capability. I will say, oftentimes, I see executives making the right call in that way. I have seen cases where folks have gone out and bought a lot of a software, and hardware and stuff that they have no idea of how they’re going to use, and that’s the shame. Brian: Do you think the right step there is to take on a small project, find a small win, show a small value and you can at least satisfy the, “Are we doing something?” “Yes, we’re doing some machine learning or whatever.” Do you think that’s the way it starts? Kathy: I am big just in any data […] investment, a big fan of used case-based development. Come up with a used case that requires this type of capability to execute it at the scale and precision that’s needed and then do some pilots to prove out the value, show the value, and then that then builds up a business case for the larger deployment that way. Yeah, I totally agree with that, Brian. Start with a used case, start small, understand, have an eye towards scaling as you start small, but get a small win, show that you’ve done it, the CEO can, in all honesty, say, “Yeah, we’re doing machine learning, and we’re going about it in a way that is physically sound but will also put us in a position to be able to compete with this capability in a quick amount of time.” Brian: That’s great. I think that I don’t know if I’ve said it, but this concept of falling in love with the problem and if you and your team, the people I work for you, or whoever it may be can fall in love with the problem and then weaponize your machine learning against that. That’s always a great thing, it’s to get everyone jazzed about the problem so that you know, especially if you can line it up with that technology not that the goal is to do that, but that’s when big wins happen to me, at least in my experience. This have been awesome. Do you have any advice, overall what will we talk about in terms of data product managers, data science managers, data science leaders, analytics leaders in terms of design, experience, what they should be looking for, going forward and just, in general, bringing more value to the customers. Is there a theme or something on your mind right now that needs to get mitigated to them? Kathy: My theme is a data science is about big complex data and a lot of technology and really advanced math, but they’re still human beings who have to use it. Don’t forget the humans. Focus in of how great this data set is that you created or how advanced this analytics technique that you’re using, but remember, the humans are your last line to realizing value from all of the stuff you’ve done before. Make sure you keep them in mind as you go through all of those other stuff as well. Brian: I think that’s great advice. And it sucks, those pesky humans. Kathy: I know, I know! They just get in the way of all those greatness! Brian: This is awesome. I have one last question for you and that’s have you ever surfed on a river? Kathy: I have not. Brian: I’m just curious. That came up in the webinar. I just saw this article on The Times about river surfing and I’m like, “I got to ask Kathy about this.” Kathy: Yeah. I’ve seen a lot of videos around that. I think it’s like this bore tide where the tidal action creates like this perfect wave that you can surf like forever. There’s some really good videos of folks doing that down in Brazil with some of the rivers that are draining out into the Amazon and other rivers that are draining out. It looks really awesome, but there’s this surf ranch in California that has this man-made wave. Kelly Slater, I think worked to create the engineering for this technology. That’s exactly what it looks like for those river-bore waves. But I’ve seen actually somebody in Munich surfing one of those […]. It’s on my bucket list, Brian. Brian: Sweet. I’m going to put a link to the surf camp, but where can we put some links to you? Where can people find you on the interwebs? Kathy: You can find me on LinkedIn, I am, Kathy Koontz. You can also find me at the International Institute for Analytics, it’s iianalytics.com, that’s our website. My LinkedIn name is customerjourneykoontz because that’s always been my passion is using data and analytics for customer journey. That’s where you can find me on LinkedIn. Brian: Cool. I will put those links in the show notes. This was super awesome. Thanks for coming and talking to me today. I’m sure people are going to enjoy listening to this. Thank you. Kathy: Thanks for having me, Brian. Have a good day. Brian: Alright, see you.

Adventures in Angular
AiA 216: Building a Complete Web Application from Scratch Alone with Amir Tugendhaft

Adventures in Angular

Play Episode Listen Later Nov 20, 2018 42:56


Panel: Aaron Frost Brian Love Special Guest: Amir Tugendhaft In this episode, Aaron and Brian talk with Amir Tugendhaft who is a web developer who is located in Israel. He finds much gratification developing and building things from scratch. Check out today’s episode where Aaron, Brian, and Amir talk about just that. Other topics include UI Design, Flexbox, UX design, PrimeNG, and ag-Grid. Show Topics: 0:00 – Advertisement: AngularBootCamp.Com 0:52 – Host: Welcome! Today’s panel is myself, Brian, and our guest is Amir Tugendhaft! 1:13 – Guest: I am a developer and experience with Angular and React. 1:56 – Host: You spend your days/nights there? 2:03 – Panel: He is committed. 2:08 – Host: I am going to back up a second, and Brian could you please introduce yourself, please? 2:26 – Brian: I am the CETO at an Angular consulting firm (Denver, CO). We have the pleasure with working with Aaron from time-to-time. My Twitter handle is @brian_love – check it out! 2:52 – Host: What is CETO stand for? 2:59 – Brian answers the question. Brian: I oversee the crew among other things. 3:31 – Host: What do you want to talk about today, Amir? You are the guest of honor today! 3:40 – Guest. 4:00 – Host: That is a lot of information – that might be more than 1 episode. We have to stay focused! 4:14 – Host: I read one of your recent blogs about Cross Filled Violators. I met you through your blog before we did the Host: Give us your own ideas about starting your own app. 4:50 – Guest answers the question. 6:17 – Host: I am biased. But here is a fact. I used to work on a large team (60 people) and everyone committing to the same page app. We were using Angular.js 1.5, which I think they are still using that. I know that it worked but it wasn’t the easiest or fastest one to maintain, but it worked. 7:05 – Brian. 7:10 – Host: What are you trying to do? React doesn’t fulfill that need. I think you are being hyperballic and using extreme cases as the norm. Let’s be honest: we do cool stuff with jQuery plugins when we didn’t have a framework. When they say that the framework is stopping them then I say: I agree to disagree. 8:00 – Host: What do you think, Amir? 8:04 – Guest: I don’t have preferences. I try to build applications through the technologies and create components and simple applications. 8:30 – Brian. 8:33 – Guest: You create the component, and then... 9:21 – Brian: You don’t have to have a template file and another file – right? 9:35 – Guest. 9:48 – Host: I do in-line styles and in-line templates. One thing I learned from React is that I like my HTML, style and code. I like it being the same file as my component. I like that about that: I like single file components. This promotes getting frustrated if it gets too big. Yeah if it’s more than 500 lines than you have to simplify. That’s one of the things that l like. 10:47 – Brian: Modules versus... 10:55 – Guest. 11:07 – Host: I think in React and Vue you have the word module but in JavaScript you have a file that exports... 11:26 – Host: I have my opinion here and talking with Joe. He made a good point: at a certain level the frontend frameworks are the same. You could be doing different things but they basically do the same thing. 13:57 – Guest: Basically what that means is that the technology used it will do the same thing. Your patterns and practices are huge. 14:17 – Brian: If you are talking about the 3 popular frameworks out there – they are basically doing the same thing. I like Angular a little big more, though. Like you said, Aaron, people tend to pick the same one. I like the opinionated things about Angular. You get properties, components or called props or inputs you are getting a lot of the same features. It comes down to your personal preference. 15:31 – Host: What else Amir? 15:35 – Guest: Let’s talk about the UI. 16:05 – Brian. 16:08 – Guest asks a question. 16:25 – Brian: How have you tackled this problem? 16:34 – Guest: I kind of ran with it. If there wasn’t something that I liked I started from scratch, because it really didn’t feel right. 16:51 – Brian: I am an enemy of starting over type of thing. You have a lot of engineers who START projects, and they can say that they start this piece, but the experts and choice team members have what it takes to ship a feature. I mean fully ship it, not just 80%, but also the final 20%. I think it takes a lot of pose decision making to say I want to rewrite it but not right now. I still need to ship this code. I have always been a bigger fan as not rewriting as much as possible; however, if you started with good patterns then that’s true, but if you are starting off with bad patterns then maybe yes. I like that opinion b/c you have to start right. Brian: How do you do your CSS? 19:05 – Guest. 19:52 – Advertisement: Get A Coder Job! 20:30 – Brian: How do you make those decisions, Amir? 20:39 – Guest: I see something that I like and ask myself how do I apply this to my design and I start scaling things. 21:50 – Host: Are you using a tool like Sketch for your initial UI design? 22:05 – Guest. 22:54 – Host: I worked on a project where the client had a designer (UX). 24:00 – Host and Guest go back-and-forth. 24:51 – Host: I am sure it’s all about the quality from your designer, too. Hopefully it works well for you and it’s quality. 25:18 – Host: There is a lot to building an app from scratch. I am not a good designer. I am not a designer – I mean straight-up. I got nothing. I appreciate team members that can do that. 26:06 – Guest: Do you write...? 26:35 – Host: Only on the most recent project. The designer didn’t own the HTML CSS but he initially wrote it and then gave it to me and now I own it, and it’s in components. If he wants updates then I have to go and make changes b/c he doesn’t know Angular. If it’s a sketch or a PNG you have to make it look like that. That’s what most of my career has been. Host: HTML and CSS got me 762x easier once Flexbox came around! I know there is a decimal there! 28:23 – Host talks about Flexbox some more. 28:42 – Guest asks a question. 28:50 – Host: I suppose if I really had heavy needs for a table then I would try CSS grid could solve some problems. I might just use a styled table. 29:12 – Brian: ag-Grid or something else. 29:21 – Host: On this recent project...I’ve used in-house design and other things. If I ever needed a table it was there. I don’t rebuild components b/c that can get expensive for me. 30:50 – Brian: Accessibility. 31:00 – Host: Your upgrade just got 10x harder b/c you own the component loop. I really don’t build tables or drop-downs. Only way is if I really need to build it for a specific request. 31:30 – Brian. 31:58 – Host: Let me give you an example. You can think I am crazy, but a designer gave me a drop-down but he told me to use PrimeNG. I had the chose of building my own drop-down or the designer has to accept whatever they gave him. I made the UI make what he wanted and I made the drop-down zero capacity and then... Host: When you click on what you see you are clicking on the... Host: Does that make sense? 33:35 – Guest. 33:50 – Host. 34:25 – Brian: That is interesting; remember when... 34:58 – Host: We will send this episode to Jeremy – come on Jeremy! Any last ideas? Let’s move onto picks! 35:20 – Advertisement – Fresh Books! 30-day free trial! END – Advertisement – Cache Fly! Links: Vue jQuery Angular React C# What is a UX Design? UI Design Flexbox Sketch ag-Grid PrimeNG Brian Love’s Twitter Aaron Frost’s Medium Amir’s Medium Amir’s Twitter Amir’s GitHub Amir’s LinkedIn Amir’s Facebook Sponsors: Angular Boot Camp Fresh Books Get a Coder Job Course Cache Fly Picks: Aaron Movie: “A Star Is Born” Concept - Model Driven Forms Amir Puppeteer Arrow Function Converter Brian TV Series: “The 100” Angular Schematics

All Angular Podcasts by Devchat.tv
AiA 216: Building a Complete Web Application from Scratch Alone with Amir Tugendhaft

All Angular Podcasts by Devchat.tv

Play Episode Listen Later Nov 20, 2018 42:56


Panel: Aaron Frost Brian Love Special Guest: Amir Tugendhaft In this episode, Aaron and Brian talk with Amir Tugendhaft who is a web developer who is located in Israel. He finds much gratification developing and building things from scratch. Check out today’s episode where Aaron, Brian, and Amir talk about just that. Other topics include UI Design, Flexbox, UX design, PrimeNG, and ag-Grid. Show Topics: 0:00 – Advertisement: AngularBootCamp.Com 0:52 – Host: Welcome! Today’s panel is myself, Brian, and our guest is Amir Tugendhaft! 1:13 – Guest: I am a developer and experience with Angular and React. 1:56 – Host: You spend your days/nights there? 2:03 – Panel: He is committed. 2:08 – Host: I am going to back up a second, and Brian could you please introduce yourself, please? 2:26 – Brian: I am the CETO at an Angular consulting firm (Denver, CO). We have the pleasure with working with Aaron from time-to-time. My Twitter handle is @brian_love – check it out! 2:52 – Host: What is CETO stand for? 2:59 – Brian answers the question. Brian: I oversee the crew among other things. 3:31 – Host: What do you want to talk about today, Amir? You are the guest of honor today! 3:40 – Guest. 4:00 – Host: That is a lot of information – that might be more than 1 episode. We have to stay focused! 4:14 – Host: I read one of your recent blogs about Cross Filled Violators. I met you through your blog before we did the Host: Give us your own ideas about starting your own app. 4:50 – Guest answers the question. 6:17 – Host: I am biased. But here is a fact. I used to work on a large team (60 people) and everyone committing to the same page app. We were using Angular.js 1.5, which I think they are still using that. I know that it worked but it wasn’t the easiest or fastest one to maintain, but it worked. 7:05 – Brian. 7:10 – Host: What are you trying to do? React doesn’t fulfill that need. I think you are being hyperballic and using extreme cases as the norm. Let’s be honest: we do cool stuff with jQuery plugins when we didn’t have a framework. When they say that the framework is stopping them then I say: I agree to disagree. 8:00 – Host: What do you think, Amir? 8:04 – Guest: I don’t have preferences. I try to build applications through the technologies and create components and simple applications. 8:30 – Brian. 8:33 – Guest: You create the component, and then... 9:21 – Brian: You don’t have to have a template file and another file – right? 9:35 – Guest. 9:48 – Host: I do in-line styles and in-line templates. One thing I learned from React is that I like my HTML, style and code. I like it being the same file as my component. I like that about that: I like single file components. This promotes getting frustrated if it gets too big. Yeah if it’s more than 500 lines than you have to simplify. That’s one of the things that l like. 10:47 – Brian: Modules versus... 10:55 – Guest. 11:07 – Host: I think in React and Vue you have the word module but in JavaScript you have a file that exports... 11:26 – Host: I have my opinion here and talking with Joe. He made a good point: at a certain level the frontend frameworks are the same. You could be doing different things but they basically do the same thing. 13:57 – Guest: Basically what that means is that the technology used it will do the same thing. Your patterns and practices are huge. 14:17 – Brian: If you are talking about the 3 popular frameworks out there – they are basically doing the same thing. I like Angular a little big more, though. Like you said, Aaron, people tend to pick the same one. I like the opinionated things about Angular. You get properties, components or called props or inputs you are getting a lot of the same features. It comes down to your personal preference. 15:31 – Host: What else Amir? 15:35 – Guest: Let’s talk about the UI. 16:05 – Brian. 16:08 – Guest asks a question. 16:25 – Brian: How have you tackled this problem? 16:34 – Guest: I kind of ran with it. If there wasn’t something that I liked I started from scratch, because it really didn’t feel right. 16:51 – Brian: I am an enemy of starting over type of thing. You have a lot of engineers who START projects, and they can say that they start this piece, but the experts and choice team members have what it takes to ship a feature. I mean fully ship it, not just 80%, but also the final 20%. I think it takes a lot of pose decision making to say I want to rewrite it but not right now. I still need to ship this code. I have always been a bigger fan as not rewriting as much as possible; however, if you started with good patterns then that’s true, but if you are starting off with bad patterns then maybe yes. I like that opinion b/c you have to start right. Brian: How do you do your CSS? 19:05 – Guest. 19:52 – Advertisement: Get A Coder Job! 20:30 – Brian: How do you make those decisions, Amir? 20:39 – Guest: I see something that I like and ask myself how do I apply this to my design and I start scaling things. 21:50 – Host: Are you using a tool like Sketch for your initial UI design? 22:05 – Guest. 22:54 – Host: I worked on a project where the client had a designer (UX). 24:00 – Host and Guest go back-and-forth. 24:51 – Host: I am sure it’s all about the quality from your designer, too. Hopefully it works well for you and it’s quality. 25:18 – Host: There is a lot to building an app from scratch. I am not a good designer. I am not a designer – I mean straight-up. I got nothing. I appreciate team members that can do that. 26:06 – Guest: Do you write...? 26:35 – Host: Only on the most recent project. The designer didn’t own the HTML CSS but he initially wrote it and then gave it to me and now I own it, and it’s in components. If he wants updates then I have to go and make changes b/c he doesn’t know Angular. If it’s a sketch or a PNG you have to make it look like that. That’s what most of my career has been. Host: HTML and CSS got me 762x easier once Flexbox came around! I know there is a decimal there! 28:23 – Host talks about Flexbox some more. 28:42 – Guest asks a question. 28:50 – Host: I suppose if I really had heavy needs for a table then I would try CSS grid could solve some problems. I might just use a styled table. 29:12 – Brian: ag-Grid or something else. 29:21 – Host: On this recent project...I’ve used in-house design and other things. If I ever needed a table it was there. I don’t rebuild components b/c that can get expensive for me. 30:50 – Brian: Accessibility. 31:00 – Host: Your upgrade just got 10x harder b/c you own the component loop. I really don’t build tables or drop-downs. Only way is if I really need to build it for a specific request. 31:30 – Brian. 31:58 – Host: Let me give you an example. You can think I am crazy, but a designer gave me a drop-down but he told me to use PrimeNG. I had the chose of building my own drop-down or the designer has to accept whatever they gave him. I made the UI make what he wanted and I made the drop-down zero capacity and then... Host: When you click on what you see you are clicking on the... Host: Does that make sense? 33:35 – Guest. 33:50 – Host. 34:25 – Brian: That is interesting; remember when... 34:58 – Host: We will send this episode to Jeremy – come on Jeremy! Any last ideas? Let’s move onto picks! 35:20 – Advertisement – Fresh Books! 30-day free trial! END – Advertisement – Cache Fly! Links: Vue jQuery Angular React C# What is a UX Design? UI Design Flexbox Sketch ag-Grid PrimeNG Brian Love’s Twitter Aaron Frost’s Medium Amir’s Medium Amir’s Twitter Amir’s GitHub Amir’s LinkedIn Amir’s Facebook Sponsors: Angular Boot Camp Fresh Books Get a Coder Job Course Cache Fly Picks: Aaron Movie: “A Star Is Born” Concept - Model Driven Forms Amir Puppeteer Arrow Function Converter Brian TV Series: “The 100” Angular Schematics

Devchat.tv Master Feed
AiA 216: Building a Complete Web Application from Scratch Alone with Amir Tugendhaft

Devchat.tv Master Feed

Play Episode Listen Later Nov 20, 2018 42:56


Panel: Aaron Frost Brian Love Special Guest: Amir Tugendhaft In this episode, Aaron and Brian talk with Amir Tugendhaft who is a web developer who is located in Israel. He finds much gratification developing and building things from scratch. Check out today’s episode where Aaron, Brian, and Amir talk about just that. Other topics include UI Design, Flexbox, UX design, PrimeNG, and ag-Grid. Show Topics: 0:00 – Advertisement: AngularBootCamp.Com 0:52 – Host: Welcome! Today’s panel is myself, Brian, and our guest is Amir Tugendhaft! 1:13 – Guest: I am a developer and experience with Angular and React. 1:56 – Host: You spend your days/nights there? 2:03 – Panel: He is committed. 2:08 – Host: I am going to back up a second, and Brian could you please introduce yourself, please? 2:26 – Brian: I am the CETO at an Angular consulting firm (Denver, CO). We have the pleasure with working with Aaron from time-to-time. My Twitter handle is @brian_love – check it out! 2:52 – Host: What is CETO stand for? 2:59 – Brian answers the question. Brian: I oversee the crew among other things. 3:31 – Host: What do you want to talk about today, Amir? You are the guest of honor today! 3:40 – Guest. 4:00 – Host: That is a lot of information – that might be more than 1 episode. We have to stay focused! 4:14 – Host: I read one of your recent blogs about Cross Filled Violators. I met you through your blog before we did the Host: Give us your own ideas about starting your own app. 4:50 – Guest answers the question. 6:17 – Host: I am biased. But here is a fact. I used to work on a large team (60 people) and everyone committing to the same page app. We were using Angular.js 1.5, which I think they are still using that. I know that it worked but it wasn’t the easiest or fastest one to maintain, but it worked. 7:05 – Brian. 7:10 – Host: What are you trying to do? React doesn’t fulfill that need. I think you are being hyperballic and using extreme cases as the norm. Let’s be honest: we do cool stuff with jQuery plugins when we didn’t have a framework. When they say that the framework is stopping them then I say: I agree to disagree. 8:00 – Host: What do you think, Amir? 8:04 – Guest: I don’t have preferences. I try to build applications through the technologies and create components and simple applications. 8:30 – Brian. 8:33 – Guest: You create the component, and then... 9:21 – Brian: You don’t have to have a template file and another file – right? 9:35 – Guest. 9:48 – Host: I do in-line styles and in-line templates. One thing I learned from React is that I like my HTML, style and code. I like it being the same file as my component. I like that about that: I like single file components. This promotes getting frustrated if it gets too big. Yeah if it’s more than 500 lines than you have to simplify. That’s one of the things that l like. 10:47 – Brian: Modules versus... 10:55 – Guest. 11:07 – Host: I think in React and Vue you have the word module but in JavaScript you have a file that exports... 11:26 – Host: I have my opinion here and talking with Joe. He made a good point: at a certain level the frontend frameworks are the same. You could be doing different things but they basically do the same thing. 13:57 – Guest: Basically what that means is that the technology used it will do the same thing. Your patterns and practices are huge. 14:17 – Brian: If you are talking about the 3 popular frameworks out there – they are basically doing the same thing. I like Angular a little big more, though. Like you said, Aaron, people tend to pick the same one. I like the opinionated things about Angular. You get properties, components or called props or inputs you are getting a lot of the same features. It comes down to your personal preference. 15:31 – Host: What else Amir? 15:35 – Guest: Let’s talk about the UI. 16:05 – Brian. 16:08 – Guest asks a question. 16:25 – Brian: How have you tackled this problem? 16:34 – Guest: I kind of ran with it. If there wasn’t something that I liked I started from scratch, because it really didn’t feel right. 16:51 – Brian: I am an enemy of starting over type of thing. You have a lot of engineers who START projects, and they can say that they start this piece, but the experts and choice team members have what it takes to ship a feature. I mean fully ship it, not just 80%, but also the final 20%. I think it takes a lot of pose decision making to say I want to rewrite it but not right now. I still need to ship this code. I have always been a bigger fan as not rewriting as much as possible; however, if you started with good patterns then that’s true, but if you are starting off with bad patterns then maybe yes. I like that opinion b/c you have to start right. Brian: How do you do your CSS? 19:05 – Guest. 19:52 – Advertisement: Get A Coder Job! 20:30 – Brian: How do you make those decisions, Amir? 20:39 – Guest: I see something that I like and ask myself how do I apply this to my design and I start scaling things. 21:50 – Host: Are you using a tool like Sketch for your initial UI design? 22:05 – Guest. 22:54 – Host: I worked on a project where the client had a designer (UX). 24:00 – Host and Guest go back-and-forth. 24:51 – Host: I am sure it’s all about the quality from your designer, too. Hopefully it works well for you and it’s quality. 25:18 – Host: There is a lot to building an app from scratch. I am not a good designer. I am not a designer – I mean straight-up. I got nothing. I appreciate team members that can do that. 26:06 – Guest: Do you write...? 26:35 – Host: Only on the most recent project. The designer didn’t own the HTML CSS but he initially wrote it and then gave it to me and now I own it, and it’s in components. If he wants updates then I have to go and make changes b/c he doesn’t know Angular. If it’s a sketch or a PNG you have to make it look like that. That’s what most of my career has been. Host: HTML and CSS got me 762x easier once Flexbox came around! I know there is a decimal there! 28:23 – Host talks about Flexbox some more. 28:42 – Guest asks a question. 28:50 – Host: I suppose if I really had heavy needs for a table then I would try CSS grid could solve some problems. I might just use a styled table. 29:12 – Brian: ag-Grid or something else. 29:21 – Host: On this recent project...I’ve used in-house design and other things. If I ever needed a table it was there. I don’t rebuild components b/c that can get expensive for me. 30:50 – Brian: Accessibility. 31:00 – Host: Your upgrade just got 10x harder b/c you own the component loop. I really don’t build tables or drop-downs. Only way is if I really need to build it for a specific request. 31:30 – Brian. 31:58 – Host: Let me give you an example. You can think I am crazy, but a designer gave me a drop-down but he told me to use PrimeNG. I had the chose of building my own drop-down or the designer has to accept whatever they gave him. I made the UI make what he wanted and I made the drop-down zero capacity and then... Host: When you click on what you see you are clicking on the... Host: Does that make sense? 33:35 – Guest. 33:50 – Host. 34:25 – Brian: That is interesting; remember when... 34:58 – Host: We will send this episode to Jeremy – come on Jeremy! Any last ideas? Let’s move onto picks! 35:20 – Advertisement – Fresh Books! 30-day free trial! END – Advertisement – Cache Fly! Links: Vue jQuery Angular React C# What is a UX Design? UI Design Flexbox Sketch ag-Grid PrimeNG Brian Love’s Twitter Aaron Frost’s Medium Amir’s Medium Amir’s Twitter Amir’s GitHub Amir’s LinkedIn Amir’s Facebook Sponsors: Angular Boot Camp Fresh Books Get a Coder Job Course Cache Fly Picks: Aaron Movie: “A Star Is Born” Concept - Model Driven Forms Amir Puppeteer Arrow Function Converter Brian TV Series: “The 100” Angular Schematics

Phantom Power: Sounds about Sound
Ep. 3: Dirty Rat (Brian House)

Phantom Power: Sounds about Sound

Play Episode Listen Later Apr 9, 2018 35:06


This time we talk with a fascinating sound artist and composer Mack met at a recent meeting of the Society for Literature, Science, and the Arts. As his website puts it, "Brian House is an artist who explores the interdependent rhythms of the body, technology, and the environment. His background in both computer science and noise music informs his research-based practice. Recent interests include AI, telegraphy, and urban rats." If that description looks a little daunting on the screen, the work itself sounds really cool to cris and Mack. We'll listen to three pieces of Brian's: a composition that imprints motion-tracking data on collectible vinyl, a field recording from the Okavango Delta in Botswana, and an encounter with the wildlife that put the "burrows" in New York's five boroughs.Links to works discussed: Quotidian Record (2012), Urban Intonation (2017).Mack notes that it was incredible to edit this episode using Daniel Fishkin's daxophone arrangement of John Cage's "Ryoanji" (1983).The other music on today's episode is by Brian House and Graeme Gibson. Transcript [♪ ethereal music playing ♪][CRIS CHEEK]This… is… Phantom Power.[FEMALE COMPUTERIZED VOICE]Episode 3.[CRIS]Dirty Rat.[unidentified sounds raising and lowering in pitch, banging noises][CRIS]So, what are we listening to here, Mack?[MACK HAGOOD]What do you think we’re listening to here, Cris?[noises continue, Mack laughing][CRIS]I don’t know, what is that? Is that an owl, put through a filtering device or something?[MACK, still laughing]You think it sounds like an owl put through a filtering device? Let’s listen to some more.[CRIS]Oh, wow. So synthetic.[MACK]It sounds like an old theatre organ having a bad day.[CRIS]Oh, yeah, no, I’m hearing that now. A pipe organ.[MACK]Yeah.[CRIS]Or something that hasn’t got a lot of wheeze left in it.[MACK]Something sad is happening in the silent film.[CRIS]Something very sad is happening.[MACK]Harold Lloyd fell off the clock.[both laughing][CRIS]And so he did.[MACK]Alright, so… it’s… it’s rats.[CRIS]That’s a rat?![MACK]That’s a rat.[clanging noises begin, rat noises stop][MACK]So today we’re gonna meet the guy behind the rat recordings that you just heard a moment ago:  Brian House. He’s a composer and sound artist I met last November at the Conference for the Society of Literature, Science, and the Arts, which is this really crazy conference for interdisciplinary scholarship and creative experimentation. I met Brian, and when I heard about what he was working on, I just knew we had to have him on the show. His work uses sound to express relationships between bodies, human and nonhuman bodies, social relationships, geographic relationships, temporal relationships, and sonic relationships. So we’ll be hearing three different pieces of his:  a musical composition that traces human, urban, and transatlantic movement, a field recording from the wetlands of Botswana, and an installation that will take us into the underground boroughs of New York City. This is work that helps us make sense of relationships we normally can’t sense at all.[BRIAN HOUSE]Well, my name is Brian House, and I’m an artist based right now up here in Providence, though I frequently do work down in New York. Yeah, I’m up here at Brown University at the moment, working on my PhD in music.[♪ upbeat technological music ♪][CRIS]So, Mack – how does Brian get interested in rats when he’s working on music?[MACK]Well, I think in order to get into that, we need to understand more of his previous work and some of the themes that are going on in it.[BRIAN]You know, I’ve been particularly interested in the ideas of Henri Lefebvre, right, who, in his last writings, outlined this poetic methodology called “Rhythm Analysis.”[MACK]Yeah, yeah, he was the French Marxist sociologist, spent a good amount of time thinking about life in the city, and –[CRIS]And the design of the urban environment, and –[BRIAN]And that’s been the basis for a lot of my rece...

Gospel Tangents Podcast
Did Emma Deny Joseph Practiced Polygamy?

Gospel Tangents Podcast

Play Episode Listen Later Jul 6, 2017 14:53


[paypal-donation] The RLDS Church was founded on the claim that Joseph Smith never practiced polygamy.  Even on her death bed, Emma Smith made the startling claim to some that Joseph never practiced polygamy.  Conservative bloggers such as Rock Waterman (see his post here) and even Denver Snuffer have made the claim that Joseph Smith was a monogamist.  However, current RLDS Church prophet/president Stephen Veazey has made the claim that historical records show that Joseph Smith did practice polygamy.  What does Dr. Brian Hales believe about these allegations about monogamy and Joseph Smith? I have an article that I have been pitching to different people to publish on the denials.  To be quite honest with you, there are at least two other denials that clearly were not senility, were clearly not specially phrased questions where Emma just comes right out and they're fairly well documented, said “Joseph did not practice polygamy.” How do I deal with that?  I don't know.  I do not have a good explanation.  I think Emma was an amazing woman.  I look forward to meeting her someday.  You know in our theology that's a possibility.  She had the worst row to hoe of all the polygamist wives in my view.  She did remarkably well.  She stumbled, but I believe there's plenty of forgiveness on these things for her, but I honestly don't know how she was able to say these things that she said.  Hopefully these will be published. I've put them together, I just haven't got them published yet.  It's pretty clear that she just denied it flat out.  I don't know how she made that work for her, but they're there. I also asked Brian how he deals with the idea that Joseph practiced only monogamy. Brian:  You know it's interesting, Rick, that you would bring that up because by the time this interview is aired, The Interpreter {a Mormon history journal} will have published a very long article that I have written where I don't just give evidence that Joseph did it, but I actually attack the arguments by, I mention Rock Waterman, I mention the Prices, and then Denver Snuffer who is in my view just the latest false prophet.  Remember I started looking at Mormon fundamentalism and I documented and wrote articles on men or came as great leaders who came for this reason or that reason and then they just fall by the wayside.  There's a number of these that I talk about in my book.  I think Denver is just the latest in all of this type of a pattern. For those who have questions, the easiest way probably to detect Denver is he said Joseph didn't practice polygamy, and then just look at the evidence.  I outline it all here.  It is true that most of the evidence that Joseph practiced plural marriage is from late sources, but not all of it.  The Nauvoo Expositor states right in there that Joseph Smith had a revelation.  It was read to the high council.  We've got testimonials from William Law and Jane Law saying that Joseph was teaching polygamy.  These are contemporaneous.  There are entries in William Clayton's journal.  John C. Bennett clearly had heard some rumors.  I don't know that he was ever in confidence of Joseph with it.  But to say that it's all old is not true.  There are some very important contemporaneous sources. What do you think of the arguments Brian makes against monogamy?  (As a reminder, this is part 10 of our conversation with Brian.  Check out parts 1-9 to learn the facts behind polygamy.)  Look below for a video and transcript. https://youtu.be/BxFWMzde2TY https://gospeltangents.com/shop/transcripts/emma-denied-joseph-practiced-polygamy/  

Gospel Tangents Podcast
Polygamy Rumors–Declaration on Marriage

Gospel Tangents Podcast

Play Episode Listen Later Jun 15, 2017 10:23


In our third conversation with Dr. Brian Hales we'll talk about the earliest rumors of polygamy.  In 1835, the Doctrine & Covenants published a Declaration on Marriage.  We've got a couple questions about that.  First of all, did Joseph Smith actually author that revelation or was it someone else like Oliver Cowdery? Brian:  You know in my volume one, I go into this in some detail, and what we find is yes Joseph was gone, and yes they were quick to get this passed.  In fact they called for this conference on Sunday to be done on Monday and there were almost no leaders there.  The Quorum of the Twelve there were almost no one present, the High Council really weren't represented.  The theory is that they were trying to get it pushed through before Joseph got back because Oliver had these reasons and stuff. I don't think so and I'm grateful for Michael Marquardt for helping me.  We sat one afternoon down in his basement and we went through all the documents, and what we find is at that at point in time they needed to go forward with printing the Doctrine & Covenants.  They had published we think most of the book up to section 101, which is the Article on Marriage and that they're having piles of all these papers around the printing office. So we think, or at least I think and I think Michael agrees that the driver at that point was really that they just wanted to get official approval so that they could finish publishing the Doctrine & Covenants and so I don't think that they were trying to do something backhanded with Joseph. When Joseph came back there's no evidence that he really disapproved of what had happened.  In fact he quotes or refers to the Article on Marriage two or three times later when he is performing marriages.  He said this declares our church's belief which they had to have in writing in order for the elders of the church to be authorized by the state to perform state recognized marriages, so there were a number of things.... GT interrupts:  So whether Oliver may have authored it or not, it didn't seem like it bothered Joseph at all and he was fine with it.  Is that safe to say? Brian:  I believe so.  I'd have to refresh my memory, but what we do know is he could have had it rescinded but he also quoted it as authoritative and Michael Marquardt pointed this out to me I think he's even published that somewhere that Joseph did consider it after the fact to be the official declaration of the church at that time. Second, was it a response to polygamy that could have been happening in the Kirtland community?  What does Dr. Brian Hales think about these things? Brian:  The first accusation against the Latter-day Saints, they weren't called that then, against the Mormons, the Mormonites, that they had embraced some alternate form of marriage, came in 1831.  It was in conjunction with the Law of Consecration and it was basically not only do they share everything, they share wives.  That was the accusation that came up. Of course it's easily refuted.  There's nothing to support that it was even thought of or discussed.  So when people say they were talking about polygamy in Kirtland, I would really like to see the data on that, that this was really a response to polygamy because my research shows that there was, with respect to Joseph and Fanny Alger, discussion of adultery and that was the claim that everybody was worried about.  I don't find anybody discussing polygamy during that period. Don't forget to check out parts 1 and 2 of our interview with Dr. Brian Hales.  When do you think polygamy started being practiced among the Mormons? https://youtu.be/UqoLrao3vs8 https://gospeltangents.com/shop/transcripts/polygamy-rumors-declaration-marriage/  

The Revisionists
Episode 43: Genghis Khan

The Revisionists

Play Episode Listen Later Apr 22, 2017 30:50


The hilarious Christie Buchele returns to the show as we discuss Genghis Khan! In this episode, Zach gives us a backdoor glimpse of his writing process, Christie drops her celebrity for the hot young Khan, and Brian tries out a new slogan for war crimes. *Apologies for the uneven audio quality of this episode. My software was acting up and I didn't catch it until it was too late. -Brian* You can help us get new equipment over on our Patreon page: https://patreon.com/therevisionists

A Cup Of English
Basic Pronunciation Practice #26 + Interactive English.

A Cup Of English

Play Episode Listen Later Nov 12, 2013 10:37


Brian: "What are all these boxes doing out in the hall?" Liz: "I decided that it was finally time for me to get organized?" Brian: "You? Organized?" Liz: "I'm not that bad, am I?" Brian: "Well, I don't know anyone else who loses her keys everyday, or her phone, or her bag." Liz: "That's called being normal." Brian: "Well, I don't lose my things everyday." Liz: "That's because you're not normal, ha, ha! I've made a resolution: I will be more organized. I'll use my iPhone calendar. I'll get rid of my junk, and become more efficient." Brian: "Wow! God help us all! An efficient Liz is hard to imagine." Liz: "That's because overly organized people like you lack imagination."   Questions or comments? Email me at acupofenglish@hotmail.com. Feel free to join me on my Facebook page called Anna Fromacupofenglish. You're all welcome.  Please rate my app or buy it by clicking the link. // //   //  

Hiroshima University's English Podcast
ドラマで英語を学ぼう (15) Adventure in Australia - Part 5

Hiroshima University's English Podcast

Play Episode Listen Later Aug 2, 2011


毎月第1週は「ドラマで英語を学ぼう」の新作「オーストラリアの冒険(Adventure in Australia)」をお届けしています。広島大学に留学していた、オーストラリア出身のHelen Needsさんが作成したオリジナルドラマです。3人の登場人物(Takako, Carmel, Brian)と一緒にオーストラリアを旅しながら、オーストラリアの英語や文化に触れてみましょう。 いよいよ最終回となりました。BrianとCarmel、Takakoは、いよいよ目的地に到着します。Takakoは二人と空港で再会してから、今までその場所を知らされていませんでした。このお楽しみの目的地はどこなのでしょうか。そしてTakakoはこの場所を気に入るのでしょうか。また、Takakoが嫌がっていた新しい仲間、ヒッチハイカーのNathanの行方は・・・? (聞き取りのポイント) ・TakakoとCarmelは何を忘れてきたことを残念がっていますか。 ・Nathanはdidge(オーストラリアの楽器)の演奏を皆に披露するつもりでしょうか。 ・解説を聞き、会話で使われている次の語句の意味を考えてみましょう。(1) I'll let you off. (2) Can't take the country out of the girl, eh? (3) What a bummer! 毎回、ドラマの中で使われている表現をJoeとKanaがていねいに解説します。 今回お借りした素材 写真:Wikipedia Download MP3 (19:51 11.5MB 中級) "Adventure in Australia" (C) 2011 Helen Needs and FLaRE.Adventure in Australia Written by Helen Needs (#5: At a campsite) Brian: What'd ya reckon? It was a good surprise, hey? Takako: Yeah, I'll let you off. I love this place! I can't wait to go swimming in the morning! Brian: I can't wait to see if the fish are biting. Fish for breakfast! Carmel: This fire's pretty good too. Good job, Takako. You've still got it. Can't take the country out of the girl, eh? Takako: You said it! I love a fire. What a bummer you forgot the marshmallows! Carmel: Oh, sorry. I'm disappointed too. Takako: It's OK. We'll survive. Brian: Hey, where's your friend? The hitchhiker. Takako: Thank goodness he took himself off to the other side. I thought for sure he'd want to hang around all night. Carmel: He seems alright. He's friendly. Takako: I could have sworn we'd be hearing some didge by now. Brian: You can put in a request… here he comes! Takako: What?… Oh dear. Carmel: Hiya, you get yourself set up alright? Have you eaten? We've got plenty of sausages left over if you're hungry. Nathan: Oh, thanks. That's sweet. I ate already. Brian: Where's your didge? Takako thought you might be coming over to serenade us. Nathan: I don't play. I'm just the carrier. I make strange squawky noises and spit a lot when I try to play. I can't get the breathing right. I came over to see if you like marshmallows! It's no fun toasting them by yourself, you know. Carmel: Really? Takako loves marshmallows! Takako: Oh, no…

Hiroshima University's English Podcast
ドラマで英語を学ぼう (15) Adventure in Australia - Part 5

Hiroshima University's English Podcast

Play Episode Listen Later Aug 1, 2011


毎月第1週は「ドラマで英語を学ぼう」の新作「オーストラリアの冒険(Adventure in Australia)」をお届けしています。広島大学に留学していた、オーストラリア出身のHelen Needsさんが作成したオリジナルドラマです。3人の登場人物(Takako, Carmel, Brian)と一緒にオーストラリアを旅しながら、オーストラリアの英語や文化に触れてみましょう。 いよいよ最終回となりました。BrianとCarmel、Takakoは、いよいよ目的地に到着します。Takakoは二人と空港で再会してから、今までその場所を知らされていませんでした。このお楽しみの目的地はどこなのでしょうか。そしてTakakoはこの場所を気に入るのでしょうか。また、Takakoが嫌がっていた新しい仲間、ヒッチハイカーのNathanの行方は・・・? (聞き取りのポイント) ・TakakoとCarmelは何を忘れてきたことを残念がっていますか。 ・Nathanはdidge(オーストラリアの楽器)の演奏を皆に披露するつもりでしょうか。 ・解説を聞き、会話で使われている次の語句の意味を考えてみましょう。(1) I'll let you off. (2) Can't take the country out of the girl, eh? (3) What a bummer! 毎回、ドラマの中で使われている表現をJoeとKanaがていねいに解説します。 今回お借りした素材 写真:Wikipedia Download MP3 (19:51 11.5MB 中級) "Adventure in Australia" (C) 2011 Helen Needs and FLaRE.Adventure in Australia Written by Helen Needs (#5: At a campsite) Brian: What'd ya reckon? It was a good surprise, hey? Takako: Yeah, I'll let you off. I love this place! I can't wait to go swimming in the morning! Brian: I can't wait to see if the fish are biting. Fish for breakfast! Carmel: This fire's pretty good too. Good job, Takako. You've still got it. Can't take the country out of the girl, eh? Takako: You said it! I love a fire. What a bummer you forgot the marshmallows! Carmel: Oh, sorry. I'm disappointed too. Takako: It's OK. We'll survive. Brian: Hey, where's your friend? The hitchhiker. Takako: Thank goodness he took himself off to the other side. I thought for sure he'd want to hang around all night. Carmel: He seems alright. He's friendly. Takako: I could have sworn we'd be hearing some didge by now. Brian: You can put in a request… here he comes! Takako: What?… Oh dear. Carmel: Hiya, you get yourself set up alright? Have you eaten? We've got plenty of sausages left over if you're hungry. Nathan: Oh, thanks. That's sweet. I ate already. Brian: Where's your didge? Takako thought you might be coming over to serenade us. Nathan: I don't play. I'm just the carrier. I make strange squawky noises and spit a lot when I try to play. I can't get the breathing right. I came over to see if you like marshmallows! It's no fun toasting them by yourself, you know. Carmel: Really? Takako loves marshmallows! Takako: Oh, no…

Hiroshima University's English Podcast
ドラマで英語を学ぼう (14) Adventure in Australia - Part 4

Hiroshima University's English Podcast

Play Episode Listen Later Jul 5, 2011


毎月第1週は「ドラマで英語を学ぼう」の新作「オーストラリアの冒険(Adventure in Australia)」をお届けしています。広島大学に留学していた、オーストラリア出身のHelen Needsさんが作成したオリジナルドラマです。3人の登場人物(Takako, Carmel, Brian)と一緒にオーストラリアを旅しながら、オーストラリアの英語や文化に触れてみましょう。 第四回目は、Brian、Carmel、Takakoがヒッチハイカーと話をしている場面です。 (聞き取りのポイント) ・Brianによれば、彼らの目的地はどこですか。 ・Nathanは興奮したらどのような癖があると言っていますか。 ・解説を聞き、会話で使われている次の語句の意味を考えてみましょう。(1) It’s good to boost the testosterone levels in here. (2) Should I hold my breath? 毎回、ドラマの中で使われている表現をJoeとKanaがていねいに解説します。 今回お借りした素材 写真:Wikipedia Download MP3 (18:00 10.3MB 中級) "Adventure in Australia" (C) 2011 Helen Needs and FLaRE.Adventure in Australia Written by Helen Needs (#4 Picking up a hitchhiker) Carmel: (whispering) Takako. He’s cute! Brian: Hey, mate. Can we give you a lift? But we’re not going far. Takako: We’re not? Brian: You’re welcome to get in ‘til Washpool. Takako: Oh, so you’ll tell him, but not me? Lucky! It’s Washpool! Nathan: Washpool? Really? That’d be awesome. You must be angels. I don’t usually hitch but I missed the last bus. I thought I’d make it on foot but the sun’s coming down so fast. I didn’t think I’d get there in time to set up my tent. And this damn didge is so heavy, I’ll never know why I agreed to carry it home for a mate. I’m heading back to Sydney after this. I’m a teacher. I’m having some personal days and the agency hasn’t had anything much for me. I took the opportunity while it was waving a big red flag in front of my face and shouting ‘pick me!’. Brian: So…that’s a yes, then? Nathan: Oh yeah, sorry. I talk a lot when I’m excited. Sorry, I won’t annoy you, I hope. Carmel: So, hop in. Hi, I’m Carmel. This is Brian. And this is Takako. Takako: Hi. Carmel: She’s a teacher, too. And she’s on holiday from Sydney. Road rage is her problem. Nathan: It’s bad, isn’t it? Sometimes I wonder what I’m doing there. I was born around these parts. They call me back every now and then. More now than then. I can’t thank you enough for the lift. I was starting to lose hope. And, my god, how good is the river at the moment? Just magic. Wish I had a canoe. Carmel: Is that so? Nathan: Sorry, talking again. Brian: It’s fine mate. It’s good to boost the testosterone levels in here. The girls were about to really start picking on me. I’m their favourite pastime on road trips. Carmel: No, we never. Brian, you really should go and see someone about these paranoid delusions of yours. Brian: See? Hey, you’re quiet, Takako. Takako: Yes, I am. I’m thinking of something particularly cruel to say. Give me a minute. It’ll come to me. Brian: Should I hold my breath? (Written by Helen Needs)

Hiroshima University's English Podcast
ドラマで英語を学ぼう (14) Adventure in Australia - Part 4

Hiroshima University's English Podcast

Play Episode Listen Later Jul 4, 2011


毎月第1週は「ドラマで英語を学ぼう」の新作「オーストラリアの冒険(Adventure in Australia)」をお届けしています。広島大学に留学していた、オーストラリア出身のHelen Needsさんが作成したオリジナルドラマです。3人の登場人物(Takako, Carmel, Brian)と一緒にオーストラリアを旅しながら、オーストラリアの英語や文化に触れてみましょう。 第四回目は、Brian、Carmel、Takakoがヒッチハイカーと話をしている場面です。 (聞き取りのポイント) ・Brianによれば、彼らの目的地はどこですか。 ・Nathanは興奮したらどのような癖があると言っていますか。 ・解説を聞き、会話で使われている次の語句の意味を考えてみましょう。(1) It’s good to boost the testosterone levels in here. (2) Should I hold my breath? 毎回、ドラマの中で使われている表現をJoeとKanaがていねいに解説します。 今回お借りした素材 写真:Wikipedia Download MP3 (18:00 10.3MB 中級) "Adventure in Australia" (C) 2011 Helen Needs and FLaRE.Adventure in Australia Written by Helen Needs (#4 Picking up a hitchhiker) Carmel: (whispering) Takako. He’s cute! Brian: Hey, mate. Can we give you a lift? But we’re not going far. Takako: We’re not? Brian: You’re welcome to get in ‘til Washpool. Takako: Oh, so you’ll tell him, but not me? Lucky! It’s Washpool! Nathan: Washpool? Really? That’d be awesome. You must be angels. I don’t usually hitch but I missed the last bus. I thought I’d make it on foot but the sun’s coming down so fast. I didn’t think I’d get there in time to set up my tent. And this damn didge is so heavy, I’ll never know why I agreed to carry it home for a mate. I’m heading back to Sydney after this. I’m a teacher. I’m having some personal days and the agency hasn’t had anything much for me. I took the opportunity while it was waving a big red flag in front of my face and shouting ‘pick me!’. Brian: So…that’s a yes, then? Nathan: Oh yeah, sorry. I talk a lot when I’m excited. Sorry, I won’t annoy you, I hope. Carmel: So, hop in. Hi, I’m Carmel. This is Brian. And this is Takako. Takako: Hi. Carmel: She’s a teacher, too. And she’s on holiday from Sydney. Road rage is her problem. Nathan: It’s bad, isn’t it? Sometimes I wonder what I’m doing there. I was born around these parts. They call me back every now and then. More now than then. I can’t thank you enough for the lift. I was starting to lose hope. And, my god, how good is the river at the moment? Just magic. Wish I had a canoe. Carmel: Is that so? Nathan: Sorry, talking again. Brian: It’s fine mate. It’s good to boost the testosterone levels in here. The girls were about to really start picking on me. I’m their favourite pastime on road trips. Carmel: No, we never. Brian, you really should go and see someone about these paranoid delusions of yours. Brian: See? Hey, you’re quiet, Takako. Takako: Yes, I am. I’m thinking of something particularly cruel to say. Give me a minute. It’ll come to me. Brian: Should I hold my breath? (Written by Helen Needs)