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In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss critical questions about integrating AI into marketing. You will learn how to prepare your data for AI to avoid costly errors. You will discover strategies to communicate the strategic importance of AI to your executive team. You will understand which AI tools are best for specific data analysis tasks. You will gain insights into managing ethical considerations and resource limitations when adopting AI. Watch now to future-proof your marketing approach! Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-generative-ai-strategy-mailbag.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn – 00:00 In this week’s In Ear Insights, boy, have we got a whole bunch of mail. We’ve obviously been on the road a lot doing events. A lot. Katie, you did the AI for B2B summit with the Marketing AI Institute not too long ago, and we have piles of questions—there’s never enough time. Let’s tackle this first one from Anthony, which is an interesting question. It’s a long one. He said in Katie’s presentation about making sure marketing data is ready to work in AI: “We know AI sometimes gives confident but incorrect results, especially with large data sets.” He goes with this long example about the Oscars. How can marketers make sure their data processes catch small but important AI-generated errors like that? And how mistake-proof is the 6C framework that you presented in the talk? Katie Robbert – 00:48 The 6C framework is only as error-proof as you are prepared, is maybe the best way to put it. Unsurprisingly, I’m going to pull up the five P’s to start with: Purpose, People, Process, Platform, Performance. This is where we suggest people start with getting ready before you start using the 6 Cs because first you want to understand what it is that I’m trying to do. The crappy answer is nothing is ever fully error-proof, but things are going to get you pretty close. When we talk about marketing data, we always talk about it as directional versus exact because there are things out of your control in terms of how it’s collected, or what people think or their perceptions of what the responses should be, whatever the situation is. Katie Robbert – 01:49 If it’s never going to be 100% perfect, but it’s going to be directional and give you the guidance you need to answer the question being asked. Which brings us back to the five Ps: What is the question being asked? Why are we doing this? Who’s involved? This is where you put down who are the people contributing the data, but also who are the people owning the data, cleaning the data, maintaining the data, accessing the data. The process: How is the data collected? Are we confident that we know that if we’ve set up a survey, how that survey is getting disseminated and how responses are coming back in? Katie Robbert – 02:28 If you’re using third-party tools, is it a black box, or do you have a good understanding in Google Analytics, for example, the definitions of the dimensions and the metrics, or Adobe Analytics, the definitions of the variables and all of those different segments and channels? Those are the things that you want to make sure that you have control over. Platform: If your data is going through multiple places, is it transforming to your knowledge when it goes from A to B to C or is it going to one place? And then Performance: Did we answer the question being asked? First things first, you have to set your expectations correctly: This is what we have to work with. Katie Robbert – 03:10 If you are using SEO data, for example, if you’re pulling data out of Ahrefs, or if you’re pulling data out of a third-party tool like Ahrefs or SEMrush, do you know exactly how that data is collected, all of the different sources? If you’re saying, “Oh well, I’m looking at my competitors’ data, and this is their domain rating, for example,” do you know what goes into that? Do you know how it’s calculated? Katie Robbert – 03:40 Those are all the things that you want to do up front before you even get into the 6 Cs because the 6 Cs is going to give you an assessment and audit of your data quality, but it’s not going to tell you all of these things from the five Ps of where it came from, who collected it, how it’s collected, what platforms it’s in. You want to make sure you’re using both of those frameworks together. And then, going through the 6C audit that I covered in the AI for B2B Marketers Summit, which I think we have—the 6C audit on our Instant Insights—we can drop a link to that in the show notes of this podcast. You can grab a copy of that. Basically, that’s what I would say to that. Katie Robbert – 04:28 There’s no—in my world, and I’ve been through a lot of regulated data—there is no such thing as the perfect data set because there are so many factors out of your control. You really need to think about the data being a guideline versus the exactness. Christopher S. Penn – 04:47 One of the things, with all data, one of the best practices is to get out a spoon and start stirring and sampling. Taking samples of your data along the way. If you, like you said, if you start out with bad data to begin with, you’re going to get bad data out. AI won’t make that better—AI will just make it bigger. But even on the outbound side, when you’re looking at data that AI generates, you should be looking at it. I would be really concerned if a company was using generative AI in their pipeline and no one was at least spot-checking the data, opening up the hood every now and then, taking a sample of the soup and going, “Yep, that looks right.” Particularly if there are things that AI is going to get wrong. Christopher S. Penn – 05:33 One of the things you talked about in your session, and you showed Google Colab with this, was to not let AI do math. If you’re gonna get hallucinations anywhere, it’s gonna be if you let a generative AI model attempt to do math to try to calculate a mean, or a median, or a moving average—it’s just gonna be a disaster. Katie Robbert – 05:52 Yeah, I don’t do that. The 6 Cs is really, again, it’s just to audit the data set itself. The process that we’ve put together that uses Google Colab, as Chris just mentioned, is meant to do that in an automated fashion, but also give you the insights on how to clean up the data set. If this is the data that you have to use to answer the question from the five Ps, what do I have to do to make this a usable data set? It’s going to give you that information as well. We had Anthony’s question: “The correctness is only as good as your preparedness.” You can quote me on that. Christopher S. Penn – 06:37 The more data you provide, the less likely you’re going to get hallucinations. That’s just the way these tools work. If you are asking the tool to infer or create things from your data that aren’t in the data you provided, the risk of hallucination goes up if you’re asking language models to do non-language tasks. A simple example that we’ve seen go very badly time and time again is anything geospatial: “Hey, I’m in Boston, what are five nearby towns I should go visit? Rank them in order of distance.” Gets it wrong every single time. Because a language model is not a spatial model. It can’t do that. The knowing what language models can and can’t do is a big part of that. Okay, let’s move on to the next one, which is from a different. Christopher S. Penn – 07:31 Chris says that every B2B company is struggling with how to roll out AI, and many CEOs think it is non-strategic and just tactical. “Just go and do some AI.” What are the high-level metrics that you found that can be used with executive teams to show the strategic importance of AI? Katie Robbert – 07:57 I feel like this is a bad question, and I know I say that. One of the things that I’m currently working on: If you haven’t gotten it yet, you can go ahead and download our AI readiness kit, which is all of our best frameworks, and we walk through how you can get ready to integrate AI. You can get that at TrustInsights.ai/AIKit. I’m in the process of turning that into a course to help people even further go on this journey of integrating AI. And one of the things that keeps coming up: so unironically, I’m using generative AI to help me prepare for this course. And I, borrowing a technique from Chris, I said, “Ask me questions about these things that I need to be able to answer.” Katie Robbert – 08:50 And very similar to the question that this other Chris is asking, there were questions like, “What is the one metric?” Or, “What is the one thing?” And I personally hate questions like that because it’s never as simple as “Here’s the one thing,” or “Here’s the one data point” that’s going to convince people to completely overhaul their thinking and change their mind. When you are working with your leadership team and they’re looking for strategic initiatives, you do have to start at the tactical level because you have to think about what is the impact day-to-day that this thing is going to have, but also that sort of higher level of how is this helping us achieve our overall vision, our goals. Katie Robbert – 09:39 One of the exercises in the AI kit, and also will be in the course, is your strategic alignment. The way that it’s approached, first and foremost, you still have to know what you want to do, so you can’t skip the five Ps. I’m going to give you the TRIPS homework. TRIPS is Time, Repetitive, Importance, Pain, and Sufficient Data. And it’s a simple worksheet where you sort of outline all the things that I’m doing currently so you can find those good candidates to give those tasks to AI. It’s very tactical. It’s important, though, because if you don’t know where you’re going to start, who cares about the strategic initiative? Who cares about the goals? Because then you’re just kind of throwing things against the wall to see what’s going to stick. So, do TRIPS. Katie Robbert – 10:33 Do the five P’s, go through this goal alignment work exercise, and then bring all of that information—the narrative, the story, the impact, the risks—to your strategic team, to your leadership team. There’s no magic. If I just had this one number, and you’re going to say, “Oh, but I could tell them what the ROI is.” “Get out!” There is an ROI worksheet in the AI kit, but you still have to do all those other things first. And it’s a combination of a lot of data. There is no one magic number. There is no one or two numbers that you can bring. But there are exercises that you can go through to tell the story, to help them understand. Katie Robbert – 11:24 This is the impact. This is why. These are the risks. These are the people. These are the results that we want to be able to get. Christopher S. Penn – 11:34 To the ROI one, because that’s one of my least favorite ones. The question I always ask is: Are you measuring your ROI now? Because if you’re not measuring it now, then you’re not going to know how AI made a difference. Katie Robbert – 11:47 It’s funny how that works. Christopher S. Penn – 11:48 Funny how that works. To no one’s surprise, they’re not measuring the ROI now. So. Katie Robbert – 11:54 Yeah, but suddenly we’re magically going to improve it. Christopher S. Penn – 11:58 Exactly. We’re just going to come up with it just magically. All right, let’s see. Let’s scroll down here into the next set of questions from your session. Christine asks: With data analytics, is it best to use Data Analyst and ChatGPT or Deep Research? I feel like the Data Analyst is more like collaboration where I prompt the analysis step-by-step. Well, both of those so far. Katie Robbert – 12:22 But she didn’t say for what purpose. Christopher S. Penn – 12:25 Just with data analytics, she said. That was her. Katie Robbert – 12:28 But that could mean a lot of different things. That’s not—and this is no fault to the question asker—but in order to give a proper answer, I need more information. I need to know. When you say data analytics, what does that mean? What are you trying to do? Are you pulling insights? Are you trying to do math and calculations? Are you combining data sets? What is that you’re trying to do? You definitely use Deep Research more than I do, Chris, because I’m not always convinced you need to do Deep Research. And I feel like sometimes it’s just an added step for no good reason. For data analytics, again, it really depends on what this user is trying to accomplish. Katie Robbert – 13:20 Are they trying to understand best practices for calculating a standard deviation? Okay, you can use Deep Research for that, but then you wouldn’t also use generative AI to calculate the standard deviation. It would just give you some instructions on how to do that. It’s a tough question. I don’t have enough information to give a good answer. Christopher S. Penn – 13:41 I would say if you’re doing analytics, Deep Research is always the wrong tool. Because what Deep Research is, is a set of AI agents, which means it’s still using base language models. It’s not using a compute environment like Colab. It’s not going to write code, so it’s not going to do math well. And OpenAI’s Data Analyst also kind of sucks. It has a lot of issues in its own little Python sandbox. Your best bet is what you showed during a session, which is to use Colab that writes the actual code to do the math. If you’re doing math, none of the AI tools in the market other than Colab will write the code to do the math well. And just please don’t do that. It’s just not a good idea. Christopher S. Penn – 14:27 Cheryl asks: How do we realistically execute against all of these AI opportunities that you’re presenting when no one internally has the knowledge and we all have full-time jobs? Katie Robbert – 14:40 I’m going to go back to the AI kit: TrustInsights.ai/AIKit. And I know it all sounds very promotional, but we put this together for a reason—to solve these exact problems. The “I don’t know where to start.” If you don’t know where to start, I’m going to put you through the TRIPS framework. If you don’t know, “Do I even have the data to do this?” I’m going to walk you through the 6 Cs. Those are the frameworks integrated into this AI kit and how they all work together. To the question that the user has of “We all have full-time jobs”: Yeah, you’re absolutely right. You’re asking people to do something new. Sometimes it’s a brand new skill set. Katie Robbert – 15:29 Using something like the TRIPS framework is going to help you focus. Is this something we should even be looking at right now? We talk a lot about, “Don’t add one more thing to people’s lists.” When you go through this exercise, what’s not in the framework but what you have to include in the conversation is: We focused down. We know that these are the two things that we want to use generative AI for. But then you have to start to ask: Do we have the resources, the right people, the budget, the time? Can we even do this? Is it even realistic? Are we willing to invest time and energy to trying this? There’s a lot to consider. It’s not an easy question to answer. Katie Robbert – 16:25 You have to be committed to making time to even think about what you could do, let alone doing the thing. Christopher S. Penn – 16:33 To close out Autumn’s very complicated question: How do you approach conversations with your clients at Trust Insights who are resistant to AI due to ethical and moral impacts—not only due to some people who are using it as a human replacement and laying off, but also things like ecological impacts? That’s a big question. Katie Robbert – 16:58 Nobody said you have to use it. So if we know. In all seriousness, if we have a client who comes to us and says, “I want you to do this work. I don’t want you to use AI to complete this work.” We do not—it does not align with our mission, our value, whatever the thing is, or we are regulated, we’re not allowed to use it. There’s going to be a lot of different scenarios where AI is not an appropriate mechanism. It’s technology. That’s okay. The responsibility is on us at Trust Insights to be realistic about. If we’re not using AI, this is the level of effort. Katie Robbert – 17:41 Just really being transparent about: Here’s what’s possible; here’s what’s not possible; or, here’s how long it will take versus if we used AI to do the thing, if we used it on our side, you’re not using it on your side. There’s a lot of different ways to have that conversation. But at the end of the day, if it’s not for you, then don’t force it to be for you. Obviously there’s a lot of tech that is now just integrating AI, and you’re using it without even knowing that you’re using it. That’s not something that we at Trust Insights have control over. We’re. Katie Robbert – 18:17 Trust me, if we had the power to say, “This is what this tech does,” we would obviously be a lot richer and a lot happier, but we don’t have those magic powers. All we can do is really work with our clients to say what works for you, and here’s what we have capacity to do, and here are our limitations. Christopher S. Penn – 18:41 Yeah. The challenge that companies are going to run into is that AI kind of sets a bar in terms of the speed at which something will take and a minimum level of quality, particularly for stuff that isn’t code. The challenge is going to be for companies: If you want to not use AI for something, and that’s a valid choice, you will have to still meet user and customer expectations that they will get the thing just as fast and just as high quality as a competitor that is using generative AI or classical AI. And that’s for a lot of companies and a lot of people—that is a tough pill to swallow. Christopher S. Penn – 19:22 If you are a graphic designer and someone says, “I could use AI and have my thing in 42 seconds, or I could use you and have my thing in three weeks and you cost 10 times as much.” It’s a very difficult thing for the graphic designer to say, “Yeah, I don’t use AI, but I can’t meet your expectations of what you would get out of an AI in terms of the speed and the cost.” Katie Robbert – 19:51 Right. But then, what they’re trading is quality. What they’re trading is originality. So it really just comes down to having honest conversations and not trying to be a snake oil salesman to say, “Yes, I can be everything to everyone.” We can totally deliver high quality, super fast and super cheap. Just be realistic, because it’s hard because we’re all sort of in the same boat right now: Budgets are being tightened, and companies are hiring but not hiring. They’re not paying enough and people are struggling to find work. And so we’re grasping at straws, trying to just say yes to anything that remotely makes sense. Katie Robbert – 20:40 Chris, that’s where you and I were when we started Trust Insights; we kind of said yes to a lot of things that upon reflection, we wouldn’t say yes today. But when we were starting the company, we kind of felt like we had to. And it takes a lot of courage to say no, but we’ve gotten better about saying no to things that don’t fit. And I think that’s where a lot of people are going to find themselves—when they get into those conversations about the moral use and the carbon footprint and what it’s doing to our environment. I think it’ll, unfortunately, be easy to overlook those things if it means that I can get a paycheck. And I can put food on the table. It’s just going to be hard. Christopher S. Penn – 21:32 Yep. Until, the advice we’d give people at every level in the organization is: Yes, you should have familiarity with the tools so you know what they do and what they can’t do. But also, you personally could be working on your personal brand, on your network, on your relationship building with clients—past and present—with prospective clients. Because at the end of the day, something that Reid Hoffman, the founder of LinkedIn, said is that every opportunity is tied to a person. If you’re looking for an opportunity, you’re really looking for a person. And as complicated and as sophisticated as AI gets, it still is unlikely to replace that interpersonal relationship, at least in the business world. It will in some of the buying process, but the pre-buying process is how you would interrupt that. Christopher S. Penn – 22:24 Maybe that’s a talk for another time about Marketing in the Age of AI. But at the bare minimum, your lifeboat—your insurance policy—is that network. It’s one of the reasons why we have the Trust Insights newsletter. We spend so much time on it. It’s one of the reasons why we have the Analytics for Marketers Slack group and spend so much time on it: Because we want to be able to stay in touch with real people and we want to be able to go to real people whenever we can, as opposed to hoping that the algorithmic deities choose to shine their favor upon us this day. Katie Robbert – 23:07 I think Marketing in the Age of AI is an important topic. The other topic that we see people talking about a lot is that pushback on AI and that craving for human connection. I personally don’t think that AI created this barrier between humans. It’s always existed. If anything, new tech doesn’t solve old problems. If anything, it’s just put a magnifying glass on how much we’ve siloed ourselves behind our laptops versus making those human connections. But it’s just easy to blame AI. AI is sort of the scapegoat for anything that goes wrong right now. Whether that’s true or not. So, Chris, to your point, if you’re reliant on technology and not making those human connections, you definitely have a lot of missed opportunities. Christopher S. Penn – 24:08 Exactly. If you’ve got some thoughts about today’s mailbag topics, experiences you’ve had with measuring the effects of AI, with understanding how to handle data quality, or wrestling with the ethical issues, and you want to share what’s on your mind? Pop by our free Slack group. Go to TrustInsights.ai/analyticsformarketers where over 4,000 other marketers are asking and answering each other’s questions every single day. And wherever it is you watch or listen to the show, if there’s a channel you’d rather have it on instead, go to TrustInsights.ai/TIPodcast and you can find us at all the places that fine podcasts are served. Thanks for tuning in. We’ll talk to you on the next one. Katie Robbert – 24:50 Want to know more about Trust Insights? Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence, and machine learning to empower businesses with actionable insights. Founded in 2017 by Katie Robbert and Christopher S. Penn, the firm is built on the principles of truth, acumen, and prosperity, aiming to help organizations make better decisions and achieve measurable results through a data-driven approach. Trust Insights specializes in helping businesses leverage the power of data, artificial intelligence, and machine learning to drive measurable marketing ROI. Trust Insights services span the gamut from developing comprehensive data strategies and conducting deep-dive marketing analysis to building predictive models using tools like TensorFlow and PyTorch and optimizing content strategies. Katie Robbert – 25:43 Trust Insights also offers expert guidance on social media analytics, marketing technology and Martech selection and implementation, and high-level strategic consulting encompassing emerging generative AI technologies like ChatGPT, Google Gemini, Anthropic Claude, Dall-E, Midjourney, Stable Diffusion, and Metalama. Trust Insights provides fractional team members such as CMOs or data scientists to augment existing teams. Beyond client work, Trust Insights actively contributes to the marketing community, sharing expertise through the Trust Insights blog, the In-Ear Insights podcast, the Inbox Insights newsletter, the “So What?” Livestream, webinars, and keynote speaking. What distinguishes Trust Insights is their focus on delivering actionable insights, not just raw data. Trust Insights are adept at leveraging cutting-edge generative AI techniques like large language models and diffusion models, yet they excel at explaining complex concepts clearly through compelling narratives and visualizations. Katie Robbert – 26:48 Data storytelling: This commitment to clarity and accessibility extends to Trust Insights’ educational resources, which empower marketers to become more data-driven. Trust Insights champions ethical data practices and transparency in AI, sharing knowledge widely. Whether you’re a Fortune 500 company, a mid-sized business, or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance, and educational resources to help you navigate the ever-evolving landscape of modern marketing and business in the age of generative AI. Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the crucial difference between ‘no-code AI solutions’ and ‘no work’ when using AI tools. You’ll grasp why seeking easy no-code solutions often leads to mediocre AI outcomes. You’ll learn the vital role critical thinking plays in getting powerful results from generative AI. You’ll discover actionable techniques, like using frameworks and better questions, to guide AI. You’ll understand how investing thought upfront transforms AI from a simple tool into a strategic partner. Watch the full episode to elevate your AI strategy! Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-no-code-ai-tools-sdlc.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn – 00:00 In this week’s In Ear Insights, I have a bone to pick with a lot of people in marketing around AI and AI tools. And my bone to pick is this, Katie. There isn’t a day that goes by either in Slack or mostly on LinkedIn when some person is saying, “Oh, we need a no code tool for this.” “How do I use AI in a no code tool to evaluate real estate proposals?” And the thing is, when I read what they’re trying to do, they seem to have this idea that no code equals no work. That it’s somehow magically just going to do the thing. And I can understand the past tense aversion to coding because it’s a very difficult thing to do. Christopher S. Penn – 00:49 But in today’s world with generative AI, coding is as straightforward as not coding in terms of the ability to make stuff. Because generative AI can do both, and they both have very strong prerequisites, which is you gotta think things through. It’s not no work. Neither case is it no work. Have you seen this also on the various places we hang out? Katie Robbert – 01:15 Well, first, welcome to the club. How well do your ranty pants fit? Because that’s what you are wearing today. Maybe you’re in the ranty shirt club. I don’t know. It’s… I think we were talking about this last week because I was asking—and I wasn’t asking from a ‘I don’t want to do the work’ standpoint, but I was asking from a ‘I’m not a coder, I don’t want to deal with code, but I’m willing to do the work’ standpoint. And you showed me a system like Google Colab that you can go into, you can tell it what you want to do, and you can watch it build the code. It can either keep it within the system or you can copy the code and put it elsewhere. And that’s true of pretty much any generative AI system. Katie Robbert – 02:04 You can say, “I want you to build code for me to be able to do X.” Now, the reason, at least from my standpoint, why people don’t want to do the code is because they don’t know what the code says or what it’s supposed to do. Therefore, they’re like, “Let me just avoid that altogether because I don’t know if it’s going to be right.” The stuff that they’re missing—and this is something that I said on the Doodle webinar that I did with Andy Crestodina: we forget that AI is there to do the work for us. So let the AI not only build the code, but check the code, make sure the code works, and build the requirements for the code. Say, “I want to do this thing.” “What do you, the machine, need to know about building the code?” Katie Robbert – 02:53 So you’re doing the work to build the code, but you’re not actually coding. And so I think—listen, we’re humans, we’re lazy. We want things that are plug and play. I just want to press the go button, the easy button, the old Staples button. I want to press the easy button and make it happen. I don’t want to have to think about coding or configuration or setup or anything. I just want to make it work. I just want to push the button on the blender and have a smoothie. I don’t want to think about the ingredients that go into it. I don’t want to even find a cup. I’m going to drink it straight from the blender. Katie Robbert – 03:28 I think, at least the way that I interpret it, when people say they want the no code version, they’re hoping for that kind of easy path of least resistance. But no code doesn’t mean no work. Christopher S. Penn – 03:44 Yeah. And my worry and concern is that things like the software development lifecycle exist for a reason. And the reason is so that things aren’t a flaming, huge mess. I did see one pundit quip on Threads not too long ago that generative AI may as well be called the Tactical Debt Generator because you have a bunch of people making stuff that they don’t know how to maintain and that they don’t understand. For example, when you are using it to write code, as we’ve talked about in the past, very few people ever think, “Is my code secure?” And as a result, there are a number of threads and tweets and stuff saying, “One day I coded this app in one afternoon.” Christopher S. Penn – 04:26 And then, two days later, “Hey guys, why are all these people breaking into my app?” Katie Robbert – 04:33 It’s— No, it’s true. Yeah, they don’t. It’s a very short-sighted way of approaching it. I mean, think about even all the custom models that we’ve built for various reasons. Katie GPT—when was the last time her system instructions were updated? Even Katie Artifact that I use in Claude all the time—when was the last time her… Just because I use it all the time doesn’t mean that she’s up to date. She’s a little bit outdated. And she’s tired, and she needs a vacation, and she needs a refresh. It’s software. These custom models that you’re building are software. Even if there’s no, quote unquote, “code” that you can see that you have built, there is code behind it that the systems are using that you need to maintain and figure out. Katie Robbert – 05:23 “How do I get this to work long term?” Not just “It solves my problem today, and when I use it tomorrow, it’s not doing what I need it to do.” Christopher S. Penn – 05:33 Yep. The other thing that I see people doing so wrong with generative AI—code, no code, whatever—is they don’t think to ask it thinking questions. I saw this—I was commenting on one of Marcus Sheridan’s posts earlier today—and I said that we live in an environment where if you want to be really good at generative AI, be a good manager. Provide your employee—the AI—with all the materials that it needs to be set up for success. Documentation, background information, a process, your expected outcomes, your timelines, your deliverables, all that stuff. If you give that to an employee with good delegation, the employee will succeed. If you say, “Employee, go do the thing.” And then you walk off to the coffee maker like I did in your job interview 10 years ago. Katie Robbert – 06:26 If you haven’t heard it, we’ll get back to it at some point. Christopher S. Penn – 06:30 That’s not gonna set you up for success. When I say thinking questions, here’s a prompt that anybody can use for pretty much anything that will dramatically improve your generative AI outputs. Once you’ve positioned a problem like, “Hey, I need to make something that does this,” or “I need to fix this thing,” or “Why is this leaking?”… You would say, “Think through 5 to 7 plausible solutions for this problem.” “Rank them in order of practicality or flexibility or robustness, and then narrow down your solution.” “Set to one or two solutions, and then ask me to choose one”—which is a much better process than saying, “What’s the answer?” Or “Fix my problem.” Because we want these machines to think. And if you’re saying—when people equate no code with no think and no work— Yes, to your point. Christopher S. Penn – 07:28 Exactly what you said on the Doodle webinar. “Make the machine do the work.” But you have to think through, “How do I get it to think about the work?” Katie Robbert – 07:38 One of the examples that we were going through on that same webinar that we did—myself and Andy Crestodina—is he was giving very basic prompts to create personas. And unsurprisingly… And he acknowledged this; he was getting generic persona metrics back. And we talked through—it’s good enough to get you started, but if you’re using these very basic prompts to get personas to stand in as your audience, your content marketing is also going to be fairly basic. And so, went more in depth: “Give me strong opinions on mediocre things,” which actually turned out really funny. Katie Robbert – 08:25 But what I liked about it was, sort of to your point, Chris, of the thinking questions, it gave a different set of responses that you could then go, “Huh, this is actually something that I could build my content marketing plan around for my audience.” This is a more interesting and engaging and slightly weird way of looking at it. But unless you do that thinking and unless you get creative with how you’re actually using these tools, you don’t have to code. But you can’t just say, “I work in the marketing industry. Who is my audience?” “And tell me five things that I should write about.” It’s going to be really bland; it’s going to be very vanilla. Which vanilla has its place in time, but it’s not in content marketing. Christopher S. Penn – 09:10 That’s true. Vanilla Ice, on the other hand. Katie Robbert – 09:14 Don’t get me started. Christopher S. Penn – 09:15 Collaborate and listen. Katie Robbert – 09:17 Words to live by. Christopher S. Penn – 09:20 Exactly. And I think that’s a really good way of approaching this. And it almost makes me think that there’s a lot of people who are saying, somewhat accurately, that AI is going to remove our critical thinking skills. We’re just going to stop thinking entirely. And I can see some people, to your point, taking the easy way out all the time, becoming… We talked about in last week’s podcast becoming codependent on generative AI. But I feel like the best thinkers will move their thinking one level up, which is saying, “Okay, how can I think about a better prompt or a better system or a better automation or a better workflow?” So they will still be thinking. You will still be thinking. You will just not be thinking about the low-level task, but you still have to think. Christopher S. Penn – 10:11 Whereas if you’re saying, “How can I get a no-code easy button for this thing?”… You’re not thinking. Katie Robbert – 10:18 I think—to overuse the word think— I think that’s where we’re going to start to see the innovation bell curve. We’re going to start to see people get over that curve of, “All right, I don’t want to code, that’s fine.” But can you think? But if you don’t want to code or think, you’re going to be stuck squarely at the bottom of the hill of that innovation curve. Because if you don’t want to code, it’s fine. I don’t want to code, I want nothing to do with it. That means that I have made my choice and I have to think. I have to get more creative and think more deeply about how I’m prompting, what kind of questions I’m asking, what kind of questions I want it to ask me versus I can build some code. Christopher S. Penn – 11:10 Exactly. And you’ve been experimenting with tools like N8N, for example, as automations for AI. So for that average person who is maybe okay thinking but not okay coding, how do they get started? And I’m going to guess that this is probably the answer. Katie Robbert – 11:28 It is exactly the answer. The 5Ps is a great place to start. The reason why is because it helps you organize your thoughts and find out where the gaps are in terms of the information that you do or don’t have. So in this instance, let’s say I don’t want to create code to do my content marketing, but I do want to come up with some interesting ideas. And me putting in the prompt “Come up with interesting ideas” isn’t good enough because I’m getting bland, vanilla things back. So first and foremost, what is the problem I am trying to solve? The problem I am trying to solve is not necessarily “I need new content ideas.” That is the medicine, if you will. The actual diagnosis is I need more audience, I need more awareness. Katie Robbert – 12:28 I need to solve the problem that nobody’s reading my content. So therefore, I either have the wrong audience or I have the wrong content strategy, or both. So it’s not “I need more interesting content.” That’s the solution. That’s the prescription that you get; the diagnosis is where you want to start with the Purpose. And that’s going to help you get to a better set of thinking when you get to the point of using the Platform—which is generative AI, your SEO tools, your market research, yada yada. So Purpose is “I need to get more audience, I need to get more awareness.” That is my goal. That is the problem I am trying to solve. People: I need to examine, do I have the right audience? Am I missing parts of my audience? Have I completely gone off the deep end? Katie Robbert – 13:17 And I’m trying to get everybody, and really that’s unrealistic. So that’s part of it. The Process. Well, I have to look at my market research. I have to look at my customer—my existing customer base—but also who’s engaging with me on social media, who’s subscribing to my email newsletters, and so on and so forth. So this is more than just “Give me interesting topics for my content marketing.” We’re really digging into what’s actually happening. And this is where that thinking comes into play—that critical thinking of, “Wow, if I really examine all of these things, put all of this information into generative AI, I’m likely going to get something much more compelling and on the nose.” Christopher S. Penn – 14:00 And again, it goes back to that thinking: If you know five people in your audience, you can turn on a screen recording, you can scroll through LinkedIn or the social network of your choice—even if they don’t allow data export—you just record your screen and scroll (not too fast) and then hand that to generative AI. Say, “Here’s a recording of the things that my top five people are talking about.” “What are they not thinking about that I could provide content on based on all the discussions?” So you go onto LinkedIn today, you scroll, you scroll, maybe you do 10 or 15 pages, have a machine tally up the different topics. I bet you it’s 82% AI, and you can say, “Well, what’s missing?” And that is the part that AI is exceptionally good at. Christopher S. Penn – 14:53 You and I, as humans, we are focused creatures. Our literal biology is based on focus. Machines are the opposite. Machines can’t focus. They see everything equally. We found this out a long time ago when scientists built a classifier to try to classify images of wolves versus dogs. It worked great in the lab. It did not work at all in production. And when they went back to try and figure out why, they determined that the machine was classifying on whether there was snow in the photo or not. Because all the wolf photos had snow. The machines did not understand focus. They just classified everything. So, which is a superpower we can use to say, “What did I forget?” “What isn’t in here?” “What’s missing?” You and I have a hard time that we can’t say, “I don’t know what’s missing”—it’s missing. Christopher S. Penn – 15:42 Whereas the machine could go, knowing the domain overall, “This is what your audience isn’t paying attention to.” But that’s not no thinking; that’s not no work. That’s a lot of work actually to put that together. But boy, will it give you better results. Katie Robbert – 15:57 Yeah. And so, gone are the days of being able to get by with… “Today you are a marketing analyst.” “You are going to look at my GA4 data, you are going to tell me what it says.” Yes, you can use that prompt, but you’re not going to get very far. You’re going to get the mediocre results based on that mediocre prompt. Now, if you’re just starting out, if today is Day 1, that prompt is fantastic because you are going to learn a lot very quickly. If today is Day 100 and you are still using that prompt, then you are not thinking. And what I mean by that is you are just complacent in getting those mediocre results back. That’s not a job for AI. Katie Robbert – 16:42 You don’t need AI to be doing whatever it is you’re doing with that basic prompt 100 days in. But if it’s Day 1, it’s great. You’re going to learn a lot. Christopher S. Penn – 16:52 I’m curious, what does the Day 100 prompt look like? Katie Robbert – 16:57 The Day 100 prompt could start with… “Today you are a marketing analyst.” “You are going to do the following thing.” It can start there; it doesn’t end there. So, let’s say you put that prompt in, let’s say it gives you back results, and you say, “Great, that’s not good enough.” “What am I missing?” “How about this?” “Here’s some additional information.” “Here’s some context.” “I forgot to give you this.” “I’m thinking about this.” “How do I get here?” And you just—it goes forward. So you can start there. It’s a good way to anchor, to ground yourself. But then it has to go beyond that. Christopher S. Penn – 17:36 Exactly. And we have a framework for that. Huge surprise. If you go to TrustInsights.ai/rappel, to Katie’s point: the role, the action (which is the overview), then you prime it. You should—you can and should—have a piece of text laying around of how you think, in this example, about analytics. Because, for example, experienced GA4 practitioners know that direct traffic—except for major brands—very rarely is people just typing in your web view address. Most often it’s because you forgot tracking code somewhere. And so knowing that information, providing that information helps the prompt. Of course, the evaluation—which is what Katie’s talking about—the conversation. Christopher S. Penn – 18:17 And then at the very end, the wrap-up where you say, “Based on everything that we’ve done today, come up with some system instructions that encapsulate the richness of our conversation and the final methodology that we got to the answers we actually wanted.” And then that prompt becomes reusable down the road so you don’t have to do it the same time and again. One of the things we teach now in our Generative AI Use Cases course, which I believe is at Trust Insights Use Cases course, is you can build deep research knowledge blocks. So you might say, “I’m a marketing analyst at a B2B consultancy.” “Our customers like people like this.” “I want you to build me a best practices guide for analyzing GA4 for me and my company and the kind of company that we are.” Christopher S. Penn – 19:09 “And I want to know what to do, what not to do, what things people miss often, and take some time to think.” And then you have probably between a 15- and 30-page piece of knowledge that the next time you do that prompt, you can absolutely say, “Hey, analyze my GA4.” “Here’s how we market. Here’s how we think about analytics. Here’s the best practices for GA4.” And those three documents probably total 30,000 words. And it’s at that point where it’s not… No, it is literally no code, and it’s not entirely no work, but you’ve done all the work up front. Katie Robbert – 19:52 The other thing that occurs to me that we should start including in our prompting is the three scenarios. So, basically, if you’re unfamiliar, I do a lot of work with scenario planning. And so, let’s say you’re talking about your budget. I usually do three versions of the budget so that I can sort of think through. Scenario one: everything is status quo; everything is just going to continue business as usual. Scenario two: we suddenly land a bunch of big clients, and we have a lot more revenue coming in. But with that, it’s not just that the top line is getting bigger. Katie Robbert – 20:33 Everything else—there’s a ripple effect to that. We’re going to have to staff up; we’re going to have to get more software, more server, whatever the thing is. So you have to plan for those. And then the third scenario that nobody likes to think about is: what happens if everything comes crashing down? What happens if we lose 75% of our clients? What happens if myself or Chris suddenly can’t perform our duties as co-founders, whatever it is? Those are scenarios that I always encourage people to plan for—whether it’s budget, your marketing plan, blah blah. You can ask generative AI. So if you spent all of this time giving generative AI data and context and knowledge blocks and the deep thinking, and it gives you a marketing plan or it gives you a strategy… Katie Robbert – 21:23 Take it that next step, do that even deeper thinking, and say, “Give me the three scenarios.” “What happens if I follow this plan?” “Exactly.” “What happens if you give me this plan and I don’t measure anything?” “What happens if I follow this plan and I don’t get any outcome?” There’s a bunch of different ways to think about it, but really challenge the system to think through its work, but also to give you that additional information because it may say, “You know what? This is a great thought process.” “I have more questions for you based on this.” “Let’s keep going.” Christopher S. Penn – 22:04 One of the magic questions that we use with generative AI—I use it all the time, particularly requirements gathering—is I’ll give it… Scenarios, situations, or whatever the case may be, and I’ll say… “The outcome I want is this.” “An analysis, a piece of code, requirements doc, whatever.” “Ask me one question at a time until you have enough information.” I did this yesterday building a piece of software in generative AI, and it was 22 questions in a row because it said, “I need to know this.” “What about this?” Same thing for scenario planning. Like, “Hey, I want to do a scenario plan for tariffs or a war between India and Pakistan, or generative AI taking away half of our customer base.” “That’s the scenario I want to plan for.” Christopher S. Penn – 22:52 “Ask me one question at a time.” Here’s—you give it all the knowledge blocks about your business and things. That question is magic. It is absolutely magic. But you have to be willing to work because you’re going to be there a while chatting, and you have to be able to think. Katie Robbert – 23:06 Yeah, it takes time. And very rarely at this point do I use generative AI in such a way that I’m not also providing data or background information. I’m not really just kind of winging it as a search engine. I’m using it in such a way that I’m providing a lot of background information and using generative AI as another version of me to help me think through something, even if it’s not a custom Katie model or whatever. I strongly feel the more data and context you give generative AI, the better the results are going to be. Versus—and we’ve done this test in a variety of different shows—if you just say, “Write me a blog post about the top five things to do in SEO in 2025,” and that’s all you give it, you’re going to get really crappy results back. Katie Robbert – 24:10 But if you load up the latest articles from the top experts and the Google algorithm user guides and developer notes and all sorts of stuff, you give all that and then say, “Great.” “Now break this down in simple language and help me write a blog post for the top five things that marketers need to do to rank in 2025.” You’re going to get a much more not only accurate but also engaging and helpful post because you’ve really done the deep thinking. Christopher S. Penn – 24:43 Exactly. And then once you’ve got the knowledge blocks codified and you’ve done the hard work—may not be coding, but it is definitely work and definitely thinking— You can then use a no-code system like N8N. Maybe you have an ICP. Maybe you have a knowledge block about SEO, maybe you have all the things, and you chain it all together and you say, “I want you to first generate five questions that we want answers to, and then I want you to take my ICP and ask the five follow-up questions.” “And I want you to take this knowledge and answer those 10 questions and write it to a disk file.” And you can then hit—you could probably rename it the easy button— Yes, but you could hit that, and it would spit out 5, 10, 15, 20 pieces of content. Christopher S. Penn – 25:25 But you have to do all the work and all the thinking up front. No code does not mean no work. Katie Robbert – 25:32 And again, that’s where I always go back to. A really great way to get started is the 5Ps. And you can give the Trust Insights 5P framework to your generative AI model and say, “This is how I want to organize my thoughts.” “Walk me through this framework and help me put my thoughts together.” And then at the end, say, “Give me an output of everything we’ve talked about in the 5Ps.” That then becomes a document that you then give back to a new chat and say, “Here’s what I want to do.” “Help me do the thing.” Christopher S. Penn – 26:06 Exactly. You can get a copy at Trust Insights AI 5P framework. Download the PDF and just drop that in. Say, “Help me reformat this.” Or even better, “Here’s the thing I want to do.” “Here’s the Trust Insights 5P framework.” “Ask me questions one at a time until you have enough information to fully fill out a 5P framework audit.” “For this idea I have.” A lot of work, but it’s a lot of work. If you do the work, the results are fantastic. Results are phenomenal, and that’s true of all of our frameworks. I mean, go on to TrustInsights.ai and look under the Insights section. We got a lot of frameworks on there. They’re all in PDF format. Download them from anything in the Instant Insights section. You don’t even need to fill out a form. You can just download the thing and start dropping it. Christopher S. Penn – 26:51 And we did this the other day with a measurement thing. I just took the SAINT framework right off of our site, dropped it in, said, “Make, fill this in, ask me questions for what’s missing.” And the output I got was fantastic. It was better than anything I’ve ever written myself, which is awkward because it’s my framework. Katie Robbert – 27:10 But. And this is gonna be awkwardly phrased, but you’re you. And what I mean by that is it’s hard to ask yourself questions and then answer those questions in an unbiased way. ‘Cause you’re like, “Huh, what do I want to eat today?” “I don’t know.” “I want to eat pizza.” “Well, you ate pizza yesterday.” “Should you be eating pizza today?” “Absolutely.” “I love pizza.” It’s not a helpful or productive conversation. And quite honestly, unless you’re like me and you just talk to yourself out loud all the time, people might think you’re a little bit silly. Christopher S. Penn – 27:46 That’s fair. Katie Robbert – 27:47 But you can. The reason I bring it up—and sort of… That was sort of a silly example. But the machine doesn’t care about you. The machine doesn’t have emotion. It’s going to ask you questions. It’s not going to care if it offends you or not. If it says, “Have you eaten today?” If you say, “Yeah, get off my back,” it’s like, “Okay, whatever.” It’s not going to give you attitude or sass back. And if you respond in such a way, it’s not going to be like, “Why are you taking attitude?” And it’s going to be like, “Okay, let’s move on to the next thing.” It’s a great way to get all of that information out without any sort of judgment or attitude, and just get the information where it needs to be. Christopher S. Penn – 28:31 Exactly. You can also, in your digital twin that you’ve made of yourself, you can adjust its personality at times and say, “Be more skeptical.” “Challenge me.” “Be critical of me.” And to your point, it’s a machine. It will do that. Christopher S. Penn – 28:47 So wrapping up: asking for no-code solutions is fine as long as you understand that it is not no work. In fact, it is a lot of work. But if you do it properly, it’s a lot of work the first time, and then subsequent runs of that task, like everything in the SDLC, get much easier. And the more time and effort you invest up front, the better your life is going to be downstream. Katie Robbert – 29:17 It’s true. Christopher S. Penn – 29:18 If you’ve got some thoughts about no-code solutions, about how you’re using generative AI, how you’re getting it to challenge you and get you to do the work and the thinking, and you want to share them, pop by our free Slack group. Go to TrustInsights.ai/analyticsformarketers where you and over 4,200 marketers are asking and answering each other’s questions every single day. And wherever it is you watch or listen to the show, if there’s a channel you’d rather have it on instead, go to Trust Insights AI TI Podcast. You can find us at all the places fine podcasts are served. Thanks for tuning in. I’ll talk to you on the next one. Speaker 3 – 29:57 Want to know more about Trust Insights? Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence, and machine learning to empower businesses with actionable insights. Founded in 2017 by Katie Robbert and Christopher S. Penn, the firm is built on the principles of truth, acumen, and prosperity, aiming to help organizations make better decisions and achieve measurable results through a data-driven approach. Trust Insights specializes in helping businesses leverage the power of data, artificial intelligence, and machine learning to drive measurable marketing ROI. Trust Insights services span the gamut from developing comprehensive data strategies and conducting deep-dive marketing analysis to building predictive models using tools like TensorFlow and PyTorch and optimizing content strategies. Speaker 3 – 30:50 Trust Insights also offers expert guidance on social media analytics, marketing technology and Martech selection and implementation, and high-level strategic consulting encompassing emerging generative AI technologies like ChatGPT, Google Gemini, Anthropic Claude, DALL-E, Midjourney, Stable Diffusion, and Meta Llama. Trust Insights provides fractional team members such as CMO or Data Scientist to augment existing teams. Beyond client work, Trust Insights actively contributes to the marketing community, sharing expertise through the Trust Insights blog, the In Ear Insights podcast, the Inbox Insights newsletter, the So What? Livestream, webinars, and keynote speaking. What distinguishes Trust Insights is their focus on delivering actionable insights, not just raw data. Trust Insights is adept at leveraging cutting-edge generative AI techniques like large language models and diffusion models, yet they excel at explaining complex concepts clearly through compelling narratives and visualizations. Speaker 3 – 31:55 Data Storytelling: this commitment to clarity and accessibility extends to Trust Insights’ educational resources, which empower marketers to become more data-driven. Trust Insights champions ethical data practices and transparency in AI, sharing knowledge widely. Whether you’re a Fortune 500 company, a mid-sized business, or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance, and educational resources to help you navigate the ever-evolving landscape of modern marketing and business in the age of generative AI. Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

In this episode, host Karen Lynch welcomes Ali Henriques, Global Director at Qualtrics Edge, for a deep dive into the transformation of research services at Qualtrics and how AI is shaping the future of insights. Ali shares her journey from cruise industry research to leading a $120M insights division, revealing how Qualtrics Edge is democratizing access to data through Instant Insights and synthetic audiences.The conversation explores how synthetic data enhances agility, why continuous model hydration is critical, and how companies like Booking.com are already testing these capabilities. With humor, passion, and deep expertise, Ali offers a clear-eyed look at the future of market research and how teams can start exploring AI-driven solutions—today.Key Discussion Points:What Qualtrics Edge is and how it reimagines traditional research servicesInstant Insights: Merging syndicated data with real-time behavioral signalsSynthetic audiences: Training proprietary LLMs to scale insight generationBooking.com's pilot study and lessons learned from synthetic data comparisonsThe future of research: fast-twitch insights, agentic AI, and democratized decision-makingResources & Links:Qualtrics Edge OverviewBooking.comQualtrics X4 Experience SummitGreenbook IIEX EventsYou can reach out to Ali Henriques on LinkedIn.Many thanks to Ali Henriques for being our guest. Thanks also to our production team and our editor at Big Bad Audio.

Feedback is the backbone of growth in any organization. It serves as a tool for continuous improvement, guiding employees toward better performance, building self-awareness, and fostering accountability. Effective feedback promotes trust and transparency, helping align individual efforts with organizational goals. In a fast-changing workplace, it's essential for organizations to create a culture where feedback is seen not as criticism but as an opportunity to learn, grow, and adapt.Raised in a world of instant updates and constant online feedback, Gen Z brings a unique set of expectations to the way they receive and respond to performance reviews. They value frequent, real-time, and constructive feedback that goes beyond vague praise or criticism—focusing instead on actionable insights for continuous learning and improvement. For this generation, feedback isn't just a manager's responsibility; it's an ongoing conversation that fosters connection, trust, and personal growth.Discover the best practices as Leadership Coach Vivek Yatnalkar tells us why feedback matters, how it shapes workplace culture, and how managers can tailor their feedback approach to resonate with Gen Z—bridging generational expectations for a more collaborative and productive work environment.Find Us OnlineVivek Yatnalkar : LinkedInNikhil :  Website,  Linkedin, Youtube & Book

From 'Another Dolphins Podcast' (subscribe here): Tua Tagovailoa? Awesome. Erik Ezukanma? Also awesome. Jake and Josh dive into their top takeaways from the Dolphins' Preseason Week 2 win over the Commanders, sharing quick hits and key moments. Thoughts or questions — reach out to us at AnotherDolphinsPodcast@gmail.com! Another Dolphins Podcast is hosted by Joshua Houtz (@Houtz) and Jake Mendel (@JMendel94). To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

Tua Tagovailoa? Awesome. Erik Ezukanma? Also awesome. Jake and Josh dive into their top takeaways from the Dolphins' Preseason Week 2 win over the Commanders, sharing quick hits and key moments. Thoughts or questions — reach out to us at AnotherDolphinsPodcast@gmail.com! Another Dolphins Podcast is hosted by Joshua Houtz (@Houtz) and Jake Mendel (@JMendel94). To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

TWIPLA is an advanced yet accessible website intelligence platform, with a comprehensive suite of easy-to-use, privacy-compliant features. With three categories of insights - website statistics, visitor behavior analytics, and visitor communication - all website owners, digital marketers, and demand specialists can see the complete picture of what is and isn't working on their websites. Connect with Dragos

Listen in as The Toy Coach  conducts several mini interviews for a deep dive into the heart of toy innovation at CHITAG, part of the People of Play Week and Innovation Conference. Episode 196 offers a unique blend of playful interviews and insightful discussions with industry innovators.In this episode, we feature a dynamic duo, Michael and Melissa Giles, founders of Chiki Chaka, who reveal the secrets behind creating a game that's as simple as it is engaging, proving that the essence of play lies in joy, not complexity. They share their journey of starting a toy business, offering invaluable lessons for aspiring creators. But that's just the beginning! We also converse with Noel from Cut.com, exploring how a media company successfully ventured into game development by listening to their audience. And don't miss insights from Julian from Asmodee, who sheds light on the intricacies of marketing and distribution in the toy world. 

Are you passionate about toy design and eager to learn from the best in the toy industry? This episode of Making It In The Toy Industry takes you inside the Chicago Toy and Game Fair (ChiTag), a hub of innovation and creativity in the toy and game industry. Learn tips from show attendees who specialize in toy marketing, toy sales, and game innovation. Whether you're an aspiring toy inventor, a game design enthusiast, or simply fascinated by the world of toys, this episode includes 3 mini and action packed interviews.Listen in as Azhelle challenges her guests to a game of Buildzi while interviewing them about their areas of expertise. Learn tips from Tami of Tamic Strategies, Monica of Boogie Board, and Keegan, inventor of the game Endless. Each guest shares their unique perspective on the industry – Tami discusses strategic approaches to managing overstock and market fluctuations, Monica showcases the cutting-edge, sustainable technology behind Boogie Boards, and Keegan illustrates the process of inventing and testing his award-winning game "Endless." These conversations not only shed light on the nuances of toy and game development but also offer practical advice for how to make and sell your own toys and games.EPISODE CLIFF NOTES:Navigating Overstock in Toy Industry with Tami Boogie Board's Innovation in Toys Explained by Monica Keegan Shares His Award-Winning Game Design Journey Networking and Collaboration in the Toy SectorEffective Marketing Strategies in Toy Industry with MonicaLicensing and Commercializing Toy InventionsTackling the Challenge of Product ImitationEssential Advice for Aspiring Toy Inventors from Keegan Growth and Adaptation in the Toy Business with Tami EPISODE SPONSOR:This episode is brought to you by People of Play and CHITAG. Thank you for being a sponsor!Learn more about CHITAG by visiting chitag.comLearn more about People of Play by visiting peopleofplay.comWatch these interviews on The Toy Coach's YouTube Channel.For resources cited and links mentioned in this episode visit https://www.thetoycoach.com/195Have a great idea for a toy or game? Start here. Visualize, Validate, and Vow to make your toy or game idea real in this 5 day bootcamp. Visit learn.thetoycoach.com/bootcamp to sign up. Support the show

Curious about what's in store in your financial life?Join seasoned astrologers Cameron Allen and Michelle Dench in an enlightening, no-cost livestream. Get ready to delve deep into all these mysteries and more, thanks to the Astrology Hub Network and Astrologer Connect!

Curious about what the New Moon in Cancer means for you?Join seasoned astrologers Jamie Magee and Taylor Shuler in an enlightening, no-cost livestream. Get ready to delve deep into all these mysteries and more, thanks to the Astrology Hub Network and Astrologer Connect!

Curious how you can build healthier relationships whether it's with your family members, friends or lovers? What about your relationship with yourself? Do you need to know how you can learn to love yourself more?Join professional astrologers Clarissa Dolphin & Michelle Dench to discuss all that and more in a FREE livestream brought to you by the Astrology Hub Network and Astrologer Connect!

Got questions about the Venus Retrograde? Join professional astrologers Nura Rachelle & Jaime Goldstein to discuss all these transits and more in a FREE livestream brought to you by the Astrology Hub Network and Astrologer Connect!

Curious how you can live a healthier and more aligned life? What about what places in the world can support you in your journey to your harnessing your higher self? Join professional astrologers Cameron Allen & Gemini Brett to discuss all that and more in a FREE livestream brought to you by the Astrology Hub Network and Astrologer Connect!

Got questions about your next big career move? What about your personal timing? Any transits you're curious about?Join professional astrologers Taylor Shuler & Sheridan Semple to discuss all this and more in a FREE livestream brought to you by the Astrology Hub Network and Astrologer Connect!

Got questions about how to improve your quality of life? What about your spiritual and physical wellness? Join professional astrologers Jaime Goldstein and Elodie St-Onge Aubut to discuss all this and more in a FREE livestream brought to you by the Astrology Hub Network and Astrologer Connect!

With chicken being the second most popular meat in the world, managing poultry is important. Intelia helps provide real time insights into poultry production with the COMPASS system. This system integrates with sensors to keep track of bird health, barn temperature, food consumption, and more. On this week's episode, Natasha and Emily met with Caroline Forest, Vice President of Sales and Marketing at Intelia to learn more about how Intelia is helping poultry producers. Intelia Contact Information: Website: https://intelia.com/en/ Twitter: https://twitter.com/intelia_com LinkedIn: https://www.linkedin.com/company/intelia-inc./?originalSubdomain=ca Facebook: https://www.facebook.com/InteliaInc FarmBits Contact Information: E-Mail: farmbits@unl.edu Twitter: https://twitter.com/UNLFarmBits Facebook: https://www.facebook.com/UNLFarmBits Emily's Twitter: https://twitter.com/emilyjhanson12 Emily's LinkedIn: www.linkedin.com/in/emilyhanson212 Natasha's Twitter: https://twitter.com/NatashaUmezu Natasha's LinkedIn: https://www.linkedin.com/in/natasha-hiromi-umezu-b84805136/ Opinions expressed by the hosts and guests on this podcast are solely their own, and do not reflect the views of Nebraska Extension or the University of Nebraska - Lincoln.

On 64: A Chess Podcast's final episode of 2021, I spoke to WFM Sophie Morris Suzuki, who took 5th place at the U.S. Junior Women's Championship earlier in 2021 while on a gap break from college. We had actually recorded an episode together back in July, but for some reason Zoom did not record my audio while we taped the episode and as a result I could not actually release the episode. I'd been waiting to tape an episode with Sophie for months and I'm glad we could end 2021 on a high note, reflecting on chess this year and talking about the future!If you like what you've heard this week and want to support my podcast financially, you can subscribe to my Patreon for as little as $1 a month!In brief, we talked about...Life (i.e. school, COVID, etc.) getting in the way of playing chessSophie's experiences playing in the 2021 U.S. Junior Women's Championship + 2022 chess goalsSophie and I also talk about being (former) gamers, and why chess is superior to any video gameI reveal some of my plans for the podcast + content creation in 2022One final Instant Insights for 2021Thanks as always to Aimchess for sponsoring the podcast -- use code "DAVID30" to get 30% off of your first month with Aimchess!Follow me on Twitter and Twitch!Thanks again to WFM Sophie Morris-Suzuki for coming on the show!

Welcome back to Intellicast! The guys have another great episode for you this week. Starting off, Brian Lamar and Producer Brian discuss the news that Kroger plans on testing drone delivery in Centerville, and how they feel about it. Next, they dive into the latest market research news. In the first story, the guys discuss the new umbrella company of Confirmit and FocusVision, Forsta. Brian talks about the meaning behind the name, while Producer Brian talks about the brand equity they were able to maintain by continuing to operate the individual brands. In the second story, the guys talk about Ipsos’ latest earnings report, and what it means for the overall industry. They also talk about the recent announcement that Alexis Nasard, the CEO of Kantar, is stepping down after only 4 months on the job. In what seems to be an ongoing topic over the last couple of episodes, the guys talk about the latest news to come from Numerator about a new omnichannel market share measurement system. In the next story, Brian and Producer Brian discuss the latest ruling from the US Supreme Court on autodialers, and the impact it will have on market research. In the final couple of stories, the guys discuss Lucid’s new partnership with The Trade Desk, and PureSpectrum’s acquisition of Instant Insights from UpWave. Enjoy! The Sample Landscape: 2021 Edition is now available! Download our free report to understand how panels change over time, how the pandemic impacted the sample industry, and much more! Click here to get your copy: https://emi-rs.com/the-sample-landscape/ Want to catch up on our blogs? Click here: https://emi-rs.com/blog/ You can learn more about EMI’s DIY sample platform, CONNECTOR, and request a demo by visiting our website at www.emi-rs.com/connector/. Missed one of our webinars or want to get some of our whitepapers and reports? You can find it all on our Resources page on our website here: https://emi-rs.com/resources/ Got a suggestion or feedback? Reach out to us at Intellicast@emi-rs.com, or on Twitter at @Intellicast1, or leave us a voicemail on our call-in line at 513-401-5463.

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Challenges and Taboos of mental health are discussed. We ALL go through ups and downs in our mental health. Depression, anxiety, low self esteem etc. Please follow Dr TK Harris on YouTube and instagram. His books Instant Insights and Instant Action are available on Amazon.

Geoff Laughton, an internationally in-demand Relationship Coach and Expert, known as Your Relationship Architect, is also the author of the internationally best-selling books, “Instant Insights on Building a Conflict-Proof Relationship” and “Built to Last: Designing & Maintaining a Loving, Lasting, and Passionate Relationship.” Geoff coaches people in designing and building love relationships and lives that go beyond settling to being the direct expression of their most authentic, Spirit-guided selves.  Much of what Geoff teaches has come from Geoff’s own adventures in his marriage of 37 years, and 26 years of relentless learning and transformational work on himself with world-class teachers and guides. Grab Geoff’s FREE gift: Relationship Design Video Series at www.Yourrelationshiparchitect.com/juniemoon If you'd like to connect with Junie, sign up for your Love Breakthrough Session today so she can support you where you are right now on your love path. And don’t forget to subscribe to Midlife Love Out Loud so that you don't miss a single episode. While you're at it, won't you take a moment to write a short review and rate our show? It would be greatly appreciated! To learn more about our previous guests, listen to past episodes, and get to know your host, go to www.CoachJunieMoon.com and follow us on Facebook and Twitter.

EP 20: XPROMOS 30 in 30 Marketing Instant Insights #7-9 covers insights and takeaways from major brands like Mattel, Bandai, and Oroweat as we progress from the interest to the trial phase of the customer journey. To learn more about us, visit our show page at xpromos.expert --- Send in a voice message: https://anchor.fm/XPROMOS/message

On this episode, Geoff Laughton will talk about some key things that men in particular should know about themselves and dating before they return to the dating scene after getting out of a toxic relationship.Geoff is an internationally in-demand Relationship Coach and Expert, known as Your Relationship Architect, is also the author of the internationally best-selling books, Instant Insights on Building a Conflict-Proof Relationship and Built to Last: Designing & Maintaining a Loving, Lasting, and Passionate Relationship. He is also a co-author of the new book, Ready! Set! Date! For the last 23 years, he’s been guiding couples & individuals in designing and building the conscious, Spirit-led relationships and life they truly desire. He is also the CEO and of The Evolving Man Men’s Community.Geoff coaches and mentors people in how to have love relationships and lives that go beyond settling to instead create truly expansive, harmonious connections to self and partners that fully match their fully authentic Selves. Much of what Geoff teaches has come from Geoff’s own adventures in his marriage of 37 years.To-date, Geoff has worked with thousands of private clients and couples; has led over 300 workshops around the country for singles and couples; and has spoken at numerous live and online events.To learn more about Geoff and his work, please visit his website: https://yourrelationshiparchitect.com

This is a quick overview of our larger Mega Trends show.Join Nucleus Wealth's Head of Investment, Damien Klassen and Tim Fuller having a look at some of the major global trends that impact the way a money manager invests in stock markets:- Rising inequality- Baby Boomers- Women in the workforce- Global debt levels- Company tax ratesSlides can be found here.Nucleus Wealth is a Melbourne based investment house that can help you reach your financial goals through transparent, low cost, ethically tailored portfolios. To find out more head to nucleuswealth.comThe information on this podcast contains general information and does not take into account your personal objectives, financial situation or needs. Past performance is not an indication of future performance. Damien Klassen and Tim Fuller are an authorised representative of Nucleus Wealth Management, a Corporate Authorised Representative of Integrity Private Wealth Pty Ltd, AFSL 436298.

As the mainstream media are beginning to publish some bullish 'green shoot' news on the Australian property market, we take a look at a series of indicators to check whether the bulls have awoken on time, or early. Here is a short summary of our larger show to whet the whistle.So join Nucleus Wealth's Head of Investments Damien Klassen, Chief Strategist David Llewellyn Smith, Chief Economist Leith Van Onselen and Tim Fuller as we look at the state of the Australian property market pullback and if it has more to run.Slide can be found here.The information on this podcast contains general information and does not take into account your personal objectives, financial situation or needs. Past performance is not an indication of future performance. Damien Klassen and Tim Fuller are an authorised representative of Nucleus Wealth Management, a Corporate Authorised Representative of Integrity Private Wealth Pty Ltd, AFSL 436298.

This week’s Nucleus Instant Insights, we look at the proposed changes to refundable imputation credits.Join Nucleus Wealth’s Head of Investments Damien Klassen, and Tim Fuller as we bring you up to speed some of the impacts these changes will bring:– Who the changes will affect most– How these changes could affect traditional high dividend stocks– Structuring for the changes– Things to think about if you are going to be affectedDownload Slides HereThe information on this podcast contains general information and does not take into account your personal objectives, financial situation or needs. Past performance is not an indication of future performance. Damien Klassen and Tim Fuller are an authorised representative of Nucleus Wealth Management, a Corporate Authorised Representative of Integrity Private Wealth Pty Ltd, AFSL 436298.

Dr. Heidi and Sylvia Becker-Hill, founder of the Becker-Hill School of Empowerment, talk about bringing one’s authentic self to leadership, honoring the superwoman and being enough. Always “wowing” her stage, podcast, and television audiences alike, Sylvia Becker-Hill creates edutaining experiences by using science, psychology, and proven success principles to help free them from the patriarchal stories and struggles that are blocking them from their ultimate success. A sought-after international expert in the corporate leadership arena for the last 20 years, international author and speaker, Sylvia Becker-Hill is passionate about helping women unlearn the patriarchal “superwoman” rules that have been strangling their true success and show them how to master all areas of their lives by simply being - women. But Sylvia Becker-Hill, just doesn’t help the ladies break the bonds of the patriarchy. Her work even extends to the gents who want to be done with patriarchal strong hold so that they too can be true co-creators in their lives and work. Sylvia Becker-Hill helps audiences to unearth and break free of the unserving dogmas of the past while supporting them as they step into their success, love filled futures by living their EVElutionary™ lives by simply being - women. Find Sylvia and her work at the following links: Sylvia Becker-Hill global corporate keynote services about leadership, gender equality, diversity and inclusion: www.sylviabeckerhill.com Women’s Empowerment School podcast on ITunes, Google Play and Stitcher and with shownotes on the school’s webpage: www.becker-hill.com/podcast Becker-Hill’s international bestseller “Instant Insights on 12 Leadership Powers for Successful Women”: http://bit.ly/BeckerHill-book Facebook: https://www.facebook.com/SylviaBeckerHillFan LinkedIn: https://www.linkedin.com/in/sylviabeckerhill Instagram: https://www.instagram.com/sylviabeckerhill Twitter: https://twitter.com/SylBeckerHill As mentioned in the podcast, Follow this link https://shop.goodideadrinks.com (enter discount code 2BU30 at checkout) to get 30% off when you try Good Idea Water (the sparkling water that lowers your blood sugar response lowering pre-diabetic risks and limiting the post lunch slump), using the 2BU30 code.  Your order will help support the Evolving Digital Self podcast.  If you like it, please feel free to share it with your friends (both the discount and the podcast :-)

Chapter one of Sylvia’s book “Instant Insights on 12 Leadership Powers for Successful Women”. Power- Statement to use like an affirmation saying it out loud repeatedly:            “I align my brain for success and my life with my purpose.” Questions for you to journal about to start realizing where you are on your EVElutionaryTM path towards total alignment: 1. What are my conscious desires? / What goals do I choose to pursue? What gets stirred up when I put my attention on my goals? Fears? Resistances? What is important for me in life? What red flags warn me that I am in danger of hurting myself by compromising an important value? How good is my time and energy management when it comes to juggling all my different roles? How clear and strong am I in setting healthy boundaries between my roles and duties? Resources: Link to buy Sylvia’s international Amazon bestseller on Amazon: “Instant Insights of 12 Leadership Powers of Successful Women” Link to the Women’s Empowerment School: www.becker-hill.com

Tua Tagovailoa? Awesome. Erik Ezukanma? Also awesome. Jake and Josh dive into their top takeaways from the Dolphins' Preseason Week 2 win over the Commanders, sharing quick hits and key moments.Thoughts or questions — reach out to us at AnotherDolphinsPodcast@gmail.com!Another Dolphins Podcast is hosted by Joshua Houtz (@Houtz) and Jake Mendel (@JMendel94). To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices