Podcasts about product teams

The Hole in Your Product Team That Keeps Swallowing UsersA new employee engagement platform launched its pilot with a perfect customer. Warm relationship at the CEO level. Company-wide mandate. Strong early results from the users who engaged. One problem: most of the company never touched it. Despite the mandate. Despite the results sitting right there in the data.How to connect with AgileDad:- [website] ⁠⁠⁠https://www.agiledad.com/⁠⁠⁠- [instagram] ⁠⁠⁠https://www.instagram.com/agile_coach/⁠⁠⁠- [facebook] ⁠⁠⁠https://www.facebook.com/RealAgileDad/⁠⁠⁠- [Linkedin] ⁠⁠⁠https://www.linkedin.com/in/leehenson/

In 2026, Valentin Binnendijk walked into a software firm and found a product department with almost zero AI experience. Decades of deep engineering knowledge. Near-zero agentic practice. That room is the DACH mid-market, and it tells you the real blocker is not regulation. It is leadership and culture.Valentin co-founded TrekkSoft and STARTUPS.CH and has spent two decades digitising analogue businesses into SaaS. He now builds hyper-lean product teams that ship more with fewer people. In this episode, we get specific about how.We cover:Where vibe coding stops and agentic engineering starts, and why the difference is not the model but the processWhy the bottleneck moved from the engineering team to leadership and product managementThe three-step build after leadership buy-in: extract the knowledge, map the security risk, build a real test suite of thousands of scenariosHow to put agentic transformation on a CFO's P&L, the cost-saving case and the survival caseWhy public markets punished narrow single-use-case software companies with 40 to 50 percent valuation cutsWhere it breaks: talent, unrealistic expectations, and the “can I just buy it” trapThis is a practical conversation for founders, GTM and product leaders at B2B software companies who need to move from talking about AI to operating with it.The host, Marc Gasser, works at the intersection of product and go-to-market.

#355 | Dave sits down with Maria Scheifler to talk about why your marketing team might be getting less done as it grows — and what to do about it. Maria makes the case for running marketing like a product team: two-week sprints, a prioritized backlog, and a lightweight intake process that kills approval bottlenecks without losing control. She walks through the context-switching exercise that proves multitasking is destroying your output, how to push back on random requests from across the company without saying no, and why getting team buy-in before rolling out any operational changes is the step most marketing leaders skip.Timestamps(00:00) - - Intro: the problem isn't your strategy, it's your operating system (04:38) - - Maria's background (07:38) - - Why teams get bigger and somehow get less done (10:07) - - The multitasking exercise that proves context switching kills output (17:36) - - Running marketing like a product team: the mindset shift (20:24) - - Building a working agreement with your team (22:56) - - The experimentation guardrail template: killing approval bottlenecks without losing control (28:26) - - Building a prioritized backlog (32:47) - - How the backlog helps you push back without saying no (39:36) - - Two-week sprints: how to plan, commit, and ship (41:48) - - Daily standups: how to keep them short and useful (42:39) - - Sprint reviews: showing the rest of the company what marketing does (44:20) - - Retrospectives (46:19) - - Where to start on Monday Join 50,0000 people who get Dave's Newsletter here: https://www.exitfive.com/newsletterLearn more about Exit Five's private marketing community: https://www.exitfive.com/***Brought to you by:Knak - A no-code, campaign creation platform that lets you go from idea to on-brand email and landing pages in minutes, using AI where it actually matters. Learn more at knak.com/exitfive, or check out the MCP server by clicking this link. Vector - A contact-level ads platform that lets you build audiences from actual people on your site, clicking your ads, and checking out your competitors. Learn more at vector.co, and get on the waitlist for their new MCP server by clicking here. Compound Growth Marketing - A full-funnel demand generation agency that helps high-growth cybersecurity, DevOps, and enterprise software companies drive more pipeline through AI SEO, paid media, and go-to-market engineering. Visit compoundgrowthmarketing.com and tell them Dave sent you.***Thanks to my friends at hatch.fm for producing this episode and handling all of the Exit Five podcast production.They give you unlimited podcast editing and strategy for your B2B podcast.Get unlimited podcast editing and on-demand strategy for one low monthly cost. Just upload your episode, and they take care of the rest.Visit hatch.fm to learn more

Sorare 27 is taking shape! Laird and  @HarryTrades  break down the massive "Sorare Spotlight" featuring CEO Nicolas Julia and the product team. From the "anytime entry" revolution to the end of divisions, we're discussing what these changes mean for your gallery and your wallet.Key Topics:• Auto-Subs: Is the 6th slot the DNP savior we've wanted?• Sorare 27: Breaking down the June 19th Reveal timeline.• The Set Effect: Why retention is at an all-time high.• Market Impact: What happens to Classic card utility next season?Support the content by joining the Laird Social Club on Patreon: https://patreon.com/andrewmlaird⚽️ Become a Sorare manager today: https://sorare.pxf.io/WyLBnZ

Cat Wu is Head of Product for Claude Code and Cowork at Anthropic, building one of the most important AI products of this generation. Before joining Anthropic, Cat spent years as an engineer and briefly worked in VC. Today, she's interviewing hundreds of product managers who are trying to break into AI—and seeing firsthand what separates those who thrive from those who fall behind.We discuss:1. How Anthropic's shipping cadence went from months to weeks to days2. The emerging skills PMs need to develop right now3. Why you need to build products that don't yet fully work, so you're ready when the next model closes the gap4. Cat's most underrated AI skill: asking the model to introspect on its own mistakes5. Why Claude's personality is core to its success6. Why Anthropic's mission alignment eliminates the friction that slows most large organizations7. Why “just do things” is the most important principle for working at AI-native companies—Brought to you by:WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUsVanta—Automate compliance, manage risk, and accelerate trust with AI—Episode transcript: https://www.lennysnewsletter.com/p/why-half-of-product-managers-are-in-trouble—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Cat Wu:• X: https://x.com/_catwu• LinkedIn: linkedin.com/in/cat-wu• Newsletter: https://catwu.substack.com—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Cat Wu(01:29) Working with Boris Cherny(04:29) What Anthropic looks for when hiring PMs(06:18) How to help your teams move fast(08:58) How PRDs and roadmaps have evolved at Anthropic(10:28) The Mythos model and Anthropic's shipping velocity(11:54) What happened with the Claude Code source code leak(12:53) Integrating with OpenClaw(14:19) How the PM team is structured at Anthropic(15:42) How engineer and PM roles are merging(17:54) Why product taste is the most valuable skill(20:10) Where human brains will continue to be useful(22:23) How to stay sane in constant chaos(24:16) What gets sacrificed when you ship so fast(27:47) The /powerup command(28:32) Why Anthropic has been so successful(32:28) When to use Claude Code vs. Desktop vs. Cowork(35:58) Tips for getting started with Cowork(38:44) Demo: Using Cowork to build slide decks overnight(41:48) Cat's PM tech stack and internal tools(46:47) Which teams use the most tokens(51:15) The emerging skills PMs need for AI companies(55:00) Why building evals is underappreciated(58:44) Why Claude's character and personality matter so much(1:00:44) How new models force product changes(1:05:11) The vision for Claude Code and Cowork(1:07:22) Advice for thriving in an AI-driven world(1:09:18) Why 95% automation isn't good enough(1:11:58) Build apps you use every day, not prototypes(1:13:41) The divide between AI skeptics and believers(1:15:19) Lightning round—Referenced: https://www.lennysnewsletter.com/p/how-anthropics-product-team-moves—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

How are Chief Product Officers redesigning their org charts and ways of working to build truly AI-native product teams? In this podcast hosted by Hoda Mehr, Co-founder and CEO of Up My Mojo and a Board Member at Products That Count, Monumental Chief Product Officer Pawan Gaargi will be speaking on how product leaders are transforming their teams to operate in the AI era. As organizations move beyond using AI as a feature-level tool and begin rethinking how products are built, shipped, and managed, product leaders are being asked to reshape processes, decision-making, and collaboration across their teams. Drawing from his experience scaling teams and rebuilding workflows through acquisitions at Monumental and from his early product leadership roots at Zynga, Pawan shares how experimentation, hypothesis-driven thinking, and hands-on leadership are helping teams become AI-native while keeping core product fundamentals like retention, player motivation, and growth metrics firmly in focus.

Margie Agin is a seasoned go-to-market advisor for B2B technology scale-ups. She brings deep expertise across digital marketing, IT, and cybersecurity. As Founder and Chief Strategist of Centerboard Marketing as well as a former leader at companies like Cisco and Blackboard, she has built a career translating complex technical products into effective market strategies. In this episode (which marks her second visit to Product Momentum), Margie's message is clear: go-to-market (GTM) is not a one-time event or a siloed function – it is an ongoing, cross-functional system that must connect product teams and broader business goals. GTM: A Shared, Continuous Responsibility It's time to redefine go-to-market as a shared, continuous responsibility across teams, Margie says. Product managers in particular often feel disconnected because their fellow stakeholders in the organization misunderstand go-to-market as either a launch event or solely a sales function. Margie reframes GTM as “a coordinated cross-functional engine that spans product, marketing, sales, customer success, and even finance.” It's a perspective that challenges product teams to actively engage in downstream outcomes and collaborate beyond traditional boundaries. Business Context Drives Product Contribution Fundamental to making this critical connection between product team and business outcomes is embracing the product's fit within the broader business and portfolio strategy. Margie reiterates a message shared by recent guests that product managers need to look beyond their individual product scope and consider how their work contributes to company-wide goals like growth, positioning, and revenue. “Think about your product within the context of the business and how it fits into the whole portfolio,” Margie urges. Know Your Targets: Clarity of Audience and Signals Improves Outcomes Rather than trying to boil the ocean by targeting broad customer segments, teams should focus on specific attributes and behaviors that indicate a strong fit. Defining a precise ideal customer profile and identifying meaningful signals of readiness bring a level of clarity to your message that enables more effective messaging, prioritization, and sales efficiency. “It [your target] can’t just be like, everybody that has money,” Margie says. “It has to be somebody with a defined problem and defined attributes – beyond just industry or size of company.” For product leaders, this reinforces the need to deeply understand customer context and bring that insight into go-to-market planning. In the Age of AI, a Strong Point of View Still Matters Finally, even as AI accelerates execution, it does not – indeed, can not – replace the original thinking and nuanced messaging. Teams must still define what makes their product unique and why it matters. AI can enhance delivery, Margie adds, but it cannot generate true insight or perspective. “The difficult part is always what the difficult part has always been, which is figuring out what you have to contribute to the conversation that is unique.” Margie Agin, in her own words: [04:23] When I think of go-to-market, I think one of the most important aspects is that it is connected across different teams. [08:22] Go-to-market is all about connecting the strategy to the execution to make sure everyone is on point with the strategy. [08:53] Product teams need to think about how their product fits into the context of the organization’s whole portfolio. [11:30] As a company matures, its go-to-market strategy lands in one of three buckets: problem-market fit, product-market fit, and platform-market fit. [19:29] We can’t try to boil the ocean and sell to everybody, right? Target customers can’t be ‘everybody who has money.’ Customers have to have a defined problem and some defined attributes, beyond just industry or size of company. [23:58] That type of deep, nuanced thinking…that human work…I don’t think at this point, is something that is solved by AI. [26:40] AI can execute a lot of work on your behalf, but only you know what ultimately you want the result to be. Andrew Knoblauch leads Sales, Partnerships, and Acquisitions at ITX. He believes the best technology partnerships start with genuine relationships, and that understanding a business deeply is what turns a software engagement into lasting value. Andrew connects organizations with technologists and product leaders while remaining invested in delivering strong business outcomes. The post 184 / Connecting Product Teams with Go-To-Market Outcomes, with Margie Agin appeared first on ITX Corp..

In this episode of the Future of UX Podcast, I'm speaking with Bansi Mehta, founder of Koru UX Design. We talk about one of the biggest challenges product teams face today:Everyone wants to add AI to their product.But very few teams know how to actually design AI features that create real value for users.Bansi recently shared a framework her team uses internally to design AI-powered experiences. The framework is called Sense–Shape–Steer, and it helps teams move from vague ideas like “we should add AI” to well-designed AI features that solve real problems.In this conversation we break down the framework step by step and talk about:✨ why many AI projects fail before they even start✨ how to identify real AI opportunities✨ how to decide between copilot, conversational, or agentic experiences✨ why storyboarding AI behavior matters more than pixel-perfect mockups✨ and how teams can prototype and test AI features faster than everIf you're currently exploring AI features or designing AI-powered products, this episode will give you a practical way to think about it.00:00 Intro02:30 Bansi's background in healthcare UX06:50 Why most teams struggle with AI features11:30 The Sense–Shape–Steer framework explained20:00 Copilot vs agentic AI experiences27:00 Storyboarding AI interactions33:00 Rapid AI prototyping and experimentation44:00 Why AI literacy matters for designersBansi Mehta (LinkedIn)https://www.linkedin.com/in/bansi-mehta/Koru UX Designhttps://www.koruux.com/Sense–Shape–Steer AI UX Framework(Comment “SENSE” on Bansi's LinkedIn post to get access)Topics in this episodeAI for Designers: 5-week Bootcamp

Episode web page: https://bit.ly/4bC3uCy Episode summary:In this episode of Insights Unlocked, host Mike McDowell sits down with Jeff Lash, VP of Product Management at Insperity, to explore how product leaders can turn customer insight into smarter decisions and better outcomes.  Drawing on decades of experience across UX, product management, and consulting, Jeff shares practical advice on balancing voice of the customer with business strategy, avoiding common roadmap pitfalls, and building high-performing, customer-centric teams. Jeff explains why product teams often misinterpret customer feedback, emphasizing the importance of asking better questions and digging deeper into the “why” behind what customers say. He also highlights how over-reliance on processes, artifacts, or quantitative data can obscure real insight—and why qualitative research remains a powerful, often underutilized tool. The conversation dives into how teams can prioritize effectively, align around strategy, and avoid getting stuck in reactive “firefighting” mode. Jeff also shares how successful teams use customer insight as a unifying force across stakeholders, while maintaining a growth mindset that drives continuous improvement. You'll learn: Why asking better follow-up questions leads to better product decisions How to balance qualitative and quantitative customer insights Common mistakes teams make when relying on roadmaps and feedback How to prioritize effectively without getting stuck in reactive work Why voice of the customer should act as a “great equalizer” across teams How a growth mindset helps product teams continuously improve Resources & links: Jeff on LinkedIn (https://www.linkedin.com/in/jefflash/) Jeff's website (https://www.jefflash.com/) The Insperity website (https://www.insperity.com/) Mike McDowell on LinkedIn (https://www.linkedin.com/in/mmcdowell1/) Nathan Isaacs on LinkedIn (https://www.linkedin.com/in/nathanisaacs/) Learn more about Insights Unlocked: https://www.usertesting.com/podcast

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The Head of Product on the Edits team, Matt, stops by to share what the team has been doing, and how it can help you make better content using the Edits app. Also, the Head of Instagram explains to Dax Shepherd how to customize on your Instagram Reels feed on the Armchair Expert podcast, and Lauren from the YouTube Creator Insider team talks about how to track income across 2 different YouTube channels. After the news, I do Wednesday Waffle, where I talk about a topic that may or may not be related to social media.   Links: Edits: Matt from the Edits Product team talks about its best features (Instagram) Instagram: Adam Mosseri talks customizing your algorithm (Instagram) YouTube: This Week at YouTube: Studio Payment Activity Expansion (YouTube)   Wednesday Waffle: Project Hail Mary (Book) (YouTube) Mandalorian and Grogu (YouTube) Sign Up for The Weekly Email Roundup: Newsletter Leave a Review: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow Me on Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@danielhillmedia⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, I speak with returning guest Dan Olsen, product management trainer, consultant, speaker, and author of The Lean Product Playbook. We go deep into the rise of "vibe coding" and what it means for product teams. Dan has gone deep into vibe coding, is offering training courses in it, and believes it firmly sits within his existing Lean Product Playbook process and supports the Product/Market Fit Pyramid. Episode highlights AI shifts the product bottleneck – As AI tools make engineers more productive, the limiting factor increasingly becomes product discovery and decision-making rather than development capacity. Product management isn't going away – AI can automate some tasks, but judgement, prioritisation, and making decisions under uncertainty remain core human responsibilities. The rise of the product builder mindset – New AI tools allow product managers to prototype ideas directly, giving them a more hands-on way to explore solutions. The vibe coding spectrum – AI development tools exist on a spectrum from simple browser-based tools through to full developer IDE integrations, letting teams adopt them at different levels of technical depth. Vibe prototyping vs vibe coding – For most product managers, the real opportunity isn't replacing engineers, but quickly generating interactive prototypes that help teams explore ideas before committing to production code. Divergent thinking still matters – AI tools often generate a single solution, so teams need to deliberately explore multiple directions and alternatives rather than blindly optimising the first result. Prototypes have four key audiences – Early prototypes help clarify ideas for the creator, align the product team, communicate concepts to stakeholders, and gather feedback from real users. Context beats clever prompting – The quality of AI-generated output depends far more on the context, requirements, and constraints you provide than on the prompt itself. Iteration beats one-shot builds – The real power of these tools comes from rapid experimentation and refinement rather than expecting a perfect result from a single prompt. ... and much more. Dan's stuff LinkedIn: https://www.linkedin.com/in/danolsen98/ Dan's Website: https://dan-olsen.com/ Dan's Vibe Coding Template: https://dan-olsen.com/vibe-coding/ YouTube: https://www.youtube.com/danolsen Lean Product Meetup: https://www.meetup.com/lean-product/ The Lean Product Playbook: https://amzn.to/1EYCUdP

What if the best product decision is saying “no” to what everyone else is building?In this episode of Supra Insider, Marc Baselga and Ben Erez sit down with Alexander Danilowicz, founder and CEO of Magic Patterns, to unpack why his AI prototyping tool is the only one refusing to add backend features—even when competitors like Lovable, Bolt, and v0 are racing in that direction. Alex explains how focusing exclusively on front-end code leads to higher quality prototyping, why many use cases don't actually need a database, and how product teams at large companies can't risk connecting production data to prototyping tools anyway.They explore what it takes to maintain conviction when investors, customers, and the entire market seem to be moving the opposite way. Alex shares how using your own product daily keeps you honest about what's actually broken, why real user feedback looks different from “fake” feature requests (like “add dark mode”), and how a strong co-founding relationship helps you resist temptation when external pressure mounts.If you're a product leader wrestling with feature requests that don't align with your vision, trying to figure out when to follow the market versus when to trust your gut, or building tools in the AI coding space, this episode is for you.All episodes of the podcast are also available on Spotify, Apple and YouTube.New to the pod? Subscribe below to get the next episode in your inbox

Why Soft Skills Outlast Technical Skills on Product Teams - Mike CohnAnyone who has worked in product development for more than a few years has seen the same pattern repeat itself.The technical skills that once felt essential gradually—or sometimes suddenly—become obsolete. Tools change. Frameworks fall out of favor. Architectures that once seemed modern start to look dated.This isn't new, but it is accelerating.The half-life of technical skills keeps shrinking, especially in technology. In the 1980s, it took ten years for half of what you knew to become outdated. Today, it is four years, and will soon fall below two years according to a Stanford professor. This raises an important question for leaders:Where does investment in people have the greatest long-term impact?Technical skills are necessary, of course. But they are rarely durable.Soft skills behave very differently.When someone learns how to collaborate well, make good decisions, facilitate discussions, or lead others, those skills don't decay at the same rate. Instead, they tend to compound. They become part of how that person works.Learning how to learn is a good example. Once someone develops that capability, it stays with them. The same is true for decision-making, leadership, and collaboration. These are skills that can continue to improve over time—but they don't become irrelevant.I once saw just how important this was during a demo to a group of nurses.A programmer demonstrated new functionality and showed text on the screen that suggested giving Saltine crackers to a newborn—clearly clinically inappropriate.He tried to explain that it was just placeholder text. The real point, he said, was the workflow, not the words.But to the nurses, the words mattered a great deal.Their professional identity is grounded in “do no harm.” What they saw on the screen violated that principle. They were ready to escalate the issue and cancel the project.What saved the project wasn't a technical fix.It was the project manager's soft skills.He calmed the situation, acknowledged the nurses' concerns, explained what had happened, and persuaded them to come back a week later for a revised demo.The failure wasn't technical—it was a failure of empathy.Product development is full of uncertainty. We work with evolving requirements, incomplete information, and users whose trust we must earn and keep.Soft skills reduce risk in these environments.Empathy helps teams understand users. Clear communication builds trust. Collaboration prevents small misunderstandings from becoming major setbacks.And when these skills improve, the benefit isn't limited to one person.If someone learns a new technical skill, that benefit often stays with them. But when someone learns to collaborate better, the entire team benefits. Everyone gets better.This is one reason leaders often underestimate the return on investing in soft skills.The payoff isn't always immediate or easy to measure. It tends to show up most clearly under pressure—when teams need to have hard conversations, discuss options honestly, and make good decisions quickly.That's also when the absence of soft skills is most costly.Some leaders think these skills can wait until things slow down. In reality, pressure is when they matter most.Teams with strong soft skills can disagree productively, make tradeoffs together, and move forward with confidence—because trust was built earlier.Everyone on a product development team benefits from strong soft skills, but some roles depend on them especially heavily.How to connect with AgileDad:- [website] ⁠https://www.agiledad.com/⁠- [instagram] ⁠https://www.instagram.com/agile_coach/⁠- [facebook] ⁠https://www.facebook.com/RealAgileDad/⁠- [Linkedin] ⁠https://www.linkedin.com/in/leehenson/

Ryan Debenham, CEO of Grin, shares his unconventional journey from software engineer to leading a nearly billion-dollar creator management platform. In this candid conversation, Ryan reveals how he "accidentally" became a CEO by following challenges rather than titles, and why that mindset shift transformed how he builds products and companies.He discusses the critical disconnect between engineering and go-to-market teams, the revolutionary potential of AI agents in influencer marketing, and why democratizing influence could unlock a massive untapped market. Ryan also shares insights from his time at Qualtrics (acquired by SAP for $8B) and Route, offering practical wisdom on connecting product teams to revenue outcomes and building AI that feels "alive."Key Takeaways[4:30] - The Accidental CEO Path: Ryan explains how becoming a CEO was never his plan—he loved building products but never built companies around them. His career evolved by chasing challenges rather than titles or money.[10:30] - The Product-to-Company Graveyard: Ryan candidly shares how his early product ideas (including a ride-sharing concept 20 years ago and a photo categorization tool) died because he focused only on building, not on solving the hard business problems.[12:15] - The Mindset Shift: The biggest change from engineering to CEO? When revenue numbers became Ryan's responsibility, he finally understood what customers truly needed—not just what they said they wanted.[14:30] - Breaking Down Silos: Ryan discusses why the tension between product, engineering, marketing, and sales "will kill the business" and how he's connecting these departments at the hip.[19:30] - The Qualtrics Lesson: A powerful story about spending six months building the wrong text analytics product at Qualtrics, despite sitting next to customers repeatedly. The lesson: understanding business needs requires deeper connection than just listening to feature requests.[26:00] - AI as Electricity: Ryan's compelling analogy comparing LLMs to the development of electricity and CPUs—powerful building blocks that are worthless alone but transformational when paired with the right infrastructure.[28:30] - Mandatory AI Adoption: Ryan required all engineers at Grin to use AI coding tools. One engineer quit over the pressure but came back, realizing it was a mistake. His prediction: in a few years, you won't get hired as an engineer if you don't know AI tools.[32:00] - Building Software That's "Alive": Ryan describes Gia, Grin's AI agent that journals daily, runs standups with other agents, creates action items, and can discuss what she's learning and what features should be built next.[35:00] - The Influencer Marketing Problem: Why Grin's growth stalled—aspirational customers bought the software but failed at influencer marketing because the operational complexity was too high, leading to churn.[38:30] - The Two-Sided Platform Gap: Most influencer platforms built for merchants and forgot creators. Ryan explains why supporting creators is the most important part of the solution.[44:30] - Democratizing Influence: Ryan's vision that "everybody is an influencer"—the real opportunity is capturing and rewarding the micro-influence that happens in everyday conversations between millions of people.[49:00] - The Collision Course: Why affiliate marketing and influencer marketing are merging into something new—it's all about capturing word-of-mouth at different scales.Tweetable...

saas.unbound is a podcast for and about founders who are working on scaling inspiring products that people love, brought to you by https://saas.group/, a serial acquirer of B2B SaaS companies. In episode #3 of season 6, Daniel Thulfaut, the Head of Product at saas.group talks with Arne Kittler, co-founder of Product at Heart, a conference for curious product people, and an experienced product management leader, building digital products & services for 25 years.----------- Episode's Chapters -----------0:05 — Introduction and Guest Welcome2:44 — The Power of Product Communities5:46 — Internal vs External Communities10:12 — Building Community at Xing13:05 — Community Rituals and Values15:39 — Scaling Challenges and Context26:19 — Community Formats and Co-Creation34:54 — Fractional Leadership Roles39:28 — When Part-Time Leadership Works44:13 — Managing Time and PrioritiesArne - https://www.linkedin.com/in/arnekittler/ Product at Heart - https://productatheart.com/ Subscribe to our channel to be the first to see the interviews that we publish - https://www.youtube.com/@saas-groupStay up to date:Twitter: https://twitter.com/SaaS_groupLinkedIn: https://www.linkedin.com/company/14790796

In this Q&A episode, Eric Naiburg, COO of Scrum.org, is joined by Darrell Fernandes, Executive Advisor at Scrum.org to explore how AI is showing up in Scrum Teams today—and what it really takes to make it valuable.Drawing from questions raised during a recent webinar: Managing Your AI Teammate: Turning AI from Experiment to Strategic Partner, they discuss practical ways teams are using AI as a research assistant, DevOps helper, and development aid. They emphasize why Scrum's iterative mindset is critical for working with AI, especially given how quickly models, capabilities, and limitations evolve.The conversation tackles common misconceptions about AI replacing people, the importance of validating AI outputs, and why teams should consider writing a “job description” for AI to clearly define expectations, measures of success, and accountability. Eric and Darrell also explore how AI may automate some work while creating entirely new roles and opportunities for professionals.This is Part 1 of an ongoing conversation focused on helping Scrum Teams thoughtfully integrate AI while staying grounded in empiricism, collaboration, and value delivery.Key LearningsWhy there is no single model for integrating AI into Scrum—and why experimentation mattersHow Scrum's inspect-and-adapt mindset applies directly to AI usagePractical examples of AI as a research assistant, DevOps helper, and development toolWhy teams must validate AI outputs to manage bias, accuracy, and complianceHow defining a job description for AI helps measure effectiveness and valuWhy AI is better viewed as a teammate or tool, not a replacement for peopleHow AI may eliminate some tasks while creating new roles and opportunitiesLinksWebinar - Managing Your AI Teammate: Turning AI from Experiment to Strategic PartnerWhitepaper - The AI Teammate Framework: A Four-Step Framework for Product Teams

In this episode, we're joined by Youssef Hounat, product leader, ex-auditor, and (unexpectedly) freestyle-rap-ready builder of tools for accountants. He went from training at Ernst & Young to helping scale DataSnipper into one of the Netherlands' unicorns, and now he's building again as Head of Product at ComplianceWise. We unpack what's actually changing inside product teams: AI stops being a rewrite/search tool and becomes a teammate that takes real work off your plate. Youssef shares how the best teams reduce context switching, turn customer research into a habit, and use agentic workflows + MCPs to connect tools like email, Jira, Figma, and docs without becoming a “fleshy meat puppet” copy-pasting between 10 tabs. Here are some of the key questions we address: Why do 99% of teams still use AI wrong, and what mindset shift fixes it? How do you turn customer research into a continuous habit using transcripts + automated pipelines? What's a real example of AI helping product push back on “build this to close the deal” and finding the true request underneath? How do top teams use MCP + coding agents to move from idea → PRD → Jira tickets without leaving the terminal? What's the difference between a prototype you build to learn vs a product you build to earn — and why vibe-coded output can't go straight to production? How do you avoid reinventing the wheel and start with small weekly automations that compound? What's the real risk behind shadow AI usage  and how do you get IT onside instead of blocked?

Product marketing is marketing at it's purest form (not our words) —but only if we redefine what marketing actually means. Garrett Jestice, founder of Prelude, explains why tech companies get marketing backwards, how AI shifts risk from building to selling, and why messy go-to-market isn't a channel problem—it's a foundational problem. We dive into the CPG vs. SaaS marketing divide, why founders don't get PMM, and the brutal truth about connecting your work to revenue. Spoiler: If you can't explain who you're selling to and why, more ads won't save you.More from this convo...Why product marketers are the "purest form of marketing" (but tech ruined it) • The CPG lesson that every SaaS company needs to learn • How AI is making "can we build it?" irrelevant • Why your messy GTM isn't a lead problem—it's a foundation problem • The Cheerios brand manager approach to product marketing • How tech companies segmented marketing into irrelevance • The brutal truth about connecting PMM work to revenue • Why early-stage companies are PMM paradise • The "small wins" strategy for proving PMM value • How to sell yourself internally (when founders don't get it) • Why more ads won't fix your broken positioningTimestamps 00:00 Introduction & First Redheaded Guest01:00 Guest Introduction: Garrett Jestice, Prelude Founder02:00 The Big Question: Are Product Marketers Actually Marketers?02:30 "Purest Form of Marketers" But Not Today's Definition03:00 The CPG Background: Cheerios at General Mills04:00 Brand Managers as General Managers04:30 CPG vs. Tech: Where the Real Risk Lives05:00 AI Shifting Risk from Building to Selling06:00 The Minneapolis Connection07:00 Physical Products vs. Digital "Ones and Zeros"09:00 The Segmentation Problem in Tech Marketing11:00 Product Team vs. Marketing Team Divide13:00 Why Founders Don't Understand PMM15:00 The Language Barrier with Engineering Founders17:00 Building in Public & Personal Branding19:00 Rapid Fire Round Begins21:00 Worst Marketing Advice Stories23:00 Budget Allocation Debates25:00 The AI Hype Cycle Discussion27:00 Personal Branding for PMMs29:00 The Newsletter Renaissance31:00 SEO in the AI Age33:00 Career Journey: CPG to SaaS35:00 Founding Prelude Agency37:00 Early-Stage Company Focus39:00 The Foundation Problem in GTM41:00 Working with Founders Who Don't Get It43:00 Getting Wins in Their Language (Revenue)45:00 Connecting PMM Work to Revenue47:00 Small Wins Strategy49:00 Messy GTM Execution Fix50:00 Channels vs. Foundations51:00 How to Sell Consulting Internally52:00 Closing & Where to Find GarrettHosted on Ausha. See ausha.co/privacy-policy for more information.

Product teams play a key role in solving user problems and achieving product success. But who should lead the team and manage its work? The Head of Product, the product manager, or someone else? In this episode, I explain why product teams should be self-managing. I describe the benefits this approach offers and what it takes to succeed at self-management.

Mike & Tommy tackle the controversial idea of killing your data team, questioning whether centralized BI teams have become expensive bottlenecks, and exploring how embedding analysts into product teams could deliver faster, more impactful insights.https://medium.com/dashboards-suck/kill-your-data-team-why-product-teams-should-own-data-bddd991dcff8Get in touch:Send in your questions or topics you want us to discuss by tweeting to @PowerBITips with the hashtag #empMailbag or submit on the PowerBI.tips Podcast Page.Visit PowerBI.tips: https://powerbi.tips/Watch the episodes live every Tuesday and Thursday morning at 730am CST on YouTube: https://www.youtube.com/powerbitipsSubscribe on Spotify: https://open.spotify.com/show/230fp78XmHHRXTiYICRLVvSubscribe on Apple: https://podcasts.apple.com/us/podcast/explicit-measures-podcast/id1568944083‎Check Out Community Jam: https://jam.powerbi.tipsFollow Mike: https://www.linkedin.com/in/michaelcarlo/Follow Tommy: https://www.linkedin.com/in/tommypuglia/

In this episode of The Product Experience, host Randy Silver sits down with product veteran John Cutler to explore why creating great products remains one of the hardest things organisations do. They dive into why so many companies adopt off‑the‑shelf models (“Spotify”, “SAFe”, etc) and still struggle, and how the secret often lies not in what you build but how you build it—specifically the game you design for how you work.Chapters00:00 — The stigma around “how you work”00:54 — Introducing John Cutler (again)01:25 — What John's building at Dotwork02:46 — From fun to formal: doing discovery at scale04:04 — Why process became a bad word05:10 — The “cavalier PM” mindset06:28 — Empowered teams vs. harsh realities08:00 — What great pockets of practice have in common09:03 — Managing up vs. doing the right thing10:24 — Playing the game vs. designing the game11:20 — What makes a great internal game12:33 — Defining success: thriving, surviving, progressing13:46 — Environmental design: why leaders hesitate15:10 — Making intentional design less intimidating16:42 — Tools, rituals, and the power of checkpoints18:23 — The behaviour design playbook20:41 — Removing blockers: access, repetition, reflectionWe're taking Community Questions for The Product Experience podcast.Got a burning product question for Lily, Randy, or an upcoming guest? Submit it here. Our HostsLily Smith enjoys working as a consultant product manager with early-stage and growing startups and as a mentor to other product managers. She's currently Chief Product Officer at BBC Maestro, and has spent 13 years in the tech industry working with startups in the SaaS and mobile space. She's worked on a diverse range of products – leading the product teams through discovery, prototyping, testing and delivery. Lily also founded ProductTank Bristol and runs ProductCamp in Bristol and Bath. Randy Silver is a Leadership & Product Coach and Consultant. He gets teams unstuck, helping you to supercharge your results. Randy's held interim CPO and Leadership roles at scale-ups and SMEs, advised start-ups, and been Head of Product at HSBC and Sainsbury's. He participated in Silicon Valley Product Group's Coaching the Coaches forum, and speaks frequently at conferences and events. You can join one of communities he runs for CPOs (CPO Circles), Product Managers (Product In the {A}ether) and Product Coaches. He's the author of What Do We Do Now? A...

Shipping product features fast feels like winning—until you realize you've deployed seven half-baked features that users tolerate instead of one they actually love. The MVP methodology promised speed and learning, but somewhere along the way it became an excuse for shipping incomplete products and calling it "strategy."Join hosts Chuck Moxley and Nick Paladino as they tackle one of product development's most polarizing debates: the Minimum Viable Product. Drawing insights from companies like Duolingo and referencing their previous conversation with Nakul Goyal from Carfax, Nick and Chuck explore whether MVPs encourage smart learning or just create a culture of half-finished products. They dissect the difference between "low minimum" and "high minimum" approaches, expose how "finding the green" leads to cherry-picked data, and reveal why product bloat happens when teams try individual valuable features without measuring what they displaced. Most importantly, they argue that the real problem isn't MVPs themselves—it's whether your culture is built around making customers happy or making the wrong people happy.  Key Actionable Takeaways: Redefine "minimum" based on customer value, not developer speed - The developer defines what's technically achievable fastest, but minimum should prioritize what creates viable user value, not just "does it work"Use production data to guide iteration, not cherry-pick success metrics - Avoid "finding the green" by searching for any positive indicator; instead, let real user data guide your vision and be willing to kill 6 out of 7 tested featuresMeasure diminished value when adding new features - Product bloat occurs when you validate each new feature individually without assessing how it reduces the value of existing features it displaces or pushes down the pageNick & Chuck's previous conversation with Nakul Goyal from Carfax: https://youtu.be/-Torg078AtE  Want more tips and strategies about creating frictionless digital experiences? Subscribe to our newsletter! https://www.thefrictionlessexperience.com/frictionless/Download the Five Step Site Speed ​​Target Playbook: http://bluetriangle.com/playbookNick Paladino's LinkedIn: https://linkedin.com/in/npaladino  Chuck Moxley's LinkedIn: https://linkedin.com/in/chuck-moxleyChapters: (00:00) Introduction - The MVP controversy  (01:00) Defining minimum viable - What does it really mean? (02:00) Minimum lovable vs minimum viable - Nakul Goyal's approach (03:00) Who defines minimum and how? (05:00) Product bias and "finding the green" (08:00) Product bloat - When features cannibalize each other (10:00) Low minimum vs high minimum approaches (12:00) Revolut case study - When testing breaks the experience (16:00) Duolingo's approach - Getting streaks wrong then right (19:00) How to measure "lovable" - The data question (21:00) Culture matters more than methodology (23:00) Conclusion

On today's episode of LaunchPod, we've got something special for you. Normally, you'd have to join us in person at one of the dinners we host for product leaders to hear this talk from Oji Udezue. But the response has been so great, we had to bring him onto the show again. Oji has previously held product leadership roles at Typeform, Twitter, Calendly, and Atlassian. Today, he's joining us to share a major problem in product delivery that he's seeing as AI adoption increases across teams. In this episode, we discuss: * The “three-speed problem,” as Oji calls it – how AI will bring about a 10x increase in engineering velocity. But where does that leave product management and go-to-market teams if they can't keep up? * Why AI is a BS term, as it's really five new AND distinct capabilities – and how to use those as a framework for smarter product strategy * And how his “shipyard model” for product teams will ensure you keep up and thrive, even as AI reshapes how we build software Links Oji's LinkedIn: https://www.linkedin.com/in/ojiudezue/ ProductMind: https://www.productmind.co/ Building Rocketships: Product Management for High-Growth Companies: https://www.productmind.co/building-rocketships-book Resources Oji's past LaunchPod episode: https://www.productmind.co/building-rocketships-book Claude: https://claude.ai/ Cursor: https://cursor.com/ Windsurf: https://windsurf.com/ Chapters 00:00 Introduction 1:21 Building Rocket Ships by Oji and Ezinne Udezue 1:55 What is the shipyard model in product? 5:20 The evolution of technology: Why AI is just a new technology level 7:50 The 5 flavors of AI 13:23 The limiting function of development is no longer the speed of engineering – but what is it now? 17:05 Solving the three-speed problem 21:32 Conclusion Follow LaunchPod on YouTube We have a new YouTube page (https://www.youtube.com/@LaunchPodPodcast)! Watch full episodes of our interviews with PM leaders and subscribe! What does LogRocket do? LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com (https://logrocket.com/signup/?pdr). Special Guest: Oji Udezue.

In this episode, Dave West sits down with Darrell Fernandes, executive advisor at Scrum.org to explore the The AI Teammate Framework: A Four-Step Framework for Product Teams, featured in a new whitepaper. They discuss how to treat AI like a true teammate—onboarding it with context, guiding interactions through user stories, and establishing governance to manage performance.Darrell emphasizes the importance of structured AI adoption, comparing it to onboarding human team members, and highlights how a disciplined approach can improve efficiency, reduce costs, and even protect jobs. From writing AI job descriptions to building prompt libraries and governance strategies, this episode offers actionable insights for teams navigating the evolving AI landscape.Listen now to learn how to bring AI onboard as a true teammate.For more, there is a live webcast coming up next week that will also be available as a recording. Learn more. Topics covered:Introduction to the AI Teammate FrameworkWhy a framework?The need for a structured, holistic approach to AI in teamsAI as a Team MemberTreating AI like a teammate rather than a toolThe importance of onboarding and providing contextComparing AI onboarding to human onboardingThe Four Steps of the FrameworkIdentify AI's Role – defining the problem and writing an AI “job description”Onboard with Context Management – giving AI access to product, customer, and process contextInteract Using User Stories – structuring collaboration through clear, outcome-based interactionsGovernance and Performance Management – ensuring accountability, compliance, and efficiencyChallenges of Working with AIContext management and maintaining prompt librariesBalancing AI experimentation with structureCost, scalability, and efficiency concernsLessons from the Early Days of Cloud ComputingParallels between the AI adoption curve and cloud evolutionThe shift from unregulated enthusiasm to disciplined governanceFuture of AI in Product TeamsThe importance of a disciplined, thoughtful approachHow structured AI collaboration can enhance — not replace — human workActionable Next Steps for TeamsRead the white paperAssess current onboarding and management practicesApply the four-step framework to integrate AI effectively

In this episode of The Product Experience, Lily Smith speaks with Vidya Dinamani, product veteran, coach, and Co-founder of Product Rebels, about how to tell if your team is truly product-led or just paying lip service. With over a decade of experience coaching hundreds of teams, Vidya shares her insights into the critical elements of product maturity, the most overlooked barriers to effective product work, and how Product Rebels' diagnostic framework is helping companies move from chaos to clarity. Chapters00:00 – The customer conversation gap01:28 – Meet Vidya Dinamani and Product Rebels03:35 – Why they built a diagnostic, not an assessment04:45 – Mindsets, competencies, and the missing piece: resources06:28 – AI readiness: the new fourth pillar07:40 – What it really means to be product-led09:59 – How teams are using the diagnostic13:10 – Breaking down the four pillars16:01 – Why access to customers remains a key obstacle17:38 – Patterns, or lack thereof, in product maturity20:26 – AI readiness in context23:59 – A case study: product maturity at scale27:52 – Final thoughts on assessment vs namingWhat we learned from Vidya Most product teams lack customer access: 70–80% of PMs Product Rebels encounter say they've never spoken to a customer.Being product-led requires more than intent: It demands mindset, core competencies, supportive resources—and now AI readiness.Diagnostic, not assessment: Their tool isn't about performance reviews; it's a heat map that reveals where to begin your transformation.AI is not a bolt-on: AI readiness is most effective when integrated into the broader product maturity conversation, not treated as a silo.Start with one thing: Rather than trying to become product-led across the board, identify a single focus area and build momentum from there.Internal PMs need customer framing too: Even teams building internal platforms need customer advocacy and insight.Featured Links: Follow Vidya on LinkedIn | Product Rebels We're taking Community Questions for The Product Experience podcast.Got a burning product question for Lily, Randy, or an upcoming guest? Submit it here. Our HostsLily Smith enjoys working as a consultant product manager with early-stage and growing startups and as a mentor to other product managers. She's currently Chief Product Officer at BBC Maestro, and has spent 13 years in the tech industry working with startups in the SaaS and mobile space. She's worked on a diverse range of products – leading the product teams through discovery, prototyping, testing and delivery. Lily also founded ProductTank Bristol and runs ProductCamp in Bristol and Bath. Randy Silver is a Leadership & Product Coach and Consultant. He gets teams unstuck, helping you to supercharge your results. Randy's held interim CPO and Leadership roles at scale-ups and SMEs, advised start-ups, and been Head of Product at HSBC and Sainsbury's. He participated in Silicon Valley Product Group's Coaching the Coaches forum, and speaks frequently at conferences and events. You can join one of communities he runs for CPOs (CPO Circles), Product Managers (Product In the {A}ether) and Product Coaches. He's the author of What Do We Do Now? A...

AI is fundamentally reshaping how digital products are conceived, built, and delivered—and the shift isn't just technical, it's cultural. Jyothi Nookula, a seasoned AI product leader with experience at companies like Netflix, Meta, Amazon AWS, and Etsy, joins Galen to unpack what makes AI-native products so different from conventional ones, why building them demands new evaluation frameworks, and how product teams can evolve their skills and mindset to keep pace.Whether you're dealing with unpredictable model outputs, shifting success metrics, or a team with uneven comfort levels around emerging tech, Jyothi offers grounded, real-world strategies for staying user-centered, experiment-driven, and confidently collaborative in the face of rapid change.Resources from this episode:Join DPM MembershipSubscribe to the newsletter to get our latest articles and podcastsConnect with Jyothi on LinkedInCheck out Next Gen Product Manager and Jyothi's website

In this episode of Always Be Testing, host Tye DeGrange sits down with Amro Naddy, VP of Product and General Manager at U.S. News & World Report, where he leads digital transformation, innovation, and audience growth initiatives across one of the most trusted names in media.With a background spanning product strategy, growth, and media leadership, Amro brings a thoughtful lens to how legacy brands can evolve without losing credibility. He shares how U.S. News balances data-driven optimization with editorial integrity — and why connecting product, marketing, and content strategy is crucial for long-term success.Together, they dive into the future of product-led growth, what it takes to lead cross-functional teams in a complex organization, and how to measure what really matters when building products for millions of users. Amro also reflects on leadership lessons — from building psychologically safe teams to navigating change in organizations that have been around for decades.This episode is a masterclass in modern leadership, where innovation meets trust and experimentation meets purpose.

How does a retail giant like Sam's Club stay ahead of the tech curve? In this podcast hosted by EY Platform Operations Lead Justin Leibow, Sam's Club VP of Product Sharon Plasser will be speaking on the transformative power of AI and building high-performing product teams. Sharon shares her insights on navigating product leadership, driving innovation, and creating a culture of curiosity and trust that empowers teams to solve complex challenges.

This special episode of Product Rebels brings you highlights from a recent webinar hosted by Heather Samarin and Vidya Dinamani, and featuring product veteran Ravi Mehta. With AI hype reaching fever pitch, many product teams are being pushed to “do AI”—without clear strategy or outcomes. In this candid conversation, we break down what's really working in teams today. Learn the Inspire, Validate, Structure, and Ship framework designed to move your team from idea to impact with clarity. If you're a product leader navigating how to integrate AI meaningfully, this episode offers practical steps, real examples, and a refreshing no-fluff approach.

Our latest episode explores the moment AI stops being a tool and starts becoming an organizational model. Agentic systems are already redefining how work, design, and decision‑making happen, forcing leaders to abandon deterministic logic for probabilistic, adaptive systems.“Agentic systems force a mindshift—from scripts and taxonomies to semantics, intent, and action.”

Product manager, entrepreneur, and author Ali Rakhimov joins Laurier Mandin to talk about how better communication can make even the most ambitious products take flight. From building payment kiosks for K–12 schools to leading multimillion-dollar initiatives at Macy's, Ali shares how simplicity, idioms, and “stupid” questions can cut through complexity and bring teams together. This conversation dives into how to keep innovation alive, avoid “boiling the ocean,” and use AI as a force for clarity, not chaos.Episode Highlights:00:02:00 — From the classroom to product leadership: How Ali's early years in K–12 shaped his management style.00:04:40 — Building, failing, and pivoting: The scrappy road trip that led to a startup exit.00:06:30 — The power of idioms: Why metaphors like “Elephant in the Room” and “Boil the Ocean” make teams communicate better.00:09:00 — Asking the “stupid” question: Turning imposter syndrome into clarity.00:12:10 — Focus vs. shiny-penny syndrome: How to simplify and ship without killing ambition.00:16:00 — AI hype and reality: What teams get wrong—and how culture determines success.00:21:00 — Learning curve to lifelong learning: From calculators to ChatGPT, adapting to new tools.00:27:40 — Making pigs fly: How Ali proved the impossible possible in K–12 fintech.Links:Find out more about Ali Rakhimov and buy "When Pigs Fly": Ali.inkSubscribe to Laurier Mandin's daily emails and buy "I Need That": LMandin.comLearn about Graphos Product, read the blog and get all podcasts with transcripts: GraphosProduct.com

What if AI could turn every product manager into a superhuman innovator? In this episode of the CPO Rising Series hosted by NEOGOV CPO Denise Hemke, Kraftful CEO and CPO Yana Welinder will be speaking about how AI is transforming product teams from siloed roles to integrated "product builders". She offers a rare insider's perspective on how emerging technologies will reshape product discovery, prioritization, and development in the next few years, drawing from her experience leading an AI-powered product insights platform.

Today, we're joined by Zac Hays, CPO at Luxury Presence, a fast-growing real estate tech platform that made a huge bet on AI adoption across the company.. In this episode, we discuss: Luxury Presence's 30x Value Principle and how they rethought goals and projects to have exponential-level impact The AI design sprint process that allowed the company to 20x product velocity How their mandatory AI bug triage policy has cut resolution time by 80% Links LinkedIn: https://www.linkedin.com/in/zacthepm/ Zac's AI-Powered Design Print Playbook: https://www.linkedin.com/pulse/ai-powered-design-sprint-playbook-v01-zac-hays-iu1dc/ Luxury Presence: https://www.luxurypresence.com/ AirOps: https://www.airops.com/ Userbrain: https://www.userbrain.com/en/ Chapters 00:00: Intro 03:31: How Luxury Presence started tinkering with AI 08:15: Automating bug fixes (the 80% reduction) 10:50: Zac's "AI Design Sprint" process 14:00: Using AI to tackle tech debt and codebase rewrites 19:04: Building an "autonomous" AI marketing team 22:22: Conclusion Follow LaunchPod on YouTube We have a new YouTube page (https://www.youtube.com/@LaunchPodPodcast)! Watch full episodes of our interviews with PM leaders and subscribe! What does LogRocket do? LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com (https://logrocket.com/signup/?pdr). Special Guest: Zac Hays.

James Gibson is Head of Revolut Business. Under his leadership, Revolut Business now processes over $33 billion in monthly transaction volume and generates more than $1BN in annualised revenue.  AGENDA:  04:10 Is Consulting the Worst Background for Aspiring PMs 07:09 How Revolut Hires for it's Product Team 17:21 How Revolut Sets Goals: What Works, What Does Not 19:37 How Revolut Structures Their Product Teams 22:13 How Revolut Structures Product Review Sessions  27:23 New Bets Process at Revolut 29:11 How Revolut Balances Super Users and General Customers 36:55 How Revolut Drives Product Velocity and Efficiency 39:26 Future of Product with AI 44:56 Quick Fire Questions and Reflections  

Today, we're joined by Michael Krafft, CPO at FoundersCard, a membership community for entrepreneurs and executives offering exclusive perks and VIP treatment. Previously, Michael worked in investment banking, led product teams at American Express, and played a key role in turning around Alight, an HR-tech firm, ahead of its IPO. In this episode, we discuss: How Michael uses AI to be a 1-person Product team at a profitable startup with more than 250K members His AI-driven discovery engine that automates interviews, segments users, and turns feedback into roadmap-shaping insights Why working as both a leader and IC lets him move from idea to prototype to product in record time with tools like V-Zero and Lovable The simple test that boosted paid conversions by 50%—and how he runs growth experiments far beyond his team's size Links LinkedIn: https://www.linkedin.com/in/michael-krafft/ FoundersCard: https://founderscard.com/ Chapters 00:00 Intro 03:04 How AI Drove Down CAC and Fueled Growth 06:06 Using AI to Analyze Customer Interviews 09:10 Turning Feedback Into Roadmap Insights 12:13 AI-Powered Discovery Engine for PMs 15:17 One-Person Product Team With AI Tools 18:20 Scaling Insights Beyond Human Bandwidth 21:23 Automating PRDs With AI 24:25 From Idea to Prototype in an Afternoon 27:28 Running Growth Experiments With AI 30:31 Conversions, Retention, and AI Testing 33:33 Customer Insights That Shape the Roadmap 36:36 Paid Conversion Boosts With AI 39:37 Final Takeaways for Product Leaders Follow LaunchPod on YouTube We have a new YouTube page (https://www.youtube.com/@LaunchPodPodcast)! Watch full episodes of our interviews with PM leaders and subscribe! What does LogRocket do? LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com (https://logrocket.com/signup/?pdr). Special Guest: Michael Krafft.

Beau Martonik visits Hoyt's headquarters with Evan Williams and Jeremy Eldredge. Jeremy reflects on his 21-year journey at Hoyt, highlighting the strong culture and employee loyalty that drive their innovative products. The discussion also covers Hoyt's meticulous manufacturing process, the dry fire test, the trick pin for pin gapping, hunting stories, and much more! Topics: 00:00:00 - Introduction  00:04:50 – Jeremy's First Podcast Appearance 00:08:17 – Employee Tenure and Company Culture 00:11:08 – Evan's Background 00:14:58 – Evan's Start At Hoyt 00:17:46 – Manufacturing Process Insights 00:24:53 – Mechanical Team, R&D Team, and Product Team 00:31:16 – Bow String Quality 00:35:26 – Dry Fire Test Explained 00:40:51 – Bow Mishaps and Field Stories Resources: Hoyt Links: ⁠https://hoyt.com/ Instagram:   ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@eastmeetswesthunt⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@beau.martonik⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Facebook:   ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠East Meets West Outdoors⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Shop Hunting Gear and Apparel: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.eastmeetswesthunt.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ YouTube: Beau Martonik - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/channel/UCQJon93sYfu9HUMKpCMps3w⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Partner Discounts and Affiliate Links: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.eastmeetswesthunt.com/partners⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Amazon Influencer Page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.amazon.com/shop/beau.martonik⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

Modern software teams typically rely on a patchwork of tools to manage planning, development, feature rollout, and post-release analysis. This fragmentation is a known challenge that can create friction and slow down software development iteration. It's especially problematic for cross-functional teams, where differences in roles, expertise, and work culture can further complicate collaboration. There is The post Empowering Cross-Functional Product Teams with Tobias Dunn-Krahn and Doug Peete appeared first on Software Engineering Daily.

If you were the CEO of the company where you work, would you fund the work your team is doing? In the early pages of Matt LeMay's latest book, Impact-first Product Teams, readers confront this existential question. And it hits pretty close to home: am I worthy of my company's investment? As he explains to … The post 169 / Matt LeMay's Keys to Delivering Impact That Propels Your Business Forward appeared first on ITX Corp..

David Cancel is a seasoned entrepreneur, author, and technology leader best known as the founder and Executive Chairman of Drift, the leading platform for conversational marketing and sales.    With a career spanning five successful startups, including Performable, Compete, and Ghostery, David has built a reputation for creating high-growth products and scaling world-class teams.    David shares how his upbringing in an entrepreneurial household influenced his career and how Drift was born out of a desire to modernize outdated sales and marketing tools that no longer fit today's buyer-centric landscape.   He explains that traditional lead capture methods, like forms and email nurture sequences, are obsolete in a world where customers expect real-time, 24/7 access to solutions.    David emphasizes that true innovation isn't just about software — it requires a complete cultural and data model shift, similar to how the social graph disrupted CRMs.    David advocates for embracing mentorship and collective knowledge rather than learning every lesson through struggle, as the most important insights often come from others, and the earlier we internalize them, the better.   Website: Salesloft  LinkedIn: David Cancel  Instagram: dcancel   Previous Episode: iam330-serial-entrepreneur-creates-hypergrowth-products-and-product-teams   Check out our CEO Hack Buzz Newsletter–our premium newsletter with hacks and nuggets to level up your organization. Sign up HERE.  I AM CEO Handbook Volume 3 is HERE and it's FREE. Get your copy here: http://cbnation.co/iamceo3. Get the 100+ things that you can learn from 1600 business podcasts we recorded. Hear Gresh's story, learn the 16 business pillars from the podcast, find out about CBNation Architects and why you might be one and so much more. Did we mention it was FREE? Download it today!

Join us in this episode with Jessica Nelson Kohel, founder and CEO of PMX Group, a niche product consultancy. Jessica discusses the intersections of product coaching, training, and consulting, and provides insights into the benefits of bringing outside perspectives into product teams. From supporting founder-led companies in scaling their product orgs to aiding new VPs of Product, Jessica shares engaging stories and valuable lessons on effective team dynamics, leadership, and immersive discovery processes. Learn about the importance of trust, the nuances of CEO-product leader relationships, and the power of collaborative coaching for product excellence.00:00 Welcome and Introduction00:27 Jessica's Background and PMX Group00:56 Transitioning to Consulting02:01 The Value of an Outside Perspective04:18 Challenges of Being an FTE05:54 The Rise of Super ICs09:08 Coaching and Upskilling Product Teams11:33 Immersive Discovery Approach17:31 Building Trust and Accurate Diagnosis20:23 Engaging with Stakeholders23:31 Supporting New Product Leaders42:49 Peer Coaching and Team Support

What happens when your lead engineer leaves and takes the product knowledge with them? In this episode, Ashok Sivanand tackles some of the most pressing product and engineering questions straight from the community—including how to prevent panic-inducing knowledge loss, when founders should or shouldn't vibe code, and how to choose between building full-service or self-serve platforms. Ashok is joined by producer Doug Branson for a first-ever audience Q&A format that covers real problems from real teams. From unit test-driven documentation to AI-assisted code exploration, this episode gives both quick fixes and long-term strategies for building resilient teams. Plus, learn the Lexus vs Scion framework that product leaders are using to determine their go-to-market path when serving both advanced and beginner users. Unlock the full potential of your product team with Integral's player coaches, experts in lean, human-centered design. Visit integral.io/convergence for a free Product Success Lab workshop to gain clarity and confidence in tackling any product design or engineering challenge. Inside the episode... How to prevent engineering burnout and knowledge bottlenecks The pros and cons of vibe coding for technical founders Using AI tools like Copilot to debug and document Choosing between full-service vs self-serve platform tools Aligning product strategy with internal team maturity Mentioned in this episode GitHub Copilot Cursor Reddit Product Management Community Subscribe to the Convergence podcast wherever you get podcasts including video episodes to get updated on the other crucial conversations that we'll post on YouTube at youtube.com/@convergencefmpodcast Learn something? Give us a 5 star review and like the podcast on YouTube. It's how we grow.   Follow the Pod Linkedin: https://www.linkedin.com/company/convergence-podcast/ X: https://twitter.com/podconvergence Instagram: @podconvergence

Join us this week on the Product Thinking Podcast as we explore the intersection of digital innovation and product management with Jose Quesada, VP of Product Management for Mobile and Web at American Express. With over 15 years of experience, Jose provides valuable insights into transforming digital experiences within the financial industry and the pivotal role of experimentation in fostering innovation.Jose shares his approach to creating a culture of safe experimentation, the seamless integration of digital and physical financial products, and the importance of developing soft skills in product management. He offers a compelling perspective on how digital transformation is reshaping customer interactions and product strategies at American Express.You'll hear us talk about:- 11:25 - Embracing ExperimentationJose discusses the importance of using experimentation as a tool to reduce uncertainty, encouraging his team to innovate and learn from mistakes without fear.- 25:31 - Data-Driven Product StrategyJose emphasizes the significance of a dual-track approach in product development, balancing immediate business outcomes with future-focused discovery.- 33:24 - Building Psychological Safety for InnovationJose shares strategies for fostering a team environment where making mistakes is part of the learning process, thereby driving innovation and growth.Episode resources:Jose on LinkedIn: https://www.linkedin.com/in/josequesadamedina/Careers at AMEX: https://www.americanexpress.com/en-us/careers/Check our new course: https://productinstitute.com/p/mastering-product-strategy-overviewTimestamps:00:00 Coming Up01:23 Intro03:00 Dear Melissa08:38 Entering product14:53 Outcome-Driven Teams25:41 Making Data Work34:28 Embracing Change41:44 Future Of Digital Products

In this episode of The Product Experience, Lily and Randy speak with Faith Forster about the art of aligning product work with commercial outcomes. From redefining velocity as a function of customer value to implementing impact models that quantify ROI, Faith outlines practical frameworks to help product teams think commercially without compromising user value. She also explores the evolving role of AI in product development, the necessity of syncing planning cycles with business units, and why happy teams are the cornerstone of faster, better delivery.Key takeawaysVelocity = Value: Product velocity isn't about coding speed—it's about reducing time to customer value to improve ROI and lower opportunity cost.Impact Modelling: A disciplined approach to estimating commercial outcomes before development helps product teams understand and justify their work.AI Integration: Teams are expected to primarily use AI tools within three months to boost delivery speed and build organisational capability.Viability from Day One: Pricing and revenue potential must be considered from the outset—not after feature completion.Cross-Functional Alignment: Successful planning requires synchronising product cycles with finance, sales, and marketing calendars.Happy Teams, Better Results: Reducing friction between design, engineering, and product roles directly impacts delivery speed and feature quality.Chapters00:00 – Redefining velocity: Why speed isn't just about code01:05 – Faith's journey from Dex to Legal03:02 – Introducing the commercial value talk04:51 – Understanding the P&L from a product lens08:07 – Why team cost-awareness matters10:00 – Building better impact models12:25 – Increasing ROI through value velocity16:37 – The AI imperative: Adoption, anxiety, and accelerationOur HostsLily Smith enjoys working as a consultant product manager with early-stage and growing startups and as a mentor to other product managers. She's currently Chief Product Officer at BBC Maestro, and has spent 13 years in the tech industry working with startups in the SaaS and mobile space. She's worked on a diverse range of products – leading the product teams through discovery, prototyping, testing and delivery. Lily also founded ProductTank Bristol and runs ProductCamp in Bristol and Bath. Randy Silver is a Leadership & Product Coach and Consultant. He gets teams unstuck, helping you to supercharge your results. Randy's held interim CPO and Leadership roles at scale-ups and SMEs, advised start-ups, and been Head of Product at HSBC and Sainsbury's. He participated in Silicon Valley Product Group's Coaching the Coaches forum, and speaks frequently at conferences and events. You can join one of communities he runs for CPOs (CPO Circles), Product Managers (Product In the {A}ether) and Product Coaches. He's the author of What Do We Do Now? A Product Manager's Guide to Strategy in the Time of COVID-19. A recovering music journalist and editor, Randy also launched Amazon's music stores in the US & UK.

Some of the biggest product breakthroughs didn't come from startups — they came from intrapreneurs. In this episode, we speak with Scott Jones, a career intrapreneur who has launched new lines of business at Lenovo, Hewlett Packard Enterprise, and Realeyes, a computer vision AI company serving some of the world's most influential platforms. Scott shares a detailed, experience-backed look at what it takes to make innovation work inside companies that weren't built for speed. He breaks down the mindset, team dynamics, and cultural rituals that allow new bets to thrive — and provides practical guidance for founders, executives, and investors looking to bring this approach into their own organizations. Unlock the full potential of your product team with Integral's player coaches, experts in lean, human-centered design. Visit integral.io/convergence for a free Product Success Lab workshop to gain clarity and confidence in tackling any product design or engineering challenge. Inside the episode... How Scott went from analyst and musician to AI product leader A modern definition of intrapreneurship — and why it matters now Key personality traits and behavioral markers of strong intrapreneurs Why ambiguity is a feature, not a bug, in high-growth environments How leaders can foster a culture of experimentation (rituals, roles, and goals) Strategies for validating new product ideas quickly and credibly How to communicate innovation progress to stakeholders with different styles Realeyes' identity verification tech and the future of online trust How personal trauma and spiritual practices influence Scott's leadership approach Mentioned in this episode Realeyes - Where Scott works as VP, Product Pranayama (breathwork practices) -  Intro guide from the Art of Living Foundation: Effortless Mastery by Kenny Werner - Official site with book info and resources: Linchpin by Seth Godin - Publisher page for the book: SHINE by EOS - Book info (note: EOS books are often sold through their coaching platform): Paramahamsa Yogananda - His foundational book Autobiography of a Yogi on the Self-Realization Fellowship site: Scott's linkedIn - https://www.linkedin.com/in/scottjeezey Scott's instagram - https://www.instagram.com/scottjeezey/ Subscribe to the Convergence podcast wherever you get podcasts — including video episodes on YouTube at youtube.com/@convergencefmpodcast Learn something? Give us a 5-star review and like the podcast on YouTube. It's how we grow.  

In this episode, I sit down with Christina Wodtke, a professor at Stanford University, for the second time on the show, to explore the intersection of game design and product management. Christina shares her insights on how principles from game design can transform product development processes, making them more engaging and effective. We also dive into the role of AI in shaping the future of product management education and the unique challenges and opportunities it presents.Christina discusses her approach to integrating AI into her curriculum and how it's helping future product leaders understand the real-world implications of evolving technologies. Together, we uncover the importance of balancing user experience with business objectives and how the two can coexist to create products that are not only functional but also meaningful.Don't miss this insightful conversation that bridges the gap between creativity and strategy in product management!You'll hear us talk about:05:33 - The Power of Engagement in Game DesignChristina explains how game design principles such as engagement and emotional experience can be applied to product design to fulfill user needs and expectations.12:25 - Continuous Feedback IntegrationThe importance of regular and early user feedback in the design process and how it prevents teams from becoming too attached to their initial ideas.41:08 - The Reality of AI in Product ManagementDiscussing the gap between AI's potential and its current capabilities, and how product managers can effectively leverage AI while focusing on core product values.Episode resources:Christina on LinkedIn: https://www.linkedin.com/in/christinawodtke/Christina's blog: https://eleganthack.com/Check our new course: https://productinstitute.com/p/mastering-product-strategy-overviewTimestamps:00:00 Introduction03:16 Dear Melissa06:35 Game design and emotional engagement13:36 Balancing goals and ethics in product design18:14 Building habits of testing and scaffolding feedback22:30 How AI is changing prototyping and team dynamics28:53 The role of expertise in an AI-powered world40:15 Getting into product management in the age of AI

How can product leaders transform a single-product company into a multi-product powerhouse? In this podcast hosted by Barbara Bermes, EcoVadis former CPO Madhur Aggarwal will be speaking on scaling product teams and driving strategic growth. Madhur shares insights from his experience tripling EcoVadis' revenue and expanding their product suite, offering valuable lessons for product leaders looking to drive meaningful business outcomes.

Are you aiming to drive meaningful product outcomes in a fast-paced tech environment? In this podcast hosted by Jonathan Ozeran, DoorDash former Senior Product Director David Jesse will be speaking on building high-impact product teams through disciplined leadership and customer focus. Drawing from his extensive experience scaling product teams at companies like eBay, Groupon, and DoorDash, David shares actionable insights on how product leaders can prioritize effectively, maintain team momentum, and deliver transformative results.

Jessica Zwaan joined us again on The Modern People Leader to unpack how to structure a people ops as a product team. She shared four ways to build an HR squad, how to use a spider diagram for squad design, and why it's smart to pilot just one squad first.---- Sponsor Links:

In this episode of the Ducks Unlimited podcast, host Matt Harrison sits down with longtime friend Jim Ronquest to share their favorite hunting stories. They reflect on the busy months following duck season and discuss the upcoming turkey season. As they reminisce about past adventures, listeners can expect a blend of entertaining anecdotes and insights into the world of hunting. Tune in for a lively conversation filled with camaraderie and anticipation for the spring season ahead!Listen now: www.ducks.org/DUPodcastSend feedback: DUPodcast@ducks.org