LaunchPod | Product Management Podcast

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  What Do You Do When AI Agents Replace Your Human Users? | Brandon Harris, VP of Product (Pantheon) 15.09.2026 32хв

  Every day, more of your traffic isn't human. AI agents show up, grab what they need, and leave — and YOU pay to serve every visitor, whether they see your brand or not. Today’s guest has seen this from both sides. Brandon Harris is VP of Product at Pantheon, the WebOps platform behind a huge slice of the WordPress and Drupal world. But before that, he was sending the bots — at Wiser, where his team scraped millions of pages a day to power retail pricing intelligence. His take: agents aren't killing the web. They're just the next way information travels — and the companies that adapt are about to pull way ahead of the ones that don't. In this episode, Brandon shares: How AI is turning the whole web into one giant CMS — and quietly rewriting the job of anyone who publishes content Plus, why visits are the new impressions, why trying to keep agents out is the modern-day version of blocking Google from indexing your site — and what to do instead Links LinkedIn: https://www.linkedin.com/in/cxoplus/ Pantheon: https://pantheon.io/ Chapters 00:00 Introduction 01:02 Brandon's product journey: From film school to Wiser and Pantheon 02:24 The dead web debate: Agents are just the next mode of transport 05:51 Why traffic-based pricing can break when the majority of your visitors are agents 08:15 Site visits are becoming the new impressions 10:46 Grading traffic and the identity arms race it will start 14:11 When the whole web becomes your CMS 16:40 Putting your brand's fingerprints in content that AI will pull without accessing your site 21:23 How people decide to trust a site 26:17 Watching sessions to catch user drift before customers quietly leave 31:09 Conclusion Follow LaunchPod on YouTube We have a new YouTube page! 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.Special Guest: Brandon Harris.
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  Product Sense: What It Is and Why AI Makes It Vital | Kevin Sung, VP of Product (Life360) 08.09.2026 33хв

  “Product sense” is the thing that nobody can define, but everyone says will keep product managers employed in the age of AI. Our guest today has a definition, with receipts. But he takes it somewhere that’s less comfortable than you might assume: if all you do is move numbers, you’re obsoleting yourself because AI will eventually do it better than you can. Kevin Sung is VP of Product at Life360, the family safety app with roughly 100 million monthly active users. Before that, he spent years at Dropbox, Smule, Zynga, and Google, a path that took him from a growth-hacking playbook to a very different conclusion about where product management’s value actually lives. In this episode, Kevin discusses: What the PM job becomes once engineering isn’t a bottleneck, and why the line between lazy product management and good product craft is the strength of your opinion How he got Dropbox leadership to fund a year of unglamorous quality work that no financial model could justify, and how it produced $24 million in ARR from churn reduction And what this all means now at Life360 — where the question in a product review isn’t “how’s this move the number”, it’s “does this create a moment of worry for a parent?” Links LinkedIn: https://www.linkedin.com/in/kevinsung/ Life360: https://www.life360.com/ Chapters 00:00 Introduction 04:06 Defining "product sense" 07:45 How the PM role is evolving 10:20 Kevin's growth lessons from Smule 14:22 The $24M retention bet 18:29 Resentment builds until users snap 22:38 Selling a bet you can't model 24:36 Enshittification and paper cuts 27:51 Life360, where trust is the product 32:23 Conclusion Follow LaunchPod on YouTube We have a new YouTube page! 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.Special Guest: Kevin Sung.
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  When to Add Product Friction & How to Reduce 12 PM AI setups to One Team OS | Kunal Thadani (Houzz) 01.09.2026 27хв

  At dating app The League, Kunal Thadani's team found that when daily matches took longer to load, people stopped skimming profiles and started actually reading. The wait wasn't a cost — it was the product saying these matches are worth your time. Now he's Senior Director of Product at Houzz, a platform for homeowners to plan renovations, and his take is that the goal was never no friction. It's to create the right kind of friction. In this episode, Kunal drops his: His three-part framework for productive friction, and The two ways friction turns toxic, including the one that punishes your most loyal customers Plus, everyone is building AI workflows for themselves right now. Almost nobody is building them for a team, and Kunal has the clearest answer I've heard in a long time for what that looks like. Links LinkedIn: https://www.linkedin.com/in/kunal-thadani-72a13722/ Insider Growth Group: https://www.insidergrowthhq.com/ Houzz: https://www.houzz.com/ 0:00 Introduction 0:28 From The League to Houzz: Finding the DIY Decorating Gap 2:03 Not All Friction Is Bad 4:39 Trust Signals, Progress Arcs, Commitment Moments 6:41 The Signup Test That 10X'd Email Conversions 10:25 Two Ways Friction Fails: Fake Protection and Endless Re-Verification 15:16 Why Personal AI Setups Break Down at Team Scale 16:47 Inside the Team OS: One Repo and a Shared Product Context Layer 20:38 Claude Code in the Terminal: Mining Gong Calls and Killing Handoff Tax 24:41 Feedback Loops: Why a Team OS Improves Faster Than a Personal One 25:58 Conclusion Follow LaunchPod on YouTube We have a new YouTube page! 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.Special Guest: Kunal Thadani.
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  Just Say No to "Yes-Man Agents" & "Process Barnacles": How Miro Builds Post-AI | Jeff Chow, CPTO 25.08.2026 30хв

  On a Friday, one of Miro's architects set his agents loose on the company's AI engine. Nobody asked him to. By Monday, he demoed a full refactor. Tuesday, it had a kickoff, and a few months later it was the headline of their user conference. Here's the twist. Miro has refused to rebuild its process around AI. They've kept the same three milestones they've always had...they just changed what happens around them. Our guest today is Jeff Chow, Miro’s Chief Product & Technology Officer. He helps lead a company whose entire job is helping cross-functional teams work better together, which makes it an unusually good place to watch what AI is actually doing to how teams build. Jeff's take: AI hasn't moved the milestones — It's rewritten everything that happens between them. In this episode, he shares: The false confidence trap of building alongside an agent that tells you every idea is brilliant, and why that makes the moments where humans actually align more important than ever Why product "process barnacles" accrete on companies as they scale, and how that quietly turns a culture of invention to optimization at just the wrong time And why saying no is the next organizational crisis. Now that anyone can build almost anything, it’s become clear that coding was never the hard part Links Jeff's LinkedIn: https://www.linkedin.com/in/jjchow/ Miro: https://miro.com/ Chapters 0:00 Introduction 2:20 Why Miro refused to rebuild its process around AI 5:20 What shows up at kickoffs and solutions reviews now 12:15 The false confidence trap: Say no to "yes-man" agents 14:30 From optimization culture to invention culture 18:20 How one IC's side project reshaped Miro's AI engine 22:30 Process barnacles and why saying no is the next crisis 27:30 Conclusion Follow LaunchPod on YouTube We have a new YouTube page! 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.Special Guest: Jeff Chow.
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  This Product Leader Built Her Own PM OS with Claude Code: LIVE Demo | Parul Goel (ex-Indeed/PayPal) 18.08.2026 22хв

  We’ve got something different today: a live demo and walkthrough of how an actual product leader built a real, PM-focused tool with AI. Our guest today put her proverbial money where her mouth is when she got sick of the AI hype and anxiety and grew tired of writing the same status update five different ways for five different audiences. So she decided to build her way out of the never-ending loop of draft, then repackage again and again and again. And today, she’s going to demo it for us and show how she and a team of collaborators built an entire AI PM operating system to help with the myriad of similar, repetitive tasks that product leaders face! Parul Goel has spent nearly 20 years in product, including almost nine at PayPal building a zero-to-one payments platform for marketplaces, and her recent stint as Senior Director of Product at Indeed.com, leading the payments and billing platform through a major scaling challenge. In this episode, Parul shows: A live demo of the PM operating system she built with 3 fellow product leaders and the four-layered architecture behind it Why the "context library" and codifying company identity, stakeholders, and voice is the layer most people skip, BUT the one that matters most And how the system handles core PM workflows like exec updates, cross-functional communication, customer interview synthesis, and PRD drafts Links Parul's LinkedIn: https://www.linkedin.com/in/pg2121/ PM OS GitHub project: https://github.com/goelparul-cyber/AI-PM-OS Parul's collaborators: Vidya Sarangapan: https://www.linkedin.com/in/vsara/ Priyank C.: https://www.linkedin.com/in/priyankachaturvedimit/ Bhagyashree Prabhakar: https://www.linkedin.com/in/bhagya-prabhakar/ Chapters 00:00 Introcution 02:58 The inspiration behind Parul's PM OS tool 07:26 Live Demo: Exec update (Video version on YouTube!) 12:54 Other PM OS skills 13:55 Why building the context library is the most important part of the process 20:48 The future of PM with AI 21:57 Conclusion Follow LaunchPod on YouTube We have a new YouTube page! 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.Special Guest: Parul Goel.
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  Speedrunning $0 to $180M: The Intrapreneur's Playbook | Gaurav Jaiswal, VP Product (ex-Pearson, SAP) 11.08.2026 24хв

  Everyone loves to romanticize the founder who starts from zero. But most successful product and digital leaders will likely find themselves using a slightly different flavor of that skill: intrapreneurship — building something new inside an established company...whether it be a business unit, go-to-market approach, product, or other. Gaurav Jaiswal has done exactly this several times. At SAP, he co-founded SAP Digital, a B2B2C business built to let anyone in the world discover, try, and buy SAP products — taking it from zero to $180 million in just a couple of years. Most recently, as VP of Digital Product at Pearson, he did it again, launching a subscription e-textbook product from idea to market in six months, and scaling to $65 million in just about 2 years. In this episode, Gaurav shares: How he got SAP's board to approve an entirely new business unit in just six months, and the framework he used to get market traction just as quickly How he took those lessons to Pearson, a 150-year-old publishing company, and helped turn it into one that runs like a software business And why building inside a public company is a trade — you get the brand and customer base built in, but you’re on the hook for the full legacy culture and scrutiny that comes from operating in a larger, established company Links LinkedIn: https://www.linkedin.com/in/gauravjaiswal/ Chapters 00:00 Introduction 02:30 Gaurav's digital product origin story 05:43 Scaling to 180M ARR 06:52 Gaurav's four P's framework 14:54 Launching Pearson+ and scaling 19:46 The importance of intraprenuership 23:31 Conclusion Follow LaunchPod on YouTube We have a new YouTube page! 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.Special Guest: Gaurav Jaiswal.
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  How DoorDash Turned Food Delivery into a Local Commerce Platform | Vassili Samolis, VP of Product 04.08.2026 19хв

  To most people, DoorDash is an easy fix when you just need food. Our guest today would argue that's the least interesting thing they do. Vassili Samolis has been VP of Product at DoorDash for 5 years and counting, leveraging lessons from Instagram & Pinterest to help turn a simple food delivery app into a high-trust local commerce platform for the more than one million merchants who use it to help drive their businesses. In this episode, Vassili shares: How DoorDash built a successful local commerce platform based on extreme alignment - they only get paid when a business gets a customer and a consumer finds the food that they want Why he thinks there's never been a better time to be a PM - not in spite of code getting cheaper but because of it And how a crowded field of a million restaurants, bodegas, and local shops taught him that the best products often start with a single, very specific customer story Links LinkedIn: https://www.linkedin.com/in/vassilisamolis/ DoorDash: https://www.doordash.com/ Chapters 00:00: Introducing Vassili and DoorDash's mission to empower local businesses 02:29 Why local restaurants struggle to survive and grow 04:27: TL;DR into Vassili's product background: From Instagram and Pinterest to DoorDash 05:39: Turning a delivery app into a full local commerce platform 07:23: Product lessons and first principles thinking 12:00: The most unexpected customer insight Vassili and his team discovered 14:10: AI and the future of product teams 17:52: What AI deployment looks like on Vassili's team 18:50: Conclusion Follow LaunchPod on YouTube We have a new YouTube page! 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.Special Guest: Vassili Samolis.
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  Beyond AI Theater: How a Real AI Product Team Looks Now | Eric Anderson, SVP Product (Datasite) 02.07.2026 33хв

  We’ve all been witness to how AI collapses the org chart: leaders are back to doing IC work, ICs are shedding the busy work, and teams are shipping features in two-week sprints that used to take a year. Our guest today is Eric Anderson, SVP of Product at Datasite, the virtual data room platform where billion-dollar M&A deals get done. He walks us through how a real-life, AI-first team has made progress in adoption and the difficulties along the way. In this episode, Eric shares: How the contract has changed as the PM role has evolved. It’s not a layoff story - but product has collapsed back to subject-matter expertise, judgment, and taste Inside their “iteration zero” process: where PRDs are written live in the meeting, prototypes are wired to real data, and what the new bottleneck is now that building is fast Plus how you build trust in your AI product when a billion dollars is on the line: citations for everything, correlation, not imperative statements, and why nobody lets the computer decide Links LinkedIn: https://www.linkedin.com/in/eric-anderson-pr0ductexec/ Datasite: https://www.datasite.com/ Chapters 00:00 Introduction 03:04 AI is flattening the org chart (and why that's a good thing) 07:32 "The contract has changed": PRDs written live, ideas to code in minutes 14:42 Rise of the hyper creator: Blurring roles on the product team 17:53 Shipping fast isn't enough: Why taste and focus are the new bottleneck 21:35 Inside the virtual data room (VDR) 26:52 How Datasite builds trust in AI insights 31:59 Wrapping up Follow LaunchPod on YouTube We have a new YouTube page! 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.Special Guest: Eric Anderson.
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  Feedback Is Just the Start: How Acting on It Increased Zipcar’s NPS by Over 50% | Nishaat Vasi, CPO 23.06.2026 32хв

  We’ve all been witness to how AI collapses the org chart: leaders are back to doing IC work, ICs are shedding the busy work, and teams are shipping features in two-week sprints that used to take a year. Our guest today is Eric Anderson, SVP of Product at Datasite, the virtual data room platform where billion-dollar M&A deals get done. He walks us through how a real-life, AI-first team has made progress in adoption and the difficulties along the way. In this episode, Eric shares: How the "The contract has changed" as the PM role has evolved. It’s not a layoff story - but product has collapsed back to subject-matter expertise, judgment, and taste Inside their “iteration zero” process: where PRDs are written live in the meeting, prototypes are wired to real data, and what the new bottleneck is now that building is fast Plus how you build trust in your AI product when a billion dollars is on the line: citations for everything, correlation, not imperative statements, and why nobody lets the computer decide Links LinkedIn: https://www.linkedin.com/in/nishaat-vasi/ Zipcar: https://www.zipcar.com/ Resources The Right Kind of Wrong by Amy Edmondson: https://www.simonandschuster.com/books/Right-Kind-of-Wrong/Amy-C-Edmondson/9781982195069 Chapters 00:00 Intro 03:37 Zipcar and the customer experience wake-up call 05:27 Ditching the email survey for real-time feedback 09:55 Turning NPS into OKRs 13:13 The top 3 priorities: Cleanliness, damage, and maintenance 16:51 The zero-cost pilot that now saves millions of dollars 25:42 The issue with "AI theater" 27:43 How genAI spotted a hidden fuel card problem 32:13 Conclusion Follow LaunchPod on YouTube We have a new YouTube page! 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.Special Guest: Nishaat Vasi.
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  From Hostile to Rewired: How Descript's CEO Drives AI Adoption | Laura Burkhauser 16.06.2026 28хв

  Our guest today is Laura Burkhauser, CEO of Descript, the video editor that’s been AI-native long before “AI-native” was something you put in a pitch deck. Laura's route to the CEO seat started as a customer. She loved the product enough to knock on founder Andrew Mason's door and ask to work on it. She joined to lead product, but only three years later she's succeeded the well-known founder and is running the company. Today, Laura is here to talk about both sides of that journey: finding peers and mentors when you're suddenly the most senior person in any room, and driving AI adoption across an org already known for AI in its product. In this episode, Laura shares: Her "tech acceptance framework" — the 4 stages from outright hostility to "rewired" — and how to figure out where YOUR team actually sits Why telling IC PMs that AI means 2x productivity just sounds like they’re doing twice the work — and her “find the dream” reframe that actually gets real buy-in How Laura built Descript's AI philosophy around one principle: "Struggle with your art, not with your tools" and why she doesn't want anyone one-shotting their videos Plus the trap most companies are falling into right now: AI systems that walk out the door when the person who built them leaves, and how to make progress durable across your org Links LinkedIn: https://www.linkedin.com/in/burkhauser/ Descript: https://www.descript.com/ Resources What Got You Here Won't Get You There: https://www.barnesandnoble.com/w/what-got-you-here-wont-get-you-there-marshall-goldsmith/1112274786 Chapters 00:00 Intro 01:07: Laura's career journey: From fashion startups to finding her path to product 03:26: The "what got you here won't get you there" moment 4:05: Finding peers and mentors when you're the most senior person in the room 12:06: "Struggle with your art, not with your tools" — Descript's AI philosophy 15:04: AI as a derivative technology and the democratization of creativity 17:59: The tech acceptance framework: From hostile to rewired 18:50: Running AI hackathons and reimagining company systems 22:40: Pitfalls of AI adoption: Cost, durability, and automating broken systems 24:42: The two-by-two framework for getting your team AI-pilled 27:49: Conclusion Follow LaunchPod on YouTube We have a YouTube page! 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.Special Guest: Laura Burkhauser.
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  How AI Helped Me Ship 9 Months of Product in 5 Days | Sriram Iyer, SVP of Product (ex-Salesforce) 12.05.2026 25хв

  A program manager told Sriram Iyer it would take 6 to 9 months to ship the first slice of their new product. Sriram challenged the team to do it in just five days. At first, they laughed. Then he rolled his sleeves up, dug in with the team, and they did it. 5 days, from Monday to Friday. Sriram has spent his career walking into companies like Salesforce, Adobe, and Freshworks, and pulling timelines apart. He calls himself the simplifier in chief, and the secret isn't the AI tooling. It's everything underneath the AI tooling that most leaders won't actually do. That's what make teams trust, and follow, him. In this episode, Sriram breaks down exactly how that five-day sprint worked, including: The "thinnest slice of pizza" principle that kills scope creep before it starts Why AI made it possible — but isn't really the point How to find the team members in any org who are actually ready to just make stuff happen — and why mindset matters more than tooling And why none of this works without trust, prioritization, taste, and an executive willing to get in the weeds and take personal responsibility for the outcome Links LinkedIn: https://www.linkedin.com/in/sriramviyer/ Follow LaunchPod on YouTube We have a new YouTube page! 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.Special Guest: Sriram Iyer.
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  AI Agents Fail for 2 Reasons. Crowdsourcing Solved Both. | Julia Dalton, SVP Product (Capacity) 05.05.2026 27хв

  Long before “AI Agent” was the buzzword in every product discussion, Julia Dalton was already deep into solving the problems of coordinating thousands of worker agents, creating clear instruction prompts, and evaluating output quality. Julia is SVP of Product at the AI-support automation platform, Capacity. Previously, she helped scale workflow orchestration at OneSpace, formerly known as Crowdsource, where thousands of freelancers executed microtasks for major retailers. As it turns out, managing humans at scale and managing AI agents have a lot more in common than most people realize. In this episode, Julia shares: The two failure modes that kill every AI agent before the model ever runs Why running a crowdsourced work platform gave her incredible insights into building effective agentic AI products How Julia and her team built an AI system to triage and prioritize product feedback, automating low-complexity builds and helping make better decisions on high-stakes tradeoffs Links LinkedIn: https://www.linkedin.com/in/juliadalton/ Capacity: https://capacity.com/ Chapters 00:00 Intro 00:52 Julia's startup roots at OneSpace 02:00 Transitioning from the human API to AI agents 02:47 Microtasking workflow chains 06:54 Routing rules and AI orchestration 11:55 Validating prompts with simulations 15:08 Recursive prompting in practice 17:46 Data and knowledge orchestration 20:57 PRP triage app for product requests 26:56 Conclusion Follow LaunchPod on YouTube We have a new YouTube page! 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.
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  April Dunford’s 1 Killer Question to Expose Weak AI Product Positioning [Repeat] 28.04.2026 36хв

  In this week's repeat episode, we’re joined by the undisputed queen of B2B positioning: April Dunford. April is the best-selling author of the seminal book "Obviously Awesome" and the new hit "Sales Pitch." She has spent 25 years as a startup executive and consultant, helping companies stop guessing and start winning. If you have ever struggled to explain exactly why customers should pick you over the other guy, this episode is a masterclass. In this episode, April talks about: Why Positioning is a Product Problem: How undefined positioning leads to wasted roadmaps, "not good enough" feedback from Sales, and engineering teams burning out on features that don't win deals. The "AI Washing" Trap: Why saying "We have AI" is no longer a strategy—and how to articulate the specific value your tech unlocks that the competition can’t. Why she loves when competitors lie: How to ethically trap competitors who over-promise features (and the one question sales should tell your prospects to ask them). And finally, Vision vs. Reality: How to sell the "glorious future" without losing the deal you need to close today. Links LinkedIn: https://www.linkedin.com/in/aprildunford/ April's website: https://www.aprildunford.com/ April's books: https://www.aprildunford.com/books Resources (Ethically) cheat your way to $250M+ | Mikal Lewis, Product Exec. (Whole Foods, Nordstrom): https://youtu.be/5txeT2U_YQo Chapters 00:00: Introduction 01:45: April's journey from engineering to marketing to product positioning expert 05:00: The shifting lansscape: Position from COVID to the AI era 10:45: Moving beyond "AI washing" to find differentiated value 15:30: Defining your true competitive landscape 20:30: How to be worth your customers' migration risk 23:45: Why April likes when competitors "lie" about their capabilities and features 32:00: Why positioning is critical for product and engineering alignment 35:00: April's new book details Follow LaunchPod on YouTube We have a new YouTube page! 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.Special Guest: April Dunford.
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  AI Isn't Breaking PM Teams. Overload is. Explained by Stanford PhD & CPO Jen Wang (Framework) 15.04.2026 29хв

  Our guest today, Jen Wang, holds a PhD from Stanford in behavior sciences, judgment, and decision-making. She built her product career at ThredUp, and now serves as Chief Product Officer and go-to-market lead at Framework. That combination — behavioral scientist plus operating CPO — gives her a rare lens into the most urgent question in product leadership right now: how do you lead and build when the ground is shifting faster than anyone can follow? In this episode, we talk about: The decision-making behind why Framework scrapped their roadmap Why iteration, not technical proficiency, has been the most important skill to drive AI adoption in teams There’s actually a scientific reason why everyone’s so overwhelmed, and it’s called the “Zone of Absorption” Links Jen's LinkedIn: https://www.linkedin.com/in/wangjennifer/ Framework: https://frame.work/ Resources ThredUp: https://www.thredup.com/ Anthropic: https://www.anthropic.com/ Leadership Without Easy Answers by Ronald A. Heifetz: https://www.hup.harvard.edu/books/9780674518582 The engineer's ring: https://www.nspe.org/career-growth/pe-magazine/july-2009/called-order Chapters 00:00 Introduction 03:50: Why everyone thinks they’re behind on AI 06:29: “The zone of absorption”: The science behind AI overwhelm 10:10: Why Framework scrapped their 2026 roadmap in February 12:31: Choosing your AI toolset: When to experiment vs. When to commit 14:25: Rethinking engineering resourcing to make room for “process debt” 15:43: The A/B testing parallel: Is AI history repeating itself? 18:27: AI prototyping: Productive or underbaked ideas? 25:08: The learning possibilities that AI opens up 26:56: Should product leaders take a Hippocratic oath? 28:21: Conclusion Follow LaunchPod on YouTube We have a new YouTube page! 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.Special Guest: Jen Wang.
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  The Analytics Gap Most eCom Teams Don’t Know They Have | Raul Parquet, Dir. eCom (Princess Cruises) 07.04.2026 31хв

  Raul Parquet is the Director of Ecommerce at Princess Cruises, where he’s helping to lead them into a more digital future where visa requirements, multi-destination itineraries, and endless customization options are something customers can actually complete online. In this episode, Raul shares: The unglamorous but vital elements of a complete eCommerce analytics stack, and the table-stakes things teams often skip Why an Analytics team embedded inside product is a requirement, and the deployment discipline that brings with it And how Princess Cruises is using AI behind the scenes to help their team work smarter — and why, when it comes to customers, simplicity will always matter more than technology Links LinkedIn: https://www.linkedin.com/in/raul-parquet/ Princess Cruises: https://www.princess.com/ Chapters 00:00 Introduction 02:00 Why cruises are one of the hardest ecommerce problems to solve 6:00 Embedding analytics teams into product 8:00 The analytics stack: What "table stakes" actually looks like 13:30 How AI is already helping analytics teams work smarter 15:00 The gaps most teams don't know they have 19:00 Simplifying complex bookings: The Tesla analogy 21:00 100% of Princess Cruisers have been on the website 25:00 Where AI actually fits in the customer journey 29:00 Outro Follow LaunchPod on YouTube We have a new YouTube page! 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.Special Guest: Raul Parquet.
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  How to Avoid AI FOMO like Patagonia | Angela Clark, VP Digital 24.03.2026 30хв

  I keep meeting teams across the country that are facing intense pressure to shoehorn AI into every feature, often without a coherent thesis on the problem it’ll solve. But what if the smartest move in the AI gold rush is to actually slow down? Angela Clark, VP of Digital at Patagonia, is doing exactly that. At a brand known for its fierce commitment to the planet, Angela is applying that same intentionality to their digital experience. Instead of blowing budgets on every new AI tool, she’s taking a thoughtful approach to building a personalized customer journey across an audience that spans both elite pro athletes and weekend warriors. In this episode, Angela shares: How her team is designing a customer journey that caters to the buyer on a 1:1 level, including Product Detail Pages that can speak effortlessly to either extreme of their customer base Her playbook for managing AI-related “shiny object syndrome" and keeping your roadmap focused on the customer. And why Patagonia flipped the definition of “customer lifetime value” to align with their conservation-driven mission — even happily downselling you to a refurbished item instead of a newer, more expensive version. Links Angela's LinkedIn: https://www.linkedin.com/in/angclrk/ Patagonia: https://www.patagonia.com/home/ Chapters 00:00 Introduction 01:43 Angela's career journey 03:30: The PDP problem: Serving elite athletes & urban buyers on the same page 07:00: Building personalization through behavioral signals 09:30: Personalization: it's not a tech problem, it's a customer journey problem 00:15:30 How Angela built the foundation of digital at Patagonia 20:30: How to navigate slow-moving organizations 23:00: Redefining customer lifetime value around Patagonia's mission 26:30: AI FOMO — and why you're not actually falling behind 31:30: Conclusion Follow LaunchPod on YouTube We have a new YouTube page! 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.Special Guest: Angela Clark.
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  The Anti-Headcount Billion-Dollar eCom Playbook | David Cost, CDO (Rainbow Shops) 17.03.2026 26хв

  How many engineers does it take to run the ecommerce site for a retail company that does over a billion dollars in revenue per year? Well, if you’re Rainbow Shops, the answer is just 2. Most ecommerce teams assume scale requires more engineers, more tools, more complexity. Chief Digital Officer David Cost has built something many people in ecommerce would say isn't possible — a lean, fast-moving digital operation that runs on vendor partnerships instead of a massive internal team. Two engineers, hundreds of programmers' worth of output, and none of the overhead that comes with scaling the traditional way. In this episode, David shares: A detailed, under-the-hood look at the specific vendors they use to stay so lean His playbook for using strategic partnerships with vendors as an external dev team How being a testbed for new tech gives them a competitive edge And why their choice of ecommerce platform was vital in enabling Rainbow’s digital strategy Links David's LinkedIn: https://www.linkedin.com/in/davidcost/ David's website: https://www.davidcost.com/ Rainbow Shops: https://www.linkedin.com/company/rainbow-apparel-co/ Chapters 00:00 Introduction 00:42 David’s product journey 02:36 How Rainbow runs with only two engineers 03:07 Rainbow's decision to migrate from  Salesforce Commerce Cloud to Shopify 07:14 How Rainbow uses AI to support a lean team 11:34 Rainbow's partnership with Lica for AI-generated product images 17:25 The future of personalization in ecommerce 23:01 Shop Pay and Rainbow's checkout features 26:15 Conclusion Resoures Lica: https://lica.world/ Fuego: https://fuego.io/ Follow LaunchPod on YouTube We have a new YouTube page! 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.Special Guest: David Cost.
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  The World’s Safest Driver Isn’t Human. Can Waymo Stop Traffic Deaths? | Chinmay Jain, Dir. Product 10.03.2026 24хв

  40,000 people a year die from traffic accidents in the US. Our guest today is Chinmay Jain, Director of Product Management on Waymo's Driving Behavior team, who is working to make that number 90% smaller. In this episode, Chinmay shares: How he thought through leaving YouTube at its peak to join a moonshot company that could have civilization-level impact Waymo’s actual AI eval process, using massive simulations based on millions of real-world driving miles to maximize edge cases, ultimately turning trust into their real product And the misleading, but common, metrics Chinmay and his team learned to spot that could have seriously derailed Waymo’s progress Links Chinmay's LinkedIn: https://www.linkedin.com/in/chinmayjain/ Waymo: https://waymo.com/ Chapters 00:00 Introduction 01:40 Chinmay’s decision to leave YouTube for Waymo 04:12 How does Waymo test its AI in the physical world? 06:09 Waymo’s layered evaluation system 09:53 Simulations and ML gains at Waymo 16:48 Waymo’s metrics for safety 21:33 What driving choices make training AI drivers the hardest? 24:00 Conclusion Follow LaunchPod on YouTube We have a new YouTube page! 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.Special Guest: Chinmay Jain.
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  The Cortisol UI: How We Fix FinServ’s Empathy Problem | Melissa Douros, CPO (Green Dot) 03.03.2026 32хв

  Most financial products are optimized for transactions, not human emotion. For many people, this transforms an already fraught topic into pure anxiety. Our guest today is building banking for what she calls the Cortisol UI. Melissa Douros has spent over 26 years in financial services, starting in debt collection and now serving as the Chief Product Officer at Green Dot. Early on, she learned firsthand that shame is a terrible retention mechanism. That lesson now shapes how she builds financial products for millions of users — for whom the time spent simply navigating their finances can be the most stressful of the day. In this episode, Melissa shares: How finserv companies can design for the “Cortisol UI“ by building trust and experiences that reduce anxiety before the transaction An experiment she ran for Discover’s 5% cashback program where test users collapsed under decision paralysis — proving that more choice can actually increase financial stress How she flipped Great Wolf Lodge’s booking model from 70% call center to 90% digital while enhancing the human experience And how Green Dot is navigating AI and agentic commerce without breaking the one thing banks can’t afford to lose: trust Links Melissa's: https://www.linkedin.com/in/melissadouros/ Green Dot Corporation: https://www.greendot.com/ Resources LaunchPod - Nan Yu: https://www.youtube.com/watch?v=27rGB-6XQJg LaunchPod - Ben McAllister: https://www.youtube.com/watch?v=P-6Cs3RJeZw Chapters 00:00 Introduction 01:00 Melissa's finserv background and how she landed in product 05:10 How Green Dot builds trust as a financial services product 07:29 Building for the "Cortisol UI" to lessen user stress, especially in finance 9:55 Quietly fixing customer issues while not inundanting them with feature releases 14:35 Green Dot moving compliance from the backend to a key part of the product team 16:20 Launching AI features in a high-risk industry 18:36 Decision paralysis and Discover's failed attempt at a 5% cashback reward program 24:57 How Melissa digitized Great Wolf Lodge's customer experience 30:51 Conclusion Follow LaunchPod on YouTube We have a new YouTube page! 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.Special Guest: Melissa Douros.
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  The $500M Lesson from Amazon’s Homepage Redesign | Rahul Chaudhari (ex-Amazon, Kohl’s) 24.02.2026 33хв

  How do you redesign the most visited e-commerce webpage in the world? Rahul Chaudhari helped reshape the Amazon homepage during his years as a product leader there, before becoming VP of Product and Technology at Kohl's. In this episode, Rahul shares: Amazon’s “customer backwards” approach - and how he used it to unlock half a billion dollars of value on the Amazon homepage The secret to product adoption: leverage existing customer habits to unlock new opportunities And how Amazon and Google raised the bar for digital experiences so high that now every other product pays the price Links Rahul's LinkedIn: https://www.linkedin.com/in/rahul-chaudhari/ Chapters 00:00 Intro: Rahul's journey from marketing to product 03:08 Why “mid” digital experiences no longer work 07:35 Rebuilding the Amazon homepage “hero” to be customer-backwards 12:48 Experimentation + adoption metrics: measuring what actually matters 14:20 Adoption > clicks: Defining the right success metrics 18:41 AI and the future of retail: Rethink the business model, not the tools 21:50 Agentic shopping: What happens when ChatGPT becomes the homepage? 23:30 From keyword search to intent-based shopping 25:57 AI needs containers, not just models 30:29 Will AI level the playing field for small retailers? 33:16 Conclusion Follow LaunchPod on YouTube We have a new YouTube page! 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.Special Guest: Rahul Chaudhari.