LaunchPod | Product Management Podcast

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.

Today, we’re joined by Trevin Chow, Chief Product Officer at Big Cartel, an ecommerce platform for independent creators to turn their art into income. Previously, Trevin held product leadership roles at Nike, Microsoft, Axon, and more. In this episode, Trevin shares: How they thread the needle between brand history and innovation — respecting a 20+ year legacy while still driving towards the future His process for creating “simple magic” by making features so simple, they delight users — even if that trades less customization for better ease of use How AI is transforming product and design workflows by drastically cutting down the time between idea and innovation And what product leaders can learn from rethinking simple as a benefit rather than a constraint Links LinkedIn:https://www.linkedin.com/in/trevin/ Navan: https://www.bigcartel.com/ Resources Lovable: https://lovable.dev/ Unblocked: https://getunblocked.com/ Chapters 00:00: Intro 03:22: The product journey that led Trevin to Big Cartel 05:55: Big Cartel's 20+ year legacy and how they look at innovation 12:28: Why simplicity can trump complexity in software 13:26: Products and features that delight ft. an example from Alaska Airlines 18:03: Why Big Cartel launched a "pause subscription" button, and the value it drove 21:09: What makes features appear "magical" in today's product landscape 23:06: The overlap between product management and product design 23:40: Trevin's guide to hiring for curiosity and grit 33:17: 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: Trevin Chow.

Today, we’re talking with Curtis Stevens, who, until recently, was Tinder’s Director of Product Consumer Insights, and prior to that held product leadership roles at Qualtrics, Amazon, and more. In this episode, Curtis shares: How AI can actually be a tool for human connection His process behind Tinder’s transformation into customer-centricity, with real, measurable results How to balance short-term user joy with long-term product innovation and future features And how AI is driving customer experience changes faster than research can follow, and what you can do to keep up Links LinkedIn: https://www.linkedin.com/in/curtis-b-stevens/ Chapters 00:00: Intro 03:03: Curtis Stevens' product journey 7:40: Challenges and strategies in customer experience 14:54: Curtis' journey workshops 20:41: AI's role in customer research 27:41: 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: Curtis Stevens.

On today’s episode, we’re talking with Rajitha Chaparala, VP of Product at Procore, a construction management solution and one of the most successful examples of vertical SaaS out there today. In this episode, we discuss: How Rajitha and her team are using LLMs to streamline complex processes like requests for information (RFIs), project revisions, and construction site walkthroughs Why building trust and showing real, immediate value were key to getting AI buy-in from construction professionals, historically hesitant to adopt new tech Why Rajitha believes this is construction’s moment for AI, and how the shift from skepticism to curiosity happened almost overnight Links LinkedIn: https://www.linkedin.com/in/rajithachaparala/ Procore: www.procore.com Chapters 00:00 Introduction 00:48: The complexity of construction and technology adoption 02:00: AI streamlining Requests for Information (RFIs) in construction 04:00: Why LLMs are ideal for construction's unstructured data 06:00: Building trust for AI adoption 08:00: The future of construction thanks to AI adoption 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: Rajitha Chaparala.

Today, we’re joined again by Nan Yu, Head of Product at Linear. In this episode, Nan shares: Why you’re wrong to think of AI as a way to reduce costs -- and why the real value is in enabling new work that was previously impossible The 3 must-haves he’s deduced from across the most successful AI products to produce consistently great outcomes for users The behind-the-scenes details of Linear’s new Agent Interaction Guidelines Links Nan's LinkedIn: https://www.linkedin.com/in/thenanyu/ Nan's X: https://x.com/thenanyu?lang=en Linear: https://linear.app/ Linear's previous episode of LaunchPod: https://youtu.be/7ISWLoQtNOc?si=dNKmSdQ98eqis_JW Resources Linear's Agent Interaction Guidelines: https://linear.app/developers/aig Granola.ai: https://www.granola.ai/ Cursor: https://cursor.com/ Chapters 00:00: Intro 03:24: Using AI as a harness, the systems and context layers that make AI tools repeatable and useful at scale 07:54: Scaling AI tools to ensure consistency and quality 14:14: Analyzing user interaction, tweak time, and feedback 18:29: Linear's new Agent Interaction Guidelines 22:14: How AI is changing the role of engineers 27:42: AI's impact on junior roles 30:10: 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: Nan Yu.

Today, we’re joined by Shakir Karim (Senior VP of Product) and Karthik Chakkarapani (CIO & Senior VP of Corporate Operations) from Zuora. In this episode, Shakir and Karthik discuss: Why they believe AI is a bigger inflection point than web, mobile, or cloud Their internal AI agent workflow that automatically resolves thousands of service requests instantly, freeing teams to focus on strategy How they cut a major feature deployment step from 14 days to 10 minutes using Claude Code Why prompt-a-thons and hackathons have been vital for driving not just AI adoption but AI literacy Links Shakir's LinkedIn: https://www.linkedin.com/in/shakir-karim/ Karthik's LinkedIn: https://www.linkedin.com/in/chakraj/ Zuora: https://www.zuora.com/ Resources Trupeer: https://www.trupeer.ai/ Gemini Storybook: https://gemini.google/overview/storybook/ NotebookLM: https://notebooklm.google/ Chapters 00:00: Intro 02:15: Zuora's 10x initiative 07:00: Zuora's internal AI agent 10:00: Accelerating content creation using Trupeer 12:00: Cutting video content creation down from 4 weeks to 5 hours 17:00: AI in practical workflow 22:00: Scaling AI innovation and literacy internally 28:32: AI prompathons and hackathons 29:54: 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 Guests: Karthik Chakkarapani and Shakir Karim.

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.

Today, we’re joined by Phil Lakin, Head of Enterprise Innovation at Zapier. In this episode, we discuss: How Phil built No-Code Ops into a thriving community and SaaS product - and what led to its acquisition by Zapier Why Phil ended up leading the initiative on Zapier’s first solution-based product, and the decision process behind making it Lead Router How Zapier is driving AI transformation across both their org and others with hands-on bootcamps, agent workflows, and a 97% AI literacy rate among employees Links LinkedIn: https://www.linkedin.com/in/philip-lakin/ Zapier: https://zapier.com/ NoCodeOps: https://www.nocodeops.com/ Chapters 00:00: Intro 01:30: How Phil built the No-Code Ops community and why Zapier acquired it 05:45: Building Lead Router and how it shaped Zapier's roadmap 10:20: Building with Zapier Primitives 15:10: How Zapier achieved 97% AI literacy 20:25: AI agents and workflow automation 26:40: Tactics for bringing employees on board with new AI tools 32:55: What other companies can learn from Zapier’s AI transformation 39:15: Where Phil sees AI, no-code, and automation heading next. 44:00: 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: Phil Lakin.

How is Optimizely reshaping experimentation with AI? Cory Liebgott, VP of Product at Optimizely, joins LaunchPod to share how her team is using AI into both customer-facing solutions and their own product workflows. Cory shares how her team: Uses Copilot and Claude for everything from PRD writing and meeting recaps to translating technical language into accessible insights Developed OptiGPT, an internal AI assistant that surfaces customer data, product knowledge, and HR policies in seconds Built a customer-facing AI query tool that also became a surprise hit internally for measuring customer health and engagement Encourages a culture of experimentation where PMs demo and share AI tools, turning emergent use cases into productivity boosts across teams Links LinkedIn: https://www.linkedin.com/in/cliebgott/ Optimizely: https://www.optimizely.com/ Chapters 00:38 Exploring AI tools as a team 01:43 Real-world AI productivity wins 03:16 Inside OptiGPT: Optimizely’s AI assistant 04:08 Using AI for research and prototyping 05:10 When AI surprises: Emergent capabilities 06:22 Lessons learned: Sharing and experimenting 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: Cory Liebgott.

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.

Unlock the future of product management with AI. In this episode of LaunchPod, we dive into the top 4 AI workflows every product manager needs, from automating user research to building smarter prototypes and running faster experiments. Hear real stories from product leaders who are already using AI to: *Turn hours of customer interviews into actionable insights *Prototype and test new features in record time *Automate PRDs and documentation without losing quality *Drive data-backed decisions that accelerate growth Chapters 00:00 Why AI is changing product management 00:30 Avoiding missteps with AI-powered customer insights 02:00 Prototyping and testing faster with AI tools 04:00 Automating PRDs and product documentation 06:30 Using AI for smarter data analysis and decision making 09:00 Balancing AI with product intuition and strategy 11:00 The future of AI in product workflows 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 Guests: Derek Pharr, Neha Monga, Roman Gun, and Sierra Hahn-Ventrell.

How is Optimizely reshaping experimentation with AI? Cory Liebgott, VP of Product at Optimizely, joins LaunchPod to share how her team is building agentic AI tools that put customer trust at the center. Cory shares how her team: Pivoted away from risky benchmarking AI to focus on agentic AI tailored to each customer’s brand and data Launched Opal, Optimizely’s AI suite built on Google Gemini, with strict governance to keep customer data secure Developed experimentation agents that suggest test ideas, run experiments, and summarize results Built internal AI tools like OptiGPT to streamline workflows, from PRDs to customer research, boosting productivity across teams Links LinkedIn: https://www.linkedin.com/in/cliebgott/ Optimizely: https://www.optimizely.com/ Chapters 00:00 Introduction 01:52 Implementing Agentic AI at Optimizely 04:58 The Importance of Customer Feedback 06:27 Using AI Tools Internally at Optimizely 15:30 DocuSign and the Squeaky Wheel Problem 30:36 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: Cory Liebgott.

How is AI changing the game for sports betting? Marty Styles, VP of Product at Pro Football Focus (PFF), visits LaunchPod to share how his team is bringing pro-grade football analytics, trusted by every NFL team, to everyday bettors. Marty shares how his team: Built Key Insights, an AI-powered feature that simplifies 200+ data points per play into actionable betting takeaways Designed the Player Prop Tool, which combines PFF’s grades with market odds to reveal hidden betting edges Used Play Finder and AI-driven film study to transform raw data into instant, searchable insights Positioned PFF as the “Bloomberg Terminal of sports betting”, giving bettors the same edge NFL teams rely on Links LinkedIn: https://www.linkedin.com/in/marty-styles/ PFF: https://www.pff.com/ Chapters 00:00 Introduction 01:46 The Value of PFF's Data 02:14 Transitioning from B2B to B2C 03:17 Understanding the Sports Betting Market 04:38 The Role of AI in PFF's Products 09:00 Simplifying Complex Data for Consumers 10:32 Key Insights and AI Integration 14:20 Ensuring Accuracy and Trust in AI Outputs 17:20 Introducing the Player Prop Tool 19:36 Targeting Intermediate Bettors 22:12 Product Marketing Strategy 25:53 AI and Data Analysis in Betting 29:32 Future of AI in Sports Analytics 33:23 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: Marty Styles.

How do you decide what to build when growth is flattening and you're facing intense competition from free products? When Aleks Bass joined Typeform as Chief Product Officer, she was faced with this exact challenge. In this repeat episode, we cover: * The "Feature Constellation" Concept: How combining features can unlock exponential customer value and willingness to pay. * Prioritization at Scale: How Typeform used a MaxDiff survey to rank 86 features and find a 75% overlap in what all their user segments wanted. * Research-Driven Strategy: The step-by-step process for turning deep customer insights into a clear, actionable product roadmap that aligns the entire company. * Identifying Your True ICP: How the research revealed three distinct customer groups and helped Typeform prioritize marketers, who had bigger budgets and a higher willingness to pay for less mature features. * Balancing Data and Intuition: Why deep domain expertise is a product manager's superpower and how to use research to bolster, not replace, your gut instinct. Find part two of this episode here: https://youtu.be/iNHArB4q2TU Links LinkedIn: https://www.linkedin.com/in/aleksbass/ Typeform: https://www.typeform.com/ Resources How To Say "Not Yet" To Enterprise | Deepti Mendiratta, VP Of Products (HungerRush) | LaunchPod: https://youtu.be/WHapWGbuS0Q Chapters 00:00 How Combining Features Creates 10x Value 02:26 The Challenge: Flattening Growth & Hyper-Competition at Typeform 04:45 The Danger of "Incrementalization" in a Horizontal Product 07:50 Reigniting Growth with a Customer-Centric Strategy 11:50 The Research Plan: How to Figure Out What to Build, Fast 15:15 The Methodology: Using a MaxDiff Survey to Prioritize 86 Features 19:00 Surprising Discovery: 75% of Features Were Wanted by Everyone 24:30 Why Feature Maturity Matters for Different Personas 33:35 Unlocking Exponential Value with "Feature Constellations" 34:30 Case Study: Why "Video Answers" + "AI Analysis" is a 10x Combination 38:30 How to Use Research to Drive Company-Wide Alignment 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: Aleks Bass.

On today’s episode of LaunchPod AI, we’re talking with Joel Polanco, Senior Hardware Product Manager at Intel’s Edge Computing Group. He’s led dozens of enterprise AI edge deployments and knows exactly what it takes to run AI models locally at scale. In this episode, we discuss: Why AI at the edge will cause a whole new wave of disruption across multiple industries Why moving AI to the edge slashes costs and levels up customer experience And real-world examples of edge AI deployments Joel has seen - from IT assistants to agents that restock store shelves from a single photo Links LinkedIn: https://www.linkedin.com/in/jpolanco/ Intel: https://www.intel.com/content/www/us/en/homepage.html Joel's PM articles on the LogRocket blog: https://blog.logrocket.com/author/joelpolanco/ Chapters 00:00 Introduction 03:32 Retail Applications of Edge AI 04:57 Cost and Implementation Considerations 06:18 Real-World Use Cases and Challenges 12:00 Future of AI and Edge Computing 30:42 Practical Advice for Product Executives 33:46 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: Joel Polanco.

How did an AI agent help 4x the productivity of collections teams? Dave Ruda, VP of Product at Billtrust, visits LaunchPod to share how his team built a collections AI that transformed drudgery work into high-impact outcomes. Dave shares how his team: * Reduced average email handling time from 8 minutes to just 2.5 minutes * Built an AI agent that categorizes and prioritizes collector workflows to maximize efficiency * Designed a “human in the loop” system to ensure trust, personalization, and better customer outcomes * Developed a learning loop that adapts to each collector’s voice and scales across email and voice channels Links LinkedIn: https://www.linkedin.com/in/druda/ Billtrust: https://www.billtrust.com/ Chapters 00:00 Introduction 03:18 Billtrust's AI Journey 05:10 "Human in the Loop" 06:22 Billtrust's FinTech Solutions 09:54 Challenges in Collections 13:04 Agentic Email Functionality and Automating Email Processing 17:19 Building a Learning Loop To Better Understand Customers 19:05 Empowering Product Managers With AI 24:33 AI Governance and Future Prospects 27:39 Concluding Thoughts and Future Plans 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: Dave Ruda.

Why is AI adoption so hard inside companies? Derek Pharr, CPO at Sporcle, joins LaunchPod to reveal the 3 biggest barriers to AI adoption and how he helped his team overcome them. In this episode, you’ll learn how Sporcle: The 3 biggest barriers to AI adoption and how Derek addressed them How Sporcle built a “content intern” with Claude Projects to augment trivia writers and improve user engagement How Derek prototyped, tested, and rejected a doomed product idea in under an hour Links LinkedIn: https://www.linkedin.com/in/derekpharr/ Sporcle: https://www.sporcle.com/ Resources How Lattice’s PM team built an AI Slack “Intern” | Neha Monga, CPO (Ex-Lattice) | LaunchPod: https://stories.logrocket.com/p/how-lattices-pm-team-built-an-ai Chapters 00:00 Intro 03:17 The 3 Biggest Barriers to AI Adoption 06:35 Building a “Content Intern” with Claude Projects 15:08 Scaling Trivia Creation Without Losing Quality 25:34 Prototyping and Killing a Doomed Idea in Under an Hour 34:15 Lessons for Product Leaders on AI Adoption 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: Derek Pharr.

Today, we’re talking with Zach Heller, VP of Product at Penn Foster Group. In this episode, we discuss: How Penn Foster plans to literally “fill a stadium” with 150,000 graduates by 2029—doubling completion rates to do it Why they shifted focus from acquisition to graduation—and how that’s now driving over 50% of enrollments through word-of-mouth How AI-powered learning tools boosted course completions by 25% in just one year, setting a new record for outcomes Links LinkedIn: https://www.linkedin.com/in/ztheller/ Resources The Hidden Cost of 0.1% Churn | Ken Houseman, VP of Product (Zuora): https://youtu.be/-wDVkPUK104 Chapters 00:00 Doubling Completion Rates & Graduation Goals 02:04 Filling a Stadium: The 150K Graduate Vision 04:09 Fixing the Funnel: Retention Over Acquisition 06:14 Experimentation That Doubled Completion 08:17 B2B vs B2C: Why Completion Rates Drive Revenue 10:19 Word of Mouth as a Growth Engine 12:21 Fail Fast, Learn Faster: Experimentation Mindset 14:24 AI-Powered Learning: Writing Coach Breakthrough 18:00 Human + AI: Scaling Student Support 20:34 Product-Led Growth in EdTech 24:37 Economic Mobility Through Education 26:41 Looking Ahead: Scaling to 150K by 2029 36:56 Final Takeaways: Experimentation at Scale 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: Zach Heller.

Today on LaunchPod, we’re talking with Bret Tushaus, VP of Product at Deltek. In this episode, we discuss: How Deltek built Dela—an AI agent framework powering everything from smart summaries to autonomous accounting Why AI is rewriting the role of Product Management, and what leaders need to know now And how Bret’s team leveled up their AI skills fast — with short, high-impact sprints focused on real tools and real problems Links LinkedIn: https://www.linkedin.com/in/bret-tushaus-b959b56/ Deltek: https://www.deltek.com/en Chapters 00:00 Introduction to AI in Product Management 01:06 Building AI-Powered Solutions at Deltek 03:05 Smart Summaries and Predictive Analytics 08:24 Intelligent Exploration and Conversational Interfaces 17:39 The Future of AI Agents 22:14 Getting Started with AI in Your Team 26:52 Final Thoughts 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: Bret Tushaus.

Today, we’re talking with Prittam Bagani, VP of Product Management at Chargebee, where they have insight into how over 10,000 customers are optimizing their pricing models. In this episode, we discuss: How AI is forcing companies to rethink pricing - and why usage-, outcome-, and agent-based models are the future Why OpenAI made over 100 pricing changes in a single year and what you can learn about agile pricing experimentation from it And how to build the necessary technical and product infrastructure to test pricing models in real-time across millions of users Links LinkedIn: https://www.linkedin.com/in/pbagani/ Chargebee: https://www.chargebee.com/ Chapters 00:00 Introduction 02:25 Pricing Models in the AI Age 06:28 Challenges and Best Practices in Outcome-Based Pricing 18:37 Technical Complexities and Real-Time Pricing Adjustments 22:01 The Power of Timely Upgrades 23:07 Hybrid Pricing Models: The Future 24:57 Complexities in Sales-Led Growth 28:10 Unit Economics and Usage-Based Pricing 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: Prittam Bagani.