Scrum.org Community Podcast

Scrum.org

Welcome to the Scrum.org Community podcast, a podcast from the Home of Scrum. In this podcast we feature Professional Scrum Trainers and other Scrum Practitioners sharing their stories and experiences to help learn from the experience of others. 

  1. AI in Scrum: Value, Validation, and the Human Factor (Q&A -Part 1)

    JAN 15

    AI in Scrum: Value, Validation, and the Human Factor (Q&A -Part 1)

    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 Learnings Why 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 opportunitiesLinks Webinar - Managing Your AI Teammate: Turning AI from Experiment to Strategic Partner Whitepaper - The AI Teammate Framework: A Four-Step Framework for Product Teams

    20 min
  2. The Anatomy of a Product

    12/11/2025

    The Anatomy of a Product

    In this episode of the Scrum.org Community Podcast, host Dave West sits down with authors Sander Dur and Ryan Brook to explore their new book, The Anatomy of a Product—a practical field guide that uses the human body as a metaphor to demystify modern product management. Dave, Sander, and Ryan dive into why so many organizations still struggle to define and manage products effectively, and how this book helps bridge the gap between theory and real-world practice. They discuss treating products as living systems, the dangers of “marshmallow backlogs,” the need for evidence-driven decisions, and why continuous care and adaptation are essential for healthy products. The authors share insights from working with organizations like Miro, unpack common “product diseases,” and offer actionable guidance for Product Owners, product teams, and leaders seeking clarity in today’s complex environment. Listeners are invited to connect with the authors and join them at their book launch event in Amsterdam on January 13! Key Points Why the Book? Clarifies what a product is and offers a practical guide from definition to retirement. Human Body Metaphor Products are like living systems—interconnected, adaptive, and influenced by their environment. Theory vs. Practice Helps teams apply product concepts realistically, beyond Silicon Valley-style theory. Insights from real examples Real-world examples showing how to balance strategy, business thinking, and everyday product work. Backlog Health Avoid “marshmallow backlogs” by filtering work through strategic goals and focusing on value. Validation & Evidence Emphasizes validating ideas early and aligning efforts to outcomes, not just requirements. Product Health Introduces “product diseases” and how to diagnose and prevent common issues. Links: Book Launch event The Anatomy of a Product

    30 min
  3. AI as Your Teammate: The Four-Step Framework for Product Teams

    11/13/2025

    AI as Your Teammate: The Four-Step Framework for Product Teams

    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 Framework Why a framework?The need for a structured, holistic approach to AI in teamsAI as a Team Member Treating AI like a teammate rather than a toolThe importance of onboarding and providing contextComparing AI onboarding to human onboardingThe Four Steps of the Framework Identify 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 AI Context management and maintaining prompt librariesBalancing AI experimentation with structureCost, scalability, and efficiency concernsLessons from the Early Days of Cloud Computing Parallels between the AI adoption curve and cloud evolutionThe shift from unregulated enthusiasm to disciplined governanceFuture of AI in Product Teams The importance of a disciplined, thoughtful approachHow structured AI collaboration can enhance — not replace — human workActionable Next Steps for Teams Read the white paperAssess current onboarding and management practicesApply the four-step framework to integrate AI effectively

    24 min

Ratings & Reviews

4.8
out of 5
13 Ratings

About

Welcome to the Scrum.org Community podcast, a podcast from the Home of Scrum. In this podcast we feature Professional Scrum Trainers and other Scrum Practitioners sharing their stories and experiences to help learn from the experience of others. 

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