AI as Your Teammate: The Four-Step Framework for Product Teams скачать в хорошем качестве

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 (https://www.scrum.org/resources/ai-te...) , 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. (https://www.scrum.org/resources/manag...) Topics covered: Introduction to the AI Teammate Framework • Why a framework? • The need for a structured, holistic approach to AI in teams AI as a Team Member • Treating AI like a teammate rather than a tool • The importance of onboarding and providing context • Comparing AI onboarding to human onboarding The Four Steps of the Framework 1. Identify AI’s Role – defining the problem and writing an AI “job description” 2. Onboard with Context Management – giving AI access to product, customer, and process context 3. Interact Using User Stories – structuring collaboration through clear, outcome-based interactions 4. Governance and Performance Management – ensuring accountability, compliance, and efficiency Challenges of Working with AI • Context management and maintaining prompt libraries • Balancing AI experimentation with structure • Cost, scalability, and efficiency concerns Lessons from the Early Days of Cloud Computing • Parallels between the AI adoption curve and cloud evolution • The shift from unregulated enthusiasm to disciplined governance Future of AI in Product Teams • The importance of a disciplined, thoughtful approach • How structured AI collaboration can enhance — not replace — human work Actionable Next Steps for Teams • Read the white paper • Assess current onboarding and management practices • Apply the four-step framework to integrate AI effectively