AI for Product Management

Upon completing this workshop, participants will be able to:

• Explain the key principles of Agile and distinguish between project and product approaches.
• Describe the roles and responsibilities of a Product Owner and how they collaborate with Product Management and Agile Teams.
• Recognize different types of value and their importance in value-driven decision making.
• Discuss the mindsets, communication patterns, and psychological safety practices that foster effective product teams.
• Analyze customer and stakeholder needs using Design Thinking, Empathy Mapping, Personas, and Customer Journey Mapping.
• Identify and engage key stakeholders through Stakeholder Mapping and Communication Planning.
• Formulate and articulate a compelling Product Vision aligned with business goals.
• Define measurable outcomes using Objectives and Key Results (OKRs) and value-based metrics.
• Break down features into user stories and apply the INVEST criteria for story quality.
• Use techniques such as Story Mapping and Progressive Elaboration to connect user needs with backlog items.
• Apply multiple prioritization frameworks (MoSCoW, WSJF, Kano, RICE, etc.) to balance value, effort, and risk.
• Develop roadmaps and release plans that reflect customer value and organizational strategy.
• Measure and communicate product outcomes using leading and lagging indicators, and balance outputs vs. outcomes.
• Capture and interpret customer feedback to guide continuous improvement.
• Apply the Lean Startup “Build-Measure-Learn” loop to iterate and validate product hypotheses.
• Reflect on personal growth as a Product Owner and identify areas for further development using the What? So What? Now What? model.
• Utilize AI tools to analyze customer feedback, interviews, and support data to identify real problems and opportunities.
• Employ AI-assisted techniques to generate and refine product ideas and design discovery artifacts such as journey maps and prototypes.
• Interpret AI-generated insights to spot trends, shape product strategies, and propose data-driven initiatives.
• Apply AI-supported prioritization and planning frameworks to generate smarter roadmaps and outcome-oriented release plans.