Generative AI for Product Managers: How to Design, Evaluate, and Ship High-Trust AI Features

Upon completing this masterclass, you will be equipped to:

• Define Strategic Fit: Accurately identify where GenAI truly fits in your product lifecycle, aligning AI features with maximum user value and business constraints. (Main keyword usage in the body).
• Frame High-Value Use Cases: Employ user journey mapping and deep understanding of business constraints to systematically frame and prioritize high-impact GenAI use cases.
• Establish Data Readiness: Master the concepts of data and metadata readiness, understanding the crucial foundation required before any GenAI feature development begins.
• Select the Right Architecture: Confidently choose the optimal architectural pattern for your feature: understand the trade-offs between RAG (Retrieval-Augmented Generation), Autonomous Agents, and Simple Assistants.
• Evaluate and Govern Trust: Define actionable guardrails, quality metrics, and safety protocols for your GenAI features, establishing trust with users and reducing risk—a core responsibility for PMs.
• Ship End-to-End Features: Navigate the entire GenAI product development workflow, from prototyping and testing to defining successful launch plans, managing deployment risks, and applying real-world case studies.