Product Ideation and Experiment Planning with Generative AI

Validating a new product idea can be slow and expensive, often leading to wasted development effort on features customers do not want. Using generative AI strategically allows you to quickly structure your assumptions, design low-cost tests, and build robust experiment plans before writing a single line of code. By reading this course, you will learn how to leverage generative AI tools to accelerate your product discovery phase, transforming raw, unformed ideas into structured hypotheses and actionable validation strategies. You will learn to: Understand the foundational concepts of product validation, hypothesis formulation, and generative AI in product management; Apply structured prompt engineering techniques to brainstorm, refine, and stress-test product concepts; Draft clear, testable product hypotheses and define measurable key performance indicators; Design robust experiment plans, including landing page tests, Wizard of Oz models, and customer interview guides; Analyze AI-generated outputs critically to identify biases and ensure market-aligned decisions. The course begins with the core terminology of product discovery and prompt engineering, building a solid foundation before guiding you through the practical steps of structured experimentation. You will progress from raw ideation to a fully developed validation plan ready for execution. This text-based course is designed for aspiring product managers, entrepreneurs, and innovators who want to leverage AI to validate ideas faster, with no prior experience or prerequisites required. Start reading today to transform your product ideas into structured, data-driven experiments.