Product Management: Designing and Running Experiments

Making product decisions based on intuition alone can lead to costly mistakes and wasted development time. By learning how to design and run structured product experiments, you can validate your ideas with real user data before committing engineering resources. This text-based course guides you through the entire experimentation lifecycle, from formulating testable hypotheses to analyzing results. You will develop a solid understanding of how to run statistically sound A/B tests, use modern feature flagging techniques, and leverage user feedback to optimize digital products. What you'll learn: 1. Understand the core terminology and foundational concepts of product experimentation. 2. Formulate clear, testable hypotheses based on user behavior and product goals. 3. Design robust A/B and multivariate tests while avoiding common statistical pitfalls. 4. Implement modern feature flagging and progressive delivery strategies to mitigate risk. 5. Analyze experiment metrics to make confident, data-driven product decisions. 6. Apply ethical experimentation practices that respect user privacy and data security. The course begins with foundational concepts and experimental terminology before guiding you step-by-step through hypothesis design, test execution, and modern measurement frameworks. You will read real-world scenarios and complete written exercises to reinforce your understanding of product optimization. This course is designed for aspiring product managers, product designers, and creators who are new to experimentation and want to build a data-driven mindset. No prior statistical or programming experience is required. Start reading today to transform your product development process with structured experimentation.