In the past, product management often relied on intuition and traditional market research to guide decision-making. This approach, while foundational, frequently lacked the precision and agility needed in today’s fast-paced market environments. As products and consumer behaviors become increasingly complex, the necessity for a more nuanced approach has emerged.

Data-driven product management represents a significant evolution in how product strategies are formulated and executed. Unlike traditional methods, this modern approach integrates rigorous data analysis into every stage of product development. By leveraging real-time data and advanced analytics, product managers can make informed decisions, anticipate market trends, and drive innovations with greater accuracy.

This course is designed to equip you with the essential skills and knowledge needed to transition from traditional product management practices to a data-centric methodology. You'll begin by exploring the fundamentals of modern product management, including lean product methodologies and the development of mission, vision, and value propositions aligned with business strategies.

Building on this, the course covers data analysis and metrics definition, providing you with tools to segment users, analyze market sizes, and prioritize product features using frameworks like the RICE Scoring Model. You will also master data-driven experimentation and storytelling, learning to structure experiments, conduct A/B tests, and communicate insights through compelling data visualizations.