Product AX Strategy: Designing AI-Driven User Experiences

As artificial intelligence transforms digital products, product managers and designers must adapt from traditional UX to AI Experience (AX) design. Building successful AI products requires a deep understanding of how users interact with intelligent systems, going far beyond standard interface patterns. This text-based course guides you through the core principles of AX strategy, service planning, and specialized UX research for AI. You will learn to bridge the gap between technical AI capabilities and real user needs, preparing you to lead AI product initiatives with confidence. What you'll learn: - Understand the foundational concepts of AI Experience (AX) and how it differs from traditional user experience design. - Conduct specialized UX research to uncover user trust, expectations, and mental models regarding AI systems. - Plan and scope AI-driven services by defining clear user problems and matching them with appropriate AI capabilities. - Apply modern AX design patterns, including prompt interfaces, feedback loops, and error-handling for non-deterministic outputs. - Evaluate ethical considerations, data privacy basics, and transparency in user-facing AI applications. - Practice drafting comprehensive service blueprints and AX strategy documents through structured written exercises. The journey begins with essential AX terminology and foundational user psychology before moving into practical service planning frameworks and UX research methodologies. You will progress from theory to strategic application, learning how to design interfaces that build user trust. This course is designed for aspiring product managers, UX researchers, product designers, and business planners who are new to AI product development. No coding or technical AI background is required. Start reading today to master the strategic side of AI product design.