Understand why users embrace or abandon AI wellness tools—and gain the skills to analyze any AI-based well-being product. You'll learn to apply the key psychological factors that drive adoption—trust, privacy, perceived empathy, effort expectancy, and social influence—to evaluate real products and identify where they succeed or fall short. Master the five-stage consumer decision journey and see exactly where users progress or drop off with AI mood trackers, stress-relief chatbots, and wellness apps. Most importantly, you'll apply structured observation techniques to record and categorize real user behavior, separating what you see from what you interpret. Through realistic role plays and coach dialogues, you'll practice applying adoption factors to diagnose products and facilitating decision journey discussions. Designed for product managers, UX researchers, marketers, and anyone working in the AI wellness space. No technical background required—just curiosity about why people interact with AI the way they do.

Learn and apply the psychological factors driving AI wellness tool adoption, master the consumer decision journey, and use both to evaluate real product scenarios. You'll move beyond understanding concepts to using adoption factors as diagnostic tools that explain—and help fix—why users embrace or abandon AI-based well-being products.

Transform your conceptual knowledge into practical observation skills. Learn to apply structured checklists for recording user behavior, distinguish observation from interpretation, and synthesize your findings into actionable insights for product and UX decisions.