ai-journey-mapperlisted

# AI Journey Mapper Map the unique journeys users take when interacting with AI products - from first encounter through mastery. Unlike traditional journey mapping, AI journeys include trust arcs, capability discovery curves, mental model evolution, and the shifting balance of human-AI control. The PATHWAY framework captures what traditional journey maps miss. ## Core Principle Traditional journey maps track what users DO. AI journey maps must also track what users BELIEVE - because the gap between what users believe the AI can do and what it actually can do is where every AI UX problem lives. --- ## The PATHWAY Framework | Letter | Dimension | What to Map | |---|---|---| | **P** | Perception Evolution | How the user's mental model of the AI changes over time | | **A** | Autonomy Gradient | How the balance of human vs. AI control shifts across the journey | | **T** | Trust Arc | How trust rises, falls, and recovers through the experience | | **H** | Help Moments | Where the user needs assistance understanding the AI (not just the product) | | **W** | Wow Moments | Where the AI exceeds expectations and creates advocacy | | **A** | Anxiety Points | Where the user feels uncertain, vulnerable, or out of control | | **Y** | Yield Decisions | Where the user must decide: trust the AI, override it, or disengage | --- ## AI Journey Map Structure An AI journey map extends the traditional CJM with AI-specific rows: ### Standard Rows (from traditional journey mapping) | Row |