What problem does it solve? Teams often produce journey maps that are decorative wall art: averaged actors, funnel-named phases, invented emotion curves, and no actionable outcomes. This Skill turns synthesized research into NN/g-standard journey maps and empathy maps where every cell traces to a tagged evidence source and every map ends in an opportunities row with owners and metrics. ## Core Features & Use Cases - UX Mapping Cheat Sheet: A decision tree that routes you to the right artifact — empathy map, journey map, experience map, service blueprint, or user story map — before you start drawing. - NN/g 5-Component Journey Maps: Actor, scenario plus expectations, 3-7 actor-named phases, evidence-fed Actions/Mindsets/Emotions lanes with an annotated emotion line, and a mandatory opportunities row. - Says/Thinks/Does/Feels Empathy Maps: Quadrant rules enforcing verbatim quotes, tagged inferences, and explicit Says-vs-Does contradiction findings. - Use Case: After synthesizing interviews for a booking product, ask where first-time users stall; the Skill produces a current-state journey map with source tags like [P3 interview] in every cell, flags unvalidated cells as [⚠ assume], and converts research gaps into a follow-up study plan. ## Quick Start Ask the AI to build a current-state journey map for one persona using your synthesized research themes, with evidence tags in every cell and an opportunities row.
