AI-Assisted UX · Define & Insight Phase (Prompts and Workflows for Extracting Insights with AI, User Research Visualization, Chart Selection, Eye-Tracking Interpretation, and Solution Scoring)
Will's engineering handbook for the Define & Insight phase of the "AI-Assisted UX Workflow": turning a pile of interviews/data into "design-guiding insights" and communicating them clearly. It covers 6 tasks that can be outsourced to AI — ① Batch extracting insights from user research interview transcripts (framework of pain points + mental models + edge cases + success criteria, with quantifiable citations) ② Generating "insight cards" from a single core question ③ Automatically selecting charts for user research reports + outputting ECharts/HTML code (judgment logic of <3 seconds to read the chart, one conclusion per chart) ④ PM/UX quick reference for selecting among 80 chart types (grouped into 6 families: comparison/correlation/part-to-whole/time/distribution/geography) ⑤ Running AI eye-tracking heatmaps on uploaded UI screenshots (four scanning patterns: F-pattern/spotted/layer-cake/commitment) ⑥ 6-dimension expert review scoring for multiple UI solutions (primary/secondary/edge users + business + accessibility + scalability, final score = starting score − deductions). It also includes "3 criteria for strong insights + causal sentence templates", the "sample → behavior → commonality → insight" reporting structure, and how data and user research divide work across 4 project types: growth/fix/validation/exploration. It complements google-ux-research: that piece covers the manual craft of interviews/usability testing/affinity diagrams, while this piece covers the prompts and judgment rules for accelerating the same set of work with AI. The target readers are PMs building AI products, and each section comes with a Why explanation + reusable prompt skeletons.