AI-Assisted UX · Discovery and Research Phase (Prompts and Workflows for Using AI to Define Business/Experience Goals, MVP Metrics, Problem Framing, User Research Reports, and Background Infographics)
This is the prompt and workflow handbook for the first phase (Discover & Research) of Will’s "AI-Assisted UX Workflow". It covers 7 tasks in the discovery and research phase that can be accelerated by AI: ① Distill scattered project background into a professional "Project Background (PB) statement" ② Derive business goals × experience goals × plain-language driving logic from the background ③ Locate experience problems on old interfaces and quantify their metric impact ④ Rewrite vague problems into actionable problem statements + problem overview diagrams ⑤ Use MVP hypothesis/metric scripts for interview verbal delivery ⑥ Generate a fully structured product concept user research report (including simulated data + risk and objection signals) ⑦ Convert content into "chart prompts" for professional infographics. Each section provides reusable prompt skeletons + Why explanations + counterexamples + sample outputs. It also includes the underlying mental models (business outcome = traffic × conversion × cost, experience only acts on the behavioral layer, MVP dual hypotheses, four-dimensional demand scoring). It complements google-ux-research: that piece covers UX research methods themselves (how to conduct interviews/draw empathy maps/run usability tests), while this piece explains how to use AI to quickly turn these research outputs into deliverables suitable for reporting or inclusion in a portfolio. It is oriented toward non-technical PMs, with jargon explained in parentheses.