What problem does it solve? Before designing an interface, teams rarely know what published research already says about their users and tasks, and ad-hoc literature searches produce unverifiable, unreproducible summaries. This Skill turns a product scope into a rigorous, schema-governed survey of published user-research evidence with validated artifacts at every stage. ## Core Features & Use Cases - Research vocabulary mapping: Derives a four-axis search protocol (user-population, task, method, component) with typed term expansions, honest provenance, and per-angle applicability verdicts. - Angle-based retrieval: Executes one named search angle across scholarly indexes (Crossref, Semantic Scholar, arXiv), practitioner corpora (NN/g, Baymard, GOV.UK), and standards-body findings, recording every query verbatim and honoring declared crawl delays. - Finding extraction and synthesis: Deep-reads one source into N finding records with rule-assigned GRADE certainty and separate transferability judgments, then synthesizes an evidence register and seven-section report. - Use Case: Before designing a mobile checkout flow, run the survey to build the vocabulary map, execute the practitioner-research angle, extract findings from admitted full-text sources, and produce an evidence register whose every claim carries a finding id, certainty level, and transferability rationale. ## Quick Start Use user-research-prior-art-survey to build the research vocabulary map for this product scope before we design the interface.
