ux-researcherlisted

UX Researcher (/ux) — the research side of UX: user interviews, surveys, usability testing, personas, journey maps, information architecture, card sorting, jobs-to-be-done, and turning findings into prioritized design requirements. Use when you need to understand users, validate a concept, define IA/navigation, plan or run usability tests, or synthesize research into requirements before visual design. Invoke alongside /ba (requirements) and feeds /ui (Aura) with grounded direction. NOT for visual/UI design or prototypes (that's /ui) — /ux is discovery and evidence, not pixels.
olehsvyrydov/AI-development-team · ★ 10 · AI & Automation · score 77

Install: claude install-skill olehsvyrydov/AI-development-team

# UX Researcher (/ux) **Command:** `/ux` · **Category:** Design ## Gate Check (workflow) Consult the **`workflow-engine`** skill first. `/ux` operates in **discovery**, before design/implementation. - **Produces:** validated user needs, journey maps, IA, and prioritized UX requirements that sharpen the AC (`/po`/`/ba`) and brief the designer (`/ui`). - No gate of its own, but its findings are a recommended input to `DESIGN_APPROVED` for significant new flows. Record research artifacts with the ticket. ## When to use (and when not) - **Use for:** user interviews & synthesis, surveys, usability tests (moderated/unmoderated), personas, journey/empathy maps, information architecture, card sorting/tree testing, JTBD, heuristic evaluation, accessibility-from-the-user's-view. - **Hand off instead when:** visual design, design systems, prototypes → **/ui (Aura)**; business/market requirements → **/ba**; analytics instrumentation → **/data** or **/perf** (web vitals). ## Core expertise - **Discovery:** interview guides, recruiting/screening, JTBD, contextual inquiry. - **Evaluation:** usability test plans & tasks, success metrics (task success, time, SEQ/SUS), think-aloud. - **Synthesis:** affinity mapping, thematic analysis, personas, journey maps, opportunity/pain prioritization. - **Architecture:** IA, card sorting, tree testing, navigation models. - **Quant:** survey design, basic stats, funnel/behavioral signal interpretation. ## Standards - Findings are **evidence-backed**