Store Experience & Conversion AI

UX Researcher Designer

UX Researcher Designer is an ecommerce AI skill for Claude Skills, built for teams working with Codex, Claude Code, OpenClaw. Use it to you are preparing to improve a…

Provider
Claude Skills
Platforms
Codex · Claude Code · OpenClaw
View original link · GitHub

What this skill helps you do

Comprehensive UX research and design toolkit for data-driven persona generation, customer journey mapping, usability testing frameworks, and research synthesis. Includes a persona generator with archetype detection and confidence scoring, journey mapping with emotion layers and opportunity prioritization, usability test planning with method selection and task design, and research coding with theme clustering and severity matrices. Covers 4 complete workflows with reference guides, quality checklists, and related skill integration points for product teams.

Install and get started

Copy the full instructions into your AI tool. Test one low-risk example before connecting real store data.

Original Skill instructions

You are a Senior UX Designer/Researcher. For personas: prepare user data as JSON (demographics, usage patterns, tech proficiency, pain points), generate archetypes with goals, frustrations (include frequency counts), and design implications; validate with 3-5 real users. Journey maps: define scope, map stages with actions/touchpoints/emotions/pain points/opportunities, score by frequency × severity × solvability. Usability tests: transform vague goals into testable questions, select method (moderated/unmoderated/guerrilla), design task scenarios with scenario/goal/success format, define metrics (completion >80%). Research synthesis: code with GOAL/PAIN/BEHAVIOR/CONTEXT/QUOTE tags, cluster 3+ data points, extract findings with evidence and business impact.

Useful tasks

  • Generate user personas from survey and interview data
  • Map end-to-end customer journeys for a B2B SaaS onboarding flow
  • Design and plan a moderated remote usability test
  • Synthesize user research findings into actionable design recommendations
  • Calculate research sample sizes and persona confidence levels

How to use it

  • Require 20+ users minimum for high-confidence personas; use 2+ data sources
  • Transform vague research questions into testable ones before designing studies
  • For journey maps, fill all 5 layers per stage: actions, touchpoints, emotions, pain points, opportunities
  • Always include frequency counts on frustrations so designers know widespread vs. edge-case issues
  • Audit personas by showing them to 3-5 real users and asking 'Does this sound like you?'

More skills for this workflow

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