ux-researcher-designer
davila7/claude-code-templates
Data-driven persona generation, journey mapping, and usability testing for UX research and design.
What is ux-researcher-designer?
A comprehensive toolkit for Senior UX Designers and Researchers to conduct user-centered research and validation. Use it to generate research-backed personas, map customer journeys, run usability testing, and synthesize research insights into actionable design recommendations.
- Generate data-driven personas from user interviews and behavioral data with confidence scoring
- Map customer journeys to identify pain points and opportunities
- Execute usability testing frameworks for design validation
- Synthesize research data into actionable insights and design implications
- Analyze user behavior patterns and identify persona archetypes
- Extract psychographics and generate user scenarios
How to install ux-researcher-designer
npx skills add https://github.com/davila7/claude-code-templates --skill ux-researcher-designerHow to use ux-researcher-designer
- 1.Prepare user research data in JSON format (interviews, surveys, behavioral data)
- 2.Run the persona generator: python scripts/persona_generator.py [json]
- 3.Review generated personas including archetypes, psychographics, and confidence scores
- 4.Use personas to inform journey mapping and usability testing frameworks
- 5.Synthesize findings and design implications for stakeholder communication
Use cases
- Creating detailed personas from qualitative and quantitative user research to guide product design decisions
- Mapping end-to-end customer journeys to uncover friction points and improvement opportunities
- Validating design concepts through structured usability testing before development
- Synthesizing findings from multiple research methods into coherent insights for stakeholder presentations
- Generating scenario-based design implications to inform feature prioritization
- Senior UX Designers
- UX Researchers
- Product Designers
- Design Leaders
- User Research Teams
ux-researcher-designer FAQ
The toolkit accepts JSON format containing user interview transcripts, survey responses, and behavioral data.
Confidence scores are based on sample size and data quality, indicating the reliability of generated personas.
Yes, the toolkit is designed to work with any user research data regardless of product domain or industry.
Design implications include actionable recommendations derived from persona characteristics, behaviors, and pain points.
Use the usability testing frameworks included in the toolkit to validate persona assumptions with real users.
Full instructions (SKILL.md)
Source of truth, from davila7/claude-code-templates.
name: ux-researcher-designer description: UX research and design toolkit for Senior UX Designer/Researcher including data-driven persona generation, journey mapping, usability testing frameworks, and research synthesis. Use for user research, persona creation, journey mapping, and design validation.
UX Researcher & Designer
Comprehensive toolkit for user-centered research and experience design.
Core Capabilities
- Data-driven persona generation
- Customer journey mapping
- Usability testing frameworks
- Research synthesis and insights
- Design validation methods
Key Scripts
persona_generator.py
Creates research-backed personas from user data and interviews.
Usage: python scripts/persona_generator.py [json]
Features:
- Analyzes user behavior patterns
- Identifies persona archetypes
- Extracts psychographics
- Generates scenarios
- Provides design implications
- Confidence scoring based on sample size
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