UX Researcher & Designer

Overview

This skill provides [TODO: Add 2-3 sentence overview].

Core Value: [TODO: Add value proposition with metrics]

Target Audience: [TODO: Define target users]

Use Cases: [TODO: List 3-5 primary use cases]

Core Capabilities

• [Capability 1] - [Description]

• [Capability 2] - [Description]

• [Capability 3] - [Description]

• [Capability 4] - [Description]

Key Workflows

Workflow 1: [Workflow Name]

Time: [Duration estimate]

Steps:

• [Step 1]

• [Step 2]

• [Step 3]

Expected Output: [What success looks like]

Workflow 2: [Workflow Name]

Time: [Duration estimate]

Steps:

• [Step 1]

• [Step 2]

• [Step 3]

Expected Output: [What success looks like]

Comprehensive toolkit for user-centered research and experience design. This skill provides Python tools for persona generation, research frameworks for validation, and battle-tested templates for interviews and journey mapping.

What This Skill Provides:

• Data-driven persona generator from user research

• User research methodologies (interviews, usability testing)

• Journey mapping and Jobs-to-be-Done frameworks

• Design validation methods (prototypes, A/B tests)

• Accessibility compliance frameworks (WCAG 2.1)

Best For:

• Conducting user research and synthesis

• Creating research-backed personas

• Journey mapping and empathy building

• Usability testing and validation

• Ensuring accessible design

Quick Start

Generate Personas

Interactive mode

python scripts/persona_generator.py

From user data

python scripts/persona_generator.py --data user_research.json

Filter by segment

python scripts/persona_generator.py --data user_data.json --segment "premium"

Persona Components

Demographics: Age, role, company, technical proficiency Goals: Primary objectives and motivations Pain Points: Frustrations and challenges Behaviors: Usage patterns and preferences JTBD: Jobs-to-be-done framework

See frameworks.md for complete persona development framework.

Core Workflows

1. User Research Process

Steps:

• Define research questions

• Recruit participants (5-8 per cohort)

• Conduct interviews (30-45 min each)

• Synthesize findings

• Generate personas: python scripts/persona_generator.py --data research.json

• Validate with stakeholders

Research Methods:

• Qualitative: Interviews, usability testing, field studies

• Quantitative: Surveys, analytics, A/B tests

• Mixed: Combine both for comprehensive insights

Interview Structure:

• Introduction (5 min)

• Background (5 min)

• Problem exploration (20 min)

• Solution validation (10 min)

• Wrap-up (5 min)

Detailed Methods: See frameworks.md for qualitative and quantitative research frameworks.

Templates: See templates.md for interview scripts and usability test plans.

2. Persona Creation Process

Steps:

• Collect user data (interviews, surveys, analytics)

• Format as JSON input

• Generate personas: python scripts/persona_generator.py --data user_research.json

• Segment by user type (enterprise, SMB, individual)

• Validate with real users

• Update quarterly with new data

Persona Components:

• Demographics and psychographics

• Goals and motivations

• Pain points and frustrations

• Behavior patterns

• Jobs-to-be-done

• Representative quotes

Confidence Scoring:

• High: Based on 15+ interviews

• Medium: Based on 8-14 interviews

• Low: Based on <8 interviews

Detailed Framework: See frameworks.md for persona development and Jobs-to-be-Done framework.

Templates: See templates.md for persona template and journey map format.

3. Design Validation Process

Methods:

• Prototype Testing: Low/mid/high-fidelity testing

• Usability Testing: Task-based scenarios with 5-8 users

• A/B Testing: Quantitative validation of design decisions

• Design Critiques: Structured feedback sessions

Usability Test Structure:

• Plan (research questions, success metrics)

• Recruit (5-8 participants per round)

• Execute (45-50 min sessions)

• Analyze (severity rating, prioritization)

• Iterate (implement fixes, retest)

Severity Rating:

• Critical: Prevents task completion

• High: Causes significant frustration

• Medium: Minor inconvenience

• Low: Cosmetic issue

Detailed Frameworks: See frameworks.md for usability testing and validation methods.

Templates: See templates.md for usability test plan template.

Python Tools

persona_generator.py

Data-driven persona generation from user research.

Key Features:

• Demographic and psychographic profiling

• Goals and pain points extraction

• Behavior pattern identification

• Jobs-to-be-done analysis

• Confidence scoring based on sample size

• Multiple output formats (text, JSON, CSV)

Usage:

Interactive persona creation

python3 scripts/persona_generator.py

From user research JSON

python3 scripts/persona_generator.py --data user_research.json

Filter by segment

python3 scripts/persona_generator.py --data user_data.json --segment "enterprise"

JSON output

python3 scripts/persona_generator.py --data user_research.json --output json

Save to file

python3 scripts/persona_generator.py --data user_research.json -o json -f personas.json

Verbose mode

python3 scripts/persona_generator.py --data user_research.json -v

Generated Persona Includes:

• Name and archetype

• Demographics (age, role, company, industry)

• Goals (primary objectives)

• Pain points (frustrations)

• Behaviors (usage patterns)

• Jobs-to-be-done (JTBD framework)

• Representative quote

• Confidence level (based on sample size)

Input Format:

• JSON file with user research data

• Demographics, behaviors, goals, pain points, quotes

• Multiple users per segment

Complete Documentation: See tools.md for full usage guide, input formats, and integration patterns.

Reference Documentation

Frameworks (frameworks.md)

Comprehensive research and design frameworks:

• User Research Methods: Qualitative and quantitative approaches

• Persona Development: JTBD, persona components, validation criteria

• Journey Mapping: Customer journey stages, map components, insights

• Usability Testing: Test planning, execution, severity rating

• Accessibility Framework: WCAG 2.1 principles, compliance checklist

• Design Validation: Prototype testing, A/B testing, design critiques

Templates (templates.md)

Ready-to-use templates:

• User Interview Script: Complete interview guide with questions

• Persona Template: Comprehensive persona format

• Journey Map Template: Multi-stage journey mapping format

• Usability Test Plan: Complete test plan with scenarios

Tools (tools.md)

Python tool documentation:

• persona_generator.py: Complete usage guide

• Command-Line Options: All flags and parameters

• Input Format: User research JSON structure

• Generated Output: Persona format examples

• Integration Patterns: Figma, documentation, research synthesis

• Best Practices: DO/DON'T guidelines

Integration Points

This toolkit integrates with:

• Design Tools: Figma, Sketch, Miro (personas and journey maps)

• Research Tools: Dovetail, UserVoice, Maze, Optimal Workshop

• Analytics: Amplitude, Mixpanel, Hotjar, FullStory

• Testing: UserTesting.com, Lookback, UserZoom

• Documentation: Confluence, Notion, Airtable

See tools.md for detailed integration workflows.

Quick Commands

Interactive persona creation

python scripts/persona_generator.py

From user research data

python scripts/persona_generator.py --data user_research.json

By segment

python scripts/persona_generator.py --data user_data.json --segment "enterprise" python scripts/persona_generator.py --data user_data.json --segment "smb"

Export formats

python scripts/persona_generator.py --data research.json -o json -f personas.json python scripts/persona_generator.py --data research.json -o csv -f personas.csv

Verbose output

python scripts/persona_generator.py --data research.json -v