UX Researcher & Designer
Generate user personas from research data, create journey maps, plan usability tests, and synthesize research findings into actionable design recommendations.
Table of Contents
- [Trigger Terms](#trigger-terms)
- [Workflows](#workflows)
- [Workflow 1: Generate User Persona](#workflow-1-generate-user-persona)
- [Workflow 2: Create Journey Map](#workflow-2-create-journey-map)
- [Workflow 3: Plan Usability Test](#workflow-3-plan-usability-test)
- [Workflow 4: Synthesize Research](#workflow-4-synthesize-research)
- [Tool Reference](#tool-reference)
- [Quick Reference Tables](#quick-reference-tables)
- [Knowledge Base](#knowledge-base)
Trigger Terms
Use this skill when you need to:
- "create user persona"
- "generate persona from data"
- "build customer journey map"
- "map user journey"
- "plan usability test"
- "design usability study"
- "analyze user research"
- "synthesize interview findings"
- "identify user pain points"
- "define user archetypes"
- "calculate research sample size"
- "create empathy map"
- "identify user needs"
Workflows
Workflow 1: Generate User Persona
Situation: You have user data (analytics, surveys, interviews) and need to create a research-backed persona.
Steps:
- Prepare user data
Required format (JSON): ``json [ { "user_id": "user_1", "age": 32, "usage_frequency": "daily", "features_used": ["dashboard", "reports", "export"], "primary_device": "desktop", "usage_context": "work", "tech_proficiency": 7, "pain_points": ["slow loading", "confusing UI"] } ] ``
- Run persona generator
```bash # Human-readable output python scripts/persona_generator.py
# JSON output for integration python scripts/persona_generator.py json ```
- Review generated components
| Component | What to Check | |-----------|---------------| | Archetype | Does it match the data patterns? | | Demographics | Are they derived from actual data? | | Goals | Are they specific and actionable? | | Frustrations | Do they include frequency counts? | | Design implications | Can designers act on these? |
- Validate persona
- Show to 3-5 real users: "Does this sound like you?"
- Cross-check with support tickets
- Verify against analytics data
- Reference: See
references/persona-methodology.mdfor validity criteria
Workflow 2: Create Journey Map
Situation: You need to visualize the end-to-end user experience for a specific goal.
Steps:
- Define scope
| Element | Description | |---------|-------------| | Persona | Which user type | | Goal | What they're trying to achieve | | Start | Trigger that begins journey | | End | Success criteria | | Timeframe | Hours/days/weeks |
- Gather journey data
Sources:
- User interviews (ask "walk me through...")
- Session recordings
- Analytics (funnel, drop-offs)
- Support tickets
- Map the stages
Typical B2B SaaS stages: `` Awareness → Evaluation → Onboarding → Adoption → Advocacy ``
- Fill in layers for each stage
`` Stage: [Name] ├── Actions: What does user do? ├── Touchpoints: Where do they interact? ├── Emotions: How do they feel? (1-5) ├── Pain Points: What frustrates them? └── Opportunities: Where can we improve? ``
- Identify opportunities
Priority Score = Frequency × Severity × Solvability
- Reference: See
references/journey-mapping-guide.mdfor templates
Workflow 3: Plan Usability Test
Situation: You need to validate a design with real users.
Steps:
- Define research questions
Transform vague goals into testable questions:
| Vague | Testable | |-------|----------| | "Is it easy to use?" | "Can users complete checkout in <3 min?" | | "Do users like it?" | "Will users choose Design A or B?" | | "Does it make sense?" | "Can users find settings without hints?" |
- Select method
| Method | Participants | Duration | Best For | |--------|--------------|----------|----------| | Moderated remote | 5-8 | 45-60 min | Deep insights | | Unmoderated remote | 10-20 | 15-20 min | Quick validation | | Guerrilla | 3-5 | 5-10 min | Rapid feedback |
- Design tasks
Good task format: `` SCENARIO: "Imagine you're planning a trip to Paris..." GOAL: "Book a hotel for 3 nights in your budget." SUCCESS: "You see the confirmation page." ``
Task progression: Warm-up → Core → Secondary → Edge case → Free exploration
- Define success metrics
| Metric | Target | |--------|--------| | Completion rate | >80% | | Time on task | <2× expected | | Error rate | <15% | | Satisfaction | >4/5 |
- Prepare moderator guide
- Think-aloud instructions
- Non-leading prompts
- Post-task questions
- Reference: See
references/usability-testing-frameworks.mdfor full guide
Workflow 4: Synthesize Research
Situation: You have raw research data (interviews, surveys, observations) and need actionable insights.
Steps:
- Code the data
Tag each data point:
[GOAL]- What they want to achieve[PAIN]- What frustrates them[BEHAVIOR]- What they actually do[CONTEXT]- When/where they use product[QUOTE]- Direct user words
- Cluster similar patterns
``` User A: Uses daily, advanced features, shortcuts User B: Uses daily, complex workflows, automation User C: Uses weekly, basic needs, occasional
Cluster 1: A, B (Power Users) Cluster 2: C (Casual User) ```
- Calculate segment sizes
| Cluster | Users | % | Viability | |---------|-------|---|-----------| | Power Users | 18 | 36% | Primary persona | | Business Users | 15 | 30% | Primary persona | | Casual Users | 12 | 24% | Secondary persona |
- Extract key findings
For each theme:
- Finding statement
- Supporting evidence (quotes, data)
- Frequency (X/Y participants)
- Business impact
- Recommendation
- Prioritize opportunities
| Factor | Score 1-5 | |--------|-----------| | Frequency | How often does this occur? | | Severity | How much does it hurt? | | Breadth | How many users affected? | | Solvability | Can we fix this? |
- Reference: See
references/persona-methodology.mdfor analysis framework
Tool Reference
persona_generator.py
Generates data-driven personas from user research data.
| Argument | Values | Default | Description | |----------|--------|---------|-------------| | format | (none), json | (none) | Output format |
Sample Output:
============================================================
PERSONA: Alex the Power User
============================================================
📝 A daily user who primarily uses the product for work purposes
Archetype: Power User
Quote: "I need tools that can keep up with my workflow"
👤 Demographics:
• Age Range: 25-34
• Location Type: Urban
• Tech Proficiency: Advanced
🎯 Goals & Needs:
• Complete tasks efficiently
• Automate workflows
• Access advanced features
😤 Frustrations:
• Slow loading times (14/20 users)
• No keyboard shortcuts
• Limited API access
💡 Design Implications:
→ Optimize for speed and efficiency
→ Provide keyboard shortcuts and power features
→ Expose API and automation capabilities
📈 Data: Based on 45 users
Confidence: High
Archetypes Generated:
| Archetype | Signals | Design Focus | |-----------|---------|--------------| | power_user | Daily use, 10+ features | Efficiency, customization | | casual_user | Weekly use, 3-5 features | Simplicity, guidance | | business_user | Work context, team use | Collaboration, reporting | | mobile_first | Mobile primary | Touch, offline, speed |
Output Components:
|