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.
Instalação
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
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
Generate user personas from research data, create journey maps, plan usability tests, and synthesize research findings into actionable design recommendations.
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.md for 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."
Reference: See references/usability-testing-frameworks.md for 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.md for 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:
Component
Description
demographics
Age range, location, occupation, tech level
psychographics
Motivations, values, attitudes, lifestyle
behaviors
Usage patterns, feature preferences
needs_and_goals
Primary, secondary, functional, emotional
frustrations
Pain points with evidence
scenarios
Contextual usage stories
design_implications
Actionable recommendations
data_points
Sample size, confidence level
Quick Reference Tables
Research Method Selection
Question Type
Best Method
Sample Size
"What do users do?"
Analytics, observation
100+ events
"Why do they do it?"
Interviews
8-15 users
"How well can they do it?"
Usability test
5-8 users
"What do they prefer?"
Survey, A/B test
50+ users
"What do they feel?"
Diary study, interviews
10-15 users
Persona Confidence Levels
Sample Size
Confidence
Use Case
5-10 users
Low
Exploratory
11-30 users
Medium
Directional
31+ users
High
Production
Usability Issue Severity
Severity
Definition
Action
4 - Critical
Prevents task completion
Fix immediately
3 - Major
Significant difficulty
Fix before release
2 - Minor
Causes hesitation
Fix when possible
1 - Cosmetic
Noticed but not problematic
Low priority
Interview Question Types
Type
Example
Use For
Context
"Walk me through your typical day"
Understanding environment
Behavior
"Show me how you do X"
Observing actual actions
Goals
"What are you trying to achieve?"
Uncovering motivations
Pain
"What's the hardest part?"
Identifying frustrations
Reflection
"What would you change?"
Generating ideas
Knowledge Base
Detailed reference guides in references/:
File
Content
persona-methodology.md
Validity criteria, data collection, analysis framework