# Skills UX Researcher Designer

> UX Researcher & Designer

- Skill: `urjuyaimon09/skills-ux-researcher-designer` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add urjuyaimon09/skills-ux-researcher-designer`
- Raw SKILL.md: https://api.skillmd.com/api/skills/urjuyaimon09/skills-ux-researcher-designer/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: urjuyaimon09 (https://skillmd.com/u/urjuyaimon09)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/urjuyaimon09/skills-ux-researcher-designer

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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
Workflows
Workflow 1: Generate User Persona
Workflow 2: Create Journey Map
Workflow 3: Plan Usability Test
Workflow 4: Synthesize Research
Tool Reference
Quick Reference Tables
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):

[
  {
    "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

# 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.md for 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.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."


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.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
journey-mapping-guide.md	Mapping process, templates, opportunity identification
example-personas.md	3 complete persona examples with data
usability-testing-frameworks.md	Test planning, task design, analysis
Validation Checklist
Persona Quality
 Based on 20+ users (minimum)
 At least 2 data sources (quant + qual)
 Specific, actionable goals
 Frustrations include frequency counts
 Design implications are specific
 Confidence level stated
Journey Map Quality
 Scope clearly defined (persona, goal, timeframe)
 Based on real user data, not assumptions
 All layers filled (actions, touchpoints, emotions)
 Pain points identified per stage
 Opportunities prioritized
Usability Test Quality
 Research questions are testable
 Tasks are realistic scenarios, not instructions
 5+ participants per design
 Success metrics defined
 Findings include severity ratings
Research Synthesis Quality
 Data coded consistently
 Patterns based on 3+ data points
 Findings include evidence
 Recommendations are actionable
 Priorities justified