Agent skill

UX Researcher Designer

by alirezarezvani in alirezarezvani/claude-skills

UX research and design toolkit for Senior UX Designer/Researcher including data-driven persona generation, journey mapping, usability testing frameworks, and research synthesis.

MITAuto-check passedProduct & Project Management

Install UX Researcher Designer

skills CLI
$ npx skills add alirezarezvani/claude-skills --skill ux-researcher-designer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install alirezarezvani/claude-skills ux-researcher-designer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/product-team/skills/ux-researcher-designer .claude/skills/ux-researcher-designer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ux-researcher-designer
GitHub stars
28k
Used in
1 other repo
Token cost
~3k tokens
SKILL.md length
991 words
Files
7 (incl. scripts, references, assets)
Skills in repo
342
Repo updated
First seen
Licence
MIT

At a glance

UX research and design toolkit for Senior UX Designer/Researcher including data-driven persona generation, journey mapping, usability testing frameworks, and research synthesis.

  • Works in 5 steps: Prepare user data → Run persona generator → Review generated components → …
  • Conducting user research
  • SKILL.md covers Table of Contents, Trigger Terms, Workflows and Tool Reference, plus 4 more sections
  • Runs Python scripts from its folder; calls python

What it does

UX Researcher Designer is an agent skill from alirezarezvani/claude-skills. UX research and design toolkit for Senior UX Designer/Researcher including data-driven persona generation, journey mapping, usability testing frameworks, and research synthesis. Use when conducting user research, creating personas, mapping user journeys, planning usability tests, or validating designs.

Its SKILL.md is about 3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts, reference files and assets (for example `assets/research_plan_template.md`, `references/example-personas.md` and `references/journey-mapping-guide.md`).

It sits in Product & Project Management, covering User research, Customer journey mapping and UX design. The repository describes itself as: 380 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 380+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8… The licence is MIT.

When your agent uses it

  • Conducting user research
  • Creating personas
  • Mapping user journeys
  • Planning usability tests

Example prompts

  • “/ux-researcher-designer”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Prepare user data
  2. Run persona generator
  3. Review generated components
  4. Validate persona
  5. Reference: See references/persona-methodology.md for validity criteria

What it can do on your machine

Read from SKILL.md and the folder at commit 19392f7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

UX Researcher Designer loads about 3k tokens when it runs, and up to ~16k if it reads all its reference files. Until then it costs about 82 tokens; SKILL.md has 991 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~82
When it runs · the whole SKILL.md, loaded when a task matches
~3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~16k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from alirezarezvani/claude-skills at commit 19392f7, republished under its MIT licence (© alirezarezvani). 991 words, ~2,980 tokens.

Download SKILL.mdSave it as .claude/skills/ux-researcher-designer/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
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 when conducting user research, creating personas, mapping user journeys, planning usability tests, or validating designs.

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

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:

  1. 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"]
      }
    ]
  2. Run persona generator

    bash
    # Human-readable output
    python scripts/persona_generator.py
    
    # JSON output for integration
    python scripts/persona_generator.py json
  3. Review generated components

    ComponentWhat to Check
    ArchetypeDoes it match the data patterns?
    DemographicsAre they derived from actual data?
    GoalsAre they specific and actionable?
    FrustrationsDo they include frequency counts?
    Design implicationsCan designers act on these?
  4. Validate persona

    • Show to 3-5 real users: "Does this sound like you?"
    • Cross-check with support tickets
    • Verify against analytics data
  5. 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:

  1. Define scope

    ElementDescription
    PersonaWhich user type
    GoalWhat they're trying to achieve
    StartTrigger that begins journey
    EndSuccess criteria
    TimeframeHours/days/weeks
  2. Gather journey data

    Sources:

    • User interviews (ask "walk me through...")
    • Session recordings
    • Analytics (funnel, drop-offs)
    • Support tickets
  3. Map the stages

    Typical B2B SaaS stages:

    Awareness → Evaluation → Onboarding → Adoption → Advocacy
  4. 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?
  5. Identify opportunities

    Priority Score = Frequency × Severity × Solvability

  6. 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:

  1. Define research questions

    Transform vague goals into testable questions:

    VagueTestable
    "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?"
  2. Select method

    MethodParticipantsDurationBest For
    Moderated remote5-845-60 minDeep insights
    Unmoderated remote10-2015-20 minQuick validation
    Guerrilla3-55-10 minRapid feedback
  3. 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

  4. Define success metrics

    MetricTarget
    Completion rate>80%
    Time on task<2× expected
    Error rate<15%
    Satisfaction>4/5
  5. Prepare moderator guide

    • Think-aloud instructions
    • Non-leading prompts
    • Post-task questions
  6. 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:

  1. 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
  2. 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)
  3. Calculate segment sizes

    ClusterUsers%Viability
    Power Users1836%Primary persona
    Business Users1530%Primary persona
    Casual Users1224%Secondary persona
  4. Extract key findings

    For each theme:

    • Finding statement
    • Supporting evidence (quotes, data)
    • Frequency (X/Y participants)
    • Business impact
    • Recommendation
  5. Prioritize opportunities

    FactorScore 1-5
    FrequencyHow often does this occur?
    SeverityHow much does it hurt?
    BreadthHow many users affected?
    SolvabilityCan we fix this?
  6. Reference: See references/persona-methodology.md for analysis framework


Show full SKILL.md (418 more words)Show less

Tool Reference

persona_generator.py

Generates data-driven personas from user research data.

ArgumentValuesDefaultDescription
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:

ArchetypeSignalsDesign Focus
power_userDaily use, 10+ featuresEfficiency, customization
casual_userWeekly use, 3-5 featuresSimplicity, guidance
business_userWork context, team useCollaboration, reporting
mobile_firstMobile primaryTouch, offline, speed

Output Components:

ComponentDescription
demographicsAge range, location, occupation, tech level
psychographicsMotivations, values, attitudes, lifestyle
behaviorsUsage patterns, feature preferences
needs_and_goalsPrimary, secondary, functional, emotional
frustrationsPain points with evidence
scenariosContextual usage stories
design_implicationsActionable recommendations
data_pointsSample size, confidence level

Quick Reference Tables

Research Method Selection
Question TypeBest MethodSample Size
"What do users do?"Analytics, observation100+ events
"Why do they do it?"Interviews8-15 users
"How well can they do it?"Usability test5-8 users
"What do they prefer?"Survey, A/B test50+ users
"What do they feel?"Diary study, interviews10-15 users
Persona Confidence Levels
Sample SizeConfidenceUse Case
5-10 usersLowExploratory
11-30 usersMediumDirectional
31+ usersHighProduction
Usability Issue Severity
SeverityDefinitionAction
4 - CriticalPrevents task completionFix immediately
3 - MajorSignificant difficultyFix before release
2 - MinorCauses hesitationFix when possible
1 - CosmeticNoticed but not problematicLow priority
Interview Question Types
TypeExampleUse 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/:

FileContent
persona-methodology.mdValidity criteria, data collection, analysis framework
journey-mapping-guide.mdMapping process, templates, opportunity identification
example-personas.md3 complete persona examples with data
usability-testing-frameworks.mdTest 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
  • UI Design System (product-team/ui-design-system/) — Research findings inform design system decisions
  • Product Manager Toolkit (product-team/product-manager-toolkit/) — Customer interview analysis complements persona research

© alirezarezvani, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files (scripts, references, assets) in product-team/skills/ux-researcher-designer of alirezarezvani/claude-skills.

  • SKILL.md
  • assets/research_plan_template.md
  • references/example-personas.md
  • references/journey-mapping-guide.md
  • references/persona-methodology.md
  • references/usability-testing-frameworks.md
  • scripts/persona_generator.py

Open the folder on GitHubat commit 19392f7

Used in 1 other repository

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in alirezarezvani/claude-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

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Questions about UX Researcher Designer

What does UX Researcher Designer do?

UX research and design toolkit for Senior UX Designer/Researcher including data-driven persona generation, journey mapping, usability testing frameworks, and research synthesis. UX Researcher Designer is an agent skill from alirezarezvani/claude-skills. UX research and design toolkit for Senior UX Designer/Researcher including data-driven persona generation, journey mapping, usability testing frameworks, and research synthesis.

When should I use UX Researcher Designer?

UX Researcher Designer fits situations like: conducting user research; creating personas; mapping user journeys; planning usability tests.

How do I install UX Researcher Designer in Claude Code?

Run `npx skills add alirezarezvani/claude-skills --skill ux-researcher-designer -a claude-code`. Or copy the skill folder (product-team/skills/ux-researcher-designer in alirezarezvani/claude-skills) into .claude/skills/ux-researcher-designer in your project. Claude Code loads it when a task matches its description.

How do I install UX Researcher Designer in Codex?

Run `npx skills add alirezarezvani/claude-skills --skill ux-researcher-designer -a codex`. Or copy the skill folder (product-team/skills/ux-researcher-designer in alirezarezvani/claude-skills) into .agents/skills/ux-researcher-designer in your project. Codex loads it when a task matches its description.

Can I use UX Researcher Designer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add alirezarezvani/claude-skills --skill ux-researcher-designer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ux-researcher-designer, .gemini/skills/ux-researcher-designer, .github/skills/ux-researcher-designer and .opencode/skills/ux-researcher-designer in your project.

What does UX Researcher Designer need to run?

Going by SKILL.md and its folder, UX Researcher Designer needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does UX Researcher Designer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is UX Researcher Designer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does UX Researcher Designer use?

UX Researcher Designer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does UX Researcher Designer use?

About 3k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 13k tokens, read only when the agent opens those files.

What are the alternatives to UX Researcher Designer?

Skills that share tags, products or a category with UX Researcher Designer: UX Researcher Designer (borghei/Claude-Skills, 891 stars), UX Researcher Designer (maslennikov-ig/claude-code-orchestrator-kit, 260 stars), Lean UX Canvas v2 (deanpeters/Product-Manager-Skills, 7.2k stars) and Prototype (plugin87/ux-ui-agent-skills, 1.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains UX Researcher Designer?

alirezarezvani (a GitHub user) maintains it in alirezarezvani/claude-skills, which has 27,938 GitHub stars. The repository holds 342 skills in this directory. The repository was last updated on August 30, 2026.

Source: alirezarezvani/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.