# Send Ux Researcher Designer to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
## Suggested prompts
### New install

```text
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
```
### Upgrade existing

```text
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "ux-researcher-designer",
    "name": "Ux Researcher Designer",
    "source": "tencent",
    "type": "skill",
    "category": "效率提升",
    "sourceUrl": "https://clawhub.ai/alirezarezvani/ux-researcher-designer",
    "canonicalUrl": "https://clawhub.ai/alirezarezvani/ux-researcher-designer",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/ux-researcher-designer",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=ux-researcher-designer",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "SKILL.md",
      "references/example-personas.md",
      "references/journey-mapping-guide.md",
      "references/persona-methodology.md",
      "references/usability-testing-frameworks.md",
      "scripts/persona_generator.py"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-30T16:55:25.780Z",
      "expiresAt": "2026-05-07T16:55:25.780Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
        "contentDisposition": "attachment; filename=\"network-1.0.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/ux-researcher-designer"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/ux-researcher-designer",
    "downloadUrl": "https://openagent3.xyz/downloads/ux-researcher-designer",
    "agentUrl": "https://openagent3.xyz/skills/ux-researcher-designer/agent",
    "manifestUrl": "https://openagent3.xyz/skills/ux-researcher-designer/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/ux-researcher-designer/agent.md"
  }
}
```
## Documentation

### 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"

### 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
ComponentWhat to CheckArchetypeDoes 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?


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
ElementDescriptionPersonaWhich user typeGoalWhat they're trying to achieveStartTrigger that begins journeyEndSuccess criteriaTimeframeHours/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:
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?"


Select method
MethodParticipantsDurationBest ForModerated remote5-845-60 minDeep insightsUnmoderated remote10-2015-20 minQuick validationGuerrilla3-55-10 minRapid 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
MetricTargetCompletion rate>80%Time on task<2× expectedError 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
ClusterUsers%ViabilityPower Users1836%Primary personaBusiness Users1530%Primary personaCasual Users1224%Secondary persona


Extract key findings
For each theme:

Finding statement
Supporting evidence (quotes, data)
Frequency (X/Y participants)
Business impact
Recommendation



Prioritize opportunities
FactorScore 1-5FrequencyHow often does this occur?SeverityHow much does it hurt?BreadthHow many users affected?SolvabilityCan we fix this?


Reference: See references/persona-methodology.md for analysis framework

### persona_generator.py

Generates data-driven personas from user research data.

ArgumentValuesDefaultDescriptionformat(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 Focuspower_userDaily use, 10+ featuresEfficiency, customizationcasual_userWeekly use, 3-5 featuresSimplicity, guidancebusiness_userWork context, team useCollaboration, reportingmobile_firstMobile primaryTouch, offline, speed

Output Components:

ComponentDescriptiondemographicsAge range, location, occupation, tech levelpsychographicsMotivations, values, attitudes, lifestylebehaviorsUsage patterns, feature preferencesneeds_and_goalsPrimary, secondary, functional, emotionalfrustrationsPain points with evidencescenariosContextual usage storiesdesign_implicationsActionable recommendationsdata_pointsSample size, confidence level

### 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 Case5-10 usersLowExploratory11-30 usersMediumDirectional31+ usersHighProduction

### Usability Issue Severity

SeverityDefinitionAction4 - CriticalPrevents task completionFix immediately3 - MajorSignificant difficultyFix before release2 - MinorCauses hesitationFix when possible1 - CosmeticNoticed but not problematicLow priority

### Interview Question Types

TypeExampleUse ForContext"Walk me through your typical day"Understanding environmentBehavior"Show me how you do X"Observing actual actionsGoals"What are you trying to achieve?"Uncovering motivationsPain"What's the hardest part?"Identifying frustrationsReflection"What would you change?"Generating ideas

### Knowledge Base

Detailed reference guides in references/:

FileContentpersona-methodology.mdValidity criteria, data collection, analysis frameworkjourney-mapping-guide.mdMapping process, templates, opportunity identificationexample-personas.md3 complete persona examples with datausability-testing-frameworks.mdTest planning, task design, analysis

### 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
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: alirezarezvani
- Version: 2.1.1
## Source health
- Status: healthy
- Source download looks usable.
- Yavira can redirect you to the upstream package for this source.
- Health scope: source
- Reason: direct_download_ok
- Checked at: 2026-04-30T16:55:25.780Z
- Expires at: 2026-05-07T16:55:25.780Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/ux-researcher-designer)
- [Send to Agent page](https://openagent3.xyz/skills/ux-researcher-designer/agent)
- [JSON manifest](https://openagent3.xyz/skills/ux-researcher-designer/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/ux-researcher-designer/agent.md)
- [Download page](https://openagent3.xyz/downloads/ux-researcher-designer)