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    "sections": [
      {
        "title": "UX Researcher & Designer",
        "body": "Generate user personas from research data, create journey maps, plan usability tests, and synthesize research findings into actionable design recommendations."
      },
      {
        "title": "Table of Contents",
        "body": "Trigger Terms\nWorkflows\n\nWorkflow 1: Generate User Persona\nWorkflow 2: Create Journey Map\nWorkflow 3: Plan Usability Test\nWorkflow 4: Synthesize Research\n\n\nTool Reference\nQuick Reference Tables\nKnowledge Base"
      },
      {
        "title": "Trigger Terms",
        "body": "Use this skill when you need to:\n\n\"create user persona\"\n\"generate persona from data\"\n\"build customer journey map\"\n\"map user journey\"\n\"plan usability test\"\n\"design usability study\"\n\"analyze user research\"\n\"synthesize interview findings\"\n\"identify user pain points\"\n\"define user archetypes\"\n\"calculate research sample size\"\n\"create empathy map\"\n\"identify user needs\""
      },
      {
        "title": "Workflow 1: Generate User Persona",
        "body": "Situation: You have user data (analytics, surveys, interviews) and need to create a research-backed persona.\n\nSteps:\n\nPrepare user data\nRequired format (JSON):\n[\n  {\n    \"user_id\": \"user_1\",\n    \"age\": 32,\n    \"usage_frequency\": \"daily\",\n    \"features_used\": [\"dashboard\", \"reports\", \"export\"],\n    \"primary_device\": \"desktop\",\n    \"usage_context\": \"work\",\n    \"tech_proficiency\": 7,\n    \"pain_points\": [\"slow loading\", \"confusing UI\"]\n  }\n]\n\n\n\nRun persona generator\n# Human-readable output\npython scripts/persona_generator.py\n\n# JSON output for integration\npython scripts/persona_generator.py json\n\n\n\nReview generated components\nComponentWhat 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?\n\n\nValidate persona\n\nShow to 3-5 real users: \"Does this sound like you?\"\nCross-check with support tickets\nVerify against analytics data\n\n\n\nReference: See references/persona-methodology.md for validity criteria"
      },
      {
        "title": "Workflow 2: Create Journey Map",
        "body": "Situation: You need to visualize the end-to-end user experience for a specific goal.\n\nSteps:\n\nDefine scope\nElementDescriptionPersonaWhich user typeGoalWhat they're trying to achieveStartTrigger that begins journeyEndSuccess criteriaTimeframeHours/days/weeks\n\n\nGather journey data\nSources:\n\nUser interviews (ask \"walk me through...\")\nSession recordings\nAnalytics (funnel, drop-offs)\nSupport tickets\n\n\n\nMap the stages\nTypical B2B SaaS stages:\nAwareness → Evaluation → Onboarding → Adoption → Advocacy\n\n\n\nFill in layers for each stage\nStage: [Name]\n├── Actions: What does user do?\n├── Touchpoints: Where do they interact?\n├── Emotions: How do they feel? (1-5)\n├── Pain Points: What frustrates them?\n└── Opportunities: Where can we improve?\n\n\n\nIdentify opportunities\nPriority Score = Frequency × Severity × Solvability\n\n\nReference: See references/journey-mapping-guide.md for templates"
      },
      {
        "title": "Workflow 3: Plan Usability Test",
        "body": "Situation: You need to validate a design with real users.\n\nSteps:\n\nDefine research questions\nTransform vague goals into testable questions:\nVagueTestable\"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?\"\n\n\nSelect method\nMethodParticipantsDurationBest ForModerated remote5-845-60 minDeep insightsUnmoderated remote10-2015-20 minQuick validationGuerrilla3-55-10 minRapid feedback\n\n\nDesign tasks\nGood task format:\nSCENARIO: \"Imagine you're planning a trip to Paris...\"\nGOAL: \"Book a hotel for 3 nights in your budget.\"\nSUCCESS: \"You see the confirmation page.\"\n\nTask progression: Warm-up → Core → Secondary → Edge case → Free exploration\n\n\nDefine success metrics\nMetricTargetCompletion rate>80%Time on task<2× expectedError rate<15%Satisfaction>4/5\n\n\nPrepare moderator guide\n\nThink-aloud instructions\nNon-leading prompts\nPost-task questions\n\n\n\nReference: See references/usability-testing-frameworks.md for full guide"
      },
      {
        "title": "Workflow 4: Synthesize Research",
        "body": "Situation: You have raw research data (interviews, surveys, observations) and need actionable insights.\n\nSteps:\n\nCode the data\nTag each data point:\n\n[GOAL] - What they want to achieve\n[PAIN] - What frustrates them\n[BEHAVIOR] - What they actually do\n[CONTEXT] - When/where they use product\n[QUOTE] - Direct user words\n\n\n\nCluster similar patterns\nUser A: Uses daily, advanced features, shortcuts\nUser B: Uses daily, complex workflows, automation\nUser C: Uses weekly, basic needs, occasional\n\nCluster 1: A, B (Power Users)\nCluster 2: C (Casual User)\n\n\n\nCalculate segment sizes\nClusterUsers%ViabilityPower Users1836%Primary personaBusiness Users1530%Primary personaCasual Users1224%Secondary persona\n\n\nExtract key findings\nFor each theme:\n\nFinding statement\nSupporting evidence (quotes, data)\nFrequency (X/Y participants)\nBusiness impact\nRecommendation\n\n\n\nPrioritize opportunities\nFactorScore 1-5FrequencyHow often does this occur?SeverityHow much does it hurt?BreadthHow many users affected?SolvabilityCan we fix this?\n\n\nReference: See references/persona-methodology.md for analysis framework"
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        "title": "persona_generator.py",
        "body": "Generates data-driven personas from user research data.\n\nArgumentValuesDefaultDescriptionformat(none), json(none)Output format\n\nSample Output:\n\n============================================================\nPERSONA: Alex the Power User\n============================================================\n\n📝 A daily user who primarily uses the product for work purposes\n\nArchetype: Power User\nQuote: \"I need tools that can keep up with my workflow\"\n\n👤 Demographics:\n  • Age Range: 25-34\n  • Location Type: Urban\n  • Tech Proficiency: Advanced\n\n🎯 Goals & Needs:\n  • Complete tasks efficiently\n  • Automate workflows\n  • Access advanced features\n\n😤 Frustrations:\n  • Slow loading times (14/20 users)\n  • No keyboard shortcuts\n  • Limited API access\n\n💡 Design Implications:\n  → Optimize for speed and efficiency\n  → Provide keyboard shortcuts and power features\n  → Expose API and automation capabilities\n\n📈 Data: Based on 45 users\n    Confidence: High\n\nArchetypes Generated:\n\nArchetypeSignalsDesign Focuspower_userDaily use, 10+ featuresEfficiency, customizationcasual_userWeekly use, 3-5 featuresSimplicity, guidancebusiness_userWork context, team useCollaboration, reportingmobile_firstMobile primaryTouch, offline, speed\n\nOutput Components:\n\nComponentDescriptiondemographicsAge 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"
      },
      {
        "title": "Research Method Selection",
        "body": "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"
      },
      {
        "title": "Persona Confidence Levels",
        "body": "Sample SizeConfidenceUse Case5-10 usersLowExploratory11-30 usersMediumDirectional31+ usersHighProduction"
      },
      {
        "title": "Usability Issue Severity",
        "body": "SeverityDefinitionAction4 - CriticalPrevents task completionFix immediately3 - MajorSignificant difficultyFix before release2 - MinorCauses hesitationFix when possible1 - CosmeticNoticed but not problematicLow priority"
      },
      {
        "title": "Interview Question Types",
        "body": "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"
      },
      {
        "title": "Knowledge Base",
        "body": "Detailed reference guides in references/:\n\nFileContentpersona-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"
      },
      {
        "title": "Persona Quality",
        "body": "Based on 20+ users (minimum)\n At least 2 data sources (quant + qual)\n Specific, actionable goals\n Frustrations include frequency counts\n Design implications are specific\n Confidence level stated"
      },
      {
        "title": "Journey Map Quality",
        "body": "Scope clearly defined (persona, goal, timeframe)\n Based on real user data, not assumptions\n All layers filled (actions, touchpoints, emotions)\n Pain points identified per stage\n Opportunities prioritized"
      },
      {
        "title": "Usability Test Quality",
        "body": "Research questions are testable\n Tasks are realistic scenarios, not instructions\n 5+ participants per design\n Success metrics defined\n Findings include severity ratings"
      },
      {
        "title": "Research Synthesis Quality",
        "body": "Data coded consistently\n Patterns based on 3+ data points\n Findings include evidence\n Recommendations are actionable\n Priorities justified"
      }
    ],
    "body": "UX Researcher & Designer\n\nGenerate user personas from research data, create journey maps, plan usability tests, and synthesize research findings into actionable design recommendations.\n\nTable of Contents\nTrigger Terms\nWorkflows\nWorkflow 1: Generate User Persona\nWorkflow 2: Create Journey Map\nWorkflow 3: Plan Usability Test\nWorkflow 4: Synthesize Research\nTool Reference\nQuick Reference Tables\nKnowledge Base\nTrigger Terms\n\nUse this skill when you need to:\n\n\"create user persona\"\n\"generate persona from data\"\n\"build customer journey map\"\n\"map user journey\"\n\"plan usability test\"\n\"design usability study\"\n\"analyze user research\"\n\"synthesize interview findings\"\n\"identify user pain points\"\n\"define user archetypes\"\n\"calculate research sample size\"\n\"create empathy map\"\n\"identify user needs\"\nWorkflows\nWorkflow 1: Generate User Persona\n\nSituation: You have user data (analytics, surveys, interviews) and need to create a research-backed persona.\n\nSteps:\n\nPrepare user data\n\nRequired format (JSON):\n\n[\n  {\n    \"user_id\": \"user_1\",\n    \"age\": 32,\n    \"usage_frequency\": \"daily\",\n    \"features_used\": [\"dashboard\", \"reports\", \"export\"],\n    \"primary_device\": \"desktop\",\n    \"usage_context\": \"work\",\n    \"tech_proficiency\": 7,\n    \"pain_points\": [\"slow loading\", \"confusing UI\"]\n  }\n]\n\n\nRun persona generator\n\n# Human-readable output\npython scripts/persona_generator.py\n\n# JSON output for integration\npython scripts/persona_generator.py json\n\n\nReview generated components\n\nComponent\tWhat to Check\nArchetype\tDoes it match the data patterns?\nDemographics\tAre they derived from actual data?\nGoals\tAre they specific and actionable?\nFrustrations\tDo they include frequency counts?\nDesign implications\tCan designers act on these?\n\nValidate persona\n\nShow to 3-5 real users: \"Does this sound like you?\"\nCross-check with support tickets\nVerify against analytics data\n\nReference: See references/persona-methodology.md for validity criteria\n\nWorkflow 2: Create Journey Map\n\nSituation: You need to visualize the end-to-end user experience for a specific goal.\n\nSteps:\n\nDefine scope\n\nElement\tDescription\nPersona\tWhich user type\nGoal\tWhat they're trying to achieve\nStart\tTrigger that begins journey\nEnd\tSuccess criteria\nTimeframe\tHours/days/weeks\n\nGather journey data\n\nSources:\n\nUser interviews (ask \"walk me through...\")\nSession recordings\nAnalytics (funnel, drop-offs)\nSupport tickets\n\nMap the stages\n\nTypical B2B SaaS stages:\n\nAwareness → Evaluation → Onboarding → Adoption → Advocacy\n\n\nFill in layers for each stage\n\nStage: [Name]\n├── Actions: What does user do?\n├── Touchpoints: Where do they interact?\n├── Emotions: How do they feel? (1-5)\n├── Pain Points: What frustrates them?\n└── Opportunities: Where can we improve?\n\n\nIdentify opportunities\n\nPriority Score = Frequency × Severity × Solvability\n\nReference: See references/journey-mapping-guide.md for templates\n\nWorkflow 3: Plan Usability Test\n\nSituation: You need to validate a design with real users.\n\nSteps:\n\nDefine research questions\n\nTransform vague goals into testable questions:\n\nVague\tTestable\n\"Is it easy to use?\"\t\"Can users complete checkout in <3 min?\"\n\"Do users like it?\"\t\"Will users choose Design A or B?\"\n\"Does it make sense?\"\t\"Can users find settings without hints?\"\n\nSelect method\n\nMethod\tParticipants\tDuration\tBest For\nModerated remote\t5-8\t45-60 min\tDeep insights\nUnmoderated remote\t10-20\t15-20 min\tQuick validation\nGuerrilla\t3-5\t5-10 min\tRapid feedback\n\nDesign tasks\n\nGood task format:\n\nSCENARIO: \"Imagine you're planning a trip to Paris...\"\nGOAL: \"Book a hotel for 3 nights in your budget.\"\nSUCCESS: \"You see the confirmation page.\"\n\n\nTask progression: Warm-up → Core → Secondary → Edge case → Free exploration\n\nDefine success metrics\n\nMetric\tTarget\nCompletion rate\t>80%\nTime on task\t<2× expected\nError rate\t<15%\nSatisfaction\t>4/5\n\nPrepare moderator guide\n\nThink-aloud instructions\nNon-leading prompts\nPost-task questions\n\nReference: See references/usability-testing-frameworks.md for full guide\n\nWorkflow 4: Synthesize Research\n\nSituation: You have raw research data (interviews, surveys, observations) and need actionable insights.\n\nSteps:\n\nCode the data\n\nTag each data point:\n\n[GOAL] - What they want to achieve\n[PAIN] - What frustrates them\n[BEHAVIOR] - What they actually do\n[CONTEXT] - When/where they use product\n[QUOTE] - Direct user words\n\nCluster similar patterns\n\nUser A: Uses daily, advanced features, shortcuts\nUser B: Uses daily, complex workflows, automation\nUser C: Uses weekly, basic needs, occasional\n\nCluster 1: A, B (Power Users)\nCluster 2: C (Casual User)\n\n\nCalculate segment sizes\n\nCluster\tUsers\t%\tViability\nPower Users\t18\t36%\tPrimary persona\nBusiness Users\t15\t30%\tPrimary persona\nCasual Users\t12\t24%\tSecondary persona\n\nExtract key findings\n\nFor each theme:\n\nFinding statement\nSupporting evidence (quotes, data)\nFrequency (X/Y participants)\nBusiness impact\nRecommendation\n\nPrioritize opportunities\n\nFactor\tScore 1-5\nFrequency\tHow often does this occur?\nSeverity\tHow much does it hurt?\nBreadth\tHow many users affected?\nSolvability\tCan we fix this?\n\nReference: See references/persona-methodology.md for analysis framework\n\nTool Reference\npersona_generator.py\n\nGenerates data-driven personas from user research data.\n\nArgument\tValues\tDefault\tDescription\nformat\t(none), json\t(none)\tOutput format\n\nSample Output:\n\n============================================================\nPERSONA: Alex the Power User\n============================================================\n\n📝 A daily user who primarily uses the product for work purposes\n\nArchetype: Power User\nQuote: \"I need tools that can keep up with my workflow\"\n\n👤 Demographics:\n  • Age Range: 25-34\n  • Location Type: Urban\n  • Tech Proficiency: Advanced\n\n🎯 Goals & Needs:\n  • Complete tasks efficiently\n  • Automate workflows\n  • Access advanced features\n\n😤 Frustrations:\n  • Slow loading times (14/20 users)\n  • No keyboard shortcuts\n  • Limited API access\n\n💡 Design Implications:\n  → Optimize for speed and efficiency\n  → Provide keyboard shortcuts and power features\n  → Expose API and automation capabilities\n\n📈 Data: Based on 45 users\n    Confidence: High\n\n\nArchetypes Generated:\n\nArchetype\tSignals\tDesign Focus\npower_user\tDaily use, 10+ features\tEfficiency, customization\ncasual_user\tWeekly use, 3-5 features\tSimplicity, guidance\nbusiness_user\tWork context, team use\tCollaboration, reporting\nmobile_first\tMobile primary\tTouch, offline, speed\n\nOutput Components:\n\nComponent\tDescription\ndemographics\tAge range, location, occupation, tech level\npsychographics\tMotivations, values, attitudes, lifestyle\nbehaviors\tUsage patterns, feature preferences\nneeds_and_goals\tPrimary, secondary, functional, emotional\nfrustrations\tPain points with evidence\nscenarios\tContextual usage stories\ndesign_implications\tActionable recommendations\ndata_points\tSample size, confidence level\nQuick Reference Tables\nResearch Method Selection\nQuestion Type\tBest Method\tSample Size\n\"What do users do?\"\tAnalytics, observation\t100+ events\n\"Why do they do it?\"\tInterviews\t8-15 users\n\"How well can they do it?\"\tUsability test\t5-8 users\n\"What do they prefer?\"\tSurvey, A/B test\t50+ users\n\"What do they feel?\"\tDiary study, interviews\t10-15 users\nPersona Confidence Levels\nSample Size\tConfidence\tUse Case\n5-10 users\tLow\tExploratory\n11-30 users\tMedium\tDirectional\n31+ users\tHigh\tProduction\nUsability Issue Severity\nSeverity\tDefinition\tAction\n4 - Critical\tPrevents task completion\tFix immediately\n3 - Major\tSignificant difficulty\tFix before release\n2 - Minor\tCauses hesitation\tFix when possible\n1 - Cosmetic\tNoticed but not problematic\tLow priority\nInterview Question Types\nType\tExample\tUse For\nContext\t\"Walk me through your typical day\"\tUnderstanding environment\nBehavior\t\"Show me how you do X\"\tObserving actual actions\nGoals\t\"What are you trying to achieve?\"\tUncovering motivations\nPain\t\"What's the hardest part?\"\tIdentifying frustrations\nReflection\t\"What would you change?\"\tGenerating ideas\nKnowledge Base\n\nDetailed reference guides in references/:\n\nFile\tContent\npersona-methodology.md\tValidity criteria, data collection, analysis framework\njourney-mapping-guide.md\tMapping process, templates, opportunity identification\nexample-personas.md\t3 complete persona examples with data\nusability-testing-frameworks.md\tTest planning, task design, analysis\nValidation Checklist\nPersona Quality\n Based on 20+ users (minimum)\n At least 2 data sources (quant + qual)\n Specific, actionable goals\n Frustrations include frequency counts\n Design implications are specific\n Confidence level stated\nJourney Map Quality\n Scope clearly defined (persona, goal, timeframe)\n Based on real user data, not assumptions\n All layers filled (actions, touchpoints, emotions)\n Pain points identified per stage\n Opportunities prioritized\nUsability Test Quality\n Research questions are testable\n Tasks are realistic scenarios, not instructions\n 5+ participants per design\n Success metrics defined\n Findings include severity ratings\nResearch Synthesis Quality\n Data coded consistently\n Patterns based on 3+ data points\n Findings include evidence\n Recommendations are actionable\n Priorities justified"
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