Persona Development
SkillDev toolsCreate and maintain user personas from research data for product targeting
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Then ask your AI: use the Persona Development skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/product-management/skills/persona-development/SKILL.md and read by ahel’s review.
Overview
Specialized skill for creating and maintaining user personas from research data. Enables product teams to develop rich, data-driven personas that guide product decisions and marketing strategies.
Capabilities
Persona Creation
- Generate persona profiles from research data
- Identify persona segments from analytics data
- Create jobs-to-be-done per persona
- Synthesize interview data into persona attributes
- Define demographic and psychographic profiles
Persona Management
- Update personas with new research findings
- Version and track persona evolution
- Validate personas against behavioral data
- Identify emerging persona segments
- Retire outdated personas
Persona Application
- Map personas to product features
- Calculate persona TAM/SAM estimates
- Generate persona comparison matrices
- Create persona-based user journeys
- Prioritize features by persona impact
Target Processes
This skill integrates with the following processes:
user-story-mapping.js- Persona-driven story mappingjtbd-analysis.js- Jobs per persona analysisfeature-definition-prd.js- Persona targeting in PRDsproduct-launch-gtm.js- Persona-based launch targeting
Input Schema
{
"type": "object",
"properties": {
"mode": {
"type": "string",
"enum": ["create", "update", "analyze", "map"],
"description": "Operation mode"
},
"researchData": {
"type": "object",
"properties": {
"interviews": { "type": "array", "items": { "type": "object" } },
"surveys": { "type": "array", "items": { "type": "object" } },
"analytics": { "type": "object" },
"supportTickets": { "type": "array", "items": { "type": "object" } }
},
"description": "Research data sources for persona creation"
},
"existingPersonas": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": { "type": "string" },
"name": { "type": "string" },
"description": { "type": "string" },
"attributes": { "type": "object" }
}
}
},
"segmentationCriteria": {
"type": "array",
"items": { "type": "string" },
"description": "Criteria for persona segmentation"
},
"productFeatures": {
"type": "array",
"items": { "type": "string" },
"description": "Features to map to personas"
}
},
"required": ["mode"]
}
Output Schema
{
"type": "object",
"properties": {
"personas": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": { "type": "string" },
"name": { "type": "string" },
"tagline": { "type": "string" },
"demographics": {
"type": "object",
"properties": {
"role": { "type": "string" },
"industry": { "type": "string" },
"companySize": { "type": "string" },
"experience": { "type": "string" }
}
},
"psychographics": {
"type": "object",
"properties": {
"goals": { "type": "array", "items": { "type": "string" } },
"frustrations": { "type": "array", "items": { "type": "string" } },
"motivations": { "type": "array", "items": { "type": "string" } },
"behaviors": { "type": "array", "items": { "type": "string" } }
}
},
"jobs": {
"type": "array",
"items": {
"type": "object",
"properties": {
"job": { "type": "string" },
"importance": { "type": "string" },
"currentSolution": { "type": "string" }
}
}
},
"quotes": { "type": "array", "items": { "type": "string" } },
"marketSize": {
"type": "object",
"properties": {
"tam": { "type": "string" },
"sam": { "type": "string" },
"som": { "type": "string" }
}
}
}
}
},
"featureMapping": {
"type": "object",
"description": "Mapping of features to personas with priority"
},
"comparisonMatrix": {
"type": "object",
"description": "Comparison of personas across key dimensions"
},
"recommendations": {
"type": "array",
"items": { "type": "string" }
}
}
}
Usage Example
const personas = await executeSkill('persona-development', {
mode: 'create',
researchData: {
interviews: [
{ id: 'int-1', role: 'Product Manager', painPoints: ['...'], goals: ['...'] },
{ id: 'int-2', role: 'Developer', painPoints: ['...'], goals: ['...'] }
],
analytics: {
userSegments: ['enterprise', 'smb', 'startup'],
behaviorPatterns: ['power-user', 'casual', 'admin']
}
},
segmentationCriteria: ['role', 'company_size', 'use_case']
});
Dependencies
- Research data formats
- Segmentation algorithms
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
persona-development- Source
- github.com/a5c-ai/babysitter
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