Babysitter Persona Development

Create and maintain user personas from research data for product targeting

install

source · Clone the upstream repo

git clone https://github.com/a5c-ai/babysitter

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/product-management/skills/persona-development" ~/.claude/skills/a5c-ai-babysitter-persona-development-69cf7c && rm -rf "$T"

manifest: library/specializations/product-management/skills/persona-development/SKILL.md

Persona Development Skill

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Retire outdated personas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 mapping
```
jtbd-analysis.js
```
- Jobs per persona analysis
```
feature-definition-prd.js
```
- Persona targeting in PRDs
```
product-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