Persona Lab Documentation
Generate synthetic AI personas for focus groups, user testing, debates, and survey simulations.
Feature Reference
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Persona Generation
Create 3-100 AI personas from text prompts or data files.
- Generate from natural language descriptions or extract from CSV/XLSX/PDF data
- Big Five OCEAN personality scores for each persona
- Rich demographics: age, gender, location, education, income, occupation
- Custom attitudes, opinions, behaviors, and system prompts
- Multiple AI models: GPT-5.2 (default), GPT-5.1, o3, o4-mini with extended reasoning
- Save, load, rename, and mix persona models
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Focus Groups & Debates
Run group discussions with AI personas — moderated or free-form.
- 1-on-1 chat with individual personas for deep interviews
- Group chat with @mention routing and response budgets
- Structured debate simulation with multi-round discussions and moderator synthesis
- Consensus meter showing agreement level (0-1.0) with per-topic breakdown
- Dominance management to ensure balanced participation
- Data grounding: 3-level system (quoted, synthesized, generative) with % tracking
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Persona Survey Integration
Have AI personas respond to your surveys in-character for rapid testing.
- Send any survey to your persona model for synthetic response collection
- Personas answer based on their personality traits, demographics, and attitudes
- Compare synthetic vs. real responses for methodology validation
- Rapid iteration — test survey designs before deploying to real audiences
- Results flow into the same analytics dashboard as real responses
Common Persona Types
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Consumer Profiles
Shoppers with defined purchase behaviors, brand loyalties, and demographics for market research.
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Expert Panels
Domain specialists (doctors, teachers, engineers) for technical opinion gathering and Delphi studies.
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User Archetypes
Tech-savvy, novice, accessibility-focused users for UX testing and product feedback.
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Stakeholder Groups
Community members, government officials, NGO workers for policy impact simulations.
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