Persona Lab

Persona Lab Documentation

Generate synthetic AI personas for focus groups, user testing, debates, and survey simulations.

Feature Reference

👤

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
💬

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
📋

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.

👥

User Archetypes

Tech-savvy, novice, accessibility-focused users for UX testing and product feedback.

🏛️

Stakeholder Groups

Community members, government officials, NGO workers for policy impact simulations.

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