Cohort

Multi-Agent Market Validation
using Synthetic Personas

Validate your product ideas with AI personas in minutes, not weeks. A multi-agent system that simulates diverse consumer segments to test market viability before you invest.

> Synthetic Personas

Generate realistic virtual consumers with multi-dimensional attributes:

  • • Demographics (age, location, income)
  • • Life stage (household, housing)
  • • Psychographics (purchase priority, risk attitude)
  • • Behaviour (channel preference, info gathering)

> Multi-Model Execution

Run identical surveys across GPT, Claude, and Gemini in parallel:

  • • Same survey design executed on each model
  • • Agreement → high-confidence insights
  • • Divergence → hypotheses requiring verification
  • • ~80% alignment with human responses

> How It Works

01

User Input

Product overview, target market, and hypotheses

02

Plan Agent

Designs validation plan and question sets

03

Orchestrator

Assembles persona groups and distributes tasks

04

Multiple Personas

Each persona independently evaluates your concept

05

Analysis Agent

Hierarchical aggregation and pattern extraction

06

Report

Structured market validation report delivered

> Use Cases

Initial hypothesis exploration

Collect diverse reactions at low cost

Question design pre-testing

Validate survey items before main study

Segment reaction hypotheses

Narrow down verification targets

Competitive positioning

Evaluate differentiation from persona perspective

Pricing sensitivity testing

Simulate segment acceptance of price points

> Metrics

Unlimited

Synthetic persona count

~80%

Human response alignment

<5 min

Validation completion time

95%+

Context reduction via hierarchical aggregation

> Recommended for

  • ✓ Early hypothesis exploration
  • ✓ Survey design pre-testing
  • ✓ Segment reaction hypothesis generation
  • ✓ Rapid iteration on concepts

> Not suited for

  • ✗ Sole basis for final decisions
  • ✗ Complete replacement for human research
  • ✗ Statistically rigorous market studies
  • ✗ Regulatory-compliant research

Frequently Asked Questions

[+] What are synthetic personas?
Synthetic personas are AI-generated virtual consumers with realistic demographic, psychographic, and behavioural attributes. They simulate how diverse consumer segments might respond to products, services, or concepts – enabling rapid market validation without recruiting real participants.
[+] Which LLM models are supported?
Cohort currently supports GPT (OpenAI), Claude (Anthropic), and Gemini (Google). The same survey is executed across all models in parallel, with cross-model agreement indicating high-confidence findings and divergence highlighting areas requiring further human verification.
[+] How reliable are the results?
Research shows approximately 80% alignment with human response patterns for main effects. Results are best used for hypothesis generation and early-stage validation, not as a sole basis for final business decisions. Cross-model consensus provides an additional reliability signal.
[+] How does this differ from traditional surveys?
Traditional surveys require participant recruitment, incentive management, and days-to-weeks of fieldwork. Cohort generates responses in minutes at a fraction of the cost. It complements – rather than replaces – human research by rapidly narrowing hypotheses before committing to full studies.
[+] How is data privacy handled?
No real consumer data is collected or stored. All personas are synthetically generated and do not correspond to actual individuals. Your product concepts and validation results remain private and are not used to train any models.