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Jev Synthetic Persona Survey

A prototype uses Jev to simulate responses from fictional product personas. These are model outputs, not customer research.

Added to Jevfast

How it uses Jev

The prototype sends twelve product-adoption questions through the API for each of 150 fictional personas, using Jev to simulate their responses. These are synthetic model outputs, not customer research.

App workflow

  1. Define fictional personas

    The prototype prepares 150 fictional personas.

  2. Ask adoption questions

    It sends twelve questions per persona through the API.

  3. Collect simulated responses

    Jev outputs are treated as simulated persona responses, not evidence from real customers.

Why it is interesting

It applies a repeated questionnaire across a persona set and reports low cost and short runtime, while keeping the synthetic nature of the results clear.