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Digital twins

Fairgen

Twins

Simulated respondents from partner audiences or your own quantitative and qualitative research.

Product category

Digital twins

Use cases

Concept testing / Exploratory interviews

Data grounding

Fairgen describes individual-level panel data and optional interview transcripts as inputs.

Access & pricing

Contact sales. Discuss scope with provider.

Fairgen's published audience-selection interface with study categories
Product view: Fairgen. Provider-supplied illustration

Research method

Twin-based studies and follow-up conversations

The Twins workflow documents structured questions across multiple digital twins, quantitative and qualitative outputs in a report, and subsequent chat with an individual twin.

Fairgen Twins: product and FAQs

Validation evidence

No product-specific performance result in the sources listed here.

Documented scope

Use directional output accordingly

Fairgen's public material says generative synthetic respondents can support early ideation and exploration but are not a substitute for statistical inference. Its Twins documentation directs decisions needing statistical confidence to fieldwork.

Fairgen: Google synthetic-data pilot summary Fairgen Twins: product and FAQs

Grounding depends on the available research

Fairgen says Twins cannot model an audience when it has no relevant market audience or original research data. The company says more relevant data can improve its answers.

Fairgen Twins: product and FAQs

Method and evidence sources

  1. Fairgen Twins: product and FAQs · Provider product documentation
  2. Fairgen: Google synthetic-data pilot summary · Provider-reported study summary

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