Speed and directional confidence matter more than perfect data.

Why simulated surveys work for early validation

Before you spend weeks building or thousands running research, you need to know one thing: Are you pointed in the right direction?

Method

Perfect data is not the goal. Better decisions are.

Most early decisions don't fail because the data wasn't precise. They fail because there was no signal at all.

    At the idea and concept stage:

  • You're choosing between options
  • You're testing assumptions
  • You're deciding what not to build
  • That doesn't require perfection. It requires direction

What "simulated surveys" actually are

Simulated surveys generate structured consumer responses by modeling how people with specific demographic and behavioral traits answer survey questions.

Responses

Responses are generated against persona models, not random text

Demographic

Demographic and similarity filters shape who the responses represent

Outputs

Outputs are normalized into ratings, distributions, and intent signals

This isn't chat output. It's structured decision input.

Simulated surveys vs traditional surveys

CriteriaSimulated SurveysTraditional Surveys
Need speed (Minutes)
Budget constrained
Early-stage decision
Final Validation
Output TypeDirectional InsightDefinitive Measurement

Both are useful. They are just useful at different times.

Start with Simulated Validation

When to use simulated surveys

When simulated surveys work best

Simulated surveys are ideal when you need to:

  • Validate ideas before building
  • Compare multiple concepts
  • Test early pricing or positioning
  • Prioritize features or directions

They help you narrow options quickly so you don't waste time validating the wrong thing.

When simulated surveys are NOT the right tool

Simulated surveys are not designed for:

  • Regulatory or compliance research
  • Academic or peer-reviewed studies
  • Final, investor-grade validation
  • Claims that require statistical certainty

They are a starting point, not the finish line.

You define What, Who and How

TestSynthia runs surveys against a 1M+ U.S.-based persona model, dynamically filtered by demographics and similarity

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