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Methodology

How it works, and where it stops.

We would rather you trust this tool for the right reasons than oversell it. Here is what happens under the hood, what it is genuinely useful for, and the honest limits you should hold it to.

The five steps, in plain terms

A survey, a panel, a distribution.

  1. When you start a study, your idea and decision go through a quick specificity check: a lightweight AI pass that flags vague inputs before you spend anything.
  2. From your description we infer a plausible target audience, which you then correct: markets, ages, roles, and how sceptical the panel should be.
  3. A short structured survey is generated for your specific decision.
  4. Each simulated persona answers it independently, shaped by the audience profile you set, and can be probed with follow-up questions.
  5. Their responses are aggregated into a decision memo: the verdict, the evidence, the strongest objection, the segment that cares most, and the one test to run next.
Why a panel beats a single answer

Ask one model one question and you get one confident answer that shifts every time you re-ask. A panel does something different: it holds the survey and the audience constant, varies the personas, and reports the distribution. A spread of fifty responses is harder to fool, and it tells you where the doubt sits.

What this is good for
  • Killing weak ideas early, before you build
  • Finding which segment cares most
  • Comparing messaging, framing or names
  • Sniffing out a price ceiling
  • Surfacing the objection you will have to answer
  • Deciding what is worth testing for real
What it is not
  • A substitute for talking to real customers
  • A source of true market-size numbers
  • A predictor of exact conversion rates
  • A reason to skip a live experiment
  • Reliable for niche B2B where personas are thin
  • The final word on anything you are betting the company on
How to read the confidence signals

Go, conditional go, no.

Every memo carries a verdict and a confidence level. Treat a Go as "worth building a real test around", a Conditional go as "works for a segment under a condition, confirm the condition", and a No as "reshape it or drop it before spending".

Where the persona behaviour comes from

Personas are grounded in the audience settings you provide and any reference pages you attach for extra context. Their responses reflect broad, well-documented patterns in how people react to new offers: enthusiasm that fades at the price, scepticism from people who already have a workaround, the questions a careful buyer asks. They are not a census of any real market.

The one-sentence version

Use Indizilla Research to decide, quickly and consistently, what is worth testing for real. Then go test it for real.

Put a decision through it.

You will know within minutes whether it is worth a week of real research, or a rethink.

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