How InstaSights produces your results

Test product ideas, names, messages, and prices using simulation models trained on real consumer survey data. We turn the generated responses into findings you can compare, inspect, and download.

Responses are simulated. New participants are not recruited for your study.

How a study works

250 simulated consumer responses · Up to 10 questions

  1. 01

    Your study

    Your brief, audience, and questionnaire define what the models will respond to. You review the setup before running it.

    Product contextAudienceQuestions and answer choices
  2. 02

    Simulated responses

    Third-party consumer models use those inputs to generate individual answers, drawing on patterns learned from survey data.

    Individual response data
  3. 03

    Your results

    The answers are analyzed into a summary, results for each question, and comparisons between audience groups.

    • Executive summary
    • Audience comparisons
    • Excel and CSV downloads
View a completed study

TRAINING DATA

Based on real consumer survey responses

The models are trained on data from consumer surveys to learn patterns in how people answer research questions. Your product context, audience information, and questionnaire provide the inputs for a new simulation.

You can use the results to compare concepts, narrow a list of names, refine a message, or examine reactions to a price before deciding what to test with customers.

EVIDENCE AND INTERPRETATION

How to judge the findings

Published evaluations compare simulated responses with human survey results. Check how closely the questions and audience match your study, and look at the differences in the answers.

See a published comparison

Importance of free returns when choosing an online retailer

Share agreeing that free returns are important
Human surveySimulation
76%88%

The simulated estimate is 12 percentage points higher. This comparison covers one question from a retail-returns study; it does not establish accuracy for every topic or audience.

2,007 human respondents and 2,007 simulated consumers. Source: a model-provider comparison with the Happy Returns / NRF 2024 survey.

Read the source report (PDF)

Use the results to guide further testing

Check question wording, response distributions, and group sizes before choosing between close results. Simulated preferences can help you decide what to investigate; actual sales, product use, and campaign performance require testing with people.

Read the evidence checklist

Start your first study

One complete study for $49.99