100% Completion Rate
Eliminate drop-offs and incomplete answers. Every synthetic respondent provides a thoughtful, complete response every time.
Synthetic Surveys
Collect structured and open-ended responses from a defined synthetic audience. Review charts and analysis directly in the app, or export raw responses as CSV for further research.
- Flexible question types
- Defined respondent segments
- Charts and in-app analysis
Human context, synthetic scale
Compare responses. Understand the reasons.
Explore how a defined synthetic audience responds to a concept, proposition or research question. Combine structured questions with open-ended answers, then review charts and analysis within the app. Export the raw responses as CSV when you want to investigate further in Data Analysis or your own research tools.
Built for iterative researchFrom research question to response data.
Define the segment, review the questionnaire and collect a dataset you can inspect and use in your wider research.
- 01
Define the respondent pool
Describe the audience in natural language and review the segment's attributes and distributions. Make sure the synthetic sample reflects the audience you intend to explore.
- 02
Prepare the questionnaire
Write your own questions or generate a questionnaire from your research objective. Review the wording and choose question types, from multiple choice and rating scales to open-ended responses.
- 03
Review charts and analysis
Review completed responses with charts and analysis directly in the app. You can also export the raw data as CSV for further investigation in Analyze or your own tools.
Built to answer the next question.
Each capability is designed for a living research process: form a hypothesis, inspect the response, then go deeper without rebuilding the study.
Zero Bias or Fatigue
Get consistent, high-quality data. Our Synthetic Segments answer each question with fresh context, free from interviewer bias or survey fatigue.
Reach Niche Audiences
Instantly survey hard-to-reach segments—from C-suite executives to specialized medical professionals—without recruitment headaches.
Charts and In-App Analysis
Review survey results with charts and analysis in the app, alongside structured ratings and open-ended responses. Export the raw dataset as CSV when you need further analysis.
Put the method to work.
Start with a real decision, not a blank canvas. These are the questions teams bring to this method most often.
Quickly survey a massive, diverse population to validate market size, identify key demographic segments, and profile psychographic traits.
Test multiple versions of ad copy, value propositions, or product descriptions at scale to find the message that resonates most powerfully.
Benchmarking synthetic research against people, across four product lines.
An anonymous FMCG leader tested packaging, shelf execution, and flavor prioritization with SYMAR. Packaging produced useful benchmarked signals; shelf research sharpened execution questions; flavor ranking still required stronger grounding and human validation.
- synthetic study records, not unique respondents
- 4,300
- Product A rating measures within 0.28 scale points
- 8 of 9
- product lines benchmarked against human evidence
- 4
Read the FMCG case study“That gave us a practical basis for deciding when to use synthetic research and when to calibrate further.”
Good to know.
What is a Synthetic Survey?
A Synthetic Survey is a quantitative research tool that allows you to collect data from AI-generated personas instead of real human participants. By simulating thousands of respondents who match your target demographics, you can gather statistically significant data on market trends, product preferences, and brand sentiment. The primary advantage is speed and cost. You can launch a study and receive thousands of responses in minutes rather than waiting weeks for traditional fieldwork.
How do I define the audience for my survey?
You define your audience using our Synthetic Segments feature. You can simply describe your target market in natural language, such as “Urban millennials in the UK who prioritize sustainability,” and the system will auto-generate a population of unique personas to match. You have precise control over the distribution of variables like age, income, and education to ensure your sample is statistically representative of the real world.
Do I need to write the survey questions myself?
You have two options. You can write your own questions if you have a specific hypothesis to test, or you can use our AI Questionnaire Generator. Simply input your research goal, and the system will build a professional-grade survey for you. We support over 10 different question types, including multiple-choice, rating scales, and open-ended responses, ensuring you can capture the exact data you need.
Will all the Synthetic Respondents give the same answer?
No. Our underlying models are designed to simulate human diversity and probabilistic decision-making. We specifically engineer the system to avoid “averaging” out responses. Each synthetic respondent in your segment has a unique background, set of values, and personality traits. This results in a realistic distribution of answers that includes conflicting opinions and outliers, mirroring the complexity of a real human panel.
What kind of data will I get back?
You receive the responses to your questionnaire, including structured answers and open-ended explanations where requested. Charts and analysis are available directly in the app to help you review the results. You can also export the raw responses as CSV for statistical analysis or use in other research tools.
Can I view charts and analyze results in the app?
Yes. Synthetic Surveys includes charts and analysis in the app, so you can review results without exporting them first. CSV export remains available if you want to work with the raw responses in Analyze or your own tools.
Other ways to research.
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