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Synthetic Users: the world's #1 synthetic research platform

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Synthetic Users: the world's #1 synthetic research platform
Simulate how any audience thinks, decides and reacts. Test a product, a message or a policy on synthetic respondents and see what they would do, and why, in minutes.
Every brain is a synthetic respondent. Click one to meet them.
Every brain is a synthetic respondent. Tap one to meet them.
Johan Van Langendonck
Director of Strategy, Bridgestone Mobility Solutions
Behavioural Scientist
Synthetic-organic parity in independent comparison studies. Measured across thematic overlap, depth & qualitative alignment.
Peer-reviewed papers supporting the synthetic research thesis. Incl. Science Magazine, The Atlantic, SAGE Journals.
Per typical interview, versus $80-120 with traditional research agencies. No recruitment fees, no scheduling overhead.
Your data is private and belongs to you alone. Measured across thematic overlap, depth & qualitative alignment.
Synthetic Users is designed as a discovery co-pilot, not a replacement for real research. Use it to front-load the problem space, fine-tune your questions, and spend your organic research budget where it matters most.
Map the problem space before committing to a full study. Run Problem Exploration interviews to surface user behaviors, pain points, and context — and arrive at organic research with better questions.
Test ideas, product concepts, and campaign messaging before launch. Use Concept Testing and Custom Script Interviews to get structured feedback on multiple directions in parallel — in minutes, not weeks.
Fill the gaps when traditional research is too slow, too expensive, or impossible to schedule. Run iterative validation studies throughout the product lifecycle — not just at milestone moments.
Synthetic Users isn’t a researchers-only tool. Our demo calls include PMs, marketing leads, agency owners, innovation managers, and engineering leads anyone whose decisions depend on understanding users.
Run problem-exploration interviews to surface user behaviors, pain points, and context — then arrive at organic research with sharper questions and stronger hypotheses. Spend your participant budget where nuance matters most.
Specify your target participant in as much detail as you need — demographics, behaviours, psychographics, profession. The more specific you are, the more specific your output. No recruitment or screener required.
Synthetic Users uses a multi-agent architecture where AI participants develop individual personality profiles based on the OCEAN model and maintain full context and continuity across every interview — the thing general AI tools can’t do.
The most common question we get is: how do we know it’s accurate? We’re very open about how we measure it, where we fall short, and how we improve. Here’s how we think about it.
WHAT THE RESEARCH SAYS
Here is a compilation of all the papers that help make a case for Synthetic Users.
When we compare different studies, especially looking at what synthetic (artificial interviews) and organic (real-world interviews) data tell us, we often find they mostly talk about the same things but there's also a bit where they don't match up. This gap is super interesting because it's like finding hidden treasure in what we thought we knew versus what we might have missed.
A paper that thoroughly executes a parity study between Synthetic and Organic users.
In the light of an ancient parable, we explore a new paper that dives into how ensembles of large language models match the prediction accuracy of human crowds. It reveals that combining machine predictions with human insights leads to the most robust forecasting results.
SCIENCE · SYNTHETIC USERS
Everyone else is wiring models together to chase superintelligence. We wire them together to rebuild something rarer: a human one. And like a real nervous system, it doesn't start at the cortex. It starts at the core.
Before polls opened in Brazil and the US, synthetic users made public calls on every race. Here is how they did, wins and misses.
Founding Team @Jeeves
Product Manager @Jeeves
Johan Van Langendonck
Director of Strategy, M&A and Partnerships at Bridgestone Mobility Solutions
Behavioural Scientist
The report includes an executive summary, key themes, verbatim participant quotes, and recommendations — formatted for stakeholder sharing. You can also drill into individual transcripts, ask follow-up questions, and annotate specific moments.
Our pro tip: start with a recent study you have top of mind and run it through Synthetic Users. Compare the outputs side by side. That’s the fastest way to build confidence in the method.
Age 29 · Austin, TX · Product Manager
Q1: Can you describe what a typical night shift looks like for you from start to finish?
shifts slightly in chair
Right, so I get to the ward around 9:45pm, bit early to get myself sorted before handover at 10. The day staff fill us in on what’s been happening with each patient — who’s had a rough day, new admissions, any special instructions from the doctors. Takes about twenty minutes usually.
Age 29 · Austin, TX · Product Manager
Q1: Can you describe what a typical night shift looks like for you from start to finish?
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