Truchet is a market simulator that lets you pressure-test concepts, predict competitor reactions, and instantly see how the market could shift. Test launches, pricing changes, and counter-moves in minutes—all on a transparent platform built for marketers.
You model the market, build the panel, then run two kinds of research — studies on your content, scenarios on your strategy. Everything re-runs: change the input, run again, compare.
Brand DNA, the category in the customer's terms, positioning maps, and the competitor roster — AI drafts the frame and discovers the field; you correct it.
From a short brief, Truchet designs a spread of psychographically distinct synthetic consumers — reviewed and edited by you before anyone answers anything.
Concept tests, message tests, head-to-heads — reusable questionnaires your panel answers about your content. Scores, metrics, and verbatims per run, in minutes.
A move breaks in the market — a price cut, a launch, a repositioning, yours or theirs. Your panel re-splits its preference across the field; the shift is the answer. When it hurts, test a counter-move the same afternoon.
A synthetic panel is only as good as how it's built and how willing it is to disappoint you. Ours is built for both.
Every persona carries a hidden layer of eight psychological dimensions: need for cognition, ad skepticism, persuasion knowledge, and regulatory focus among them. Each grounded in peer-reviewed consumer research.
Part of every panel is built to distrust marketing. Preference is constant-sum — to win a point, someone has to lose it — and personas who refuse to move are reported as a finding, not smoothed into noise. Deliberate contradictions and distinct voices keep fifty personas from collapsing into one bot.
A chat window is one model agreeing with itself. Truchet runs several frontier models against each other — one challenges another's read before it ever reaches you, and the version that survives the disagreement is the one you see. No single model's blind spots, house voice, or urge to please gets through unchecked.
You walk into the decision with more than a hunch. Every AI draft wears a verify badge until you confirm it, every run is snapshotted and re-runnable, and every chart opens into verbatims and full conversation logs. We say it plainly: this is a directional simulation, not a forecast. Trust the directions, read the verbatims.
From strategic positioning to campaign execution, the platform supports every stage of the go-to-market workflow.
Understand how each psychographic segment responds to your core value claim. Identify which benefit framing resonates with whom — and which creates resistance you didn't anticipate.
Simulate how different segments read the price–value relationship across multiple offer configurations. Identify optimal anchoring, discount framing, and bundling logic before market exposure.
Go beyond demographics. Understand which psychographic profiles are most receptive to your offer — and discover segments you weren't targeting that show higher conversion potential.
Run campaign concepts, messaging variants, and creative territories through the panel before committing media spend. Predictive response by segment with attitudinal diagnostics.
Width and depth simultaneously. Speed and rigor at the same time. The old research trade-off no longer applies.
| Dimension | Truchet | Quick poll / survey | Full market research | Gut feel / intuition |
|---|---|---|---|---|
| Competitive move testing | ✓ Launches, price cuts, rival campaigns | × Can't | × Can't A/B a rival's move in-field | ~ Guessed |
| The "why" behind the number | ✓ Verbatim + reasoning per persona | × Numbers only | ✓ If qualitative | × None |
| Time to insight | ✓ Hours | ~ Days | × Weeks / months | ✓ Instant |
| Statistical rigor | ✓ High | × Low | ✓ High | × None |
| Psychographic depth | ✓ Validated dimensions | × Limited | ~ Depends on design | × None |
| Cost per study | ✓ Low | ✓ Very low | × High | ✓ Zero |
| Iteration speed | ✓ Unlimited | ~ Moderate | × Very slow | ✓ Unlimited |
| Methodology transparency | ✓ Every number opens into logs | ~ Limited | ~ Often black-box | × None |
| Bias / sycophancy control | ✓ Multi-model review + skeptic personas | × Acquiescence bias | ~ Moderator-dependent | × Confirmation bias |
The market will always tell you if your offer is wrong. The question is whether you learn that in a test — or at launch.