Know What People
Actually Think.

ChatGPT predicts the next word. Ditto simulates how real people think and decide. Our digital populations are built on census data, behavioral patterns, cultural context, and live market signals. They carry the contradictions and complexity of real humans, not just the patterns of internet text.

A simulated population that mirrors a real one. Each persona is grounded in official statistics, behavioral data, cultural context, and live signals. These personas don't just answer questions individually. They discuss, debate, and challenge each other's perspectives, the way real people do in a room together.

Start with the Claude Code docs index at https://askditto.io/claude-code, then follow the full guide at https://askditto.io/claude-code-guide. Free-tier keys are issued at https://app.askditto.io/docs/free-tier-oauth and the API base URL is https://app.askditto.io.

Traditional research captures what people say. Ditto captures how they actually behave, including the gap between stated preferences and real decisions. Traditional panels are also slow, expensive, and episodic. Ditto is always on, so teams can iterate daily, compare markets side by side, and make decisions in days instead of months.

Concepts, messages, headlines, pack designs, RTBs/claims, naming options, creative variants, pricing/offer tests, and more. You can also bring segment definitions or customer data to condition the population. Claude Code workflows for these tests live at https://askditto.io/claude-code-guide.

Most concept or message tests return results in minutes. Large multi-market studies may take longer depending on scope.

Our populations are continuously fed with live market, cultural, and behavioral signals, including news, economic data, social trends, and even local weather. They live in the present, not in training data that was frozen months ago. When you ask a question today, you get answers that reflect today's reality.

Our personas don't just respond to questions in isolation. They engage in group discussions, challenge each other's views, shift their positions when persuaded, and surface disagreements, just like real participants in a focus group or town hall. This interaction produces richer, more realistic insights than individual responses alone.

The disconnect between what people claim they will do and what they actually do. Surveys capture stated intent. Ditto models both layers: the stated preference and the likely real-world behavior. The gap between them is where the most valuable insights live.

Currently: USA, Canada, UK, France, Germany, Spain, Italy, Turkey, Poland, Japan, South Korea, India, Mexico, Brazil.

Yes. We build constrained populations by role, industry, firmographics, or any other criteria, and validate against signals you share (pipeline mix, win/loss, CRM cohorts). For ultra-narrow groups, we emphasize repeatability and offer human bridge options for additional validation.

We run generalization checks, test-retest stability, and wording sensitivity analyses. Results are continuously aligned to real-world signals including sentiment data and market movements. Our populations are kept current with live feeds, so reliability doesn't degrade over time the way static panels do. EY Americas found 95% correlation with traditional research.

Absolutely. For regulated or high-stakes decisions, add our Human Bridge step: a small targeted human study to confirm directionality before you commit.

Every response comes with traceable rationales and segment-level drivers, so you can see the reasoning, not just the score. We constrain outputs to stay grounded in real population data and behavioral patterns, and flag areas where confidence is low rather than fabricating certainty.

Yes. Claude Code can create research groups, launch studies, ask questions, and poll for results using the Ditto API. Start at https://askditto.io/claude-code and follow the full workflow in https://askditto.io/claude-code-guide.

Clear scores and ranks, segment breakdowns, rationales and commentary, and a concise decision brief covering what to keep, cut, or change. Multi-market runs include country comparisons. You also see the say-do gap analysis: where stated preferences diverge from likely real behavior.

Yes. We securely ingest segment definitions, CRM cohorts, or past research summaries. We use them to condition the population or evaluate against your proprietary segments.

Legal compliance questions requiring jurisdiction-specific legal advice, safety-critical UX without human validation, ultra-novel stimuli with no grounding context, or claims requiring lab measurement. For these, use our Human Bridge or traditional research.

We use your uploads to run your tests and improve your private workspace performance. We do not sell your data or use it to train public models. Full DPAs and NDAs available.

For Claude Code, start at https://askditto.io/claude-code and follow the guide at https://askditto.io/claude-code-guide. For enterprise pilots, contact us to discuss your research needs. We'll design a solution that fits your team's requirements and timeline.

Typically by workspace (users/markets) plus usage (volume of tests). Pilots are fixed-fee. Enterprise packages include dedicated support and custom population development.