
Best AI Market Research Tools: The 2026 Buyer's Guide
The market research industry is experiencing its biggest transformation in 70 years. In 2026, AI tools can do in hours what traditional research took months to accomplish—and at a fraction o...
Tag: Methodology
Understanding how synthetic research works is essential for trusting the results. These articles explain the science behind Ditto's methodology, from persona calibration to response validation.
We believe in transparency. These pieces cover how synthetic personas are built, how they generate authentic responses, and how their outputs compare to traditional research methods. No black boxes here.
What You'll Discover
Explore our methodology content below to understand the science behind synthetic consumer research.

The market research industry is experiencing its biggest transformation in 70 years. In 2026, AI tools can do in hours what traditional research took months to accomplish—and at a fraction o...

Every market researcher knows the tension: you need consumer insights tomorrow, but recruiting qualified respondents takes weeks. You need honest answers about sensitive topics, but social d...

Market research has always faced the same fundamental constraint: to understand human behavior, you need humans. Recruiting them takes time. Getting honest answers is difficult. Reaching cer...

In 1948, researchers asked Americans two questions:...

Market research has always had an awkward job. It is expected to be fast, cheap, statistically pristine, globally representative, and emotionally insightful—preferably by Friday. In practice...

We asked 500 synthetic Americans—calibrated synthetic personas spanning ages 21 to 88, from Erie to San Diego, from students to retirees—one open question: ...

Your survey says 85% of customers love your new feature. Your sales data says nobody's using it. What went wrong? ...

Survivorship bias is the logical error of focusing on things that made it past some selection process while ignoring the things that didn't. It makes success look simple and failure invisibl...

Social desirability bias is one of the most stubborn problems in market research, social science, and consumer insights. It's the tendency for people to answer questions in ways that make th...

A practical classification system for synthetic personas, from prompt-only profiles to interactive multi-agent societies....

Synthetic market research is full of confident-sounding phrases that are often used imprecisely. Some are borrowed from engineering, others from statistics, and a few from marketing departme...

Synthetic market research is a rapidly growing field that makes it very easy for individuals to perform accurate market research, at scale, in minutes....

Synthetic market research is a new way to answer an old question: ...

The technical blueprint for cognitively grounded synthetic personas...

When we first started work on Ditto, it was clear to us from the very beginning that while we were building a software product based on solid scientific principles, we needed to make sure to...

There's a pattern that shows up across business: when faced with a problem, we default to physical or engineering solutions when psychological ones would work better. Call it the physical fa...

A breakthrough study confirms what we've been building: AI models trained on human behavior can predict how people think, choose, and act across entirely new situations. The implications for...

When we introduce Ditto to people, one of the most common questions we get is: “How can an AI possibly understand what people actually want?” It’s a fair question. But it shows that a fundam...

Your product team analyzed feedback from your latest user interviews. Everyone said the new feature was exactly what they needed. Priority number one. Can't live without it....

There's a dirty secret in cheap synthetic research: when you ask an LLM to rate purchase intent on a 1-5 scale, it lies....

Each fall and winter, many retailers and analysts publish smart forecasts about what we will eat and why, in the coming year....

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