Synthetic Personas & Focus Groups

Insights teams already spend a lot of time conversing with genAI, and everyone knows how it behaves: over-confident, quick to slip character, raising unprovoked and unmerited objections, correcting you on things you never said. Given this everyday experience, it may be difficult to imagine an AI that can respond like a living member of your target market and represent real-world perspectives.

Instead of genAI, consider AI technology that enables you to interview purpose-built, data-grounded personas tuned to answer as the market would, convened in minutes for a fraction of the room it replaces. Offerings range from prompt-built personas based on segment descriptions, digital twins calibrated to real survey or first-party data, and AI focus groups where synthetic respondents react, disagree, and build on one another. Platforms that once fielded surveys can now generate realistic respondents, too.

Including AI personas and digital twins, synthetic data is the fastest-growing method in the 2026 GRIT Insights Practice Report. The strongest offerings are grounded in real data and validated against humans; the weakest are confident fiction. It’s easy to tell the difference between replicant Roy Batty’s eloquent “tears in rain” monologue from Blade Runner and The Robot’s terse “Danger, Will Robinson!,” but both communicate important truths. On the other hand, it’s easy to imagine a response as eloquent as Batty’s that communicates complete nonsense. Which are which?

 Learn how conversations via this technology differ from genAI chats, what distinguishes the solution types, and why you can believe (or disbelieve) claims about it.

Who should attend?

• Research & insights buyers at any stage of evaluation
• Researchers seeking fast reactions to early-stage concepts
• Innovation & product teams iterating before committing budget
• Qualitative researchers weighing AI focus groups against traditional
• Brand & insights teams pressure-testing positioning & creative
• Insights leaders deciding where synthetic evidence is defensible