FAQs
Common questions
Quick answers on accuracy, bias, privacy, and methodology.
How accurate are Synthetic Users?
Our platform is grounded in your own data — customer interviews, support tickets, segment definitions — so the synthetic participants reflect the people you actually serve. Peer-reviewed papers in /science detail our methodology and benchmarks.
How do you handle bias?
Bias is a first-class concern. We expose it explicitly via segment-level checks, and our methodology notes (in /science) describe the controls and their trade-offs.
What happens to my data?
Your data stays yours. We process it to generate participants for your studies; we don't train shared models on it. See /privacy-policy and /dpa for the legal detail.
Can I run a study without recruiting?
Yes — that's the entire point of the platform. Define an audience, write a topic guide, and start a study. No panels, no scheduling.
How do I get started?
Book a demo and we'll walk you through your first study end-to-end.