Frequently asked questions.

A Rehearsal is a business decision simulated with your customers. You bring a question, Rehearsals runs it with a defined audience of AI twins, and your team gets a decision-ready report back in under an hour.

A Rehearsals AI twin is a model of one real, consenting person. It is built from recorded video and voice interviews, structured data, and lived context so it responds like that individual, not like an average demographic persona.

Chat with the research agent to build the outline, watch simulations run across the audience, and get a collaborative report back in under an hour. You can then ask the same cohort follow-up questions without recruiting anyone again.

Teams use Rehearsals for creative, messaging, pricing, concepts, product and UX screens, conversion, churn, competitive moves, and audience discovery. If customers can react to it, it can usually become a Rehearsal.

You get a collaborative report with topline findings, segment-level differences, individual verbatims, and the ability to ask follow-ups. Your team can comment inline and continue working with the same cohort.

They come from Rehearsals Research, our first-party panel across 14 global markets. We own the participant relationship, consent, source interviews, twin, and reporting chain end to end.

Every participant completes a live video and voice interview. An AI screening pass removes clear failures, and every interview admitted to the panel is then reviewed by a human. Participants are continually refreshed and, on average, take 5+ interviews every quarter.

We recruit it free, typically within five days and subject to feasibility. New participants are interviewed on camera, verified, and added to the panel before their twins are used.

Yes. Participants are told visually and verbally that their interviews will be used to build an AI twin that answers research questions on their behalf. Twin outputs are text; Rehearsals does not generate synthetic audio or video of participants.

Yes. The Rehearsals API can bring audience simulation into applications and high-volume workflows. MCP and integrations with tools such as Slack, Teams, Claude, and ChatGPT are also available for connected workflows.