Turn customer evidence, product context, positioning, pricing, and launch constraints into an inspectable multi-agent scenario. See plausible reaction paths and evidence gaps before committing budget or fielding research.
Live decision rehearsal
Multi-role reaction path
Direct answers
Start with the evidence needed for the decision. Use simulation to expose uncertainty, not to hide it behind generated volume.
Synthetic audience simulation models how AI-generated actors may react to a product decision and influence one another across multiple rounds.
Teams can pressure-test messaging, pricing, proof, channel context, launch sequencing, competitor framing, and stakeholder reaction before rollout.
Use current first-party and market evidence rather than asking the model to invent the audience from a short demographic label.
Five-step workflow
Every step leaves something inspectable: the source, the actor assumptions, the reaction path, or the next human check.
Upload the evidence and decision context that should constrain the scenario.
Inspect audience groups, incentives, relationships, claims, and missing stakeholders.
Run interactions so objections, influence, and second-order effects can emerge.
Separate stable reaction paths from unsupported assumptions and generated precision.
Test the claims that would materially change product or GTM action.
Useful output makes the next decision or validation step more specific.
These boundaries apply even when the output looks detailed or consistent.
Frequently asked questions
No. It consists of AI-generated actors grounded in the sources and assumptions you provide.
It can expose plausible reactions and risks, but it cannot guarantee conversion, revenue, adoption, or representative market response.
A one-shot chatbot compresses the scenario into one response. MiroFish maps multiple actors and runs reaction rounds so interaction and second-order effects remain visible.
Run human research whenever a decision depends on actual customer language, behavior, prevalence, accessibility, willingness to pay, or representative measurement.
Bring the current evidence, a bounded question, and the assumptions your team is willing to challenge.
