MiroFish helps teams turn customer evidence, market signals, product context, and assumptions into inspectable market research simulations. Use it to rehearse buyer reaction, compare segments, surface objections, and plan validation before committing fieldwork, launch spend, or roadmap decisions. The output is a research preparation layer, not a substitute for human evidence.
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.
A market research simulation platform helps teams rehearse customer, buyer, competitor, and channel reactions from a source pack before they run fieldwork or commit to a decision.
Simulation fits decisions where teams need to compare plausible reactions before spending money, including launch messaging, pricing, positioning, concept screening, market entry, and customer insight synthesis.
The platform should produce an inspectable record of source evidence, actor assumptions, reaction paths, weak claims, missing evidence, and the human research tasks required next.
Five-step workflow
Every step leaves something inspectable: the source, the actor assumptions, the reaction path, or the next human check.
Define the launch, pricing, positioning, concept, or customer insight decision and its evidence standard.
Bring customer, product, competitor, sales, support, and market evidence with assumptions clearly labeled.
Model buyer roles, users, skeptics, champions, competitors, channels, and adoption barriers.
Test messages, prices, concepts, segments, and market conditions without changing everything at once.
Convert output into interviews, survey items, experiments, analytics checks, and research owners.
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 can prepare research, expose assumptions, and organize hypotheses, but it cannot observe real behavior, measure prevalence, or prove what a target population believes.
Use interview notes, reviews, support tickets, sales calls, win-loss notes, product context, competitor evidence, survey findings, and clearly labeled assumptions.
Use it before fieldwork, before launch, before pricing or positioning decisions, and after new evidence arrives when the team needs to decide what to validate next.
Inspect source coverage, actor assumptions, missing evidence, consistency across variants, disagreement with human data, and whether the output creates clearer validation tasks.
Bring the current evidence, a bounded question, and the assumptions your team is willing to challenge.
Related methods and scenarios
Rehearse interview themes, objections, and follow-up questions before fieldwork.
Turn reviews, tickets, interviews, and sales notes into inspectable customer insight hypotheses.
Use the broader market simulation pillar for launches, pricing, competitors, and market entry.
