Research lead
Give this role a motive, information limit, and likely objection so the simulation can produce a reaction you can challenge.
AI Market Research Platform
AI Market Research Platform for evidence-led scenario rehearsal
Use MiroFish when research planning across interviews, surveys, and synthetic rehearsal depends on research lead, audience, and evidence reacting differently. Bring seed material for research lead, run reaction rounds around audience, and review evidence changes as decision support, not a guaranteed prediction.
Operating facts
Keep research lead and audience limits visible before opening the console.
Research lead workflowSeed material and graph context let research lead and audience react inside a bounded MiroFish world.
Audience boundaryTreat audience reactions as decision support, not as a guaranteed prediction.
Useful inputThe first useful run needs research lead, audience, evidence, timing, constraints, and the strongest contrary signal.
Scenario readiness check
Check whether the research lead brief is ready for a MiroFish run around research planning across interviews, surveys, and synthetic rehearsal.
Use this quick tool before opening the console for research lead and audience. A strong first run names evidence, the pressure point, a review owner, and one outside validation move.
Preparation detail
Give research lead enough context to produce a useful disagreement.
For research planning across interviews, surveys, and synthetic rehearsal, begin with the moment when research lead can change the path. Add what audience already knows, what evidence might ignore, and which constraint would make the decision reversible. A narrow research lead brief helps the report produce disagreement you can inspect instead of a smooth audience story that feels confident but cannot guide the next action.
Use concrete material from research lead, audience, evidence, timing, constraints, and the strongest contrary signal and label the parts that are still weak. If the research lead note is old, the audience move is speculative, the evidence source is ambiguous, or the signal came from a small sample, say that directly. MiroFish can then keep strong evidence separate from convenient assumptions while it builds reaction rounds.
Before acting, compare the report with audience changing the interpretation of research planning across interviews, surveys, and synthetic rehearsal and then check research lead against evidence before treating the branch as useful. That outside check for evidence should be small enough to complete quickly: one customer call, one support search, one analytics pull, one expert read, or one revised prompt with a single changed condition. The point of the first run is to improve judgment, not to outsource it.
MiroFish uses seed material from the brief to keep research lead, audience, and evidence anchored to the same facts. For research planning across interviews, surveys, and synthetic rehearsal, that means the report should show which claim each actor accepted, which claim each actor resisted, and which missing detail changed the branch. If the report cannot name those links, improve the input before spending attention on a larger run.
Notebook prompt: ask research lead what would make research planning across interviews, surveys, and synthetic rehearsal feel urgent, ask audience what proof would be dismissed, and ask evidence which missing fact would reverse the branch. Then record the exact research lead sentence in the report that changed your confidence. If no sentence changes confidence, the next move is not a bigger run; it is a better source packet, a narrower actor list, or a validation check outside the tool.
Scenario angle
The useful question is where research planning across interviews, surveys, and synthetic rehearsal breaks.
This page is worth its own route because the reader needs a bounded rehearsal around research lead, audience, evidence. Start by asking which role can change the story first, then keep that role visible through the report review.
Source packet
Bring the material that makes the run inspectable.
Start with research lead, audience, evidence, timing, constraints, and the strongest contrary signal. MiroFish works better when each claim can be traced back to a source or an explicit assumption, especially when the run is about research planning across interviews, surveys, and synthetic rehearsal.
Good packet
research planning across interviews, surveys, and synthetic rehearsal; one time horizon; named roles; known constraints; and at least three signals to review after the first report.
Signals
Decide what would change the next run.
| Signal | Why it matters | Next action |
|---|---|---|
| Research lead repeats the same objection | The issue may be structural rather than wording. | Strengthen proof or change the decision. |
| Audience reacts after one source changes | The path depends on a volatile fact. | Refresh the source before using the result. |
| Evidence blocks the path | The rollout may need sequencing. | Run a narrower check around research planning across interviews, surveys, and synthetic rehearsal. |
Evidence choice
Pick source material that can be challenged later.
The first run should include research lead, audience, evidence, timing, constraints, and the strongest contrary signal. If a source is old, ambiguous, or politically loaded, mark it before opening the console so the report does not treat a weak claim as settled.
Hard facts
Keep the operating limits visible.
Research lead workflowSeed material and graph context let research lead and audience react inside a bounded MiroFish world.
Audience boundaryTreat audience reactions as decision support, not as a guaranteed prediction.
Useful inputThe first useful run needs research lead, audience, evidence, timing, constraints, and the strongest contrary signal.
Why MiroFish
Use a structured world instead of a loose answer.
| Need | General chat | MiroFish |
|---|---|---|
| Research lead behavior | One compressed explanation. | Named roles with incentives and memory. |
| Second-order effects | Often summarized too early. | Reaction rounds make audience changing the interpretation of research planning across interviews, surveys, and synthetic rehearsal inspectable. |
| Review | Hard to trace after the answer. | Report, assumptions, and follow-up questions stay visible. |
Outside check
Leave with one verification move, not a pile of guesses.
The best next step after the first report is to check research lead against evidence before treating the branch as useful. That keeps the simulation useful without pretending it measured the real world.
Actor map
Separate the people and pressures before the first round.
Audience
Give this role a motive, information limit, and likely objection so the simulation can produce a reaction you can challenge.
Evidence
Give this role a motive, information limit, and likely objection so the simulation can produce a reaction you can challenge.
Review owner
Name the person who can say the branch is weak.
Before using the output, assign one reviewer to challenge research lead, one to challenge audience, and one to decide whether evidence changes the next action.
FAQ
AI Market Research Platform FAQ
What should I prepare for ai market research platform?
Prepare the decision boundary, source notes, actor roles, known objections, timing, and the signals that would change the result.
Can ai market research platform replace real evidence?
No. Use it to generate hypotheses, pressure points, and validation questions, then confirm important claims with real data or accountable review.
What does MiroFish return?
A structured report with reaction paths, weak assumptions, evidence gaps, and follow-up questions you can challenge.
When should I rerun it?
Rerun after changing one important assumption, such as the actor list, timing window, evidence strength, or public message.
Next paths