Interview
Ask source packet whether the strongest assumption is real.
Synthetic Customer Research
Synthetic Customer Research for evidence-led scenario rehearsal
Use MiroFish when customer hypotheses before real validation needs more than a one-shot answer. MiroFish uses seed material, named actors, reaction rounds, and structured reports; treat every run as decision support, not a guaranteed prediction.
Operating facts
Keep the limits visible before opening the console.
WorkflowMiroFish uses seed material, graph context, simulated source packet and synthetic panel, interaction rounds, and structured reports for synthetic customer research.
Decision boundaryA synthetic customer research run is decision support, not a guaranteed prediction.
Useful inputThe first useful synthetic customer research run needs source packet, synthetic panel, research handoff, timing, constraints, and the strongest contrary signal.
Scenario angle
The useful question is where customer hypotheses before real validation breaks.
For synthetic customer research, the page is worth its own route because the reader needs a bounded rehearsal around source packet, synthetic panel, research handoff. Start by asking which role can change the story first, then keep that role visible through the report review.
First run
Copy a bounded brief into MiroFish.
Run a synthetic customer research scenario. Use this source packet, the decision boundary, the actor roles, known objections, and the signals that would change the conclusion. Return reaction branches, weak assumptions, and one validation plan. Do not treat the report as a guaranteed outcome.
Validation plan
Turn output into real checks.
Evidence pull
Refresh facts that may have changed since the source packet was written.
Rerun
Change one assumption around customer hypotheses before real validation and compare the new branch map with the original.
Evidence choice
Pick source material that can be challenged later.
The first run should include source packet, synthetic panel, research handoff, timing, constraints, and the strongest contrary signal. If a source is old, ambiguous, or politically loaded, mark it before running synthetic customer research so the report does not treat a weak claim as settled.
Why MiroFish
Use a structured world instead of a loose answer.
| Need | General chat | MiroFish |
|---|---|---|
| Source packet behavior | One compressed explanation. | Named roles with incentives and memory. |
| Second-order effects | Often summarized too early. | Reaction rounds make synthetic panel changing the interpretation of customer hypotheses before real validation inspectable. |
| Review | Hard to trace after the answer. | Report, assumptions, and follow-up questions stay visible. |
Direct answer
Use this when the question depends on reactions, not only facts.
Synthetic Customer Research fits MiroFish when customer hypotheses before real validation could be changed by source packet, synthetic panel, or research handoff. The useful result is a branch map with weak assumptions and the next outside check, not a single confident verdict.
Outside check
Leave with one verification move, not a pile of guesses.
The best next step after a synthetic customer research run is to check source packet against research handoff before treating the branch as useful. That keeps the simulation useful without pretending it measured the real world.
Source packet
Bring the material that makes the run inspectable.
Start with source packet, synthetic panel, research handoff, 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 customer hypotheses before real validation.
Good packet
customer hypotheses before real validation; one time horizon; named roles; known constraints; and at least three signals to review after the first report.
Review owner
Name the person who can say the branch is weak.
Before using synthetic customer research output, assign one reviewer to challenge source packet, one to challenge synthetic panel, and one to decide whether research handoff changes the next action.
FAQ
Synthetic Customer Research FAQ
What should I prepare for synthetic customer research?
Prepare the decision boundary, source notes, actor roles, known objections, timing, and the signals that would change the result.
Can synthetic customer research 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