MiroFish

Synthetic Persona Research

Synthetic Persona Research for evidence-led scenario rehearsal

Use MiroFish when persona-led interviews with explicit evidence limits 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.

Synthetic Persona Research scenario map with actors, reaction rounds, and validation signals
Synthetic Persona Research starts with evidence, not a guess.

Operating facts

Keep the limits visible before opening the console.

WorkflowMiroFish uses seed material, graph context, simulated persona layers and interview script, interaction rounds, and structured reports for synthetic persona research.
Decision boundaryA synthetic persona research run is decision support, not a guaranteed prediction.
Useful inputThe first useful synthetic persona research run needs persona layers, interview script, cohort pattern, timing, constraints, and the strongest contrary signal.

Scenario angle

The useful question is where persona-led interviews with explicit evidence limits breaks.

For synthetic persona research, the page is worth its own route because the reader needs a bounded rehearsal around persona layers, interview script, cohort pattern. Start by asking which role can change the story first, then keep that role visible through the report review.

Signals

Decide what would change the next run.

SignalWhy it mattersNext action
Persona layers repeats the same objectionThe issue may be structural rather than wording.Strengthen proof or change the decision.
Interview script reacts after one source changesThe path depends on a volatile fact.Refresh the source before using the result.
Cohort pattern blocks the pathThe rollout may need sequencing.Run a narrower check around persona-led interviews with explicit evidence limits.

Why MiroFish

Use a structured world instead of a loose answer.

NeedGeneral chatMiroFish
Persona layers behaviorOne compressed explanation.Named roles with incentives and memory.
Second-order effectsOften summarized too early.Reaction rounds make interview script changing the interpretation of persona-led interviews with explicit evidence limits inspectable.
ReviewHard to trace after the answer.Report, assumptions, and follow-up questions stay visible.

Evidence choice

Pick source material that can be challenged later.

The first run should include persona layers, interview script, cohort pattern, timing, constraints, and the strongest contrary signal. If a source is old, ambiguous, or politically loaded, mark it before running synthetic persona research so the report does not treat a weak claim as settled.

Source packet

Bring the material that makes the run inspectable.

Start with persona layers, interview script, cohort pattern, 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 persona-led interviews with explicit evidence limits.

Good packet

persona-led interviews with explicit evidence limits; one time horizon; named roles; known constraints; and at least three signals to review after the first report.

Report preview

A useful report makes pressure points visible.

Reaction path

Which of persona layers, interview script, cohort pattern moves first, which group amplifies the issue, and what evidence changes the path.

Assumption register

What the simulation inferred about persona-led interviews with explicit evidence limits, what the source actually supports, and what remains unknown.

Follow-up question

The next prompt should change one condition, not restart the whole scenario.

Outside check

Leave with one verification move, not a pile of guesses.

The best next step after a synthetic persona research run is to check persona layers against cohort pattern before treating the branch as useful. That keeps the simulation useful without pretending it measured the real world.

Human review

Give reviewers a concrete job.

Domain owner

Checks whether actors and constraints match reality.

Evidence owner

Checks whether the source packet supports the strongest claims.

Decision owner

Decides which branch changes the plan.

Review owner

Name the person who can say the branch is weak.

Before using synthetic persona research output, assign one reviewer to challenge persona layers, one to challenge interview script, and one to decide whether cohort pattern changes the next action.

FAQ

Synthetic Persona Research FAQ

What should I prepare for synthetic persona research?

Prepare the decision boundary, source notes, actor roles, known objections, timing, and the signals that would change the result.

Can synthetic persona 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

Continue with the closest MiroFish workflow.