MPredict anythingMIROFISH 米罗鱼
MiroFish 米罗鱼/Digital Rehearsal 数字排练
Decision, operations, and stakeholder-response rehearsal

Digital Rehearsal

Digital Rehearsal数字排练

Use Digital Rehearsal to test a decision, launch, operational change, or response plan in a simulated environment before the real-world move creates cost, risk, or public pressure.

Scenario / Simulation view
Digital rehearsal for a high-stakes decision 高风险决策的数字排练
3 rounds
R1
Decision team 决策团队
Assumption is tested 假设被测试
R2
Stakeholders 利益相关者
Constraint appears 约束出现
R3
Operational constraints 运营约束
Response path changes 响应路径变化
Actors12+
Reaction paths24
Risk signals8
Inputs that make this useful

Bring evidence that gives the simulation a real boundary.

The best runs start with enough context for MiroFish to separate the decision, the actors, and the constraints.

Decision brief

Use the decision, memo, launch note, policy draft, pricing change, or scenario summary behind Digital Rehearsal.

Evidence notes

Add interviews, reports, support notes, competitor claims, public posts, or other context the actors should react to.

Constraint context

Include timing, audience, incentives, limits, and assumptions that should shape the simulated response.

Decision pressure this catches

See where the response starts to move.

Pressure 01

Assumption is tested

Watch how decision team respond when this signal appears, then inspect whether the path needs more evidence.

Pressure 02

Constraint appears

Watch how stakeholders respond when this signal appears, then inspect whether the path needs more evidence.

Pressure 03

Response path changes

Watch how operational constraints respond when this signal appears, then inspect whether the path needs more evidence.

Workflow

Turn a market question into a simulated response path.

Each use case page should show how MiroFish moves from seed material to actors, reactions, report structure, and follow-up questions.

Step 01

Frame the question

Define the decision seed so the simulation starts with a concrete job.

Step 02

Map actors and incentives

Turn source material into actors, constraints, relationships, and the assumptions worth reviewing.

Step 03

Run reaction rounds

Let decision team, stakeholders, operational constraints move through multiple rounds instead of compressing the answer into one guess.

Step 04

Read the next test

Use the report to find pressure signals, weak evidence, and the follow-up question that should be tested next.

Report Preview

The report makes pressure points visible.

Visitors should understand what they will inspect before they open the full MiroFish workspace.

Scenario report

Assumption map

  • First pressure signal
  • Actor movement
  • Assumptions to review

Risk paths

  • Reaction path
  • Objection cluster
  • Confidence boundary

Next rehearsal moves

  • Evidence to collect
  • Message to test
  • Follow-up prompt

What the report should answer

How to read the result.

  • Which digital rehearsal pressure signal appears first
  • Which actors amplify or redirect the path
  • Which assumption should be challenged before acting
  • Which follow-up question should be tested next

What it does not promise

Paths are not certainty.

  • Guaranteed revenue, vote share, scoreline, adoption, or public reaction
  • A substitute for customer research, field data, or accountable judgment
  • Live context unless you provide current source material
  • A final decision without reviewing the evidence boundary
Why structure matters

MiroFish gives the answer a shape you can inspect.

A normal chat answer can be useful, but this workflow makes the actors, reaction rounds, and assumptions easier to challenge.

Reasoning structure

Chatbot

One compressed answer

MiroFish

Actor graph and constraints

Reaction behavior

Chatbot

Advice summary

MiroFish

Multi-round paths

Reviewability

Chatbot

Hard to inspect after the answer

MiroFish

Report, assumptions, and follow-up questions

Related simulation paths

Compare this use case with nearby simulation paths.

MiroFish works best when the page matches the decision you need to rehearse. Use these related paths when the scenario overlaps with another actor model, planning method, or pressure surface.

Open the workspace

Run this use case in MiroFish.

Start simulation
FAQ

Questions before the simulation

What is Digital Rehearsal AI for?+

It helps teams rehearse a decision, launch, operational change, response plan, or strategy before acting in the real world, so assumptions, constraints, stakeholder reactions, and risk paths are easier to inspect.

How is digital rehearsal different from scenario simulation?+

Scenario Simulation AI focuses on modeling a specific scenario. Digital Rehearsal is broader: it uses scenarios, actors, constraints, and evidence to practice a decision path before execution.

Is digital rehearsal the same as a digital twin?+

A digital twin often models a real system with operational data. Digital Rehearsal can use digital twin context, but it also works with briefs, memos, stakeholder maps, uncertainty notes, and decision plans.

What inputs work best for digital rehearsal?+

Use a decision memo, project plan, launch brief, operating model, incident response plan, stakeholder map, forecast note, or risk register with the decision owner and expected action clearly stated.