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MiroFish
AI scenario analysis

Scenario Analysis Tool

MiroFish is a scenario analysis tool for qualitative decision rehearsal. It helps teams compare what may happen when actors, constraints, relationships, and timing interact. Use it to inspect graph assumptions, simulation reports, and follow-up questions—not as a deterministic forecast or spreadsheet sensitivity model. The result should guide validation, not replace it.

Start scenario analysisSee the workflow
Not a statistically representative survey, customer panel, or deterministic prediction.

Live decision rehearsal

Multi-role reaction path

Inspectable
R1 · Decision ownerreaction
Frames the scenario and the question the report must answer.
R2 · Actor graphreaction
Shows which entities, relationships, and conflicts shape the analysis.
R3 · ReportAgentreaction
Explains the simulated path and answers follow-up questions.
R4 · Human reviewerreview
Separates useful hypotheses from claims that need real evidence.
Analysis signalActor assumptions, reaction paths, report claims, validation gaps

Direct answers

What should teams understand before they simulate?

Start with the evidence needed for the decision. Use simulation to expose uncertainty, not to hide it behind generated volume.

01

What is a scenario analysis tool?

It is software that helps teams compare possible futures or decision paths, usually by changing assumptions and reviewing likely consequences.

  • Decision framing
  • Scenario comparison
  • Assumption review
02

How is MiroFish different from Excel what-if analysis?

Excel is strongest for numeric sensitivity analysis. MiroFish is strongest for actor, relationship, narrative, and reaction-path analysis.

  • Qualitative actor dynamics
  • Graph and report workflow
  • Follow-up questions after the report
03

When should teams use MiroFish?

Use it when the outcome depends on how people, organizations, competitors, regulators, or public audiences may interpret a decision.

  • Launch and pricing decisions
  • Market entry and competitor response
  • Policy, public opinion, and stakeholder scenarios

Five-step workflow

How does the simulation move from evidence to action?

Every step leaves something inspectable: the source, the actor assumptions, the reaction path, or the next human check.

  1. 1

    Define the analysis question

    Name the decision, baseline, time horizon, actors, and output needed.

  2. 2

    Prepare the source packet

    Upload evidence, assumptions, constraints, and known disagreements.

  3. 3

    Review the graph

    Inspect actors, relationships, knowledge, conflicts, and missing context.

  4. 4

    Compare scenario runs

    Run the baseline and one controlled variant so differences are reviewable.

  5. 5

    Question the report

    Use follow-up questions to identify fragile claims and validation tasks.

What should the report give your team?

Useful output makes the next decision or validation step more specific.

  • Scenario comparison report
  • Graph-based assumption map
  • Follow-up answers about why paths diverged
  • Evidence checklist for decisions outside the simulation

What can this simulation not establish?

These boundaries apply even when the output looks detailed or consistent.

  • Scenario simulation produces hypotheses, reaction paths, assumptions, and validation questions, not a deterministic prediction.
  • MiroFish is not a spreadsheet sensitivity model, financial forecast engine, statistical survey, or representative customer panel.
  • Generated actors, graph relationships, report claims, and follow-up answers should be reviewed against the source packet and real-world evidence.
  • Validate consequential decisions with domain experts, customer or stakeholder evidence, market data, experiments, legal review, or accountable human judgment.

Frequently asked questions

What else should teams know?

Can MiroFish replace scenario planning workshops?

No. MiroFish can prepare and stress-test scenario thinking by turning source material into a graph, simulation rounds, a report, and follow-up questions, but accountable planning remains human.

What should teams upload before scenario analysis?

Use a focused source packet: decision memo, market context, product or policy brief, competitor evidence, stakeholder notes, constraints, assumptions, and the question to test.

What does the graph add to scenario analysis?

The graph makes actors, relationships, knowledge, constraints, and pressure points visible before the report becomes persuasive, so teams can review assumptions earlier.

How should teams use follow-up questions?

Use follow-up questions to inspect why the report reached a conclusion, which actors matter, what evidence is weak, and which real-world checks should come next.

Evidence → actors → reactions → review

Rehearse the decision before the market makes it expensive.

Bring the current evidence, a bounded question, and the assumptions your team is willing to challenge.

Start scenario analysis

Related methods and scenarios

Scenario Planning Software

Use MiroFish to turn source material into a graph, simulation rounds, prediction report, and follow-up questions.

How to Do Scenario Analysis with AI

Follow a practical workflow from source packet to graph review, simulation report, and validation plan.

Scenario Simulation AI

Run qualitative scenario simulations using actors, relationships, and evidence.