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AI scenario planning

Scenario Planning Software

MiroFish is scenario planning software for decisions where actors, relationships, timing, and interpretation matter. Upload a focused source packet, inspect the scenario graph, run simulation rounds, read the prediction report, and ask follow-up questions before turning uncertainty into real validation work. The workflow is built for strategic rehearsal, not automated certainty.

Not a statistically representative survey, customer panel, or deterministic prediction.

Live decision rehearsal

Multi-role reaction path

Inspectable
R1 · Source packetreaction
Defines the decision, actors, evidence, constraints, and assumptions.
R2 · Scenario graphreaction
Makes relationships, knowledge, conflicts, and missing context visible.
R3 · Simulation roundsreaction
Actors react across time so second-order effects can appear.
R4 · Report reviewreview
The team asks follow-up questions and converts uncertainty into validation tasks.
WorkflowSource packet → graph → simulation rounds → report → follow-up

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 does scenario planning software do?

It helps teams structure uncertainty, compare plausible paths, inspect assumptions, and prepare decisions before external events make changes expensive.

  • Source packet workflow
  • Graph-based actor review
  • Report and follow-up questions
02

Where does MiroFish fit?

MiroFish fits when a scenario depends on actors interpreting and reacting to a decision, not just numeric inputs in a spreadsheet.

  • Strategic decisions
  • Public reaction and stakeholder dynamics
  • Market, pricing, launch, and policy scenarios
03

What should teams validate afterward?

Validate the claims that would change the decision, including actor assumptions, evidence gaps, timing risks, and response options.

  • Human review
  • Market or stakeholder evidence
  • Monitoring signals and stop conditions

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

    Upload source material

    Provide the decision packet, context, actors, constraints, and assumptions.

  2. 2

    Inspect the graph

    Review nodes, relationships, knowledge, conflicts, and missing actors before simulation.

  3. 3

    Run simulation rounds

    Let actors respond across time and observe second-order paths.

  4. 4

    Read the prediction report

    Review the narrative, pressure points, likely paths, and evidence gaps.

  5. 5

    Ask follow-up questions

    Question assumptions, winners, risks, weak evidence, and next validation steps.

What should the report give your team?

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

  • Inspectable actor and relationship graph
  • Scenario simulation report with reaction paths
  • Follow-up answers about assumptions and evidence gaps
  • Validation tasks for accountable human review

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.

Run a scenario simulation