What-if scenario analysis examples include changing a launch date, price, market entry sequence, policy announcement, competitor move, or public message and then comparing how actor reactions change. In MiroFish, teams use source material, a scenario graph, simulation rounds, prediction reports, and follow-up questions to review those differences.
Definition
What is a good what-if scenario analysis example?
A good example changes one meaningful assumption while keeping the source packet, actors, review criteria, and decision question stable.
If every variable changes at once, the report becomes a story instead of an analysis. MiroFish works best when each variant has a clear reason to exist and the graph can show which actors or relationships changed.
Examples
Which what-if scenarios can teams simulate?
Teams can simulate what-if variants for launch timing, pricing, market entry, policy communication, competitor response, and public reaction.
| Scenario | What changes | What to inspect |
|---|---|---|
| Product launch | Launch date, audience, promise, or channel | Adoption friction, competitor response, proof gaps |
| Pricing change | Price, package, discount, or proof | Buyer objections, procurement pressure, validation tasks |
| Market entry | Region, partner, sequence, or positioning | Local constraints, incumbent response, channel risk |
| Policy announcement | Timing, wording, affected group, safeguard | Trust, backlash, escalation, consultation gaps |
Workflow
How should teams compare what-if variants?
Run variants with consistent sources and actors, then compare graph changes, report claims, follow-up answers, and validation priorities.
- 1
Define the baseline
Record the current scenario, source packet, actor graph, and decision question.
- 2
Change one assumption
Adjust only timing, price, message, actor, channel, or constraint.
- 3
Run the simulation
Generate reaction rounds and read the prediction report for the variant.
- 4
Ask follow-up questions
Question why the variant changed, which actors mattered, and what evidence is weak.
- 5
Choose validation checks
Turn differences into interviews, data checks, experiments, expert review, or monitoring signals.
Boundary
What can what-if scenario analysis not prove?
What-if scenario analysis is not statistical measurement and cannot prove probability, demand, sentiment, market share, revenue, or real stakeholder behavior without evidence outside the simulation.
Use what-if analysis to compare assumptions and prepare decisions. Use real data, human research, market signals, and expert judgment to decide what to believe.
Simulation is not a representative survey or a deterministic forecast.
MiroFish output is designed for hypothesis generation, scenario stress testing, and research preparation. Do not present generated actors, dialogue, percentages, or reaction paths as observations from real customers or a statistically representative population.
Wake-up zone
What are the key takeaways?
- Good what-if examples change one assumption at a time.
- MiroFish supports graph, report, and follow-up comparison.
- The goal is to find evidence gaps and decision triggers.
- Simulation output is not measured probability.
Frequently asked questions
What should teams know before using this method?
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.
Primary research to review
What-if scenario analysis
Compare one assumption before the decision hardens.
Use MiroFish to run scenario variants, inspect graph changes, and ask follow-up questions about the report.
Run a what-if simulationContinue the cluster
What-If Scenario Analysis AI
Run bounded what-if scenario variants and inspect what changes in the graph, report, and assumptions.
Scenario Analysis Tool
Compare strategic scenarios through evidence-grounded actors, assumptions, reaction paths, and review tasks.
How to Do Scenario Analysis with AI
Follow a practical workflow from source packet to graph review, simulation report, and validation plan.