MiroFish use cases for decisions that need rehearsal
Choose the scenario closest to your next decision. Each page turns a different question into the same operating loop: source material, actor graph, simulated reactions, and a report you can challenge.
Market Simulation AI
Use this when the risk is not one message, but how buyers, competitors, channels, and analysts respond to each other after the move.
Open market simulationMarket and growth
Research and strategy
Narrative systems
Start with the page that matches the real pressure.
The goal is not to browse features. It is to pick a clean scenario boundary, then run the simulation with enough evidence to see what could change.
Market Simulation AI
Use Market Simulation AI to rehearse launches, pricing, and market entry before buyers, competitors, and channels start shaping the story.
Market Reaction Prediction
Use Market Reaction Prediction to forecast how buyers, competitors, and channel voices may respond before a launch, pricing change, category entry, or public positioning move goes live.
Trading Infrastructure
Use Trading Infrastructure to rehearse market regimes, liquidity risk, execution pressure, counterparty behavior, and risk desk decisions before trading assumptions reach production workflows.
Trading Signal Generation
Use Trading Signal Generation to feed financial news, headlines, and market context into a simulation that surfaces sentiment shifts, volatility pressure, asset narratives, and risk-desk questions.
Go-to-Market Simulation
Use Go-to-Market Simulation to rehearse positioning, sales motion, channel friction, buyer adoption, and competitor response before the launch plan hardens.
Demand Forecasting
Use Demand Forecasting to rehearse how buyer intent, pipeline movement, seasonality, channel pressure, inventory needs, and supply constraints may shape demand before planning hardens.
Forecast Conversion Rate
Use Forecast Conversion Rate to estimate how traffic source, landing page message, CTA, offer, proof, pricing, and purchase intent may move conversion before a campaign or launch goes live.
Conversion Risk Analysis
Use Conversion Risk Analysis to inspect why a funnel may lose intent, where trust breaks, which offer details create hesitation, and what evidence should be fixed before more traffic is sent.
Multi-Agent Simulation AI
Use Multi-Agent Simulation AI to model how multiple actors react, influence each other, and create second-order paths around the same scenario.
Agent-Based Simulation AI
Use Agent-Based Simulation AI to model actors, incentives, rules, and constraints so local behavior can be inspected as a system outcome.
Agent Simulations
Use Agent Simulations to rehearse how AI agents follow roles, use tools, share memory, hand off work, and expose behavior risks before an agent workflow is deployed.
Scenario Simulation AI
Use Scenario Simulation AI to turn a brief, event, or decision into an inspectable simulated path with actor reaction and second-order risk.
Digital Rehearsal
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.
LLM Social Simulation
Use LLM Social Simulation to create language-model actors with roles, memory, and context so group reaction can be inspected over time.
Social Simulation
Use Social Simulation to rehearse how groups, institutions, norms, incentives, and network pressure may interact when a social system faces a decision, intervention, or public change.
AI Scenario Planning
Use AI Scenario Planning to turn strategic plans, market memos, evidence, and constraints into inspectable future paths before committing.
Corporate Scenario Planning
Use Corporate Scenario Planning to rehearse how enterprise strategy, board choices, business units, capital constraints, and market shifts may interact before a company commits resources.
AI Forecasting Tool
Use AI Forecasting Tool to turn evidence, actors, and uncertainty into inspectable forecast paths before decisions harden.
Election Outcomes
Use Election Outcomes to rehearse how turnout shifts, polling uncertainty, candidate narratives, media pressure, institutional rules, polling error, and validation gaps may shape result scenarios.
Legal Case Outcome Prediction
Use Legal Case Outcome Prediction to review how claims, evidence, motion posture, judge and venue context, opposing counsel moves, cost pressure, and settlement windows may shape litigation risk before a legal strategy hardens.
Public Opinion Simulation AI
Use Public Opinion Simulation AI to test how communities, commentators, media surfaces, and affected groups may interpret a public move.
Product Launch Simulation AI
Use Product Launch Simulation AI to preview buyer confusion, reviewer framing, sales objections, and competitor countermoves before launch day.
Product Launch Research
Use Product Launch Research to turn interviews, support notes, demand signals, and launch questions into buyer evidence before product messaging locks in.
Product Concept Validation
Use Product Concept Validation to screen an early product concept for audience appeal, problem-solution fit, purchase intent, proof gaps, and build risk before design or engineering work begins.
AI Positioning Testing
Use AI Positioning Testing to rehearse whether a target audience understands your category, value proposition, differentiation, competitor frame, and proof before a launch or GTM plan hardens.
AI Product Validation
Use AI Product Validation to rehearse whether a product idea, MVP, feature, or value proposition has enough buyer evidence before teams build, launch, or scale it.
Product Naming Tests
Use Product Naming Tests to compare candidate product names, brand names, and feature names for clarity, memorability, category fit, emotional response, differentiation, and launch risk.
Persona Validation
Use Persona Validation to test whether customer personas, buyer personas, user segments, buyer roles, and ICP assumptions are supported by interviews, surveys, behavior data, CRM fields, sales feedback, and real market evidence.
Persona Development Research
Use Persona Development Research to synthesize interviews, surveys, CRM notes, analytics, support themes, win-loss notes, and market evidence into buyer and customer persona drafts with goals, motivations, pain points, behaviors, jobs to be done, and decision criteria.
Persona Alignment
Use Persona Alignment to help product, marketing, sales, and research teams agree on ICP definitions, buyer roles, persona assumptions, segment priorities, messaging, objections, and next research steps.
Product Launch Validation
Use Product Launch Validation to test buyer objections, demand proof, pricing questions, and message risk before the product launch moves forward.
Product Launch Reaction Simulation
Use Product Launch Reaction Simulation to rehearse buyer confusion, reviewer framing, social response, competitor counters, and crisis signals after launch.
Pricing Simulation AI
Use Pricing Simulation AI to rehearse price increases, discount changes, packaging shifts, churn risk, and the objections sales teams will hear first.
Pricing Market Research
Use Pricing Market Research to turn buyer notes, survey questions, packaging options, and value claims into pricing evidence before a pricing decision hardens.
Price Sensitivity Research
Use Price Sensitivity Research to test acceptable price ranges, threshold points, segment resistance, and willingness-to-pay risk before a pricing page, package, or increase is finalized.
Market Entry Simulation AI
Use Market Entry Simulation AI to test a new segment, category, or geography before incumbents, partners, and skeptical buyers set the frame.
Crisis Simulation AI
Use Crisis Simulation AI to practice response timing, evidence gaps, stakeholder trust, and escalation risk before a real incident compresses the timeline.
Competitive Intelligence AI
Use Competitive Intelligence AI to preview competitor responses, buyer comparisons, analyst framing, and sales pressure before a positioning move.
Competitive Response Simulation
Use Competitive Response Simulation to rehearse competitor counters, buyer comparisons, pricing pressure, sales objections, and positioning risk before a market move.
AI Customer Research
Use AI Customer Research to turn interviews, support tickets, reviews, survey answers, and sales notes into customer insights, VOC themes, segment patterns, and research gaps.
Shopper Insights Research
Use Shopper Insights Research to turn shopper journeys, retail touchpoints, shelf signals, promotions, packaging, and purchase barriers into insight gaps and next research priorities.
Packaging Feedback
Use Packaging Feedback to rehearse whether a pack mockup, label, claim set, visual hierarchy, shelf presentation, and ecommerce packaging images are clear, distinctive, brand-fit, and likely to support purchase intent before print or launch.
Social Commerce Ad Testing
Use Social Commerce Ad Testing to rehearse which shoppable video hooks, creator angles, UGC scripts, product demos, Shop Now offers, and checkout paths may earn attention, purchase intent, and efficient spend before a campaign goes live.
AI Customer Panel
Use an AI Customer Panel to assemble synthetic customer personas, test product concepts, compare messages, rehearse pricing reactions, and identify research questions before running real customer interviews or surveys.
AI Focus Group Research
Use AI Focus Group Research to rehearse moderator prompts, participant reactions, group dynamics, consensus, disagreement, and qualitative insight paths before real fieldwork.
Customer Research Simulation AI
Use Customer Research Simulation AI to turn interviews, support notes, reviews, and product ideas into segment reactions and sharper validation questions.
Customer Simulation
Use Customer Simulation to rehearse how customer segments move through acquisition, onboarding, activation, usage, support, renewal, churn risk, and retention paths after a business change.
Survey Cost Reduction
Use Survey Cost Reduction to review survey budgets, sample plans, panel spend, respondent incentives, questionnaire rework, fieldwork waste, and validation risks before research costs harden.
AI Survey Simulation
Use AI Survey Simulation to rehearse survey questions, synthetic respondent reactions, segment differences, response bias, and validation gaps before or after fieldwork.
AI Survey Analysis
Use AI Survey Analysis to turn collected survey responses, open-ended comments, NPS or CSAT feedback, rating patterns, and respondent segments into verbatim coding, traceable themes, sentiment, and research next steps.
AI Survey Panel
Use AI Survey Panel to rehearse panel composition, synthetic respondent profiles, segment coverage, response quality, and validation risks before market research fieldwork.
Patient Therapy Guide
Use Patient Therapy Guide to rehearse how patients may understand treatment options, risks, adherence barriers, and the questions they should discuss with a licensed clinician.
Customer Reaction Prediction
Use Customer Reaction Prediction to rehearse how customer segments may respond to a product change, price move, message shift, or support policy before it reaches the market.
Consumer Reaction Simulation
Use Consumer Reaction Simulation to rehearse how shoppers, fans, skeptics, reviewers, and social audiences may respond to a B2C launch, campaign, price change, creator push, or brand message.
Shopper Simulation
Use Shopper Simulation to rehearse how shoppers notice, compare, hesitate, switch, and buy across shelf, product page, promotion, retail media, and checkout decisions.
Predict Customer Objections
Use Predict Customer Objections to rehearse the objections customers may raise about price, proof, urgency, switching cost, support, and product fit before sales or launch teams hear them live.
Customer Objection Analysis
Use Customer Objection Analysis to turn sales notes, call transcripts, support themes, reviews, and customer feedback into objection clusters, proof gaps, and response priorities.
Institutional Behavior
Use Institutional Behavior to rehearse how agencies, boards, regulators, coalitions, and public stakeholders may respond when incentives, rules, mandates, and legitimacy pressures collide.
Corporate Controversies
Use Corporate Controversies to rehearse how customers, employees, media, regulators, investors, and advocacy groups may respond when a corporate issue becomes public.
Reputation Crises
Use Reputation Crises to rehearse how brand trust, customer backlash, media framing, stakeholder pressure, crisis communication, and recovery plans may move before a public issue escalates.
Policy Impact Simulation AI
Use Policy Impact Simulation AI to rehearse stakeholder reaction, fairness concerns, compliance friction, and rollout gaps before a rule change lands.
Sanction Simulations
Use Sanction Simulations to rehearse how sanctions, trade restrictions, compliance pressure, supply-chain exposure, stakeholder response, and market-access limits may shape policy risk.
Policy Decisions
Use Policy Decisions to rehearse how institutions, affected groups, public audiences, and implementation constraints may respond before a policy, rule, or governance decision moves forward.
Narrative Forecasting AI
Use Narrative Forecasting AI to see how a claim, campaign, fictional event, or public message may be repeated, compressed, resisted, or reframed.
World Cup Prediction
Create a 2026 match forecast from team evidence, tactical pressure, and the storylines that can shift confidence.
Pick the right simulation frame.
Start from the kind of uncertainty in the decision, then choose the page that gives MiroFish the sharpest job.
When the risk is adoption
Use market, launch, pricing, and entry paths when the question depends on buyer belief, competitor response, or channel pressure.
When the risk is reaction
Use public opinion, policy, and crisis paths when stakeholders, media, institutions, or affected groups can reshape the outcome.
When the risk is interpretation
Use narrative, forecasting, and social simulation paths when meaning, momentum, and missing evidence can change the result.
One engine, different decision surfaces.
Market teams, policy operators, researchers, and storytellers ask different questions. MiroFish keeps the method consistent so the report stays inspectable.
Bring the source
Use a brief, report, pricing note, research file, match context, or policy draft as the scenario seed.
Build the actor graph
MiroFish turns people, groups, incentives, constraints, and claims into a graph you can inspect.
Run reaction rounds
Let the scenario move through actor responses and second-order pressure instead of stopping at one answer.
Question the report
Read the report for pressure points, weak assumptions, and the evidence most likely to change the result.
Pick by the kind of uncertainty you are facing.
The right use case gives the simulation a sharper job. That means fewer vague outputs and a clearer next question after the report.
Commercial uncertainty
Use market, launch, pricing, and market-entry pages when adoption depends on buyer belief and competitor response.
Stakeholder uncertainty
Use opinion, crisis, and policy pages when the outcome depends on institutions, media, or affected groups.
Interpretation uncertainty
Use narrative and sports pages when framing, missing evidence, and momentum can change the forecast.