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| Criterion |  Decision Making Constraint Analysis |  Systems Thinking System Dynamics Simulation |  Product Discovery Assumption Mapping |  Product Discovery MVP Test Matrix |
|---|---|---|---|---|
Purposedifferent | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. | System Dynamics Simulation makes assumptions about time, delay, and feedback testable through experiments. It draws relationships, patterns, and feedback loops. The result is captured as a simulation model and scenario reports. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. |
Complexitydifferent | Low | High | Medium | Medium |
Timedifferent | 30-90 min | Mehrere Tage bis Wochen | 45-60 min | 45-75 min |
Participantsdifferent | 2-8 | 1-5 Modellierende, Stakeholder asynchron | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop |
Outputdifferent | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Simulation Model, Scenario Reports | Assumption map, Test backlog, Risk ranking | Test Matrix, Test Plan |
Tagsno overlap | ConstraintsDecisionPlanningOptions | Systems thinkingDynamicsSimulationAnalysis | AssumptionsRiskExperimentsValidation | ExperimentsValidationDiscoveryOptions |