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| Criterion |  Decision Making Constraint Analysis |  Systems Thinking System Dynamics Simulation |  Product Discovery MVP Test Matrix |  Product Discovery Fake Door Test |
|---|---|---|---|---|
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 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. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | Low | High | Medium | Medium |
Timedifferent | 30-90 min | Mehrere Tage bis Wochen | 45-75 min | 1-5 Tage |
Participantsdifferent | 2-8 | 1-5 Modellierende, Stakeholder asynchron | 2-8 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Workshop | Async |
Outputdifferent | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Simulation Model, Scenario Reports | Test Matrix, Test Plan | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ConstraintsDecisionPlanningOptions | Systems thinkingDynamicsSimulationAnalysis | ExperimentsValidationDiscoveryOptions | ValidationExperimentsDemandDiscovery |