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| Criterion |  Systems Thinking System Dynamics Simulation |  Systems Thinking Causal Loop Diagram |  Product Discovery Assumption Mapping |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | A Causal Loop Diagram makes feedback, reinforcement, and balance in a system legible. It uncovers side effects and self-reinforcement that stay hidden in linear explanations. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. |
Complexitydifferent | High | Medium | Medium | High |
Timedifferent | Mehrere Tage bis Wochen | 1-3 h | 45-60 min | 1-4 Wochen |
Participantsdifferent | 1-5 Modellierende, Stakeholder asynchron | 2-8 | 2-8 | 1-6 |
Formatdifferent | Async | Workshop | Workshop + async | Async |
Outputdifferent | Simulation Model, Scenario Reports | Causal Loop Diagram, Feedback Notes, Leverage Points | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tagsno overlap | Systems thinkingDynamicsSimulationAnalysis | FeedbackSystems thinkingCausalityDynamics | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |