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| Criterion |  Systems Thinking System Dynamics Simulation |  Product Discovery Smoke Test |  Systems Thinking Causal Loop Diagram |  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. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | 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 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 | Low | Medium | High |
Timedifferent | Mehrere Tage bis Wochen | 1-5 Tage | 1-3 h | 1-4 Wochen |
Participantsdifferent | 1-5 Modellierende, Stakeholder asynchron | Nutzertraffic | 2-8 | 1-6 |
Formatdifferent | Async | Async | Workshop | Async |
Outputdifferent | Simulation Model, Scenario Reports | Interest Metrics, Conversion Signal, Learning Note | Causal Loop Diagram, Feedback Notes, Leverage Points | Experiment results, Decision log, Learning summary |
Tagsno overlap | Systems thinkingDynamicsSimulationAnalysis | ValidationExperimentsDemandGrowth | FeedbackSystems thinkingCausalityDynamics | ExperimentsGrowthAnalyticsValidation |