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| Criterion |  Growth A/B Testing |  Systems Thinking System Dynamics Simulation |  Product Discovery Learning Card |  Growth Growth Experiment |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. | When growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. |
Complexitydifferent | High | High | Low | Medium |
Timedifferent | 1-4 Wochen | Mehrere Tage bis Wochen | 25-40 min | 1-2 Wochen |
Participantsdifferent | 1-6 | 1-5 Modellierende, Stakeholder asynchron | 1-5 | 1-6 |
Formatdifferent | Async | Async | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Simulation Model, Scenario Reports | Learning Card with evidence and next action | Experiment card, Result summary, Next bet |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | Systems thinkingDynamicsSimulationAnalysis | ExperimentsValidationDiscoveryLearning | MarketingGrowthExperimentsLearning |