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| Criterion | ![]() Growth A/B Testing | ![]() Systems Thinking System Dynamics Simulation | ![]() Product Discovery Smoke Test | ![]() Product Discovery Assumption Mapping |
|---|---|---|---|---|
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. | 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. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | High | High | Low | Medium |
Timedifferent | 1-4 Wochen | Mehrere Tage bis Wochen | 1-5 Tage | 45-60 min |
Participantsdifferent | 1-6 | 1-5 Modellierende, Stakeholder asynchron | Nutzertraffic | 2-8 |
Formatdifferent | Async | Async | Async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Simulation Model, Scenario Reports | Interest Metrics, Conversion Signal, Learning Note | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | Systems thinkingDynamicsSimulationAnalysis | ValidationExperimentsDemandGrowth | AssumptionsRiskExperimentsValidation |



