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| Criterion |  Product Discovery Smoke Test |  Systems Thinking System Dynamics Simulation |  Systems Thinking Behavior Over Time Graph |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | 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 Behavior Over Time Graph shows how a metric or observation develops over time. The method makes trends, breaks, and recurring patterns visible that get lost in snapshots. | 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 | Low | High | Low | High |
Timedifferent | 1-5 Tage | Mehrere Tage bis Wochen | 20-45 min | 1-4 Wochen |
Participantsdifferent | Nutzertraffic | 1-5 Modellierende, Stakeholder asynchron | 1-10 | 1-6 |
Formatdifferent | Async | Async | Workshop + async | Async |
Outputdifferent | Interest Metrics, Conversion Signal, Learning Note | Simulation Model, Scenario Reports | Behavior Over Time Graph, Trend Hypotheses, Key Events | Experiment results, Decision log, Learning summary |
Tagsno overlap | ValidationExperimentsDemandGrowth | Systems thinkingDynamicsSimulationAnalysis | Systems thinkingPatternsDynamics | ExperimentsGrowthAnalyticsValidation |