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| Criterion |  Growth A/B Testing |  Systems Thinking Causal Loop Diagram |  Systems Thinking Wardley Mapping |  Product Discovery Smoke Test |
|---|---|---|---|---|
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. | 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. | Wardley Mapping makes visible where an offering stands today and where it can evolve. The method connects user need, value chain, and evolution stages into a strategic basis for platform, build, or buy decisions. | 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. |
Complexitydifferent | High | Medium | Medium | Low |
Timedifferent | 1-4 Wochen | 1-3 h | 1-3 h | 1-5 Tage |
Participantsdifferent | 1-6 | 2-8 | 2-10 | Nutzertraffic |
Formatdifferent | Async | Workshop | Workshop + async | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | Causal Loop Diagram, Feedback Notes, Leverage Points | Wardley Map, Strategic Options, Evolution Notes | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | FeedbackSystems thinkingCausalityDynamics | StrategySystems thinkingDynamics | ValidationExperimentsDemandGrowth |