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| Criterion |  Growth A/B Testing |  Product Discovery Smoke Test |  Systems Thinking Behavior Over Time Graph |  Systems Thinking Causal Loop Diagram |
|---|---|---|---|---|
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. | 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 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. | 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. |
Complexitydifferent | High | Low | Low | Medium |
Timedifferent | 1-4 Wochen | 1-5 Tage | 20-45 min | 1-3 h |
Participantsdifferent | 1-6 | Nutzertraffic | 1-10 | 2-8 |
Formatdifferent | Async | Async | Workshop + async | Workshop |
Outputdifferent | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note | Behavior Over Time Graph, Trend Hypotheses, Key Events | Causal Loop Diagram, Feedback Notes, Leverage Points |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth | Systems thinkingPatternsDynamics | FeedbackSystems thinkingCausalityDynamics |