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| Criterion |  Systems Thinking Leverage Points |  Growth Hooked Model |  Product Discovery Smoke Test |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy. | The Hooked Model helps clarify engagement loops, user behavior, and experiments. It makes repeat behavior measurable and captures the result as a hooked loop, trigger map, and reward design. | 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 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 | High | Medium | Low | High |
Timedifferent | Half day | Multiple workshops over several weeks | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 3-12 | 2-8 | Nutzertraffic | 1-6 |
Formatdifferent | Workshop | Workshop + async | Async | Async |
Outputdifferent | Leverage Map, Action Strategy | Hooked loop, Trigger map, Reward design, Ethics check | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary |
Tagsno overlap | Systems thinkingChangeStrategy | GrowthBehaviorRetention | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation |