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| Criterion |  Product Strategy Impact Mapping |  Growth A/B Testing |  Growth Hooked Model |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | When a goal needs to be connected to several possible paths, it shows chains of impact instead of feature lists. It connects business goal, behavior change, and measures. | 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. | 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. |
Complexitydifferent | Medium | High | Medium | Low |
Timedifferent | 45-90 min | 1-4 Wochen | Multiple workshops over several weeks | 1-5 Tage |
Participantsdifferent | 3-8 | 1-6 | 2-8 | Nutzertraffic |
Formatdifferent | Workshop | Async | Workshop + async | Async |
Outputdifferent | Impact Map, Outcome Hypotheses, Delivery Options | Experiment results, Decision log, Learning summary | Hooked loop, Trigger map, Reward design, Ethics check | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | OutcomesStrategyBehaviorPlanning | ExperimentsGrowthAnalyticsValidation | GrowthBehaviorRetention | ValidationExperimentsDemandGrowth |