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| Criterion |  Growth Hooked Model |  Product Discovery Smoke Test |  Business Strategy SWOT Analysis |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | SWOT Analysis arranges strengths, weaknesses, opportunities, and threats into a compact picture of the situation. It keeps internal capabilities and external influences separate before strategic options emerge from them. | 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 | Medium | Low | Low | High |
Timedifferent | Multiple workshops over several weeks | 1-5 Tage | 30-60 min | 1-4 Wochen |
Participantsdifferent | 2-8 | Nutzertraffic | 3-12 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop | Async |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | Interest Metrics, Conversion Signal, Learning Note | SWOT matrix, Strategic options, Action list | Experiment results, Decision log, Learning summary |
Tagsno overlap | GrowthBehaviorRetention | ValidationExperimentsDemandGrowth | StrategyAnalysisMarketPositioning | ExperimentsGrowthAnalyticsValidation |