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| Criterion |  Growth Hooked Model |  Facilitation Stakeholder Mapping |  Product Discovery Smoke Test |  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 an initiative depends on many people, interests, and power dynamics, Stakeholder Mapping systematically orders the environment. It shows who influences, who is affected, and where relationship management or safeguarding matters first. | 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 | Medium | Low | Low | High |
Timedifferent | Multiple workshops over several weeks | 60–90 min | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 2-8 | 2-8 | Nutzertraffic | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | Stakeholder Map, Engagement Plan, Risk Notes | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary |
Tagsno overlap | GrowthBehaviorRetention | StakeholdersAlignmentFacilitationChange | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation |