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| Criterion |  Growth Hooked Model |  Product Discovery Smoke Test |  Agile Affinity Estimation |  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. | When many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes. | 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 | Medium | High |
Timedifferent | Multiple workshops over several weeks | 1-5 Tage | 30-90 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 | Affinity Size Map, Grouped Estimates, Unclear Items | Experiment results, Decision log, Learning summary |
Tagsno overlap | GrowthBehaviorRetention | ValidationExperimentsDemandGrowth | EstimationBacklogRelative sizing | ExperimentsGrowthAnalyticsValidation |