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| Criterion |  Growth Hooked Model |  Growth A/B Testing |  Operations Barrier Analysis |  Product Discovery Smoke Test |
|---|---|---|---|---|
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 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. | For a risk that can only be managed through multiple layers of protection, the method examines the effectiveness of each barrier. It shows where safeguards are missing, too weak, or fail under real conditions. | 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 | Multiple workshops over several weeks | 1-4 Wochen | 2-4 h | 1-5 Tage |
Participantsdifferent | 2-8 | 1-6 | 2-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | Experiment results, Decision log, Learning summary | Barrier Inventory, Failure Analysis per Barrier, Action Backlog | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | GrowthBehaviorRetention | ExperimentsGrowthAnalyticsValidation | Root causeSafetyIncident | ValidationExperimentsDemandGrowth |