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| Criterion |  Growth Hooked Model |  Growth A/B Testing |  Product Strategy ICE Scoring |  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. | When ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list. | 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 | Low | Low |
Timedifferent | Multiple workshops over several weeks | 1-4 Wochen | 30-60 min | 1-5 Tage |
Participantsdifferent | 2-8 | 1-6 | 2-8 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | Experiment results, Decision log, Learning summary | ICE Table, Top Idea List | Interest Metrics, Conversion Signal, Learning Note |
Tags1 shared | GrowthBehaviorRetention | ExperimentsGrowthAnalyticsValidation | PrioritizationScoringGrowthDecision | ValidationExperimentsDemandGrowth |