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| Criterion |  Growth Hooked Model |  Product Strategy RICE Scoring |  Product Discovery Fake Door Test |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|---|
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 many initiatives compete for the same resources, it brings reach, impact, confidence, and effort into one shared ranking. It makes prioritization economically connectable. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | Multiple workshops over several weeks | 60-90 min | 1-5 Tage | 60-90 min |
Participantsdifferent | 2-8 | 2-10 | Nutzertraffic | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | RICE Scores, Ranked List, Assumption Log | Click Data, Interest Signal, Learning Decision | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | GrowthBehaviorRetention | PrioritizationScoringRoadmapTradeoffs | ValidationExperimentsDemandDiscovery | ExperimentsPrioritizationDiscoveryHypothesis |