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| Criterion |  Growth Hooked Model |  Product Strategy DIBB |  Product Discovery Fake Door 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. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | 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. |
Complexitydifferent | Medium | Low | Medium |
Timedifferent | Multiple workshops over several weeks | 1-2 h | 1-5 Tage |
Participantsdifferent | 2-8 | 2-8 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Async |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | DIBB document, Belief list, Bet list, Learning report | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | GrowthBehaviorRetention | StrategyDecisionAssumptionsHypothesis | ValidationExperimentsDemandDiscovery |
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