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| Criterion |  Growth Hooked Model |  Product Strategy DIBB |  Decision Making Decision Tree |
|---|---|---|---|
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. | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. |
Complexitydifferent | Medium | Low | Medium |
Timedifferent | Multiple workshops over several weeks | 1-2 h | 30-90 min |
Participantsdifferent | 2-8 | 2-8 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | DIBB document, Belief list, Bet list, Learning report | Decision Tree, Option Map, Assumption List |
Tagsno overlap | GrowthBehaviorRetention | StrategyDecisionAssumptionsHypothesis | DecisionTreeOptions |
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