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| Criterion |  Growth Hooked Model |  Decision Making Constraint Analysis |  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. | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. | 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 | Low | Medium |
Timedifferent | Multiple workshops over several weeks | 30-90 min | 1-2 h | 30-90 min |
Participantsdifferent | 2-8 | 2-8 | 2-8 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | DIBB document, Belief list, Bet list, Learning report | Decision Tree, Option Map, Assumption List |
Tagsno overlap | GrowthBehaviorRetention | ConstraintsDecisionPlanningOptions | StrategyDecisionAssumptionsHypothesis | DecisionTreeOptions |