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| Criterion |  Decision Making Decision Tree |  Growth Hooked Model |  Product Strategy ICE Scoring |  Decision Making Decision Matrix |
|---|---|---|---|---|
Purposedifferent | 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. | 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 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 several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 30-90 min | Multiple workshops over several weeks | 30-60 min | 45-90 min |
Participantsdifferent | 1-6 | 2-8 | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Hooked loop, Trigger map, Reward design, Ethics check | ICE Table, Top Idea List | Decision Matrix, Scoring Rationale, Selected Option |
Tagsno overlap | DecisionTreeOptions | GrowthBehaviorRetention | PrioritizationScoringGrowthDecision | DecisionCriteriaScoringTradeoffs |