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| Criterion |  Growth Hooked Model |  Product Strategy ICE Scoring |  Product Strategy DIBB |  Decision Making Decision Matrix |
|---|---|---|---|---|
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 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. | 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 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 | Low | Low | Medium |
Timedifferent | Multiple workshops over several weeks | 30-60 min | 1-2 h | 45-90 min |
Participantssame | 2-8 | 2-8 | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | ICE Table, Top Idea List | DIBB document, Belief list, Bet list, Learning report | Decision Matrix, Scoring Rationale, Selected Option |
Tagsno overlap | GrowthBehaviorRetention | PrioritizationScoringGrowthDecision | StrategyDecisionAssumptionsHypothesis | DecisionCriteriaScoringTradeoffs |