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| Criterion |  Growth Hooked Model |  Decision Making Pre-Mortem |  Product Strategy DIBB |  Product Discovery Assumption Mapping |
|---|---|---|---|---|
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. | In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures. | 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | Medium | Low | Low | Medium |
Timedifferent | Multiple workshops over several weeks | 20–45 min | 1-2 h | 45-60 min |
Participantsdifferent | 2-8 | Small cross-functional group | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | Risk list, Mitigation plan, Assumption log | DIBB document, Belief list, Bet list, Learning report | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | GrowthBehaviorRetention | RiskDecisionFailurePlanning | StrategyDecisionAssumptionsHypothesis | AssumptionsRiskExperimentsValidation |