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| Criterion | ![]() Growth Hooked Model | ![]() Decision Making Decision Tree | ![]() Product Strategy DIBB | ![]() Decision Making Assumption Surfacing |
|---|---|---|---|---|
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. | 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. | 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. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. |
Complexitydifferent | Medium | Medium | Low | Low |
Timedifferent | Multiple workshops over several weeks | 30-90 min | 1-2 h | 45-90 min |
Participantsdifferent | 2-8 | 1-6 | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | Decision Tree, Option Map, Assumption List | DIBB document, Belief list, Bet list, Learning report | Assumption List, Critical Assumptions, Learning Plan |
Tagsno overlap | GrowthBehaviorRetention | DecisionTreeOptions | StrategyDecisionAssumptionsHypothesis | AssumptionsRiskDecisionDiscovery |



