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| Criterion |  Decision Making Decision Tree |  Operations ABC Analysis |  Product Strategy DIBB |  Decision Making Constraint Analysis |
|---|---|---|---|---|
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. | With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention. | 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 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. |
Complexitydifferent | Medium | Low | Low | Low |
Timedifferent | 30-90 min | 30-60 min | 1-2 h | 30-90 min |
Participantsdifferent | 1-6 | 1-5 | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | ABC Classification, Focus Rules, Control List | DIBB document, Belief list, Bet list, Learning report | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | DecisionTreeOptions | PrioritizationOperationsPortfolio | StrategyDecisionAssumptionsHypothesis | ConstraintsDecisionPlanningOptions |