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| Criterion |  Operations Visual Management |  Decision Making Decision Tree |  Product Strategy DIBB |  Decision Making Constraint Analysis |
|---|---|---|---|---|
Purposedifferent | With high tempo and many parallel topics, the method makes status, deviations, and priorities visible at a glance. It reduces search effort and prevents what matters from getting lost in daily work. | 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. | 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 | Low | Medium | Low | Low |
Timedifferent | Ongoing | 30-90 min | 1-2 h | 30-90 min |
Participantsdifferent | 1-20 | 1-6 | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Visual Board, Status Indicators, Exception Cues | Decision Tree, Option Map, Assumption List | DIBB document, Belief list, Bet list, Learning report | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | SignalsOperationsVisual management | DecisionTreeOptions | StrategyDecisionAssumptionsHypothesis | ConstraintsDecisionPlanningOptions |