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| Criterion |  Decision Making Constraint Analysis |  Operations ABC Analysis |  Decision Making Decision Tree |  Operations Kepner-Tregoe |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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. | For a disturbance that's hard to pin down, the method cleanly separates problem, cause, and decision. It reduces mixing when symptoms allow several interpretations. |
Complexitydifferent | Low | Low | Medium | High |
Timedifferent | 30-90 min | 30-60 min | 30-90 min | 2-8 h |
Participantsdifferent | 2-8 | 1-5 | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | ABC Classification, Focus Rules, Control List | Decision Tree, Option Map, Assumption List | Problem Analysis, Decision Analysis, Risk Plan |
Tagsno overlap | ConstraintsDecisionPlanningOptions | PrioritizationOperationsPortfolio | DecisionTreeOptions | Problem solvingRoot causeDecisionOperations |