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| Criterion |  Decision Making Constraint Analysis |  Decision Making Decision Tree |  UX Design Service Blueprinting |  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. | 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. | When a service experience is spread across several touchpoints, it brings frontstage and backstage together. It shows where user contact and internal responsibility must fit. | 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 | Medium | High | High |
Timedifferent | 30-90 min | 30-90 min | 0.5-2 Tage | 2-8 h |
Participantsdifferent | 2-8 | 1-6 | 6-12 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Decision Tree, Option Map, Assumption List | Service Blueprint, Fail Points, Ownership Map | Problem Analysis, Decision Analysis, Risk Plan |
Tagsno overlap | ConstraintsDecisionPlanningOptions | DecisionTreeOptions | Service designOperationsJourneyBlueprint | Problem solvingRoot causeDecisionOperations |