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| Criterion |  Decision Making Decision Tree |  Operations ALPEN Method |  UX Research Customer Journey Mapping |  UX Design Service Blueprinting |
|---|---|---|---|---|
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 an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time. | When a user journey falls apart across many touchpoints, customer journey mapping makes the experience visible as a coherent arc. Phases, emotions, and breaks become legible enough to prioritize critical moments deliberately. | 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. |
Complexitydifferent | Medium | Low | Medium | High |
Timedifferent | 30-90 min | 10-20 min daily | 2-4 h | 0.5-2 Tage |
Participantsdifferent | 1-6 | 1 | 4-10 | 6-12 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop |
Outputdifferent | Decision Tree, Option Map, Assumption List | Daily Plan, Time Estimates, Review Notes | Journey Map, Pain-point List, Opportunity Backlog | Service Blueprint, Fail Points, Ownership Map |
Tagsno overlap | DecisionTreeOptions | PlanningTime managementProductivityOperations | JourneyServiceService design | Service designOperationsJourneyBlueprint |