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| Criterion |  Decision Making Decision Tree |  Operations ALPEN Method |  Operations Causal Factor Analysis |  Operations Root Cause Tree 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 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. | For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. | For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie. |
Complexitydifferent | Medium | Low | High | Medium |
Timedifferent | 30-90 min | 10-20 min daily | 2-6 h | 1-3 h |
Participantsdifferent | 1-6 | 1 | 3-10 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop |
Outputdifferent | Decision Tree, Option Map, Assumption List | Daily Plan, Time Estimates, Review Notes | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Cause Tree, Evidence Notes, Countermeasures |
Tagsno overlap | DecisionTreeOptions | PlanningTime managementProductivityOperations | CausalityIncidentRoot causeTimeline | Root causeTreeIncidentQuality |