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| Criterion |  Decision Making Decision Tree |  Decision Making Eisenhower Matrix |  Decision Making Decision Matrix |  Decision Making Trade-off 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. | It separates true priorities from noise so it becomes clear what should be done now, scheduled, delegated, or dropped. | When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. | With limited resources, quality, speed, cost, and risk almost always compete with each other. Trade-off Analysis makes these tensions explicit and prevents decisions from producing hidden side effects. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | 30-90 min | 15-30 min | 45-90 min | 45-120 min |
Participantsdifferent | 1-6 | 1-6 | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Eisenhower Matrix, Action List, Delegation Notes | Decision Matrix, Scoring Rationale, Selected Option | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides |
Tagsno overlap | DecisionTreeOptions | PrioritizationFocusTasks | DecisionCriteriaScoringTradeoffs | TradeoffsDecisionCriteriaOptions |