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| Criterion |  Decision Making Decision Tree |  Decision Making Trade-off Analysis |  Decision Making Decision Matrix |  Product Strategy ICE Scoring |
|---|---|---|---|---|
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 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. | 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. | When ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 30-90 min | 45-120 min | 45-90 min | 30-60 min |
Participantsdifferent | 1-6 | 2-8 | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides | Decision Matrix, Scoring Rationale, Selected Option | ICE Table, Top Idea List |
Tags1 shared | DecisionTreeOptions | TradeoffsDecisionCriteriaOptions | DecisionCriteriaScoringTradeoffs | PrioritizationScoringGrowthDecision |