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| Criterion |  Decision Making Decision Tree |  Decision Making Decision Matrix |  Operations After-Action Review |  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. | 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. | After missions or project phases with unclear outcomes, the method makes visible what actually happened and what can be learned from it. It separates course, effect, and causes so experience turns into solid improvement. | 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 | Low | Low |
Timedifferent | 30-90 min | 45-90 min | 20-45 min | 30-60 min |
Participantsdifferent | 1-6 | 2-8 | 3-12 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Decision Matrix, Scoring Rationale, Selected Option | Lessons learned, Action items, Event summary | ICE Table, Top Idea List |
Tagsno overlap | DecisionTreeOptions | DecisionCriteriaScoringTradeoffs | LearningOperationsImprovement | PrioritizationScoringGrowthDecision |