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| Criterion |  Operations After-Action Review |  Operations ABC Analysis |  Decision Making Decision Tree |  Product Strategy ICE Scoring |
|---|---|---|---|---|
Purposedifferent | 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. | With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention. | 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 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 | Low | Low | Medium | Low |
Timedifferent | 20-45 min | 30-60 min | 30-90 min | 30-60 min |
Participantsdifferent | 3-12 | 1-5 | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Lessons learned, Action items, Event summary | ABC Classification, Focus Rules, Control List | Decision Tree, Option Map, Assumption List | ICE Table, Top Idea List |
Tagsno overlap | LearningOperationsImprovement | PrioritizationOperationsPortfolio | DecisionTreeOptions | PrioritizationScoringGrowthDecision |