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Criterion
Paper illustration of a review with planned work, actual event sequence, comparison, and assigned improvement actions.
Operations
After-Action Review
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Feynman Technique.
Knowledge Modeling
Feynman Technique
Paper illustration for Kepner-Tregoe
Operations
Kepner-Tregoe
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.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.The Feynman Technique checks understanding by explaining a topic so that it stays easy for others to understand. It makes knowledge gaps visible before they become costly in everyday work.For a disturbance that's hard to pin down, the method cleanly separates problem, cause, and decision. It reduces mixing when symptoms allow several interpretations.
Complexitydifferent
LowMediumLowHigh
Timedifferent
20-45 min30-90 min20-60 min2-8 h
Participantsdifferent
3-121-612-8
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Lessons learned, Action items, Event summaryDecision Tree, Option Map, Assumption ListPlain-language Explanation, Knowledge Gaps, Study NotesProblem Analysis, Decision Analysis, Risk Plan
Tagsno overlap
LearningOperationsImprovement
DecisionTreeOptions
LearningKnowledgeUnderstanding
Problem solvingRoot causeDecisionOperations
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