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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of a review with planned work, actual event sequence, comparison, and assigned improvement actions.
Operations
After-Action Review
Paper illustration for Bottleneck Analysis.
Operations
Bottleneck 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.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 a flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput.
Complexitydifferent
MediumLowMedium
Timedifferent
30-90 min20-45 min1-3 h
Participantsdifferent
1-63-123-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListLessons learned, Action items, Event summaryBottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures
Tagsno overlap
DecisionTreeOptions
LearningOperationsImprovement
FlowMeasurementConstraints
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration for Theory of Constraints.
Operations
Theory of Constraints
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Paper illustration for Kepner-Tregoe
Operations
Kepner-Tregoe
Paper illustration for Learning Review.
Operations
Learning Review