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Criterion
Paper illustration for Teach-back.
Knowledge Modeling
Teach-back
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
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
Purposedifferent
Teach-back checks whether an explanation actually got through to the other person. The method makes misunderstandings visible early and strengthens shared understanding in advisory and learning situations.When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped.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.
Complexitydifferent
LowLowLowMedium
Timedifferent
5-20 min30-90 min20-45 min30-90 min
Participantsdifferent
2-82-83-121-6
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Understanding Check, Clarification Notes, Learning GapsConstraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesLessons learned, Action items, Event summaryDecision Tree, Option Map, Assumption List
Tagsno overlap
LearningUnderstandingCommunication
ConstraintsDecisionPlanningOptions
LearningOperationsImprovement
DecisionTreeOptions
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