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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Teach-back.
Knowledge Modeling
Teach-back
Paper illustration for Argument Mapping
Decision Making
Argument Mapping
Paper illustration for Feynman Technique.
Knowledge Modeling
Feynman Technique
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.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 statements, evidence, and counterarguments get mixed up, a debate quickly loses its structure. Argument Mapping breaks a thesis down into its reasoning and makes visible what it really rests on.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.
Complexitydifferent
MediumLowMediumLow
Timedifferent
30-90 min5-20 min1-3 h20-60 min
Participantsdifferent
1-62-81-81
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Decision Tree, Option Map, Assumption ListUnderstanding Check, Clarification Notes, Learning GapsArgument Map, Evidence Gaps, Decision RationalePlain-language Explanation, Knowledge Gaps, Study Notes
Tagsno overlap
DecisionTreeOptions
LearningUnderstandingCommunication
SensemakingDecisionRationale
LearningKnowledgeUnderstanding
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