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Criterion
Paper illustration for Feynman Technique.
Knowledge Modeling
Feynman Technique
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
A 5 Whys working surface connects an observable problem with evidenced causes, marked uncertainty and concrete countermeasures with ownership.
Operations
5 Whys
Paper illustration for Root Cause Tree Analysis
Operations
Root Cause Tree Analysis
Purposedifferent
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 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.For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description.For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie.
Complexitydifferent
LowMediumLowMedium
Timedifferent
20-60 min30-90 min15-30 min1-3 h
Participantsdifferent
11-62-62-8
Formatdifferent
AsyncWorkshop + asyncWorkshopWorkshop
Outputdifferent
Plain-language Explanation, Knowledge Gaps, Study NotesDecision Tree, Option Map, Assumption ListRoot cause notes, CountermeasuresCause Tree, Evidence Notes, Countermeasures
Tagsno overlap
LearningKnowledgeUnderstanding
DecisionTreeOptions
Root causeIncidentLeanProblem solving
Root causeTreeIncidentQuality
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