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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 Analysis.
Operations
Root Cause 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.When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another.
Complexitydifferent
LowMediumLowMedium
Timedifferent
20-60 min30-90 min15-30 min1-4 h
Participantsdifferent
11-62-63-8
Formatdifferent
AsyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Plain-language Explanation, Knowledge Gaps, Study NotesDecision Tree, Option Map, Assumption ListRoot cause notes, CountermeasuresProblem Statement, Cause Hypotheses, Confirmed Causes, Action Plan
Tagsno overlap
LearningKnowledgeUnderstanding
DecisionTreeOptions
Root causeIncidentLeanProblem solving
Root causeProblem solvingQualityIncident
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