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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
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
A 5 Whys working surface connects an observable problem with evidenced causes, marked uncertainty and concrete countermeasures with ownership.
Operations
5 Whys
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 an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events.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.
Complexitydifferent
LowMediumHighLow
Timedifferent
20-60 min30-90 min2-6 h15-30 min
Participantsdifferent
11-63-102-6
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Plain-language Explanation, Knowledge Gaps, Study NotesDecision Tree, Option Map, Assumption ListEvent Timeline, Causal Factor Chart, Cause List, Corrective ActionsRoot cause notes, Countermeasures
Tagsno overlap
LearningKnowledgeUnderstanding
DecisionTreeOptions
CausalityIncidentRoot causeTimeline
Root causeIncidentLeanProblem solving
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