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Criterion
Paper illustration for Feynman Technique.
Knowledge Modeling
Feynman Technique
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
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.A Causal Loop Diagram makes feedback, reinforcement, and balance in a system legible. It uncovers side effects and self-reinforcement that stay hidden in linear explanations.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 min1-3 h2-6 h15-30 min
Participantsdifferent
12-83-102-6
Formatdifferent
AsyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
Plain-language Explanation, Knowledge Gaps, Study NotesCausal Loop Diagram, Feedback Notes, Leverage PointsEvent Timeline, Causal Factor Chart, Cause List, Corrective ActionsRoot cause notes, Countermeasures
Tagsno overlap
LearningKnowledgeUnderstanding
FeedbackSystems thinkingCausalityDynamics
CausalityIncidentRoot causeTimeline
Root causeIncidentLeanProblem solving
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