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Criterion
Paper illustration for Feynman Technique.
Knowledge Modeling
Feynman Technique
Paper illustration for Current Reality Tree
Systems Thinking
Current Reality Tree
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
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 Current Reality Tree condenses many symptoms into a few causal chains. The method makes visible which core problems drive several negative effects at once.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.
Complexitydifferent
LowHighMediumHigh
Timedifferent
20-60 min2-6 h1-3 h2-6 h
Participantsdifferent
13-82-83-10
Formatdifferent
AsyncWorkshopWorkshopWorkshop + async
Outputdifferent
Plain-language Explanation, Knowledge Gaps, Study NotesCurrent Reality Tree, Core Problems, Intervention IdeasCausal Loop Diagram, Feedback Notes, Leverage PointsEvent Timeline, Causal Factor Chart, Cause List, Corrective Actions
Tagsno overlap
LearningKnowledgeUnderstanding
Systems thinkingRoot causeConstraintsCausality
FeedbackSystems thinkingCausalityDynamics
CausalityIncidentRoot causeTimeline
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