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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
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
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.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 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
MediumMediumLowMedium
Timedifferent
30-90 min1-3 h15-30 min1-4 h
Participantsdifferent
1-62-82-63-8
Formatdifferent
Workshop + asyncWorkshopWorkshopWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListCausal Loop Diagram, Feedback Notes, Leverage PointsRoot cause notes, CountermeasuresProblem Statement, Cause Hypotheses, Confirmed Causes, Action Plan
Tagsno overlap
DecisionTreeOptions
FeedbackSystems thinkingCausalityDynamics
Root causeIncidentLeanProblem solving
Root causeProblem solvingQualityIncident
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