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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Root Cause Tree Analysis
Operations
Root Cause Tree Analysis
Paper illustration for Kepner-Tregoe
Operations
Kepner-Tregoe
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.For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie.For a disturbance that's hard to pin down, the method cleanly separates problem, cause, and decision. It reduces mixing when symptoms allow several interpretations.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
MediumMediumHighMedium
Timedifferent
30-90 min1-3 h2-8 h1-4 h
Participantsdifferent
1-62-82-83-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListCause Tree, Evidence Notes, CountermeasuresProblem Analysis, Decision Analysis, Risk PlanProblem Statement, Cause Hypotheses, Confirmed Causes, Action Plan
Tagsno overlap
DecisionTreeOptions
Root causeTreeIncidentQuality
Problem solvingRoot causeDecisionOperations
Root causeProblem solvingQualityIncident
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