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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Root Cause Analysis.
Operations
Root Cause Analysis
Paper illustration for Kepner-Tregoe
Operations
Kepner-Tregoe
Paper illustration for Root Cause Tree Analysis
Operations
Root Cause Tree 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.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.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.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.
Complexitydifferent
MediumMediumHighMedium
Timedifferent
30-90 min1-4 h2-8 h1-3 h
Participantsdifferent
1-63-82-82-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Decision Tree, Option Map, Assumption ListProblem Statement, Cause Hypotheses, Confirmed Causes, Action PlanProblem Analysis, Decision Analysis, Risk PlanCause Tree, Evidence Notes, Countermeasures
Tagsno overlap
DecisionTreeOptions
Root causeProblem solvingQualityIncident
Problem solvingRoot causeDecisionOperations
Root causeTreeIncidentQuality
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