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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Gemba Walk workspace showing the question, observations, and next decision.
Operations
Gemba Walk
Paper illustration for Failure Mode and Effects Analysis
Operations
Failure Mode and Effects Analysis
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 there is uncertainty about the real course of a process, the method brings observation to the place where work happens. It combines perception, follow-up questions, and process knowledge so decisions rest on actual workflows instead of assumptions.For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability.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
MediumLowHighMedium
Timedifferent
30-90 min30-120 min2-6 h1-3 h
Participantsdifferent
1-62-63-102-8
Formatdifferent
Workshop + asyncWorkshopWorkshopWorkshop
Outputdifferent
Decision Tree, Option Map, Assumption ListObservation Notes, Improvement IdeasFMEA Table, Risk Priority, Mitigation ActionsCause Tree, Evidence Notes, Countermeasures
Tagsno overlap
DecisionTreeOptions
LeanObservationProcessOperations
RiskQualityOperationsRoot cause
Root causeTreeIncidentQuality
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