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Criterion
Paper illustration for DMAIC.
Operations
DMAIC
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of an IBIS map with issues, positions and arguments
Knowledge Modeling
IBIS
Paper illustration for Root Cause Tree Analysis
Operations
Root Cause Tree Analysis
Purposedifferent
For a process problem with fluctuating performance, the method brings analysis and improvement into a disciplined sequence. It creates a framework in which numbers, causes, and control come together.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.IBIS structures thinking about complex questions as a sequence of issues, ideas, and arguments. The method keeps discussions open without forcing them into premature consensus.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
HighMediumMediumMedium
Timedifferent
2-12 Wochen30-90 min1-3 h1-3 h
Participantsdifferent
3-101-62-82-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Project Charter, Measurement Plan, Cause Analysis, Control PlanDecision Tree, Option Map, Assumption ListIssue Map, Positions, Argument NotesCause Tree, Evidence Notes, Countermeasures
Tagsno overlap
Continuous improvementQualityProcess improvement
DecisionTreeOptions
RationaleKnowledgeDecision
Root causeTreeIncidentQuality
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