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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Kaizen Event.
Operations
Kaizen Event
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
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 tightly scoped process segment with noticeable waste, the method bundles shared energy for change. It suits situations that call for fast learning loops and visible adjustments.For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode.
Complexitydifferent
MediumMediumLow
Timedifferent
30-90 min0.5-5 Tage1 h bis mehrere Wochen
Participantsdifferent
1-64-101-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListKaizen Charter, Waste List, Improvement Experiments, Standard Work UpdatePDCA Log, Experiment Plan, Learning Outcome, Standard Change
Tagsno overlap
DecisionTreeOptions
LeanContinuous improvementOperations
Continuous improvementLeanExperiments
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Methods with strong topical overlap with the current selection, not yet in the comparison.

A3 Problem-Solving workspace showing the question, observations, and next decision.
Operations
A3 Problem Solving
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Gemba Walk workspace showing the question, observations, and next decision.
Operations
Gemba Walk
Paper illustration for Kepner-Tregoe
Operations
Kepner-Tregoe