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Criterion
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 Kaizen Event.
Operations
Kaizen Event
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Purposedifferent
When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped.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 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 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.
Complexitydifferent
LowLowMediumMedium
Timedifferent
30-90 min30-120 min0.5-5 Tage30-90 min
Participantsdifferent
2-82-64-101-6
Formatdifferent
Workshop + asyncWorkshopWorkshopWorkshop + async
Outputdifferent
Constraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesObservation Notes, Improvement IdeasKaizen Charter, Waste List, Improvement Experiments, Standard Work UpdateDecision Tree, Option Map, Assumption List
Tagsno overlap
ConstraintsDecisionPlanningOptions
LeanObservationProcessOperations
LeanContinuous improvementOperations
DecisionTreeOptions
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