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Criterion
Gemba Walk workspace showing the question, observations, and next decision.
Operations
Gemba Walk
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of a decision table with criteria rows, weighted ratings, and a narrowly leading alternative.
Decision Making
Decision Matrix
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Purposedifferent
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 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 several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic.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.
Complexitydifferent
LowMediumMediumLow
Timedifferent
30-120 min30-90 min45-90 min30-90 min
Participantsdifferent
2-61-62-82-8
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Observation Notes, Improvement IdeasDecision Tree, Option Map, Assumption ListDecision Matrix, Scoring Rationale, Selected OptionConstraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries
Tagsno overlap
LeanObservationProcessOperations
DecisionTreeOptions
DecisionCriteriaScoringTradeoffs
ConstraintsDecisionPlanningOptions
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