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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Paper illustration of a four-column Kanban board with limited ongoing work, a visible blocker and a review loop.
Engineering
Kanban
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 delivery work dissolves into wait times, handoffs, and hidden effort, Value Stream Mapping makes the actual flow visible. The method exposes bottlenecks, idle time, and feedback loops so lead time and improvement levers become tangible.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 work sits in too many parallel streams, throughput suffers and no one sees the bottlenecks. Kanban makes the flow of work visible and limits overload so a system becomes calmer and more predictable.
Complexitydifferent
MediumMediumLowMedium
Timedifferent
30-90 min1-3 h30-90 minOngoing
Participantsdifferent
1-64-102-82-12
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListCurrent-state map, Future-state map, Bottleneck listConstraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesKanban board, WIP policies, Flow metrics
Tagsno overlap
DecisionTreeOptions
LeanFlowWasteDelivery
ConstraintsDecisionPlanningOptions
FlowVisual managementDelivery
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