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Criterion
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Bottleneck Analysis.
Operations
Bottleneck Analysis
Paper illustration of a four-column Kanban board with limited ongoing work, a visible blocker and a review loop.
Engineering
Kanban
Purposedifferent
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.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 flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput.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.
Complexitysame
MediumMediumMediumMedium
Timedifferent
1-3 h30-90 min1-3 hOngoing
Participantsdifferent
4-101-63-82-12
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Current-state map, Future-state map, Bottleneck listDecision Tree, Option Map, Assumption ListBottleneck Map, Flow Metrics, Improvement Options, Follow-up MeasuresKanban board, WIP policies, Flow metrics
Tagsno overlap
LeanFlowWasteDelivery
DecisionTreeOptions
FlowMeasurementConstraints
FlowVisual managementDelivery
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