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Criterion
Paper illustration of a four-column Kanban board with limited ongoing work, a visible blocker and a review loop.
Engineering
Kanban
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Gemba Walk workspace showing the question, observations, and next decision.
Operations
Gemba Walk
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Purposedifferent
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.Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication.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.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.
Complexitydifferent
MediumHighLowMedium
Timedifferent
Ongoing30-90 min Setup, danach laufend30-120 min1-3 h
Participantsdifferent
2-121-82-64-10
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop
Outputdifferent
Kanban board, WIP policies, Flow metricsForecast Percentiles, Throughput Dataset, Risk CommunicationObservation Notes, Improvement IdeasCurrent-state map, Future-state map, Bottleneck list
Tagsno overlap
FlowVisual managementDelivery
ForecastingFlowDelivery
LeanObservationProcessOperations
LeanFlowWasteDelivery
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