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Criterion
Paper illustration for Waste Analysis.
Operations
Waste Analysis
A paper-based illustration representing WSJF with its core stages and visible working result.
Agile
WSJF
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration of a four-column Kanban board with limited ongoing work, a visible blocker and a review loop.
Engineering
Kanban
Purposedifferent
For a process that keeps people busy but creates little value, the method exposes waste. It directs attention to unnecessary movement, waiting times, rework, and overdelivery.When many tasks compete for the same capacity, it orders work by economic impact. It makes time lost, benefit, and effort comparable together.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 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
LowHighHighMedium
Timedifferent
45-120 min45-90 min30-90 min Setup, danach laufendOngoing
Participantsdifferent
2-83-101-82-12
Formatdifferent
WorkshopWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Waste Map, Prioritized Waste, Improvement BacklogRanked Backlog, Cost-of-Delay AssumptionsForecast Percentiles, Throughput Dataset, Risk CommunicationKanban board, WIP policies, Flow metrics
Tagsno overlap
WasteLeanProcess improvement
LeanEconomicsSequencePrioritization
ForecastingFlowDelivery
FlowVisual managementDelivery
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