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Criterion
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 for Waste Analysis.
Operations
Waste Analysis
Paper illustration of a four-column Kanban board with limited ongoing work, a visible blocker and a review loop.
Engineering
Kanban
Purposedifferent
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.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 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
HighHighLowMedium
Timedifferent
45-90 min30-90 min Setup, danach laufend45-120 minOngoing
Participantsdifferent
3-101-82-82-12
Formatdifferent
WorkshopWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Ranked Backlog, Cost-of-Delay AssumptionsForecast Percentiles, Throughput Dataset, Risk CommunicationWaste Map, Prioritized Waste, Improvement BacklogKanban board, WIP policies, Flow metrics
Tagsno overlap
LeanEconomicsSequencePrioritization
ForecastingFlowDelivery
WasteLeanProcess improvement
FlowVisual managementDelivery
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