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Criterion
A paper-based illustration representing WSJF with its core stages and visible working result.
Agile
WSJF
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Paper illustration for Waste Analysis.
Operations
Waste Analysis
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
When many tasks compete for the same capacity, it orders work by economic impact. It makes time lost, benefit, and effort comparable together.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 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.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.
Complexitydifferent
HighMediumLowHigh
Timedifferent
45-90 min1-3 h45-120 min30-90 min Setup, danach laufend
Participantsdifferent
3-104-102-81-8
Formatdifferent
WorkshopWorkshopWorkshopWorkshop + async
Outputdifferent
Ranked Backlog, Cost-of-Delay AssumptionsCurrent-state map, Future-state map, Bottleneck listWaste Map, Prioritized Waste, Improvement BacklogForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
LeanEconomicsSequencePrioritization
LeanFlowWasteDelivery
WasteLeanProcess improvement
ForecastingFlowDelivery
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