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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
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Paper illustration for Waste Analysis.
Operations
Waste Analysis
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.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.
Complexitydifferent
HighHighMediumLow
Timedifferent
45-90 min30-90 min Setup, danach laufend1-3 h45-120 min
Participantsdifferent
3-101-84-102-8
Formatdifferent
WorkshopWorkshop + asyncWorkshopWorkshop
Outputdifferent
Ranked Backlog, Cost-of-Delay AssumptionsForecast Percentiles, Throughput Dataset, Risk CommunicationCurrent-state map, Future-state map, Bottleneck listWaste Map, Prioritized Waste, Improvement Backlog
Tagsno overlap
LeanEconomicsSequencePrioritization
ForecastingFlowDelivery
LeanFlowWasteDelivery
WasteLeanProcess improvement
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