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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
A paper-based illustration representing WSJF with its core stages and visible working result.
Agile
WSJF
Paper illustration for Three-Point Estimation.
Decision Making
Three-Point Estimation
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Purposedifferent
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 many tasks compete for the same capacity, it orders work by economic impact. It makes time lost, benefit, and effort comparable together.A single estimate for effort, time, or risk often looks too smooth for the real uncertainty behind it. It separates options, evaluation criteria, and open risks. The result is captured as a Three-Point Estimate, Risk Range, and Assumption Notes.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
HighHighMediumMedium
Timedifferent
30-90 min Setup, danach laufend45-90 min10-30 min je Item1-3 h
Participantsdifferent
1-83-101-84-10
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationRanked Backlog, Cost-of-Delay AssumptionsThree-Point Estimate, Risk Range, Assumption NotesCurrent-state map, Future-state map, Bottleneck list
Tagsno overlap
ForecastingFlowDelivery
LeanEconomicsSequencePrioritization
EstimationUncertaintyForecasting
LeanFlowWasteDelivery
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