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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
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Paper illustration for Waste Analysis.
Operations
Waste Analysis
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.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
30-90 min Setup, danach laufend45-90 min1-3 h45-120 min
Participantsdifferent
1-83-104-102-8
Formatdifferent
Workshop + asyncWorkshopWorkshopWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationRanked Backlog, Cost-of-Delay AssumptionsCurrent-state map, Future-state map, Bottleneck listWaste Map, Prioritized Waste, Improvement Backlog
Tagsno overlap
ForecastingFlowDelivery
LeanEconomicsSequencePrioritization
LeanFlowWasteDelivery
WasteLeanProcess improvement
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