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Criterion
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 of RAID Log with a method-specific labelled workspace.
Delivery
RAID Log
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 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.Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as a RAID Log and a source for status reporting.
Complexitydifferent
HighMediumLow
Timedifferent
30-90 min Setup, danach laufend1-3 h30 min Setup, dann laufend
Participantsdifferent
1-84-101-3 maintaining, briefing for everyone
Formatdifferent
Workshop + asyncWorkshopAsync
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationCurrent-state map, Future-state map, Bottleneck listRAID Log, Status Report Source
Tagsno overlap
ForecastingFlowDelivery
LeanFlowWasteDelivery
RiskTrackingStakeholdersGovernance
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