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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
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Paper illustration of Cost of Delay with its method-specific working model.
Delivery
Cost of Delay
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.In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures.Helps clarify scope, order, and delivery flow in concrete terms. It makes work, constraints, and sequence manageable. The result is captured as a Cost of Delay table and prioritization sequence.
Complexitydifferent
HighMediumLowHigh
Timedifferent
30-90 min Setup, danach laufend1-3 h20–45 min90-180 min
Participantsdifferent
1-84-10Small cross-functional group3-8
Formatdifferent
Workshop + asyncWorkshopWorkshopWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationCurrent-state map, Future-state map, Bottleneck listRisk list, Mitigation plan, Assumption logCoD Table, Prioritization Sequence
Tagsno overlap
ForecastingFlowDelivery
LeanFlowWasteDelivery
RiskDecisionFailurePlanning
PrioritizationDeliveryEconomicsDecision
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