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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 for NoEstimates.
Agile
NoEstimates
Paper illustration for Three-Point Estimation.
Decision Making
Three-Point Estimation
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.When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules.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.
Complexitydifferent
HighMediumMediumMedium
Timedifferent
30-90 min Setup, danach laufend1-3 hlaufend10-30 min je Item
Participantsdifferent
1-84-102-121-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationCurrent-state map, Future-state map, Bottleneck listThroughput Data, Flow Forecast, Slicing RulesThree-Point Estimate, Risk Range, Assumption Notes
Tagsno overlap
ForecastingFlowDelivery
LeanFlowWasteDelivery
EstimationForecastingFlow
EstimationUncertaintyForecasting
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