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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for NoEstimates.
Agile
NoEstimates
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 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.
Complexitydifferent
HighMedium
Timedifferent
30-90 min Setup, danach laufendlaufend
Participantsdifferent
1-82-12
Formatsame
Workshop + asyncWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationThroughput Data, Flow Forecast, Slicing Rules
Tags2 shared
ForecastingFlowDelivery
EstimationForecastingFlow
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Methods with strong topical overlap with the current selection, not yet in the comparison.

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
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi