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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for PERT Estimation.
Decision Making
PERT Estimation
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.On complex initiatives, a plain average tends to understate just how uncertain the outcome really is. It separates options, evaluation criteria, and open risks. The result is captured as a PERT Estimate, Expected Value, and Risk Notes.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
HighMediumMedium
Timedifferent
30-90 min Setup, danach laufend15-45 minlaufend
Participantsdifferent
1-81-82-12
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationPERT Estimate, Expected Value, Risk NotesThroughput Data, Flow Forecast, Slicing Rules
Tagsno overlap
ForecastingFlowDelivery
EstimationUncertaintyRisk
EstimationForecastingFlow
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Often compared together

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
Paper illustration for Dot Estimation.
Facilitation
Dot Estimation
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping