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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Dot Estimation.
Facilitation
Dot Estimation
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 size or effort can only be estimated roughly, Dot Estimation condenses the group's experience into a quick range. It turns individual contributions into a visible selection. The result is captured as an Effort Heatmap, Risk Signals, and Discussion Targets.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
HighLowMedium
Timedifferent
30-90 min Setup, danach laufend5-20 min10-30 min je Item
Participantsdifferent
1-83-201-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationEffort Heatmap, Risk Signals, Discussion TargetsThree-Point Estimate, Risk Range, Assumption Notes
Tagsno overlap
ForecastingFlowDelivery
EstimationEffortRisk
EstimationUncertaintyForecasting
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