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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Bottleneck Analysis.
Operations
Bottleneck Analysis
Paper illustration for PERT Estimation.
Decision Making
PERT Estimation
Paper illustration for Dot Estimation.
Facilitation
Dot 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.For a flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput.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 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.
Complexitydifferent
HighMediumMediumLow
Timedifferent
30-90 min Setup, danach laufend1-3 h15-45 min5-20 min
Participantsdifferent
1-83-81-83-20
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationBottleneck Map, Flow Metrics, Improvement Options, Follow-up MeasuresPERT Estimate, Expected Value, Risk NotesEffort Heatmap, Risk Signals, Discussion Targets
Tagsno overlap
ForecastingFlowDelivery
FlowMeasurementConstraints
EstimationUncertaintyRisk
EstimationEffortRisk
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