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Criterion
Paper illustration for Three-Point Estimation.
Decision Making
Three-Point Estimation
Process Mapping method illustration showing its working structure
Operations
Process Mapping
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Theory of Constraints.
Operations
Theory of Constraints
Purposedifferent
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.With a confusing workflow that has many handoffs, the method makes the actual process visible. It shows where work is passed on, delayed, or duplicated, so improvement targets the right spots.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 system that does not get faster despite effort, the method directs attention to the bottleneck. It concentrates improvement on the point that actually limits throughput.
Complexitydifferent
MediumMediumHighHigh
Timedifferent
10-30 min je Item1-3 h30-90 min Setup, danach laufend2-4 h Analyse, laufend
Participantsdifferent
1-83-101-83-12
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Three-Point Estimate, Risk Range, Assumption NotesProcess Map, Handoff List, Improvement BacklogForecast Percentiles, Throughput Dataset, Risk CommunicationConstraint Map, Improvement Plan, Flow Metrics
Tagsno overlap
EstimationUncertaintyForecasting
ProcessOperationsImprovement
ForecastingFlowDelivery
OperationsConstraintsFlowImprovement
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