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Criterion
Paper illustration for Three-Point Estimation.
Decision Making
Three-Point Estimation
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Paper illustration for Bottleneck Analysis.
Operations
Bottleneck Analysis
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.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 an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped.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.
Complexitydifferent
MediumHighLowMedium
Timedifferent
10-30 min je Item30-90 min Setup, danach laufend30-90 min1-3 h
Participantsdifferent
1-81-82-83-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Three-Point Estimate, Risk Range, Assumption NotesForecast Percentiles, Throughput Dataset, Risk CommunicationConstraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesBottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures
Tagsno overlap
EstimationUncertaintyForecasting
ForecastingFlowDelivery
ConstraintsDecisionPlanningOptions
FlowMeasurementConstraints
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