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Criterion
Paper illustration for Three-Point Estimation.
Decision Making
Three-Point Estimation
Paper illustration for Bottleneck Analysis.
Operations
Bottleneck Analysis
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
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.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.For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.
Complexitydifferent
MediumMediumMediumHigh
Timedifferent
10-30 min je Item1-3 h30-90 min1-4 Wochen
Participantsdifferent
1-83-81-66-30 Experten
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Three-Point Estimate, Risk Range, Assumption NotesBottleneck Map, Flow Metrics, Improvement Options, Follow-up MeasuresDecision Tree, Option Map, Assumption ListExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
EstimationUncertaintyForecasting
FlowMeasurementConstraints
DecisionTreeOptions
ForecastingExpertsDecisionStrategy
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