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Criterion
Paper illustration for Three-Point Estimation.
Decision Making
Three-Point Estimation
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
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.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.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.A single opinion rarely holds up for planning when the future is genuinely uncertain. It separates options, evaluation criteria, and open risks. The result is captured as an Estimate Range, Assumption Log, and Expert Consensus Notes.
Complexitydifferent
MediumHighMediumHigh
Timedifferent
10-30 min je Item1-4 Wochen30-90 min1-4 h or multiple rounds
Participantsdifferent
1-86-30 Experten1-64-12 Experten
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Three-Point Estimate, Risk Range, Assumption NotesExpert Forecast, Consensus Range, Assumption NotesDecision Tree, Option Map, Assumption ListEstimate Range, Assumption Log, Expert Consensus Notes
Tagsno overlap
EstimationUncertaintyForecasting
ForecastingExpertsDecisionStrategy
DecisionTreeOptions
EstimationExpertsForecasting
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