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Criterion
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Paper illustration for Bottleneck Analysis.
Operations
Bottleneck Analysis
Paper illustration for Story Points.
Agile
Story Points
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Purposedifferent
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.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.When teams want to rate complexity rather than hours, it creates a shared, relative scale. It sorts work by value, risk, and delivery ability. The result is captured as Point Estimates, Reference Stories, and Velocity Data.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
HighMediumMediumHigh
Timedifferent
1-4 h or multiple rounds1-3 hlaufend, 1-5 min je Item1-4 Wochen
Participantsdifferent
4-12 Experten3-83-96-30 Experten
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Estimate Range, Assumption Log, Expert Consensus NotesBottleneck Map, Flow Metrics, Improvement Options, Follow-up MeasuresPoint Estimates, Reference Stories, Velocity DataExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
EstimationExpertsForecasting
FlowMeasurementConstraints
EstimationAgileMeasurement
ForecastingExpertsDecisionStrategy
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