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Criterion
Paper illustration for NoEstimates.
Agile
NoEstimates
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Purposedifferent
When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules.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.When many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes.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
laufend1-4 Wochen30-90 min1-4 h or multiple rounds
Participantsdifferent
2-126-30 Experten3-124-12 Experten
Formatdifferent
Workshop + asyncAsyncWorkshopWorkshop + async
Outputdifferent
Throughput Data, Flow Forecast, Slicing RulesExpert Forecast, Consensus Range, Assumption NotesAffinity Size Map, Grouped Estimates, Unclear ItemsEstimate Range, Assumption Log, Expert Consensus Notes
Tagsno overlap
EstimationForecastingFlow
ForecastingExpertsDecisionStrategy
EstimationBacklogRelative sizing
EstimationExpertsForecasting
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