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Criterion
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
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.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.
Complexitydifferent
HighHighMedium
Timedifferent
1-4 h or multiple rounds1-4 Wochen30-90 min
Participantsdifferent
4-12 Experten6-30 Experten3-12
Formatdifferent
Workshop + asyncAsyncWorkshop
Outputdifferent
Estimate Range, Assumption Log, Expert Consensus NotesExpert Forecast, Consensus Range, Assumption NotesAffinity Size Map, Grouped Estimates, Unclear Items
Tagsno overlap
EstimationExpertsForecasting
ForecastingExpertsDecisionStrategy
EstimationBacklogRelative sizing
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of the Force Field Analysis working structure.
Decision Making
Force Field Analysis