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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Paper illustration for Bucket System.
Agile
Bucket System
Purposedifferent
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.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 a large batch of work needs a fast, rough estimate, it sorts items into predefined size buckets. It sorts work by value, risk, and delivery ability. The result is captured as a Bucketed Backlog, Relative Estimates, and Split Candidates.
Complexitydifferent
HighHighMedium
Timedifferent
1-4 Wochen1-4 h or multiple rounds30-90 min
Participantsdifferent
6-30 Experten4-12 Experten3-12
Formatdifferent
AsyncWorkshop + asyncWorkshop
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesEstimate Range, Assumption Log, Expert Consensus NotesBucketed Backlog, Relative Estimates, Split Candidates
Tagsno overlap
ForecastingExpertsDecisionStrategy
EstimationExpertsForecasting
EstimationBacklogRelative sizing
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
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