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Criterion
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Paper illustration for Bucket System.
Agile
Bucket System
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
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 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.Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication.
Complexitydifferent
HighMediumHigh
Timedifferent
1-4 h or multiple rounds30-90 min30-90 min Setup, danach laufend
Participantsdifferent
4-12 Experten3-121-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + async
Outputdifferent
Estimate Range, Assumption Log, Expert Consensus NotesBucketed Backlog, Relative Estimates, Split CandidatesForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
EstimationExpertsForecasting
EstimationBacklogRelative sizing
ForecastingFlowDelivery
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method