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Criterion
Paper illustration for Three-Point Estimation.
Decision Making
Three-Point Estimation
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Bucket System.
Agile
Bucket System
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
A single estimate for effort, time, or risk often looks too smooth for the real uncertainty behind it. It separates options, evaluation criteria, and open risks. The result is captured as a Three-Point Estimate, Risk Range, and Assumption 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 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.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.
Complexitydifferent
MediumHighMediumLow
Timedifferent
10-30 min je Item1-4 Wochen30-90 min1-2 h
Participantsdifferent
1-86-30 Experten3-122-8
Formatdifferent
Workshop + asyncAsyncWorkshopWorkshop + async
Outputdifferent
Three-Point Estimate, Risk Range, Assumption NotesExpert Forecast, Consensus Range, Assumption NotesBucketed Backlog, Relative Estimates, Split CandidatesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
EstimationUncertaintyForecasting
ForecastingExpertsDecisionStrategy
EstimationBacklogRelative sizing
StrategyDecisionAssumptionsHypothesis
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