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Criterion
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 of Cost of Delay with its method-specific working model.
Delivery
Cost of Delay
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
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.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.Helps clarify scope, order, and delivery flow in concrete terms. It makes work, constraints, and sequence manageable. The result is captured as a Cost of Delay table and prioritization sequence.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
HighMediumHighLow
Timedifferent
1-4 Wochen30-90 min90-180 min1-2 h
Participantsdifferent
6-30 Experten3-123-82-8
Formatdifferent
AsyncWorkshopWorkshopWorkshop + async
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesAffinity Size Map, Grouped Estimates, Unclear ItemsCoD Table, Prioritization SequenceDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
ForecastingExpertsDecisionStrategy
EstimationBacklogRelative sizing
PrioritizationDeliveryEconomicsDecision
StrategyDecisionAssumptionsHypothesis
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