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Criterion
Paper illustration for Bucket System.
Agile
Bucket System
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
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.When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules.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
MediumMediumLow
Timedifferent
30-90 minlaufend1-2 h
Participantsdifferent
3-122-122-8
Formatdifferent
WorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Bucketed Backlog, Relative Estimates, Split CandidatesThroughput Data, Flow Forecast, Slicing RulesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
EstimationBacklogRelative sizing
EstimationForecastingFlow
StrategyDecisionAssumptionsHypothesis
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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
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration of the Force Field Analysis working structure.
Decision Making
Force Field Analysis