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Criterion
Paper illustration for Planning Poker.
Agile
Planning Poker
Paper illustration for Bucket System.
Agile
Bucket System
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
When estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions.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
LowMediumLow
Timedifferent
2-5 min je Item30-90 min1-2 h
Participantsdifferent
3-93-122-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + async
Outputdifferent
Relative Estimates, Assumption Notes, Split CandidatesBucketed Backlog, Relative Estimates, Split CandidatesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
EstimationAgileRelative sizingTeam
EstimationBacklogRelative sizing
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
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of the Force Field Analysis working structure.
Decision Making
Force Field Analysis