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Criterion
Paper illustration for Bucket System.
Agile
Bucket System
Paper illustration for Dot Estimation.
Facilitation
Dot Estimation
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
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 size or effort can only be estimated roughly, Dot Estimation condenses the group's experience into a quick range. It turns individual contributions into a visible selection. The result is captured as an Effort Heatmap, Risk Signals, and Discussion Targets.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.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.
Complexitydifferent
MediumLowLowMedium
Timedifferent
30-90 min5-20 min1-2 h30-90 min
Participantsdifferent
3-123-202-83-12
Formatdifferent
WorkshopWorkshopWorkshop + asyncWorkshop
Outputdifferent
Bucketed Backlog, Relative Estimates, Split CandidatesEffort Heatmap, Risk Signals, Discussion TargetsDIBB document, Belief list, Bet list, Learning reportAffinity Size Map, Grouped Estimates, Unclear Items
Tagsno overlap
EstimationBacklogRelative sizing
EstimationEffortRisk
StrategyDecisionAssumptionsHypothesis
EstimationBacklogRelative sizing
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