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Criterion
Paper illustration for Ideal Days.
Agile
Ideal Days
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration for Planning Poker.
Agile
Planning Poker
Purposedifferent
When effort needs to be thought of as real working time, it offers a simple common denominator for comparison. It sorts work by value, risk, and delivery ability. The result is captured as Ideal Day Estimates, Assumption Notes, and Capacity Caveats.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.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 estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions.
Complexitydifferent
LowMediumLowLow
Timedifferent
15-60 min30-90 min1-2 h2-5 min je Item
Participantsdifferent
2-93-122-83-9
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Ideal Day Estimates, Assumption Notes, Capacity CaveatsAffinity Size Map, Grouped Estimates, Unclear ItemsDIBB document, Belief list, Bet list, Learning reportRelative Estimates, Assumption Notes, Split Candidates
Tagsno overlap
EstimationEffortAgile
EstimationBacklogRelative sizing
StrategyDecisionAssumptionsHypothesis
EstimationAgileRelative sizingTeam
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