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Criterion
Paper illustration for Bucket System.
Agile
Bucket System
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration for OODA Loop.
Decision Making
OODA Loop
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 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 It reduces the effort of fine-grained estimation for large volumes.In dynamic situations, decisions become outdated faster than they can be prepared. The OODA Loop holds observing, orienting, deciding, and acting together as a recurring rhythm so reaction does not slide into inertia.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
MediumMediumMediumLow
Timedifferent
30-90 min30-90 min15-60 min je Zyklus1-2 h
Participantsdifferent
3-123-121-82-8
Formatdifferent
WorkshopWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Bucketed Backlog, Relative Estimates, Split CandidatesAffinity Size Map, Grouped Estimates, Unclear ItemsSituation Assessment, Decision Loop, Action UpdatesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
EstimationBacklogRelative sizing
EstimationBacklogRelative sizing
DecisionChangeLearningStrategy
StrategyDecisionAssumptionsHypothesis
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