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| Criterion |  Agile Story Splitting |  Agile Affinity Estimation |  Product Strategy DIBB |  Agile Bucket System |
|---|---|---|---|---|
Purposedifferent | When a story becomes too large for a clean flow, it breaks scope down along value and risk. It shapes the work into a form that ships earlier and is easier to verify. | 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 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. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 30-60 min | 30-90 min | 1-2 h | 30-90 min |
Participantsdifferent | 2-6 | 3-12 | 2-8 | 3-12 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Smaller Stories, Acceptance Criteria, Split Rationale | Affinity Size Map, Grouped Estimates, Unclear Items | DIBB document, Belief list, Bet list, Learning report | Bucketed Backlog, Relative Estimates, Split Candidates |
Tagsno overlap | BacklogIterationDelivery | EstimationBacklogRelative sizing | StrategyDecisionAssumptionsHypothesis | EstimationBacklogRelative sizing |