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| Criterion |  Agile Affinity Estimation |  Product Strategy DIBB |  Domain Modeling Bounded Context Canvas |  Agile Bucket System |
|---|---|---|---|---|
Purposedifferent | 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 business context is still loosely outlined, it shapes language, responsibility, and integration space. It clarifies what belongs together and where a boundary needs to hold. | 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 | Low | Medium | Medium |
Timedifferent | 30-90 min | 1-2 h | 1-3 h | 30-90 min |
Participantsdifferent | 3-12 | 2-8 | 3-8 | 3-12 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | DIBB document, Belief list, Bet list, Learning report | Context Canvas, Glossary, Integration Notes | Bucketed Backlog, Relative Estimates, Split Candidates |
Tagsno overlap | EstimationBacklogRelative sizing | StrategyDecisionAssumptionsHypothesis | Domain-Driven DesignBoundariesModeling | EstimationBacklogRelative sizing |