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| Criterion |  Agile Affinity Estimation |  Agile Specification by Example |  Agile Bucket System |  Agile Example Mapping |
|---|---|---|---|---|
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. | When business rules need to become precise, it ties language, example, and test together. It sorts work by value, risk, and delivery ability. The result is captured as an Example Table and Acceptance Tests. | 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 a story carries business rules and exceptions, it brings clarity before implementation. It makes examples, open questions, and boundaries visible enough that the logic becomes jointly sound. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 30-90 min | 60-90 min pro Feature | 30-90 min | 30-60 min |
Participantsdifferent | 3-12 | 3-6 | 3-12 | 3-7 |
Formatsame | Workshop | Workshop | Workshop | Workshop |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Example Table, Acceptance Tests | Bucketed Backlog, Relative Estimates, Split Candidates | Example Map, Acceptance Criteria, Open Questions |
Tagsno overlap | EstimationBacklogRelative sizing | AgileRequirementsExamplesBehavior-Driven Development | EstimationBacklogRelative sizing | Behavior-Driven DevelopmentRequirementsExamplesRefinement |