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| Criterion |  Agile Story Points |  Agile Bucket System |  Agile Specification by Example |  Agile Affinity Estimation |
|---|---|---|---|---|
Purposedifferent | When teams want to rate complexity rather than hours, it creates a shared, relative scale. It sorts work by value, risk, and delivery ability. The result is captured as Point Estimates, Reference Stories, and Velocity Data. | 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 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 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | laufend, 1-5 min je Item | 30-90 min | 60-90 min pro Feature | 30-90 min |
Participantsdifferent | 3-9 | 3-12 | 3-6 | 3-12 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop |
Outputdifferent | Point Estimates, Reference Stories, Velocity Data | Bucketed Backlog, Relative Estimates, Split Candidates | Example Table, Acceptance Tests | Affinity Size Map, Grouped Estimates, Unclear Items |
Tagsno overlap | EstimationAgileMeasurement | EstimationBacklogRelative sizing | AgileRequirementsExamplesBehavior-Driven Development | EstimationBacklogRelative sizing |