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| Criterion |  Agile Story Points |  Agile Affinity Estimation |  Agile Specification by Example |  Agile Bucket System |
|---|---|---|---|---|
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 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. |
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 | Affinity Size Map, Grouped Estimates, Unclear Items | Example Table, Acceptance Tests | Bucketed Backlog, Relative Estimates, Split Candidates |
Tagsno overlap | EstimationAgileMeasurement | EstimationBacklogRelative sizing | AgileRequirementsExamplesBehavior-Driven Development | EstimationBacklogRelative sizing |