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| Criterion |  Agile Bucket System |  Product Discovery Dual-Track Agile |  Agile Story Points |  Agile Affinity Estimation |
|---|---|---|---|---|
Purposedifferent | 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 uncertainty and delivery run in parallel, it separates learning work from implementation while keeping both connected. It prevents unvalidated ideas from falling directly into the delivery stream. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 30-90 min | Laufend, Wochen bis Monate | laufend, 1-5 min je Item | 30-90 min |
Participantsdifferent | 3-12 | 4-10 | 3-9 | 3-12 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Bucketed Backlog, Relative Estimates, Split Candidates | Discovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte Stories | Point Estimates, Reference Stories, Velocity Data | Affinity Size Map, Grouped Estimates, Unclear Items |
Tagsno overlap | EstimationBacklogRelative sizing | AgileDiscoveryDelivery | EstimationAgileMeasurement | EstimationBacklogRelative sizing |