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| Criterion |  Agile Affinity Estimation |  Agile NoEstimates |  Growth A/B Testing |  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. | When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | 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 | Medium | High | Medium |
Timedifferent | 30-90 min | laufend | 1-4 Wochen | 30-90 min |
Participantsdifferent | 3-12 | 2-12 | 1-6 | 3-12 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Throughput Data, Flow Forecast, Slicing Rules | Experiment results, Decision log, Learning summary | Bucketed Backlog, Relative Estimates, Split Candidates |
Tagsno overlap | EstimationBacklogRelative sizing | EstimationForecastingFlow | ExperimentsGrowthAnalyticsValidation | EstimationBacklogRelative sizing |