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| Criterion |  Product Discovery Dual-Track Agile |  Agile Bucket System |  Agile NoEstimates |  Agile Affinity Estimation |
|---|---|---|---|---|
Purposedifferent | 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 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 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 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, Wochen bis Monate | 30-90 min | laufend | 30-90 min |
Participantsdifferent | 4-10 | 3-12 | 2-12 | 3-12 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Discovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte Stories | Bucketed Backlog, Relative Estimates, Split Candidates | Throughput Data, Flow Forecast, Slicing Rules | Affinity Size Map, Grouped Estimates, Unclear Items |
Tagsno overlap | AgileDiscoveryDelivery | EstimationBacklogRelative sizing | EstimationForecastingFlow | EstimationBacklogRelative sizing |