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| Criterion |  Product Discovery Dual-Track Agile |  Agile Story Points |  Operations Bottleneck Analysis |  Agile NoEstimates |
|---|---|---|---|---|
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 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. | For a flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | Laufend, Wochen bis Monate | laufend, 1-5 min je Item | 1-3 h | laufend |
Participantsdifferent | 4-10 | 3-9 | 3-8 | 2-12 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Discovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte Stories | Point Estimates, Reference Stories, Velocity Data | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | Throughput Data, Flow Forecast, Slicing Rules |
Tagsno overlap | AgileDiscoveryDelivery | EstimationAgileMeasurement | FlowMeasurementConstraints | EstimationForecastingFlow |