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| Criterion |  Agile Bucket System |  Agile NoEstimates |  Engineering Kanban |  Agile Story Splitting |
|---|---|---|---|---|
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 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 work sits in too many parallel streams, throughput suffers and no one sees the bottlenecks. Kanban makes the flow of work visible and limits overload so a system becomes calmer and more predictable. | When a story becomes too large for a clean flow, it breaks scope down along value and risk. It shapes the work into a form that ships earlier and is easier to verify. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 30-90 min | laufend | Ongoing | 30-60 min |
Participantsdifferent | 3-12 | 2-12 | 2-12 | 2-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Bucketed Backlog, Relative Estimates, Split Candidates | Throughput Data, Flow Forecast, Slicing Rules | Kanban board, WIP policies, Flow metrics | Smaller Stories, Acceptance Criteria, Split Rationale |
Tagsno overlap | EstimationBacklogRelative sizing | EstimationForecastingFlow | FlowVisual managementDelivery | BacklogIterationDelivery |