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| Criterion |  Product Discovery Dual-Track Agile |  Agile Affinity Estimation |  Agile Bucket System |  Agile Story Splitting |
|---|---|---|---|---|
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 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 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 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 | Laufend, Wochen bis Monate | 30-90 min | 30-90 min | 30-60 min |
Participantsdifferent | 4-10 | 3-12 | 3-12 | 2-6 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Discovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte Stories | Affinity Size Map, Grouped Estimates, Unclear Items | Bucketed Backlog, Relative Estimates, Split Candidates | Smaller Stories, Acceptance Criteria, Split Rationale |
Tagsno overlap | AgileDiscoveryDelivery | EstimationBacklogRelative sizing | EstimationBacklogRelative sizing | BacklogIterationDelivery |