View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Engineering Kanban |  Agile Story Splitting |  Agile Ideal Days |  Product Discovery Dual-Track Agile |
|---|---|---|---|---|
Purposedifferent | 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. | When effort needs to be thought of as real working time, it offers a simple common denominator for comparison. It sorts work by value, risk, and delivery ability. The result is captured as Ideal Day Estimates, Assumption Notes, and Capacity Caveats. | 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. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | Ongoing | 30-60 min | 15-60 min | Laufend, Wochen bis Monate |
Participantsdifferent | 2-12 | 2-6 | 2-9 | 4-10 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Kanban board, WIP policies, Flow metrics | Smaller Stories, Acceptance Criteria, Split Rationale | Ideal Day Estimates, Assumption Notes, Capacity Caveats | Discovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte Stories |
Tagsno overlap | FlowVisual managementDelivery | BacklogIterationDelivery | EstimationEffortAgile | AgileDiscoveryDelivery |