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Criterion
Paper illustration of a four-column Kanban board with limited ongoing work, a visible blocker and a review loop.
Engineering
Kanban
Story Splitting method illustration showing its working structure
Agile
Story Splitting
Paper illustration of Dual Track Agile with its method-specific working model.
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 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.
Complexitysame
MediumMediumMedium
Timedifferent
Ongoing30-60 minLaufend, Wochen bis Monate
Participantsdifferent
2-122-64-10
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Kanban board, WIP policies, Flow metricsSmaller Stories, Acceptance Criteria, Split RationaleDiscovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte Stories
Tags1 shared
FlowVisual managementDelivery
BacklogIterationDelivery
AgileDiscoveryDelivery
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration of Product Kata with its method-specific working model.
Product Discovery
Product Kata
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping