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Criterion
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
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Purposedifferent
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.When delivery work dissolves into wait times, handoffs, and hidden effort, Value Stream Mapping makes the actual flow visible. The method exposes bottlenecks, idle time, and feedback loops so lead time and improvement levers become tangible.
Complexitysame
MediumMediumMedium
Timedifferent
30-60 minLaufend, Wochen bis Monate1-3 h
Participantsdifferent
2-64-104-10
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Smaller Stories, Acceptance Criteria, Split RationaleDiscovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte StoriesCurrent-state map, Future-state map, Bottleneck list
Tags1 shared
BacklogIterationDelivery
AgileDiscoveryDelivery
LeanFlowWasteDelivery
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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