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Criterion
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration of Dual Track Agile with its method-specific working model.
Product Discovery
Dual-Track Agile
Story Splitting method illustration showing its working structure
Agile
Story Splitting
Purposedifferent
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 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 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
MediumMediumMedium
Timedifferent
30-90 minLaufend, Wochen bis Monate30-60 min
Participantsdifferent
3-124-102-6
Formatdifferent
WorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Affinity Size Map, Grouped Estimates, Unclear ItemsDiscovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte StoriesSmaller Stories, Acceptance Criteria, Split Rationale
Tagsno overlap
EstimationBacklogRelative sizing
AgileDiscoveryDelivery
BacklogIterationDelivery
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Paper illustration of Product Kata with its method-specific working model.
Product Discovery
Product Kata