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Criterion
Story Splitting method illustration showing its working structure
Agile
Story Splitting
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration of Dual Track Agile with its method-specific working model.
Product Discovery
Dual-Track Agile
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 estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules.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
30-60 minlaufendLaufend, Wochen bis Monate
Participantsdifferent
2-62-124-10
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Smaller Stories, Acceptance Criteria, Split RationaleThroughput Data, Flow Forecast, Slicing RulesDiscovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte Stories
Tagsno overlap
BacklogIterationDelivery
EstimationForecastingFlow
AgileDiscoveryDelivery
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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 for Affinity Estimation.
Agile
Affinity Estimation