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Criterion
Story Splitting method illustration showing its working structure
Agile
Story Splitting
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
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.Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication.
Complexitydifferent
MediumHigh
Timedifferent
30-60 min30-90 min Setup, danach laufend
Participantsdifferent
2-61-8
Formatsame
Workshop + asyncWorkshop + async
Outputdifferent
Smaller Stories, Acceptance Criteria, Split RationaleForecast Percentiles, Throughput Dataset, Risk Communication
Tags1 shared
BacklogIterationDelivery
ForecastingFlowDelivery
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Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation