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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
Paper illustration for Three-Point Estimation.
Decision Making
Three-Point Estimation
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.A single estimate for effort, time, or risk often looks too smooth for the real uncertainty behind it. It separates options, evaluation criteria, and open risks. The result is captured as a Three-Point Estimate, Risk Range, and Assumption Notes.
Complexitydifferent
MediumHighMedium
Timedifferent
30-60 min30-90 min Setup, danach laufend10-30 min je Item
Participantsdifferent
2-61-81-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Smaller Stories, Acceptance Criteria, Split RationaleForecast Percentiles, Throughput Dataset, Risk CommunicationThree-Point Estimate, Risk Range, Assumption Notes
Tagsno overlap
BacklogIterationDelivery
ForecastingFlowDelivery
EstimationUncertaintyForecasting
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