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Criterion
Paper illustration for Ideal Days.
Agile
Ideal Days
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration for Bucket System.
Agile
Bucket System
Purposedifferent
When effort needs to be thought of as real working time, it offers a simple common denominator for comparison. It sorts work by value, risk, and delivery ability. The result is captured as Ideal Day Estimates, Assumption Notes, and Capacity Caveats.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.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 a large batch of work needs a fast, rough estimate, it sorts items into predefined size buckets. It sorts work by value, risk, and delivery ability. The result is captured as a Bucketed Backlog, Relative Estimates, and Split Candidates.
Complexitydifferent
LowHighMediumMedium
Timedifferent
15-60 min30-90 min Setup, danach laufend30-90 min30-90 min
Participantsdifferent
2-91-83-123-12
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop
Outputdifferent
Ideal Day Estimates, Assumption Notes, Capacity CaveatsForecast Percentiles, Throughput Dataset, Risk CommunicationAffinity Size Map, Grouped Estimates, Unclear ItemsBucketed Backlog, Relative Estimates, Split Candidates
Tagsno overlap
EstimationEffortAgile
ForecastingFlowDelivery
EstimationBacklogRelative sizing
EstimationBacklogRelative sizing
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