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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration for Ideal Days.
Agile
Ideal Days
Paper illustration for Dot Estimation.
Facilitation
Dot Estimation
Purposedifferent
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 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 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.When size or effort can only be estimated roughly, Dot Estimation condenses the group's experience into a quick range. It turns individual contributions into a visible selection. The result is captured as an Effort Heatmap, Risk Signals, and Discussion Targets.
Complexitydifferent
HighMediumLowLow
Timedifferent
30-90 min Setup, danach laufendlaufend15-60 min5-20 min
Participantsdifferent
1-82-122-93-20
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationThroughput Data, Flow Forecast, Slicing RulesIdeal Day Estimates, Assumption Notes, Capacity CaveatsEffort Heatmap, Risk Signals, Discussion Targets
Tagsno overlap
ForecastingFlowDelivery
EstimationForecastingFlow
EstimationEffortAgile
EstimationEffortRisk
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