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Criterion
Paper illustration for Dot Estimation.
Facilitation
Dot Estimation
Paper illustration of RAID Log with a method-specific labelled workspace.
Delivery
RAID Log
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
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.Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as a RAID Log and a source for status reporting.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.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
LowLowMediumHigh
Timedifferent
5-20 min30 min Setup, dann laufendlaufend30-90 min Setup, danach laufend
Participantsdifferent
3-201-3 maintaining, briefing for everyone2-121-8
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Effort Heatmap, Risk Signals, Discussion TargetsRAID Log, Status Report SourceThroughput Data, Flow Forecast, Slicing RulesForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
EstimationEffortRisk
RiskTrackingStakeholdersGovernance
EstimationForecastingFlow
ForecastingFlowDelivery
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