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Criterion
Paper illustration for Three-Point Estimation.
Decision Making
Three-Point Estimation
Paper illustration for NoEstimates.
Agile
NoEstimates
Independent contributions form an ordered group priority list.
Facilitation
Nominal Group Technique
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
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.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 loud voices could dominate a round, Nominal Group Technique protects individual thinking time from group effects. It collects ideas separately first and only then enables shared weighting.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
MediumMediumMediumHigh
Timedifferent
10-30 min je Itemlaufend60-120 min30-90 min Setup, danach laufend
Participantsdifferent
1-82-125-121-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Three-Point Estimate, Risk Range, Assumption NotesThroughput Data, Flow Forecast, Slicing RulesRanked Ideas, Clarified Options, Group PriorityForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
EstimationUncertaintyForecasting
EstimationForecastingFlow
FacilitationPrioritizationVotingInclusion
ForecastingFlowDelivery
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