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Criterion
Paper illustration for Planning Poker.
Agile
Planning Poker
Paper illustration for Three-Point Estimation.
Decision Making
Three-Point Estimation
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Purposedifferent
When estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions.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.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.
Complexitydifferent
LowMediumHighMedium
Timedifferent
2-5 min je Item10-30 min je Item30-90 min Setup, danach laufend30-90 min
Participantsdifferent
3-91-81-83-12
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Relative Estimates, Assumption Notes, Split CandidatesThree-Point Estimate, Risk Range, Assumption NotesForecast Percentiles, Throughput Dataset, Risk CommunicationAffinity Size Map, Grouped Estimates, Unclear Items
Tagsno overlap
EstimationAgileRelative sizingTeam
EstimationUncertaintyForecasting
ForecastingFlowDelivery
EstimationBacklogRelative sizing
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