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Criterion
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Planning Poker.
Agile
Planning Poker
Purposedifferent
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.When estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions.
Complexitydifferent
MediumHighLow
Timedifferent
laufend30-90 min Setup, danach laufend2-5 min je Item
Participantsdifferent
2-121-83-9
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Throughput Data, Flow Forecast, Slicing RulesForecast Percentiles, Throughput Dataset, Risk CommunicationRelative Estimates, Assumption Notes, Split Candidates
Tagsno overlap
EstimationForecastingFlow
ForecastingFlowDelivery
EstimationAgileRelative sizingTeam
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration of Dual Track Agile with its method-specific working model.
Product Discovery
Dual-Track Agile