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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Independent contributions form an ordered group priority list.
Facilitation
Nominal Group Technique
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 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.
Complexitydifferent
HighMedium
Timedifferent
30-90 min Setup, danach laufend60-120 min
Participantsdifferent
1-85-12
Formatdifferent
Workshop + asyncWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationRanked Ideas, Clarified Options, Group Priority
Tagsno overlap
ForecastingFlowDelivery
FacilitationPrioritizationVotingInclusion
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Often compared together

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

Paper illustration of shared options, independently placed voting dots, and a highlighted shortlist.
Facilitation
Dot Voting
Paper illustration for 1-2-4-All.
Facilitation
1-2-4-All
Paper illustration of Cost of Delay with its method-specific working model.
Delivery
Cost of Delay