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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration of shared options, independently placed voting dots, and a highlighted shortlist.
Facilitation
Dot Voting
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 a workshop has produced too many options and the group needs to condense quickly, dot voting makes preferences visible in a short time. It bundles individual votes into a solid signal for the next selection.
Complexitydifferent
HighLow
Timedifferent
30-90 min Setup, danach laufend5-15 min
Participantsdifferent
1-83-20
Formatdifferent
Workshop + asyncWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationRanked list, Consensus signal, Shortlist
Tagsno overlap
ForecastingFlowDelivery
FacilitationVotingConsensusPrioritization
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Independent contributions form an ordered group priority list.
Facilitation
Nominal Group Technique
Paper illustration of the Consensus Workshop working structure.
Facilitation
Consensus Workshop
Paper illustration of Cost of Delay with its method-specific working model.
Delivery
Cost of Delay