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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Alignment Mapping.
Facilitation
Alignment Mapping
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 several people work toward one goal but hold different mental maps, Alignment Mapping makes the discrepancies visible. It arranges goals, assumptions, and priorities so shared direction becomes verifiable.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
HighMediumMedium
Timedifferent
30-90 min Setup, danach laufend1-2 h60-120 min
Participantsdifferent
1-84-125-12
Formatdifferent
Workshop + asyncWorkshopWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationAlignment Map, Open Issues, Decision QuestionsRanked Ideas, Clarified Options, Group Priority
Tagsno overlap
ForecastingFlowDelivery
AlignmentStakeholdersStrategyFacilitation
FacilitationPrioritizationVotingInclusion
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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 of Power-Interest Grid with a method-specific labelled workspace.
Facilitation
Power Interest Grid
Stakeholder Mapping
Facilitation
Stakeholder Mapping
Paper illustration of Stakeholder Salience Model with its method-specific working model.
Facilitation
Stakeholder Salience Model