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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
Stakeholder Mapping
Facilitation
Stakeholder Mapping
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.When an initiative depends on many people, interests, and power dynamics, Stakeholder Mapping systematically orders the environment. It shows who influences, who is affected, and where relationship management or safeguarding matters first.
Complexitydifferent
HighLowLow
Timedifferent
30-90 min Setup, danach laufend5-15 min60–90 min
Participantsdifferent
1-83-202-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationRanked list, Consensus signal, ShortlistStakeholder Map, Engagement Plan, Risk Notes
Tagsno overlap
ForecastingFlowDelivery
FacilitationVotingConsensusPrioritization
StakeholdersAlignmentFacilitationChange
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Often compared together

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

Paper illustration for Alignment Mapping.
Facilitation
Alignment Mapping
Paper illustration of the Consensus Workshop working structure.
Facilitation
Consensus Workshop
Independent contributions form an ordered group priority list.
Facilitation
Nominal Group Technique
Paper illustration of Power-Interest Grid with a method-specific labelled workspace.
Facilitation
Power Interest Grid