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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Alignment Mapping.
Facilitation
Alignment 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 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.
Complexitydifferent
HighMedium
Timedifferent
30-90 min Setup, danach laufend1-2 h
Participantsdifferent
1-84-12
Formatdifferent
Workshop + asyncWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationAlignment Map, Open Issues, Decision Questions
Tagsno overlap
ForecastingFlowDelivery
AlignmentStakeholdersStrategyFacilitation
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Often compared together

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

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
Paper illustration for 3-Circle Venn Diagram
Facilitation
3-Circle Venn Diagram