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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration of the Lightning Decision Jam working structure.
Facilitation
Decision Jam
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 decision is stuck, Decision Jam loosens the knot through structured separation of problem, idea, and selection. The format creates movement without jumping prematurely at the first seemingly elegant answer.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 laufend60-90 min60–90 min
Participantsdifferent
1-84-102-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationProblem Cluster, Prioritized Challenge, ExperimentStakeholder Map, Engagement Plan, Risk Notes
Tagsno overlap
ForecastingFlowDelivery
FacilitationDecisionProblem solvingWorkshop
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
Paper illustration of Power-Interest Grid with a method-specific labelled workspace.
Facilitation
Power Interest Grid
Paper illustration of Stakeholder Salience Model with its method-specific working model.
Facilitation
Stakeholder Salience Model