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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Alignment Mapping.
Facilitation
Alignment Mapping
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of Power-Interest Grid with a method-specific labelled workspace.
Facilitation
Power Interest Grid
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 knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.When many stakeholders compete for attention at once, the Power Interest Grid sorts them by influence and stake. It turns individual contributions into a visible selection. The result is captured as a Power Interest Grid and a stakeholder-specific strategy.
Complexitydifferent
HighMediumHighLow
Timedifferent
30-90 min Setup, danach laufend1-2 h1-4 Wochen30-60 min
Participantsdifferent
1-84-126-30 Experten2-8
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationAlignment Map, Open Issues, Decision QuestionsExpert Forecast, Consensus Range, Assumption NotesPower Interest Grid, Strategy per Stakeholder
Tagsno overlap
ForecastingFlowDelivery
AlignmentStakeholdersStrategyFacilitation
ForecastingExpertsDecisionStrategy
StakeholdersFacilitationAlignmentPlanning
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