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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Alignment Mapping.
Facilitation
Alignment Mapping
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 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 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
HighMediumLowLow
Timedifferent
30-90 min Setup, danach laufend1-2 h5-15 min60–90 min
Participantsdifferent
1-84-123-202-8
Formatdifferent
Workshop + asyncWorkshopWorkshopWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationAlignment Map, Open Issues, Decision QuestionsRanked list, Consensus signal, ShortlistStakeholder Map, Engagement Plan, Risk Notes
Tagsno overlap
ForecastingFlowDelivery
AlignmentStakeholdersStrategyFacilitation
FacilitationVotingConsensusPrioritization
StakeholdersAlignmentFacilitationChange
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