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| Criterion |  Delivery Monte Carlo Forecasting |  Facilitation Dot Voting |  Facilitation Alignment 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 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 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 | High | Low | Medium | Low |
Timedifferent | 30-90 min Setup, danach laufend | 5-15 min | 1-2 h | 60–90 min |
Participantsdifferent | 1-8 | 3-20 | 4-12 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Ranked list, Consensus signal, Shortlist | Alignment Map, Open Issues, Decision Questions | Stakeholder Map, Engagement Plan, Risk Notes |
Tagsno overlap | ForecastingFlowDelivery | FacilitationVotingConsensusPrioritization | AlignmentStakeholdersStrategyFacilitation | StakeholdersAlignmentFacilitationChange |