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| Criterion |  Facilitation Dot Voting |  Operations ABC Analysis |  Agile NoEstimates |  Delivery Monte Carlo Forecasting |
|---|---|---|---|---|
Purposedifferent | 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. | With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention. | When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules. | 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. |
Complexitydifferent | Low | Low | Medium | High |
Timedifferent | 5-15 min | 30-60 min | laufend | 30-90 min Setup, danach laufend |
Participantsdifferent | 3-20 | 1-5 | 2-12 | 1-8 |
Formatdifferent | Workshop | Async | Workshop + async | Workshop + async |
Outputdifferent | Ranked list, Consensus signal, Shortlist | ABC Classification, Focus Rules, Control List | Throughput Data, Flow Forecast, Slicing Rules | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | FacilitationVotingConsensusPrioritization | PrioritizationOperationsPortfolio | EstimationForecastingFlow | ForecastingFlowDelivery |