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| Criterion |  Operations ABC Analysis |  Agile NoEstimates |  Facilitation Nominal Group Technique |  Delivery Monte Carlo Forecasting |
|---|---|---|---|---|
Purposedifferent | 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. | When loud voices could dominate a round, Nominal Group Technique protects individual thinking time from group effects. It collects ideas separately first and only then enables shared weighting. | 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 | Medium | Medium | High |
Timedifferent | 30-60 min | laufend | 60-120 min | 30-90 min Setup, danach laufend |
Participantsdifferent | 1-5 | 2-12 | 5-12 | 1-8 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | ABC Classification, Focus Rules, Control List | Throughput Data, Flow Forecast, Slicing Rules | Ranked Ideas, Clarified Options, Group Priority | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | PrioritizationOperationsPortfolio | EstimationForecastingFlow | FacilitationPrioritizationVotingInclusion | ForecastingFlowDelivery |