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| Criterion |  Operations DMAIC |  Decision Making Wideband Delphi |  Delivery Monte Carlo Forecasting |
|---|---|---|---|
Purposedifferent | For a process problem with fluctuating performance, the method brings analysis and improvement into a disciplined sequence. It creates a framework in which numbers, causes, and control come together. | A single opinion rarely holds up for planning when the future is genuinely uncertain. It separates options, evaluation criteria, and open risks. The result is captured as an Estimate Range, Assumption Log, and Expert Consensus Notes. | 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. |
Complexitysame | High | High | High |
Timedifferent | 2-12 Wochen | 1-4 h or multiple rounds | 30-90 min Setup, danach laufend |
Participantsdifferent | 3-10 | 4-12 Experten | 1-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Project Charter, Measurement Plan, Cause Analysis, Control Plan | Estimate Range, Assumption Log, Expert Consensus Notes | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | Continuous improvementQualityProcess improvement | EstimationExpertsForecasting | ForecastingFlowDelivery |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
