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| Criterion |  Decision Making Wideband Delphi |  Agile Affinity Estimation |  Delivery Monte Carlo Forecasting |  Agile Bucket System |
|---|---|---|---|---|
Purposedifferent | 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. | When many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes. | 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 large batch of work needs a fast, rough estimate, it sorts items into predefined size buckets. It sorts work by value, risk, and delivery ability. The result is captured as a Bucketed Backlog, Relative Estimates, and Split Candidates. |
Complexitydifferent | High | Medium | High | Medium |
Timedifferent | 1-4 h or multiple rounds | 30-90 min | 30-90 min Setup, danach laufend | 30-90 min |
Participantsdifferent | 4-12 Experten | 3-12 | 1-8 | 3-12 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Estimate Range, Assumption Log, Expert Consensus Notes | Affinity Size Map, Grouped Estimates, Unclear Items | Forecast Percentiles, Throughput Dataset, Risk Communication | Bucketed Backlog, Relative Estimates, Split Candidates |
Tagsno overlap | EstimationExpertsForecasting | EstimationBacklogRelative sizing | ForecastingFlowDelivery | EstimationBacklogRelative sizing |