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| Criterion |  Decision Making Delphi Method |  Agile Affinity Estimation |  Agile Bucket System |  Agile NoEstimates |
|---|---|---|---|---|
Purposedifferent | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. | 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. | 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. | 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. |
Complexitydifferent | High | Medium | Medium | Medium |
Timedifferent | 1-4 Wochen | 30-90 min | 30-90 min | laufend |
Participantsdifferent | 6-30 Experten | 3-12 | 3-12 | 2-12 |
Formatdifferent | Async | Workshop | Workshop | Workshop + async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Affinity Size Map, Grouped Estimates, Unclear Items | Bucketed Backlog, Relative Estimates, Split Candidates | Throughput Data, Flow Forecast, Slicing Rules |
Tagsno overlap | ForecastingExpertsDecisionStrategy | EstimationBacklogRelative sizing | EstimationBacklogRelative sizing | EstimationForecastingFlow |