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| Criterion |  Decision Making Delphi Method |  Agile Planning Poker |  Agile Affinity Estimation |  Agile Bucket System |
|---|---|---|---|---|
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 estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions. | 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. |
Complexitydifferent | High | Low | Medium | Medium |
Timedifferent | 1-4 Wochen | 2-5 min je Item | 30-90 min | 30-90 min |
Participantsdifferent | 6-30 Experten | 3-9 | 3-12 | 3-12 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Relative Estimates, Assumption Notes, Split Candidates | Affinity Size Map, Grouped Estimates, Unclear Items | Bucketed Backlog, Relative Estimates, Split Candidates |
Tagsno overlap | ForecastingExpertsDecisionStrategy | EstimationAgileRelative sizingTeam | EstimationBacklogRelative sizing | EstimationBacklogRelative sizing |