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| Criterion |  Agile Affinity Estimation |  Decision Making Delphi Method |  Decision Making Decision Tree |
|---|---|---|---|
Purposedifferent | 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 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. | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. |
Complexitydifferent | Medium | High | Medium |
Timedifferent | 30-90 min | 1-4 Wochen | 30-90 min |
Participantsdifferent | 3-12 | 6-30 Experten | 1-6 |
Formatdifferent | Workshop | Async | Workshop + async |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Expert Forecast, Consensus Range, Assumption Notes | Decision Tree, Option Map, Assumption List |
Tagsno overlap | EstimationBacklogRelative sizing | ForecastingExpertsDecisionStrategy | DecisionTreeOptions |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
