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| Criterion |  Decision Making Decision Tree |  Decision Making Delphi Method |  Agile Affinity Estimation |
|---|---|---|---|
Purposedifferent | 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. | 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. |
Complexitydifferent | Medium | High | Medium |
Timedifferent | 30-90 min | 1-4 Wochen | 30-90 min |
Participantsdifferent | 1-6 | 6-30 Experten | 3-12 |
Formatdifferent | Workshop + async | Async | Workshop |
Outputdifferent | Decision Tree, Option Map, Assumption List | Expert Forecast, Consensus Range, Assumption Notes | Affinity Size Map, Grouped Estimates, Unclear Items |
Tagsno overlap | DecisionTreeOptions | ForecastingExpertsDecisionStrategy | EstimationBacklogRelative sizing |
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