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| Criterion |  Decision Making Decision Tree |  Agile Ideal Days |  Decision Making Delphi Method |
|---|---|---|---|
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 effort needs to be thought of as real working time, it offers a simple common denominator for comparison. It sorts work by value, risk, and delivery ability. The result is captured as Ideal Day Estimates, Assumption Notes, and Capacity Caveats. | 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. |
Complexitydifferent | Medium | Low | High |
Timedifferent | 30-90 min | 15-60 min | 1-4 Wochen |
Participantsdifferent | 1-6 | 2-9 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop + async | Async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Ideal Day Estimates, Assumption Notes, Capacity Caveats | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | DecisionTreeOptions | EstimationEffortAgile | ForecastingExpertsDecisionStrategy |
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