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| Criterion |  Agile T-Shirt Sizing |  Decision Making Delphi Method |  Decision Making Decision Tree |  Decision Making Wideband Delphi |
|---|---|---|---|---|
Purposedifferent | When effort only needs to be classified roughly, it makes comparability more important than false precision. It helps sort work quickly into manageable sizes. | 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. | A single opinion rarely holds up for planning when the future is genuinely uncertain. It separates options, evaluation criteria, and open risks. The result is captured as an Estimate Range, Assumption Log, and Expert Consensus Notes. |
Complexitydifferent | Low | High | Medium | High |
Timedifferent | 15-45 min | 1-4 Wochen | 30-90 min | 1-4 h or multiple rounds |
Participantsdifferent | 2-12 | 6-30 Experten | 1-6 | 4-12 Experten |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Size Buckets, Rough Backlog Map, Split Candidates | Expert Forecast, Consensus Range, Assumption Notes | Decision Tree, Option Map, Assumption List | Estimate Range, Assumption Log, Expert Consensus Notes |
Tagsno overlap | EstimationAgileRoadmap | ForecastingExpertsDecisionStrategy | DecisionTreeOptions | EstimationExpertsForecasting |