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| Criterion |  Decision Making Decision Tree |  Facilitation Dot Estimation |  Agile NoEstimates |  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 size or effort can only be estimated roughly, Dot Estimation condenses the group's experience into a quick range. It turns individual contributions into a visible selection. The result is captured as an Effort Heatmap, Risk Signals, and Discussion Targets. | When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules. | 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 | Medium | High |
Timedifferent | 30-90 min | 5-20 min | laufend | 1-4 Wochen |
Participantsdifferent | 1-6 | 3-20 | 2-12 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Effort Heatmap, Risk Signals, Discussion Targets | Throughput Data, Flow Forecast, Slicing Rules | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | DecisionTreeOptions | EstimationEffortRisk | EstimationForecastingFlow | ForecastingExpertsDecisionStrategy |