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| Criterion | ![]() Decision Making Decision Matrix | ![]() Agile NoEstimates | ![]() Decision Making Decision Tree | ![]() Decision Making Delphi Method |
|---|---|---|---|---|
Purposedifferent | When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. | 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. | 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. |
Complexitydifferent | Medium | Medium | Medium | High |
Timedifferent | 45-90 min | laufend | 30-90 min | 1-4 Wochen |
Participantsdifferent | 2-8 | 2-12 | 1-6 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Decision Matrix, Scoring Rationale, Selected Option | Throughput Data, Flow Forecast, Slicing Rules | Decision Tree, Option Map, Assumption List | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | DecisionCriteriaScoringTradeoffs | EstimationForecastingFlow | DecisionTreeOptions | ForecastingExpertsDecisionStrategy |



