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| Criterion | ![]() Decision Making Decision Tree | ![]() Decision Making Delphi Method | ![]() Operations 5 Whys | ![]() Operations Root Cause Tree Analysis |
|---|---|---|---|---|
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. | For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. | For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie. |
Complexitydifferent | Medium | High | Low | Medium |
Timedifferent | 30-90 min | 1-4 Wochen | 15-30 min | 1-3 h |
Participantsdifferent | 1-6 | 6-30 Experten | 2-6 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop |
Outputdifferent | Decision Tree, Option Map, Assumption List | Expert Forecast, Consensus Range, Assumption Notes | Root cause notes, Countermeasures | Cause Tree, Evidence Notes, Countermeasures |
Tagsno overlap | DecisionTreeOptions | ForecastingExpertsDecisionStrategy | Root causeIncidentLeanProblem solving | Root causeTreeIncidentQuality |



