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| Criterion |  Operations ABC Analysis |  Decision Making Decision Tree |  Operations Root Cause Tree Analysis |  Decision Making Pareto Analysis |
|---|---|---|---|---|
Purposedifferent | With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention. | 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. | 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. | In many problem situations, effect is distributed unequally across many causes. A Pareto Analysis separates the few drivers with high leverage from the long remainder and focuses attention on what measurably moves the needle. |
Complexitydifferent | Low | Medium | Medium | Low |
Timedifferent | 30-60 min | 30-90 min | 1-3 h | 30-60 min |
Participantsdifferent | 1-5 | 1-6 | 2-8 | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | ABC Classification, Focus Rules, Control List | Decision Tree, Option Map, Assumption List | Cause Tree, Evidence Notes, Countermeasures | Pareto Chart, Top Causes, Focus List |
Tagsno overlap | PrioritizationOperationsPortfolio | DecisionTreeOptions | Root causeTreeIncidentQuality | PrioritizationQualityFocusRoot cause |