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| Criterion | ![]() Knowledge Modeling Knowledge Mapping | ![]() Decision Making Pareto Analysis | ![]() Operations 5 Whys | ![]() Operations Root Cause Tree Analysis |
|---|---|---|---|---|
Purposedifferent | Knowledge Mapping makes knowledge, gaps, and transfer paths visible across a field. It fits when expertise should not just exist but also be findable and transferable. | 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. | 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 | Low | Low | Medium |
Timedifferent | 1-3 h | 30-60 min | 15-30 min | 1-3 h |
Participantsdifferent | 3-12 | 1-6 | 2-6 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop |
Outputdifferent | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Pareto Chart, Top Causes, Focus List | Root cause notes, Countermeasures | Cause Tree, Evidence Notes, Countermeasures |
Tagsno overlap | KnowledgeMappingRisk | PrioritizationQualityFocusRoot cause | Root causeIncidentLeanProblem solving | Root causeTreeIncidentQuality |



