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| Criterion |  Innovation Design Thinking |  Decision Making Pareto Analysis |  Operations Root Cause Tree Analysis |
|---|---|---|---|
Purposedifferent | For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. | 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 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 | High | Low | Medium |
Timedifferent | 1 Tag bis mehrere Wochen | 30-60 min | 1-3 h |
Participantsdifferent | 4-10 | 1-6 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop |
Outputdifferent | Problem Statement, Prototype, Test Learnings | Pareto Chart, Top Causes, Focus List | Cause Tree, Evidence Notes, Countermeasures |
Tagsno overlap | InnovationPrototypeResearch | PrioritizationQualityFocusRoot cause | Root causeTreeIncidentQuality |
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