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| Criterion |  Decision Making Decision Tree |  Operations PDCA Cycle |  Product Discovery MVP Test Matrix |
|---|---|---|---|
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. | For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode. | When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. |
Complexitydifferent | Medium | Low | Medium |
Timedifferent | 30-90 min | 1 h bis mehrere Wochen | 45-75 min |
Participantsdifferent | 1-6 | 1-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Decision Tree, Option Map, Assumption List | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Test Matrix, Test Plan |
Tagsno overlap | DecisionTreeOptions | Continuous improvementLeanExperiments | ExperimentsValidationDiscoveryOptions |
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