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| Criterion |  Operations PDCA Cycle |  Decision Making Decision Tree |  Product Strategy ICE Scoring |
|---|---|---|---|
Purposedifferent | 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. | 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 ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list. |
Complexitydifferent | Low | Medium | Low |
Timedifferent | 1 h bis mehrere Wochen | 30-90 min | 30-60 min |
Participantsdifferent | 1-8 | 1-6 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Decision Tree, Option Map, Assumption List | ICE Table, Top Idea List |
Tagsno overlap | Continuous improvementLeanExperiments | DecisionTreeOptions | PrioritizationScoringGrowthDecision |
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