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| Criterion |  Operations PDCA Cycle |  Decision Making Decision Tree |  Engineering Failure Scenario Analysis |  Product Discovery Assumption Mapping |
|---|---|---|---|---|
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. | In critical processes, it is not enough to plan only for the normal case. Failure Scenario Analysis looks at the path into failure and shows which failures, chains, and control gaps cause the most damage. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | 1 h bis mehrere Wochen | 30-90 min | 1-3 h | 45-60 min |
Participantsdifferent | 1-8 | 1-6 | 3-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Decision Tree, Option Map, Assumption List | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | Continuous improvementLeanExperiments | DecisionTreeOptions | FailureResilienceRisk | AssumptionsRiskExperimentsValidation |