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| Criterion | ![]() Innovation Double Diamond | ![]() Operations PDCA Cycle | ![]() Operations Root Cause Tree Analysis | ![]() Operations Root Cause Analysis |
|---|---|---|---|---|
Purposedifferent | For complex problems with a fuzzy situation, the method cleanly separates search space and decision. It first creates breadth in understanding and then focus in elaboration. This brings open questions, problem definition, and solution path into a traceable movement. | 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 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. | When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | Wochen bis Monate | 1 h bis mehrere Wochen | 1-3 h | 1-4 h |
Participantsdifferent | 3-12 | 1-8 | 2-8 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Problem Statement, Solution Options, Prototypes, Deliverables per Phase | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Cause Tree, Evidence Notes, Countermeasures | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | ProcessDivergenceInnovation | Continuous improvementLeanExperiments | Root causeTreeIncidentQuality | Root causeProblem solvingQualityIncident |



