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| Criterion | ![]() Innovation Double Diamond | ![]() Operations PDCA Cycle | ![]() Operations Causal Factor 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 an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. |
Complexitydifferent | Medium | Low | High |
Timedifferent | Wochen bis Monate | 1 h bis mehrere Wochen | 2-6 h |
Participantsdifferent | 3-12 | 1-8 | 3-10 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Problem Statement, Solution Options, Prototypes, Deliverables per Phase | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | ProcessDivergenceInnovation | Continuous improvementLeanExperiments | CausalityIncidentRoot causeTimeline |
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