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| Criterion |  Operations PDCA Cycle |  Innovation Double Diamond |  Innovation Design Sprint |  Growth A/B Testing |
|---|---|---|---|---|
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 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. | When the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. |
Complexitydifferent | Low | Medium | High | High |
Timedifferent | 1 h bis mehrere Wochen | Wochen bis Monate | 4-5 Tage | 1-4 Wochen |
Participantsdifferent | 1-8 | 3-12 | 5-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Problem Statement, Solution Options, Prototypes, Deliverables per Phase | Prototype, Test Findings, Decision Rationale | Experiment results, Decision log, Learning summary |
Tagsno overlap | Continuous improvementLeanExperiments | ProcessDivergenceInnovation | Design sprintPrototypeValidationInnovation | ExperimentsGrowthAnalyticsValidation |