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| Criterion |  Operations DMAIC |  Growth Funnel Analysis |  Operations Root Cause Analysis |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | For a process problem with fluctuating performance, the method brings analysis and improvement into a disciplined sequence. It creates a framework in which numbers, causes, and control come together. | When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. | 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. | 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 | High | Medium | Medium | High |
Timedifferent | 2-12 Wochen | 1-3 h | 1-4 h | 1-4 Wochen |
Participantsdifferent | 3-10 | 1-5 | 3-8 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | Project Charter, Measurement Plan, Cause Analysis, Control Plan | Funnel report, Drop-off analysis, Optimization hypotheses | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Experiment results, Decision log, Learning summary |
Tagsno overlap | Continuous improvementQualityProcess improvement | AnalyticsConversionGrowth | Root causeProblem solvingQualityIncident | ExperimentsGrowthAnalyticsValidation |