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| Criterion |  Growth A/B Testing |  Operations 5 Whys |  Growth Funnel Analysis |  Operations Root Cause Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. | 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. |
Complexitydifferent | High | Low | Medium | Medium |
Timedifferent | 1-4 Wochen | 15-30 min | 1-3 h | 1-4 h |
Participantsdifferent | 1-6 | 2-6 | 1-5 | 3-8 |
Formatdifferent | Async | Workshop | Async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Root cause notes, Countermeasures | Funnel report, Drop-off analysis, Optimization hypotheses | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | Root causeIncidentLeanProblem solving | AnalyticsConversionGrowth | Root causeProblem solvingQualityIncident |