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| Criterion |  Growth Funnel Analysis |  Operations Root Cause Tree Analysis |  Operations 5 Whys |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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 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 | Medium | Medium | Low | High |
Timedifferent | 1-3 h | 1-3 h | 15-30 min | 1-4 Wochen |
Participantsdifferent | 1-5 | 2-8 | 2-6 | 1-6 |
Formatdifferent | Async | Workshop | Workshop | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Cause Tree, Evidence Notes, Countermeasures | Root cause notes, Countermeasures | Experiment results, Decision log, Learning summary |
Tagsno overlap | AnalyticsConversionGrowth | Root causeTreeIncidentQuality | Root causeIncidentLeanProblem solving | ExperimentsGrowthAnalyticsValidation |