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| Criterion |  Growth Funnel Analysis |  Product Discovery Assumption Mapping |  Operations Root Cause Analysis |  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. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 | Medium | Medium | Medium | High |
Timedifferent | 1-3 h | 45-60 min | 1-4 h | 1-4 Wochen |
Participantsdifferent | 1-5 | 2-8 | 3-8 | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Assumption map, Test backlog, Risk ranking | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Experiment results, Decision log, Learning summary |
Tagsno overlap | AnalyticsConversionGrowth | AssumptionsRiskExperimentsValidation | Root causeProblem solvingQualityIncident | ExperimentsGrowthAnalyticsValidation |