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| Criterion |  Growth A/B Testing |  Growth Funnel Analysis |  Business Strategy SWOT Analysis |  Product Discovery Smoke Test |
|---|---|---|---|---|
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. | 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. | SWOT Analysis arranges strengths, weaknesses, opportunities, and threats into a compact picture of the situation. It keeps internal capabilities and external influences separate before strategic options emerge from them. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. |
Complexitydifferent | High | Medium | Low | Low |
Timedifferent | 1-4 Wochen | 1-3 h | 30-60 min | 1-5 Tage |
Participantsdifferent | 1-6 | 1-5 | 3-12 | Nutzertraffic |
Formatdifferent | Async | Async | Workshop | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | Funnel report, Drop-off analysis, Optimization hypotheses | SWOT matrix, Strategic options, Action list | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | AnalyticsConversionGrowth | StrategyAnalysisMarketPositioning | ValidationExperimentsDemandGrowth |