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| Criterion |  Growth Funnel Analysis |  Business Strategy PESTLE Analysis |  Product Discovery Fake Door Test |  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. | PESTLE Analysis makes political, economic, social, technological, legal, and environmental influences visible. The environment of an initiative is thereby read systematically instead of through isolated trends. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. | 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 | 1-3 h | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 1-5 | 2-10 | Nutzertraffic | 1-6 |
Formatdifferent | Async | Workshop + async | Async | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | PESTLE Map, External Risks, Strategic Questions | Click Data, Interest Signal, Learning Decision | Experiment results, Decision log, Learning summary |
Tagsno overlap | AnalyticsConversionGrowth | StrategyMarketAnalysis | ValidationExperimentsDemandDiscovery | ExperimentsGrowthAnalyticsValidation |