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| Criterion | ![]() Growth Funnel Analysis | ![]() Growth A/B Testing | ![]() Facilitation Expectation Mapping | ![]() Product Discovery Smoke Test |
|---|---|---|---|---|
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 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 roles, interfaces, or projects fail because of differing expectations, Expectation Mapping surfaces these differences. It shows what each side takes for granted and where the pictures diverge. | 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 | Medium | High | Low | Low |
Timedifferent | 1-3 h | 1-4 Wochen | 45-90 min | 1-5 Tage |
Participantsdifferent | 1-5 | 1-6 | 3-12 | Nutzertraffic |
Formatdifferent | Async | Async | Workshop | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary | Expectation Map, Alignment Notes, Agreements | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation | AlignmentStakeholdersTeam | ValidationExperimentsDemandGrowth |



