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| Criterion |  Product Discovery Smoke Test |  Systems Thinking Intervention Mapping |  Growth Funnel Analysis |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | Intervention Mapping translates a need for change into a planned, evaluable program. The method connects target group, determinants, actions, and measurement into a traceable chain. | 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. |
Complexitydifferent | Low | High | Medium | High |
Timedifferent | 1-5 Tage | 1-5 Tage | 1-3 h | 1-4 Wochen |
Participantsdifferent | Nutzertraffic | 4-12 | 1-5 | 1-6 |
Formatdifferent | Async | Workshop + async | Async | Async |
Outputdifferent | Interest Metrics, Conversion Signal, Learning Note | Logic Model, Change Objectives, Intervention Components, Evaluation Plan | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary |
Tagsno overlap | ValidationExperimentsDemandGrowth | ChangeSystems thinkingCapability | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation |