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| Criterion |  Systems Thinking Polarity Mapping |  Product Discovery Smoke Test |  Growth Funnel Analysis |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | Polarity Mapping makes tensions between two opposing poles tangible, such as standardization and adaptation or control and autonomy. The method guards against making apparent either-or decisions prematurely. | 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. | 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 | Medium | Low | Medium | High |
Timedifferent | 1-2 h | 1-5 Tage | 1-3 h | 1-4 Wochen |
Participantsdifferent | 3-12 | Nutzertraffic | 1-5 | 1-6 |
Formatdifferent | Workshop | Async | Async | Async |
Outputdifferent | Polarity Map, Warning Signs, Balance Actions | Interest Metrics, Conversion Signal, Learning Note | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary |
Tagsno overlap | Systems thinkingTradeoffsLeadership | ValidationExperimentsDemandGrowth | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation |