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| Criterion |  Systems Thinking Polarity Mapping |  Growth A/B Testing |  Product Discovery Smoke Test |  Growth Funnel Analysis |
|---|---|---|---|---|
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 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 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. |
Complexitydifferent | Medium | High | Low | Medium |
Timedifferent | 1-2 h | 1-4 Wochen | 1-5 Tage | 1-3 h |
Participantsdifferent | 3-12 | 1-6 | Nutzertraffic | 1-5 |
Formatdifferent | Workshop | Async | Async | Async |
Outputdifferent | Polarity Map, Warning Signs, Balance Actions | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note | Funnel report, Drop-off analysis, Optimization hypotheses |
Tagsno overlap | Systems thinkingTradeoffsLeadership | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth | AnalyticsConversionGrowth |