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| Criterion |  Systems Thinking Polarity Mapping |  Operations Root Cause Analysis |  Product Discovery Smoke Test |  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 a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another. | 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 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 | Low | High |
Timedifferent | 1-2 h | 1-4 h | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 3-12 | 3-8 | Nutzertraffic | 1-6 |
Formatdifferent | Workshop | Workshop + async | Async | Async |
Outputdifferent | Polarity Map, Warning Signs, Balance Actions | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary |
Tagsno overlap | Systems thinkingTradeoffsLeadership | Root causeProblem solvingQualityIncident | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation |