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| Criterion |  Operations Scatter Diagram |  Operations Failure Mode and Effects Analysis |  Growth A/B Testing |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | When the question is whether two measures are related, the method makes patterns in the data picture visible. It separates felt correlations from relationships that actually show up in the data. | For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability. | 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. |
Complexitydifferent | Low | High | High | Low |
Timedifferent | 30-90 min | 2-6 h | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 1-4 | 3-10 | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop | Async | Async |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | FMEA Table, Risk Priority, Mitigation Actions | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | Root causeQualityVisualization | RiskQualityOperationsRoot cause | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |