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| Criterion |  Growth A/B Testing |  Systems Thinking Current Reality Tree |  Product Discovery Smoke Test |  Operations Causal Factor Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | A Current Reality Tree condenses many symptoms into a few causal chains. The method makes visible which core problems drive several negative effects at once. | 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. | For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. |
Complexitydifferent | High | High | Low | High |
Timedifferent | 1-4 Wochen | 2-6 h | 1-5 Tage | 2-6 h |
Participantsdifferent | 1-6 | 3-8 | Nutzertraffic | 3-10 |
Formatdifferent | Async | Workshop | Async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Current Reality Tree, Core Problems, Intervention Ideas | Interest Metrics, Conversion Signal, Learning Note | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | Systems thinkingRoot causeConstraintsCausality | ValidationExperimentsDemandGrowth | CausalityIncidentRoot causeTimeline |