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| Criterion |  Growth Funnel Analysis |  Growth A/B Testing |  Systems Thinking Behavior Over Time Graph |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | 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. | A Behavior Over Time Graph shows how a metric or observation develops over time. The method makes trends, breaks, and recurring patterns visible that get lost in snapshots. | 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 | Medium | High | Low | Low |
Timedifferent | 1-3 h | 1-4 Wochen | 20-45 min | 1-5 Tage |
Participantsdifferent | 1-5 | 1-6 | 1-10 | Nutzertraffic |
Formatdifferent | Async | Async | Workshop + async | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary | Behavior Over Time Graph, Trend Hypotheses, Key Events | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation | Systems thinkingPatternsDynamics | ValidationExperimentsDemandGrowth |