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| Criterion |  Systems Thinking Behavior Over Time Graph |  Systems Thinking Iceberg Model |  Growth A/B Testing |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | 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. | The Iceberg Model separates visible events from patterns, structures, and mental models. This turns a single observation into a deeper understanding of why a problem keeps recurring. | 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 | Low | High | Low |
Timedifferent | 20-45 min | 30-60 min | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 1-10 | 2-10 | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Behavior Over Time Graph, Trend Hypotheses, Key Events | Iceberg Worksheet, Pattern Notes, Intervention Ideas | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | Systems thinkingPatternsDynamics | Systems thinkingRoot causePatterns | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |