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| Criterion |  Growth Funnel Analysis |  Systems Thinking Behavior Over Time Graph |  Systems Thinking Iceberg Model |  Growth A/B Testing |
|---|---|---|---|---|
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. | 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. |
Complexitydifferent | Medium | Low | Low | High |
Timedifferent | 1-3 h | 20-45 min | 30-60 min | 1-4 Wochen |
Participantsdifferent | 1-5 | 1-10 | 2-10 | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Behavior Over Time Graph, Trend Hypotheses, Key Events | Iceberg Worksheet, Pattern Notes, Intervention Ideas | Experiment results, Decision log, Learning summary |
Tagsno overlap | AnalyticsConversionGrowth | Systems thinkingPatternsDynamics | Systems thinkingRoot causePatterns | ExperimentsGrowthAnalyticsValidation |