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| Criterion |  Growth Hooked Model |  Growth A/B Testing |  Systems Thinking Behavior Over Time Graph |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | The Hooked Model helps clarify engagement loops, user behavior, and experiments. It makes repeat behavior measurable and captures the result as a hooked loop, trigger map, and reward design. | 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 | Multiple workshops over several weeks | 1-4 Wochen | 20-45 min | 1-5 Tage |
Participantsdifferent | 2-8 | 1-6 | 1-10 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | Experiment results, Decision log, Learning summary | Behavior Over Time Graph, Trend Hypotheses, Key Events | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | GrowthBehaviorRetention | ExperimentsGrowthAnalyticsValidation | Systems thinkingPatternsDynamics | ValidationExperimentsDemandGrowth |