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| Criterion |  Product Discovery Smoke Test |  Growth Hooked Model |  Growth A/B Testing |  Growth Flywheel |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | Growth often breaks down where a reinforcing mechanism builds up too much friction. A Flywheel shows the cycle of value, repetition, and reinforcement meant to sustain growth. |
Complexitydifferent | Low | Medium | High | Medium |
Timedifferent | 1-5 Tage | Multiple workshops over several weeks | 1-4 Wochen | 60-120 min |
Participantsdifferent | Nutzertraffic | 2-8 | 1-6 | 3-8 |
Formatdifferent | Async | Workshop + async | Async | Workshop |
Outputdifferent | Interest Metrics, Conversion Signal, Learning Note | Hooked loop, Trigger map, Reward design, Ethics check | Experiment results, Decision log, Learning summary | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog |
Tags1 shared | ValidationExperimentsDemandGrowth | GrowthBehaviorRetention | ExperimentsGrowthAnalyticsValidation | GrowthRetentionConversion |