View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Growth Hooked Model |  Growth A/B Testing |  Facilitation Dot Estimation |  Product Discovery Fake Door 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. | When size or effort can only be estimated roughly, Dot Estimation condenses the group's experience into a quick range. It turns individual contributions into a visible selection. The result is captured as an Effort Heatmap, Risk Signals, and Discussion Targets. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | Medium | High | Low | Medium |
Timedifferent | Multiple workshops over several weeks | 1-4 Wochen | 5-20 min | 1-5 Tage |
Participantsdifferent | 2-8 | 1-6 | 3-20 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Workshop | Async |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | Experiment results, Decision log, Learning summary | Effort Heatmap, Risk Signals, Discussion Targets | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | GrowthBehaviorRetention | ExperimentsGrowthAnalyticsValidation | EstimationEffortRisk | ValidationExperimentsDemandDiscovery |