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| Criterion |  Growth Hooked Model |  Product Discovery MVP Test Matrix |  Growth Growth Experiment |  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 several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. | When growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | Multiple workshops over several weeks | 45-75 min | 1-2 Wochen | 1-5 Tage |
Participantsdifferent | 2-8 | 2-8 | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | Test Matrix, Test Plan | Experiment card, Result summary, Next bet | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | GrowthBehaviorRetention | ExperimentsValidationDiscoveryOptions | MarketingGrowthExperimentsLearning | ValidationExperimentsDemandDiscovery |