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| Criterion | ![]() Growth Hooked Model | ![]() Product Discovery MVP Test Matrix | ![]() Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|
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 many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. |
Complexitysame | Medium | Medium | Medium |
Timedifferent | Multiple workshops over several weeks | 45-75 min | 60-90 min |
Participantsdifferent | 2-8 | 2-8 | 3-8 |
Formatdifferent | Workshop + async | Workshop | Workshop |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | Test Matrix, Test Plan | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | GrowthBehaviorRetention | ExperimentsValidationDiscoveryOptions | ExperimentsPrioritizationDiscoveryHypothesis |
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