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| Criterion |  Growth Hooked Model |  Product Discovery Hypothesis Prioritization Canvas |  Operations ABC Analysis |  Product Discovery Experiment 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 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. | With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Medium | Medium | Low | Low |
Timedifferent | Multiple workshops over several weeks | 60-90 min | 30-60 min | 30-60 min |
Participantsdifferent | 2-8 | 3-8 | 1-5 | 1-5 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop + async |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | Prioritization Canvas, Hypothesis Backlog | ABC Classification, Focus Rules, Control List | Completed Experiment Canvas, Success Metric |
Tagsno overlap | GrowthBehaviorRetention | ExperimentsPrioritizationDiscoveryHypothesis | PrioritizationOperationsPortfolio | ExperimentsValidationDiscoveryHypothesis |