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| Criterion |  Product Discovery Working Backwards |  Growth Hooked Model |  Product Discovery Experiment Canvas |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|---|
Purposedifferent | When the target state and benefit need to be clear first, it thinks backward from the desired outcome into the product logic. It sharpens vision, objections, and value proposition before elaboration. | 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 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. | 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. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 4-8 h, mehrere Iterationen | Multiple workshops over several weeks | 30-60 min | 60-90 min |
Participantsdifferent | 2-6 | 2-8 | 1-5 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Future Press Release, FAQ, Vision Statement | Hooked loop, Trigger map, Reward design, Ethics check | Completed Experiment Canvas, Success Metric | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | VisionNarrativeAlignment | GrowthBehaviorRetention | ExperimentsValidationDiscoveryHypothesis | ExperimentsPrioritizationDiscoveryHypothesis |