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| Criterion |  Product Discovery Working Backwards |  Growth Hooked Model |  Growth A/B Testing |  Product Discovery Experiment 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 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 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 | High | Low |
Timedifferent | 4-8 h, mehrere Iterationen | Multiple workshops over several weeks | 1-4 Wochen | 30-60 min |
Participantsdifferent | 2-6 | 2-8 | 1-6 | 1-5 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Future Press Release, FAQ, Vision Statement | Hooked loop, Trigger map, Reward design, Ethics check | Experiment results, Decision log, Learning summary | Completed Experiment Canvas, Success Metric |
Tagsno overlap | VisionNarrativeAlignment | GrowthBehaviorRetention | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryHypothesis |