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| Criterion |  Product Discovery Working Backwards |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Fake Door Test |  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. | 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. | 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. | 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 | Medium | Low |
Timedifferent | 4-8 h, mehrere Iterationen | 60-90 min | 1-5 Tage | 30-60 min |
Participantsdifferent | 2-6 | 3-8 | Nutzertraffic | 1-5 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop + async |
Outputdifferent | Future Press Release, FAQ, Vision Statement | Prioritization Canvas, Hypothesis Backlog | Click Data, Interest Signal, Learning Decision | Completed Experiment Canvas, Success Metric |
Tagsno overlap | VisionNarrativeAlignment | ExperimentsPrioritizationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery | ExperimentsValidationDiscoveryHypothesis |