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| Criterion |  Product Discovery Outcome-Driven Innovation |  Growth A/B Testing |  Product Discovery Fake Door Test |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | 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 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 | High | High | Medium | Low |
Timedifferent | Mehrere Wochen | 1-4 Wochen | 1-5 Tage | 30-60 min |
Participantsdifferent | 2-6 researchers plus sample | 1-6 | Nutzertraffic | 1-5 |
Formatdifferent | Workshop + async | Async | Async | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Experiment results, Decision log, Learning summary | Click Data, Interest Signal, Learning Decision | Completed Experiment Canvas, Success Metric |
Tagsno overlap | OutcomesInnovationResearchQuantitative | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandDiscovery | ExperimentsValidationDiscoveryHypothesis |