View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Product Discovery Smoke Test |  Product Discovery Concierge MVP |  Growth A/B Testing |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | When an idea can first fail or grow through genuine hands-on support, it relies on manual work instead of automation. It shows whether user value holds up even under manual execution. | 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 | Low | Medium | High | Low |
Timedifferent | 1-5 Tage | 1-4 Wochen | 1-4 Wochen | 30-60 min |
Participantsdifferent | Nutzertraffic | 3-10 Kunden | 1-6 | 1-5 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | Interest Metrics, Conversion Signal, Learning Note | Concierge Learnings, Service Blueprint, MVP Risks | Experiment results, Decision log, Learning summary | Completed Experiment Canvas, Success Metric |
Tags1 shared | ValidationExperimentsDemandGrowth | MVPValidationServiceDiscovery | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryHypothesis |