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 Opportunity Solution Tree |  Product Discovery Smoke Test |  Growth A/B Testing |  Product Discovery MVP Test Matrix |
|---|---|---|---|---|
Purposedifferent | When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | 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 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 several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. |
Complexitydifferent | Medium | Low | High | Medium |
Timedifferent | 1-2 h Setup, laufend | 1-5 Tage | 1-4 Wochen | 45-75 min |
Participantsdifferent | 2-6 | Nutzertraffic | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Async | Async | Workshop |
Outputdifferent | Opportunity Solution Tree, Experiment Backlog, Learning Log | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary | Test Matrix, Test Plan |
Tags1 shared | DiscoveryOutcomesExperimentsOpportunity | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryOptions |