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 |  Decision Making Eisenhower Matrix |  Growth A/B Testing |  Product Discovery Fake Door Test |
|---|---|---|---|---|
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. | It separates true priorities from noise so it becomes clear what should be done now, scheduled, delegated, or dropped. | 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. |
Complexitydifferent | Low | Low | High | Medium |
Timedifferent | 1-5 Tage | 15-30 min | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | Nutzertraffic | 1-6 | 1-6 | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Async | Async |
Outputdifferent | Interest Metrics, Conversion Signal, Learning Note | Eisenhower Matrix, Action List, Delegation Notes | Experiment results, Decision log, Learning summary | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ValidationExperimentsDemandGrowth | PrioritizationFocusTasks | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandDiscovery |