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 | ![]() UX Research Customer Journey Mapping | ![]() Product Discovery Fake Door Test | ![]() Growth A/B Testing |
|---|---|---|---|---|
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 a user journey falls apart across many touchpoints, customer journey mapping makes the experience visible as a coherent arc. Phases, emotions, and breaks become legible enough to prioritize critical moments deliberately. | 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 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. |
Complexitydifferent | Low | Medium | Medium | High |
Timedifferent | 1-5 Tage | 2-4 h | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | Nutzertraffic | 4-10 | Nutzertraffic | 1-6 |
Formatdifferent | Async | Workshop | Async | Async |
Outputdifferent | Interest Metrics, Conversion Signal, Learning Note | Journey Map, Pain-point List, Opportunity Backlog | Click Data, Interest Signal, Learning Decision | Experiment results, Decision log, Learning summary |
Tagsno overlap | ValidationExperimentsDemandGrowth | JourneyServiceService design | ValidationExperimentsDemandDiscovery | ExperimentsGrowthAnalyticsValidation |



