View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion | ![]() Innovation Lean Startup | ![]() UX Research Tree Testing | ![]() Product Discovery Fake Door Test | ![]() Product Discovery MVP Test Matrix |
|---|---|---|---|---|
Purposedifferent | For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight. | When a navigation exists but search paths still fail, tree testing checks findability without visual distraction. The method shows whether labels, levels, and paths really lead to the intended destination. | 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 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | Wochen bis Monate je Lernzyklus | 1-2 Tage | 1-5 Tage | 45-75 min |
Participantsdifferent | 2-8 | Based on research question | Nutzertraffic | 2-8 |
Formatdifferent | Workshop + async | Async | Async | Workshop |
Outputdifferent | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Findability Metrics, Path Analysis, Revised IA | Click Data, Interest Signal, Learning Decision | Test Matrix, Test Plan |
Tagsno overlap | LeanStartupValidationMVP | Information architectureNavigationFindability | ValidationExperimentsDemandDiscovery | ExperimentsValidationDiscoveryOptions |



