View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion | ![]() UX Research Usability Testing | ![]() Product Strategy Lean Canvas | ![]() Growth A/B Testing |
|---|---|---|---|
Purposedifferent | When a product is built but people get stuck on tasks, usability testing shows the friction at concrete points. Observed use instead of self-report makes visible where orientation, understanding, or interaction breaks down. | When an early product bet still has too many open points, it brings target group, problem, and assumptions into a single view. It condenses the idea so core risks become nameable. | 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 | Medium | Medium | High |
Timedifferent | 1-2 h je Session | 45-90 min | 1-4 Wochen |
Participantsdifferent | Based on research question | 1-6 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async |
Outputdifferent | Usability Issues, Severity List, Recommendations | Lean Canvas, Core Assumptions, Experiment Backlog | Experiment results, Decision log, Learning summary |
Tagsno overlap | ValidationUXPrototype | StartupLeanAssumptionsBusiness model | ExperimentsGrowthAnalyticsValidation |
Often compared together
Methods with strong topical overlap with the current selection, not yet in the comparison.






