View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Operations PDCA Cycle |  UX Research First-click Testing |  UX Research Card Sorting |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode. | When users immediately turn the wrong way on a screen or wireframe, first click testing checks initial orientation at high speed. The first click shows early whether expectation, labeling, and wayfinding fit together. | When content only makes sense internally and users can't find the structure again, card sorting exposes their mental order. Terms, groups, and naming are then aligned with the target group's expectations. | 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 | Low | Low | High |
Timedifferent | 1 h bis mehrere Wochen | 1-2 Tage | 20-45 min | 1-4 Wochen |
Participantsdifferent | 1-8 | 10-30 | Based on research question | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Click Heatmap, Success Rate, Design Recommendations | Content groups, Label set, IA hypotheses | Experiment results, Decision log, Learning summary |
Tagsno overlap | Continuous improvementLeanExperiments | UXNavigationFindabilityValidation | Information architectureNavigationStructure | ExperimentsGrowthAnalyticsValidation |