Moderated User Test
A user testing method where a moderator guides participants and gathers feedback in real time.
UX research method in which a moderator guides a participant live while they interact with a product, interface or prototype. The moderator asks questions, observes behaviors and can adjust the flow based on reactions, making it possible to gather rich, contextual insights in real time.
As part of a CRO approach and discovery phase, moderated testing is particularly useful for exploring behaviors or misunderstandings in depth, testing complex journeys or new ideas before they go into production. It helps detect friction points, validate the user intent behind an action, or identify weak signals that tracking or an A/B test alone wouldn't reveal.
This type of test is highly complementary to A/B testing:
- Moderated testing is suited to exploratory and qualitative hypotheses, ahead of experimentation.
- A/B testing then comes in to quantitatively validate the impact of a variation across a large sample.
By combining these two methods, product, UX and marketing teams can move from a user intuition to measurable validation, while keeping an approach centered on real needs.
Autres termes : User testing
View the full glossary- NPS (Net Promoter Score)An indicator of customers' propensity to recommend a product or service to others.User testing
- Unmoderated User TestA user test where participants interact with a product or service at their own pace, without direct supervision.User testing
- VerbatimDirect comments or feedback from users, often used to analyze feedback.User testing
- VOC (Voice of Customer)This refers to the opinions, expectations, preferences and feedback that customers express about a product or service.User testing
- Macro-conversionMacro-conversion is the ultimate goal a business seeks to achieve with its visitors, such as a completed purchase, a sign-up for a paid service, or any other primary action that generates business value.KPI
- Mann-Whitney U TestA non-parametric test used to compare two independent samples to determine whether they come from the same distribution.Statistiques