AI User Testing Glossary

Advanced analysis powered by artificial intelligence that automatically interprets user behavior, identifies patterns, and surfaces actionable insights without manual effort.

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Advanced analysis powered by artificial intelligence that automatically interprets user behavior, identifies patterns, and surfaces actionable insights without manual effort.

AI-moderated testing is a research method where an artificial intelligence system runs the session instead of a human moderator.

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AI testers are synthetic user personas powered by artificial intelligence that simulate how real users might interact with a product or respond to research questions without requiring actual human participants.

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AI usability testing evaluates how easily users can navigate and complete tasks within a product, with artificial intelligence handling the moderation, the analysis, or both.

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Automated transcription is the real-time or near-real-time conversion of spoken audio from user testing sessions and interviews into searchable, readable text done automatically.

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Automated user research refers to the use of technology, including AI, machine learning, and workflow automation, to streamline or fully automate parts of the user research process.

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The process of evaluating a product’s performance by comparing it to industry standards, competitors, or previously collected baseline data to identify areas for improvement.

A key performance metric that measures the percentage of users who complete a specific goal, such as signing up or making a purchase, indicating overall effectiveness.

Onboarding usability testing evaluates the new user experience, the sequence of screens, steps, and interactions that take someone from sign-up to their first meaningful use of the product.

AI user testing is the practice of using artificial intelligence to conduct, moderate, and analyze user testing sessions, giving product teams moderated-quality research insights at unmoderated speed and scale.

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