From counting test cases to catching defects: The QA metrics that matter most in the age of AI

Agentic AI will completely redesign how QA organizations function. QA teams will evolve into centers of innovation, where AI agents work alongside humans as coworkers, taking on the manual work of test creation and freeing testers to focus on more strategic lifts.

This new kind of workforce calls for new metrics and KPIs. Traditional QA metrics, such as counting test runs and scripts built, have never truly reflected a QA orgs’ risk coverage or productivity, and will become even less meaningful in the age of AI. Instead, modern AI-driven metrics will focus on test quality over quantity, capturing an agent’s impact on important benchmarks like defect detection percentage and leakage rates. In this webinar, two Tricentis experts discuss how AI is changing the way QA teams are measured. Register to learn:

• Why some traditional QA metrics will no longer work—and what to measure instead
• How to align AI-driven metrics with business goals to demonstrate an agent’s real, measurable impact
• How AI agents will redefine QA roles, with testers taking greater responsibility for reviewing and validating agent output