IMPROVE AI ADOPTION AND SATISFACTION
Measure the human side of AI quality
The UserTesting AI Relationship Quality (ARQ™) benchmark gives you a clear measure of how well your AI experience is working for customers, with expert analysis that shows what’s strong, what needs improvement, and what to prioritize next.

AI quality is more than system performance
Companies can measure AI accuracy. What’s harder is knowing whether the experience works for the people using it.
Add the missing dimension to AI quality
UserTesting’s AI Relationship Quality (ARQ™) benchmark is an expert-led assessment of how people relate to conversational or agentic AI, combining objective scores with direct customer feedback to show strengths, areas to improve, and priorities for action.
Strengthen trust and adoption
See how people relate to your AI across understanding, trust, control, outcome, and affinity, so you can improve the qualities that drive satisfaction and continued use.

Know what to improve
See where the user relationship with your AI is strong or weak, with scores and direct participant feedback that reveal the cause of problems and what to prioritize.

Invest in what matters most
Give teams and stakeholders a shared view of AI relationship quality so they can align on priorities, make confident decisions, and focus investment on the improvements that matter most.

What your benchmark includes
Professional Services runs the assessment for you using a rigorous, repeatable methodology designed to support consistent measurement over time.
The assessment is tailored to your AI experience, target audience, and business goals, with participants selected for your specific needs.
Receive an overall score plus scores for understanding, trust, control, outcome, and affinity, the factors that drive AI adoption and satisfaction.
Your report combines scores, user videos, findings, and recommendations to show where to improve and what to prioritize.

Understand the human side of the AI-driven product development process
Explore how AI changes not only how products are built, but how customers experience them, and where human insight fits throughout development.
