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Auros Launches AI Relationship Quality (ARQ) New Benchmark


Auros Launches AI Relationship Quality (ARQ) New Benchmark
  • by: Business Wire
  • |
  • October 7, 2026

Auros, the human network behind AI, today announced AI Relationship Quality (ARQ), a new benchmark that diagnoses how well an AI experience is working for the people using it. Delivered by Auros' Professional Services team, ARQ extends the traditional AI eval model, which tests accuracy, efficiency, and safety, to also test human relationship elements like trust and affinity. New offering gives companies way to measure how people actually relate to conversational and agentic AI beyond technical performance.

Quick Intel

  • Auros launches AI Relationship Quality ARQ new benchmark for human side of AI experiences announced.
  • Benchmark diagnoses how well AI experience working for people beyond accuracy efficiency safety to trust affinity.
  • ARQ score reliable quantified way to know whether AI works whether customers understand trust feel in control get outcome want to keep using.
  • Expert-led benchmark tailored to company's AI experience target audience business goals participants recruited to match repeatable over time.
  • Produces overall ARQ score plus five elements Understanding Trust Control Outcome Affinity driving adoption satisfaction.
  • Scores paired with video feedback giving context behind numbers findings recommendations complementing AI evals not replacing.

Beyond Accuracy to Trust Affinity and Human Relationship

ARQ is an expert-led benchmark and assessment conducted by Auros' Professional Services team using a rigorous, repeatable methodology designed for consistent measurement over time. Each engagement is tailored to a company's specific AI experience, target audience, and business goals, with participants recruited to match.

The benchmark produces one overall ARQ score, plus individual scores across the five elements that drive AI adoption and satisfaction:

Understanding - Do human users feel they understand the LLM's thinking, intent, and boundaries?
Trust - Do people give the appropriate level of trust – not too much, but also not too little -- to an AI experience?
Control - Can people steer the AI, correct it, and recover when it goes wrong?
Outcome - Does a user feel the AI-human partnership delivered better results than the user could alone?
Affinity - Does the AI's personality, tone, warmth, and emotional response make people want to come back?

"You can have the most technically capable AI on the market and still lose the customer," said Jason Giles, Vice President of Customer Intelligence, Auros. "Because people aren't grading your model or agent, they're deciding whether to trust it. ARQ exists because that decision shouldn't be a guess. It's a difference between assuming your AI is working and knowing it is."

Because the benchmark is repeatable, it can be used to measure progress over time and compare against competitors. The scores are paired with video feedback from participants, giving teams the context behind the numbers: what's working, what needs improvement, and what to prioritize next.

ARQ is designed to complement AI evals, not replace them—where evals measure system performance, ARQ measures the human relationship with the system, giving teams a full picture of whether an AI experience is actually effective.

 

About Auros

Auros, headquartered in Bellevue, Washington, provides the customer insights and human intelligence that product, marketing, and AI research teams need to succeed in the AI era. Backed by a network of 7.6 million verified people and two decades of recruiting and verification infrastructure, Auros is also the company behind UserTesting and User Interviews.

  • AI QualityCustomer IntelligenceConversational AI
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