Build what matters. Prove it works.
Move from product ideas to confident decisions, faster. Auros brings real customer insight into AI-powered workflows so you can prioritize opportunities, validate new experiences, align teams, and build products that drive adoption and business results.
Building is accelerating. Making the right bets still takes insight.
AI lets teams move from idea to working product faster. But speed alone doesn't tell you what deserves investment, how agents should behave, or whether customers will adopt what you ship. Product decisions need human evidence.
Too many possibilities, too little clarity
AI makes it easy to explore and build new features. Every weak product bet still consumes engineering capacity, adds complexity, and distracts from opportunities that matter.
Decisions can't wait for certainty
Roadmaps move quickly. Product managers need timely customer evidence to resolve tradeoffs, align stakeholders, commit resources, and decide whether an experience is ready to ship.
Technical success isn't customer success
An AI agent can complete a task while leaving customers confused or uncomfortable. Teams need to understand trust, control, and genuine value alongside technical performance.
Bring customer evidence into every critical product decision.
From discovery through launch, Auros connects human insight to AI-assisted product workflows. Make better product bets, define useful agent behaviors, get fast feedback, and align teams around evidence that supports real business outcomes.
Make smarter product bets
Explore unmet needs, customer priorities, and alternative solutions. Pressure-test concepts before allocating engineering resources, so your team invests in opportunities that can deliver meaningful value.
Define better AI experiences
Learn what people want assistants and agents to do, which tasks they will delegate, where they need control, and how AI should respond when something goes wrong.
Bring insight into AI workflows
Use UserTesting MCP to bring study findings and transcripts into compatible AI tools and product workflows. Ground requirements, concepts, and development decisions in real customer context.
Validate ideas and products faster
Use AI-assisted study creation, AI moderation, and flexible testing to evaluate ideas, prototypes, agent interactions, and live experiences. Get actionable feedback while decisions can still change.
Measure AI Relationship Quality
Go beyond technical evals with the AI Relationship Quality (ARQ™) benchmark. Understand how people experience AI across understanding, trust, control, outcome, and affinity.
Align teams around customer evidence
Use customer clips, behavioral evidence, and AI-assisted summaries to explain product performance, settle competing opinions, and build confidence in what the team should prioritize next.
Get feedback from the people your product serves.
Reach consumers, existing customers, business buyers, and specialized professionals who will use your product. Combine precise targeting, screeners, private research panels, and custom recruiting through UserTesting and User Interviews to validate decisions with relevant people.
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People in our combined network
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Professionals across 140 industries
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Core markets worldwide
Build smarter with human insight in every iteration.
AI accelerates development, but customer understanding should guide every investment. Identify the problems worth solving, validate product and agent experiences during development, and combine post-launch feedback with performance data to improve what ships next.
Discover and prioritize
Is this worth building? Explore customer needs, pressure-test opportunities, and focus limited engineering capacity on work that justifies investment.
Build and validate
Are we building the right experience? Test concepts, agent behaviors, and prototypes with real customers while changes are still practical.
Measure and improve
Is it delivering value? Combine product metrics with direct feedback to understand adoption, diagnose friction, and prioritize improvements.
See how customer insight drives better product outcomes.
Zenni used customer feedback to improve conversion and reduce checkout exits. Abercrombie & Fitch avoided building an unwanted feature. AWS applies human insight to product development, including AI experiences.
We like to identify problems with data and once we identify those problems, we need to go into UserTesting because we don't know the why. So we need to take it to the users to understand and help solve that problem.
23%
Decrease in checkout exit rates
Zenni used customer interviews alongside analytics to validate guest checkout and reduce abandonment at checkout.
These insights helped convince the organization not to build the proposed brick and mortar equivalent of the Share2Pay program, saving A&F Co. valuable time and resources.
“We need targeted research to inform high quality decisions. This allows us to have a quick and direct impact on the customer's experience.”
Build something customers actually want to use.
Whether you're prioritizing a new opportunity, building an AI agent, or improving an existing product, Auros helps you get customer evidence quickly enough to make the next decision with confidence.
Frequently asked questions
How can Auros improve product prioritization?
Explore unmet needs, test concepts, compare alternatives, and bring customer evidence into roadmap discussions before allocating development resources.
Can we test AI assistants and agents?
Yes. Test whether people understand an AI experience, which tasks they will delegate, when they want human intervention, and where interaction creates friction.
How does Auros connect to AI tools?
UserTesting MCP connects compatible AI clients to research workflows, helping teams create studies, recruit participants, and bring transcripts and findings into product decisions.
How does ARQ differ from technical evals?
Technical evals assess system behavior. The expert-led ARQ™ benchmark complements them by assessing human understanding, trust, control, outcome, and affinity in AI experiences.
Can PMs get customer feedback directly?
Yes. Product teams can run focused studies and access customer evidence while partnering with UX researchers on methodology, governance, and more strategic discovery.
Can we reach specialized customers and experts?
Yes. Recruit consumers, your own customers, business buyers, and specialized experts through targeted screening, User Interviews Research Hub, and managed recruiting.
