Shape what gets built. Prove what matters.
Help your organization focus on what people actually need. Auros combines flexible research methods, AI-powered workflows, and access to real participants so you can uncover opportunities, guide product strategy, and evaluate experiences, including conversational and agentic AI.
The faster organizations build, the more they need to understand.
AI is accelerating development and changing how people interact with technology. Faster execution brings more choices, not necessarily better decisions. Research teams help organizations identify valuable opportunities, understand emerging behaviors, and evaluate increasingly complex experiences.
More possibilities, harder priorities
When almost anything can be built, deciding what deserves investment matters more. Generative research uncovers unmet needs and helps teams prioritize opportunities worth pursuing.
New experiences, new questions
AI assistants and autonomous agents create unfamiliar expectations. Researchers investigate when people trust AI, what tasks they will delegate, and where they need control.
Growing demand, limited capacity
As more teams seek evidence earlier, research requests multiply. Researchers need ways to extend their reach while protecting quality, sound methodology, and strategic focus.
Lead the decisions that matter. Accelerate the research behind them.
Auros helps researchers uncover needs, investigate emerging behaviors, and evaluate experiences at speed. Combine generative and evaluative methods, AI-assisted workflows, and access to the right participants to guide decisions across the organization.
Discover what matters most
Explore unmet needs, motivations, behaviors, and opportunities through generative research. Help product teams identify meaningful problems and decide which experiences are worth building.
Shape human-AI experiences
Understand which tasks people want AI to handle, where human oversight matters, and what makes assistants and agents useful, predictable, and trustworthy.
Scale qualitative research with AI
Use AI moderation and AI-assisted analysis to capture contextual follow-ups, uncover themes, and explore more participant perspectives without moderating every session yourself.
Measure AI relationship quality
Assess conversational and agentic experiences with the AI Relationship Quality (ARQ™) benchmark, measuring understanding, trust, control, outcome, and affinity to uncover what deserves improvement.
Connect research to action
Use UserTesting MCP to bring study evidence, transcripts, and findings into connected AI workflows. Help teams apply existing research and make better product decisions.
Reach hard-to-find participants
Recruit consumers, customers, verified professionals, and niche experts through User Interviews, research panels, and managed services. Find participants who truly represent the audiences you study.
Find the right people for every research question.
Recruit everyday consumers, existing customers, specialized experts, and hard-to-reach professionals. Combine demographic and behavioral targeting, screeners, professional verification, private research panels, and custom sourcing to give every study the audience it deserves.
7.6M
People in our combined network
3.2M
Professionals across 140 industries
34
Core markets worldwide
Shape what gets built. Understand how it performs.
The most valuable research starts before product decisions are made. Discover opportunities, shape new experiences, and evaluate what works for real people. Use fresh evidence to influence priorities, designs, and future investments throughout the product lifecycle.
Discover and define
Investigate unmet needs, emerging behaviors, and problems worth solving. Inform which opportunities teams pursue, for whom, and why they matter.
Guide and shape
Explore concepts and workflows, define customer expectations for AI agents, and guide how new products should work for people.
Evaluate and evolve
Measure usability, trust, outcomes, and relationship quality. Bring what you learn back into product priorities and continuous experience improvement.
See how human understanding changes what organizations build.
Microsoft turns behavioral research into strategic decisions. Atlassian makes accessibility a product priority. BT Group used research to improve an AI assistant, increasing chatbot containment by 75%. See what human understanding makes possible.
We waste far less time hunting for evidence to inform how to move forward.
5
Behavior-based customer archetypes
Five archetypes helped Microsoft teams identify friction and prioritize more meaningful customer problems.
“It wasn't just about what needed to be fixed, but [Research Hub] also showed us how things had improved for different assistive technology users.”
“User-centered design used to come from a place of moving pixels and now it's moving companies against their competitors.”
Help shape what your organization builds next.
Whether you are exploring unmet needs, expanding research across teams, or evaluating new AI experiences, Auros brings together the people, methods, and technology to turn human understanding into meaningful decisions.
Frequently asked questions
What kinds of research does Auros support?
Auros supports generative and evaluative studies using interviews, surveys, moderated and unmoderated testing, think-aloud feedback, and additional qualitative and quantitative approaches.
How can researchers help shape AI agents?
They identify valuable use cases, investigate which tasks people will delegate, define expectations for trust and control, and evaluate conversational and agentic experiences.
How does AI help scale research work?
AI-assisted study creation, moderation, analysis, and MCP-enabled workflows help reduce repetitive work so researchers can spend more time interpreting evidence and influencing decisions.
Can Auros recruit specialized research audiences?
Yes. Reach professionals, niche experts, and your own customers using precise targeting, screeners, professional verification, Research Hub, and custom recruiting for hard-to-reach participants.
How does Auros support research governance?
Research leaders can define standards and oversee strategic studies while enabling designers and product managers to apply trusted insights and validate focused decisions.
What is the AI Relationship Quality benchmark?
ARQ assesses understanding, trust, control, outcome, and affinity in AI experiences, combining participant feedback with expert-led assessment to identify opportunities to improve the human-AI relationship.
