Human-Centered Research for AI
We help product, UX, and AI teams embed human insight across the entire AI lifecycle, from early design to real-world deployment and beyond.
We run deep, ongoing research that reveals how people actually experience AI: what they understand, where trust breaks down, and how systems can better support them.
Through qualitative studies, user testing, and continuous feedback loops, we make sure your AI stays usable, understandable, and aligned even as it learns and evolves over time.
What's Included
Discovery research
on user needs, goals, and mental models related to AI
Prototype and concept testing
for early feedback on features, prompts, or automation
Usability studies
to ensure the AI is understandable, controllable, and meets user expectations
Trust and transparency research,
including reactions to explainability, system boundaries, and failure scenarios
Post-deployment testing
to monitor how users interact with AI in real-world contexts
Insight reports and team workshops
to translate findings into actionable product and design decisions
Who This Is For
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Product teams building AI-powered features and needing real-world user insights and validation
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UX design teams creating human-centric AI experiences
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AI teams seeking feedback to fine-tune models or prompts
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Organizations wanting to ensure their AI aligns with user expectations, behaviors, and values, not just technical performance
Why it Matters
Without human insight, even the most powerful models risk misunderstanding users, eroding trust, or going off course after launch.
This work helps you:
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Build systems users trust and want to adopt
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Avoid reputational, ethical, and legal risks
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Detect UX breakdowns and usability blind spots early
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Design AI that communicates clearly and respects user control
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Stay aligned as your system evolves in the wild