The way people interact with technology is evolving, shifting from command-based keywords to conversational complexity.
Generative AI is rewriting user expectations
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Hailey Fehrenbach
Senior UX Researcher
Hailey is a classically trained human factors engineer with over 5 years of experience in medical device and healthcare analytics product development. With a background in design, engineering, and research, she delivers useful, usable, and engaging experiences for all customer touch points across medical device and healthcare industries. Her experience spans research on robotic surgical equipment and combination devices for at-home use, to the design and development of neurotech and cardiac diagnostic platforms. Hailey has a BS in Design from the University of Cincinnati and a MS in Industrial and Human Factors Engineering from Wright State University.
Bold facts
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Hailey
Something unique about you summed up in one sentence:
I live in a 100-year old house. It's definitely not haunted.
Share an interesting fact:
I have a super cute Cavalier King Charles named Lenny.
In your spare time (or if you had spare time), you would absolutely do this:
Travel internationally.
Your favorite city in the world is...and why?
New York City because of the energy it gives off!
Your ultimate celebrity dinner party guest list would include...
Kristen Wiig, Taylor Swift, Virgil Abloh, and Bill Nye.
Long-term personal goal:
Running a marathon.
Favorite book:
Bossy Pants by Tina Fey.
What is your favorite way to give back to the community?
Helping to plant community food gardens.
Read Hailey's bold insights
Read our team’s latest bold insights
The retail funnel has collapsed: Why agentic AI demands a new research playbook
CES 2026 made one thing clear: the traditional retail funnel is obsolete. As agentic AI reshapes how people discover, decide, and buy, UX research must adapt to a non-linear, trust-driven, agent-to-agent economy.
The real gold rush in autonomous vehicle rideshare is the ecosystem
We break down why the future of AV ridesharing depends on human-centered infrastructure, not just AI.
Word processing vs. world processing: The cultural work AI can’t do
AI systems can produce fluent language, but they do not understand or convey the cultural meaning behind it. UX research surfaces the gap between what a system produces and what users actually experience.