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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Scott Siebert
Partner
Scott’s background is in qualitative research and human behavior. He has been working in research for eight years, with a particular interest in human factors research. He has conducted research in a variety of industries, including health care, automotive, and financial services, with experience in focus groups, in-lab usability testing, summative medical testing, and in-car research. Scott has an MA in global politics from Illinois State University.
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Scott
Something unique about you summed up in one sentence
I was on the debate team in college and because of that I can speed read/talk
Your favorite part of working at Bold Insight
Knowing that I’ll always have the opportunity to work with smart, kind people who push me to work harder
In your spare time (or if you had spare time), you would absolutely do this:
Travel. I always enjoy seeing new places and experiencing new cultures
How long have you been in the UX field?
5 years
Your favorite city in the world is...and why?
Chicago. It’s home, and I have so many fond memories here
You cannot start the day without doing this:
Eating breakfast. I don’t drink coffee, but I’m useless if I don’t eat something.
Your ultimate celebrity dinner party guest list would include:
Paul McCartney, Conan O’Brien, Steve Carell. I think a combination of folks with musical and comedy backgrounds would be a lot of fun.
Long-term personal or professional goal?
Professionally, I would also love to gain some more experience with international studies. I also want to continue to grow in whatever role I have on each project, whether it’s taking notes, moderating, or leading. Personally, my wife and I have a goal to purchase a house in the next year.
Read Scott'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CES 2026 made one thing clear: the traditional retail funnel is obsolete.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.