During a recent study, we asked participants how long they thought they would have to speak in order for their voice to be uniquely recognized (i.e., voice print). While their estimates varied widely - from 30 seconds to 30 minutes - most people said about three to...
Back to team page
Chris Goesel
UX Researcher, Clinical Liaison
Chris brings a unique skillset as a registered nurse with 17+ years of clinical experience in orthopedics and medical-surgical settings and a background as a charge nurse on behavioral health units. Moderating numerous medical device studies, she applies real-world expertise to test preparation and lab design. Her goal is to build rapport with participants and put them at ease the moment she meets them. Chris believes in active listening and creating a safe, non-judgmental environment to help participants engage and provide feedback on a deeper level. She has a BS in Nursing from Lewis University.
Bold facts
Learn more about

Something unique about you summed up in one sentence

Your favorite part of working at Bold Insight

In your spare time (or if you had spare time), you would absolutely do this:
How long have you been in the UX field?
Your favorite city in the world is...and why?

Your ultimate celebrity dinner party guest list would include:

Long-term personal or professional goal?

Any other facts to share?
Read our team’s latest bold insights
UX principles for robot design: Have we begun to baseline?
As the robotics industry continues to find its way into our lives, we can begin to identify UX design principles to apply to this tech to increase the acceptance of robots and improve the human-robot interaction experience.
AI benefits from GPU, not CPU advancements
A quick follow-up to our blog posts about AI… The name of the game is no longer Moore's Law where we see processors getting exponentially faster. AI technology is driven not by computing processes of the past, but from an evolution beyond central processing unit (CPU)...
The critical component missing from AI technology
The first step when developing AI is to understand the user need; but just as critical, is knowing the context in which the data is being collected.