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)...
Back to team page
Katrina Orlov
Senior UX Researcher
Katrina’s dual background in art and science has honed her ability to think creatively and with strong attention to detail. Katrina has led and supported UX research and design projects in the consumer product, e-commerce, and healthcare spaces. To each project she brings a wide range of experience in ethnography, contextual inquiry, diary studies, focus groups, individual interviews, expert reviews, usability studies, rapid iterative design testing, and ideation workshopping. Katrina has an MS in Human Factors in Information Design from Bentley 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?

You cannot start the day without doing this:

Your ultimate celebrity dinner party guest list would include:

Long-term personal or professional goal?

Your favorite city in the world is...and why?
Read our team’s latest bold insights
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.
Three things to improve acceptance of AI
To truly deliver on the promise of AI, developers need to keep the end users in mind. By integrating three components of context, interaction, and trust, AI can be the runaway success that futurists predict it will be.
Recruiting methods and study logistics for human factors and user research
A stronger recruiting strategy that includes relationships with patient support groups and clinical treatment centers can provide better access to difficult-to-reach patient populations. Being intentional about how you plan the logistics of your human factors and user research can mitigate risks to validity introduced by biases.