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Kaitlin Stinson

Director

Kaitlin brings to Bold Insight over 14 years of experience as a human factors engineer at medical device manufacturers. She has extensive experience in diabetes care products, software as medical device (SaMD), and complex drug delivery systems. Kaitlin has a passion for meeting design control and regulatory requirements while executing agile human factors programs of research. She has a BS in Psychology from Ball State University and an MS in Human Factors from Bentley University.

Bold facts

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Kaitlin

Something unique about you summed up in one sentence:

I cycled 2,750 miles in one year.

Your favorite part of working at Bold Insight:

The dynamic, knowledgeable, and fun culture.

In your spare time (or if you had spare time), you would absolutely do this:

Ride my bike or go kayaking.

Your favorite city in the world is...and why?

Indianapolis because that’s where I see my family and friends the most.

You cannot start the day without doing this:

Drinking 40 oz of water.

Your ultimate celebrity dinner party guest list would include:

Bethanny Frankel, Lisa Vanderpump, Gizelle Bryant, & Kyle Richards

Long-term personal or professional goal?

Visit as many wine regions across the globe as possible.

Favorite quote:

“What is the cost of lies? It’s not that we’ll mistake them for the truth. The real danger is that if we hear enough lies, then we no longer recognize the truth at all.” ~ Valery Legasov

Read our team’s latest bold insights

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.

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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.

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