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.
Back to team page
Maggie Considine
UX Researcher
Maggie brings a background in psychology and human factors research with experience in both qualitative and quantitative methods. Her experience as a behavioral therapist, where she gathered insights from children with Autism, and working with neurodegenerative diseases, such as Alzheimer’s and Dementia, translates to a unique passion for product accessibility and usability. Maggie has a BA in Psychology from Butler University.
Bold facts
Learn more about

Something unique about you summed up in one sentence:

Your favorite part of working at Bold Insight:

Favorite quote:
Your favorite city in the world is...and why?

You cannot start the day without doing this:

Your ultimate celebrity dinner party guest list would include:

Best piece of advice you’ve been given:

What fictional family would you like to join?
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.
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.
Singularity and the potential impact on UX design principles
If we are approaching a rapid technology shift as some experts predict, core UX design principles will have to be redefined to adapt to radically different interaction models.