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.
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Katie Leyden
Director
Katie’s background in human-centered design, cultural analysis, and business positions her as both a creative and strategic thinker. She brings a cross-disciplinary understanding to ethnographic research and business analysis and has focused on various sectors including technology, e-commerce, entrepreneurship, and housing. She is driven by the desire to understand why people think the way they do and to find solutions for the everyday inconveniences. Katie graduated with a BA from the University of Notre Dame in American Studies with minors in Business Economics and Collaborative Innovation.



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- Bold Insight joins panel with Microsoft, IBM, and Dropbox at CRUX by User Interviews
- So you want to run a diary study: Five steps to successfully onboard participants
- Bold Insight and MedRythms co-publish article on validation study to improve walking for chronic stroke population
- 3 tips to successfully onboard in a remote environment
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.