Discover key strategies for building adaptable mobile labs tailored to ensure streamlined data capture across diverse on-the-road environments.
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Lindsey DeWitt Prat
Director
Lindsey brings extensive research experience in industry and academia, including formal training in ethnographic field methods, to help clients achieve their objectives. Lindsey excels in a range of UXR methodologies, research and workshop design, collaboration with cross-functional partners, and coordinating with / communicating insights to global partners. Now based in Paris, she has lived and worked in the US, Japan, Belgium, Germany, and France. Lindsey holds a PhD in Asian Languages & Cultures from UCLA.
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- Bold Insight to present on AI research in African contexts at EPIC2024
- Bold Insight to host webinar for UX professionals using AI-enabled tools in their research
- Context, accents, and privacy: Overcoming hurdles of AI translation tools in global UX research
- Bold Insight to present findings from global study on AI tools at UX Masterclass
- The role and challenges of speech technology in global UX research
- Not sure how to use AI tools in your UX research? Consider making it your sparring partner
Read our team’s latest bold insights
Design for all: Elevate your product design to include all genders and sexualities
Inclusive design matters more than ever. This Pride Month, learn practical tips to incorporate diversity in your UX research and elevate your product design to reflect and respect all genders and sexualities, ensuring no one feels marginalized or excluded.
Three steps to successful UX research on the road
UX research is crucial for auto manufacturers to improve in-car experiences and prevent design issues. This post outlines key steps learned over two decades for effective on-the-road UX research.
Integrating FDA’s new cybersecurity guidance into medical device human factors engineering processes
Connected medical devices offer benefits but also pose cybersecurity risks that can disrupt patient care. The FDA’s new guidance highlights the need for strong cybersecurity measures and provides recommendations for integrating these measures into human factors engineering to ensure device safety.