Elissa Fine
Boynton Beach, Florida,United States
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Elissa Fine is a highly respected User Experience (UX) Research Leader, currently making significant contributions at Google. With a PhD and over two decades of experience in the field, she possesses deep expertise in understanding user needs, behaviors, and motivations to inform the design and development of impactful and user-centric technology products. Her work typically involves leading complex research initiatives, mentoring teams of researchers, and translating research insights into actionable strategies that drive product innovation. Elissa is known for her ability to bridge qualitative and quantitative research methodologies, her focus on human-computer interaction, and her commitment to ethical and inclusive design practices. She has a strong background in cognitive psychology, which underpins her approach to uncovering nuanced user insights.
Professional Summary
Elissa Fine's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
PhD in Cognitive Psychology
Earned a Doctor of Philosophy, providing a robust theoretical and methodological foundation for understanding human cognition and behavior, which she applies directly to user experience research.
UX Research Leadership at Google
Holds a significant leadership role within Google's UX Research organization, guiding research strategy, methodologies, and teams to shape globally recognized products and services.
Pioneer in Applied UX Research
Has been at the forefront of applying rigorous research methods to real-world product development challenges for major technology companies, influencing how user insights are gathered and utilized.
Advocate for User-Centered Design
Consistently champions the importance of understanding the user throughout the product development lifecycle, ensuring that design decisions are data-driven and empathetic to user needs.
Mentor and Thought Leader in UX
Contributes to the growth of the UX field by mentoring upcoming researchers and sharing insights through industry talks or internal knowledge-sharing initiatives, fostering a culture of research excellence.
Educational Background
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Company Overview
RecomRecom.ai is an AI-powered personalization platform designed for eCommerce businesses, particularly those using Shopify and other major platforms. It aims to boost sales and customer engagement by providing tools for personalized product recommendations, upsells, cross-sells, smart search, and frequently bought together bundles. The platform leverages machine learning to analyze customer behavior and deliver relevant suggestions, thereby enhancing the shopping experience and increasing average order value for online stores.
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