On this episode, Meghan Hatalla, Senior Customer Experience Researcher at Veritas Technologies, discusses the use of machine learning and natural language processing to enhance user research and improve customer experience. She highlights the importance of data analysis, sentiment analysis, and personalization in understanding user behavior and needs, and talks about the challenges of implementing AI in customer experience.

Tune in to learn:

• The role of machine learning and AI in processing large data sets and identifying patterns in user behavior
• The importance of qualitative research in understanding user experiences and problem-solving
• How to Implementing AI in customer experience
• How to build trust and emotional connections for a positive customer experience
• Key Components of Effective Customer Interviews
• The Role of User Research in AI

About the Guest:

“Meghan is a Senior User Experience Researcher at Veritas Technologies LLC, a global leader in data protection and availability solutions. She has over 5.5 years of experience in using machine learning algorithms and natural language processing to analyze user interactions with websites, applications, or products, and to define, prioritize, and execute user research in support of strategic product goals.

As a certified project manager and UX professional, Meghan has developed communication strategies across mediums, designed effective UX in higher ed, assessed and applied scalable project management methodologies, and researched, planned, and implemented technology training activities. She is also an active member of several professional groups, a certified wine professional, and a freelance writer for various topics. Her mission is to integrate AI and machine learning into user experience research to streamline processes, provide more accurate insights, and ultimately contribute to creating more user-friendly and effective workflows.”

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