Taming the CX data deluge - AI-Powered User Insights | Interview with Arnob Mukherjee, Olvy
In episode 16 of Brilliant’s AI for UX video series dedicated to emerging AI tools for UX research, we interviewed Arnob Mukherjee, Co-Founder at Olvy. In this interview, he discusses how AI tools like Olvy are allowing product teams to dramatically increase the number of evidence-based decisions they make by analyzing multiple data streams at once.
“The biggest problem for any company is to unify the voice of the customer. We work with the raw data …pushing it into a system that understands what is customer feedback and what is not.”
Olvy is an AI-enhanced tool that unifies and analyzes qualitative customer feedback from various sources to provide actionable insights. In this conversation, we explore how AI tools enable real-time collection and analysis of feedback, providing timely insights that can inform ongoing product development and improvement.
Key topics and takeaways from this AI 4 UX conversation include Arnob’s view on:
AI as a Research Assistant: Olvy can automate the structuring and analysis of raw data, significantly reducing the manual effort involved in traditional UX research methods.
Evidence-Based Decision Making: AI tools provide product teams with solid evidence to support their decisions, enhancing their ability to advocate for customer needs within their organizations.
Streamlining Feedback Analysis: How Olvy empowers teams to categorize feedback and identify key issues and themes without manually sifting through data.
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“AI 4 UX” is a space to consider the future of user experience (UX) research with artificial intelligence (AI), brought to you by Brilliant. Join us as we interview leaders and founders of some of the most popular AI tools for UX research. Learn more about Brilliant’s AI 4 UX series.
