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If you’ve been online in the past 3 months, you’ll know the chatbot ChatGPT has captured the attention of people around the world with entertaining responses to anything imaginable, even boasting the capability to simulate a Linux terminal!

On today's episode of Unwrapped, Unwrap's Co-founder and Chief Product Officer, Ashwin Singhania, interviews Charles Williams. Charles is a passionate and experienced product manager specializing in information technology, start-up, and software development. He is currently serving as a Product Manager at Github Copilot.

Businesses are fighting to save money right now, understandably so, but many seem to be passing over a critical cost-saving piece - customer feedback. 

Seamlessly aggregate all of your customer feedback with Unwrap.ai

Most product development teams have their standard recurring meetings: weekly business reviews, engineering standups, launch checklist reviews. But the best teams I’ve worked with also obsess over their “voice of the customer” (VOC) meetings.

The sheer volume of customer feedback can be overwhelming and noisy, let alone finding the patterns and pulling important insights. That's where machine learning and artificial intelligence comes in. Machine learning (ML) is a subfield of artificial intelligence. 

If you ask any product manager or product ops team the question “would you like more user feedback?”, the answer is almost always a resounding “yes”. So then the question becomes, how do you get more user feedback?

As a former product manager at Amazon Alexa, I faced the daunting task of sorting through mountains of customer feedback every day. Think comments on Reddit, product reviews on Amazon.com, Twitter posts, support tickets, user research studies, etc. It was difficult to know what to focus on next, which areas to prioritize, and how to make sure our users were happy with the product.