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!

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?