We track everything from clicks to usability, and we use visualization tools to analyze customer data, which has transformed our operations.

We are using AI across the company, with every customer service ticket seen by AI first, which has improved response times and accuracy.

I actively seek customer feedback by reaching out directly, which helps me understand their needs and avoid building products that don't address real issues.

As Listen Labs conducts more in-depth interviews, we gain a better understanding of customers, aiming to integrate customer insights into every company decision.

User feedback for our product comes not only from direct interactions but also from analyzing social media engagement metrics like views and shares, which provide ten to a hundred times more insights than direct feedback.

Modern marketing has shifted from traditional surveys to analyzing data streams from social media, allowing companies to understand consumer behavior more effectively.

We built a strong feedback loop by having the founders handle customer support, which helped us improve the product based on real user needs.

Using AI to summarize user behavior and engagement can enhance the user experience and provide valuable insights for improvement.

Our team is measuring everything from large-scale economic impacts to biases and how AI provides relationship advice.