You are working on a B2B customer support product that collects a steady stream of customer feedback, support notes, and product usage data. The team has enough signals to know users are frustrated in a few places, but not enough clarity on which problems matter most or what to build next.
How would you translate customer feedback and usage data into product recommendations?
