You are the PM for a B2B AI customer service platform used by enterprise support teams to handle chat and voice interactions at scale. Over the last 2 quarters, product usage has grown 35%, but expansion revenue has slowed and several large accounts say the platform is not fully meeting agent and manager needs. You have access to product telemetry across workflows like agent assist, automation setup, and supervisor reporting, as well as customer feedback from interviews, support tickets, QBRs, and account team notes. Leadership wants a clear recommendation on where to invest next to improve retention and product-market fit.
How would you use customer feedback alongside product usage data in your analysis, and how would you turn those inputs into product recommendations and prioritization decisions?