Invite product managers, researchers, support agents, and engineers into short tagging sessions. Shared exposure reduces translation gaps and builds alignment on what matters now. Use a simple schema, stop when saturation appears, and document surprising outliers that hint at emerging opportunities worth a quick experiment.
Create dashboards that count mentions and track sentiment, but always pair numbers with stories that explain context. A spike means little without understanding triggers. Triangulate with usage data, support volume, churn notes, and win-loss interviews to confirm direction before committing precious build capacity.
Turn clusters into falsifiable statements that describe who, what, and why. Prioritize using impact, confidence, and effort. For each hypothesis, capture example quotes, affected workflows, and success indicators. Then run just-enough tests that either reduce uncertainty or close the loop quickly with a confident decision.