Define a clear taxonomy for ticket categorization that everyone uses consistently. Create required fields for product area, issue type, and priority. When tagging is structured and enforced, reports become reliable and trends become visible. Messy data makes every decision a guess.

Build forms that capture context specific to your business like subscription tier, product version, or feature request type. Custom fields let you segment performance by customer segment or product area. This turns generic volume data into actionable insight about where to improve.

Create focused views that show key metrics agents and managers check daily. Track open tickets, aging items, SLA risk, and team workload in one place. Dashboards only work when they're simple enough to act on. Too many metrics create noise instead of clarity.

Use data to run regular retrospectives on what drove volume, where delays occurred, and what workflows need adjustment. Track trends month over month to see if changes are working. Data without review just sits unused. Regular analysis turns metrics into continuous improvement.