Resolution rate tracks the percentage of customer interactions where the issue was resolved within a defined timeframe or interaction. On the surface it seems straightforward, but the nuances around what counts as 'resolved' make this metric more complex than it appears.
Teams measure resolution differently depending on their systems - some rely on agent-applied disposition codes, others track whether the customer contacts again within a set window, and some use customer confirmation of resolution. Each approach has blind spots. Agent-reported resolution can be inflated when agents mark issues as resolved prematurely. Callback-based measurement misses customers who give up entirely. The metric becomes meaningful when teams are honest about its limitations and supplement it with conversation-level analysis that examines whether the customer's actual problem was addressed, not just whether the ticket was closed.
