Resolution rate measures the percentage of customer issues that are fully resolved — the customer's problem is solved, their question is answered, or their request is completed. It is the outcome-focused alternative to deflection rate and one of the most important metrics for evaluating AI customer service performance.

Resolution rate = (Issues fully resolved / Total issues handled) x 100

The critical word is "fully." A ticket marked as closed is not necessarily resolved. A customer who stops responding after a confusing chatbot interaction is not resolved. A customer who is given a partial answer and doesn't follow up is not resolved. Genuine resolution means the customer's need was met.

Measuring resolution accurately requires defining clear criteria:

• No recontact: The customer doesn't raise the same issue again within a defined window (7-30 days)

• Action completion: If the issue required an action (refund, account change, appointment), the action was successfully executed

• Customer confirmation: The customer explicitly confirmed the issue was resolved (via survey, follow-up message, or in-conversation confirmation)

Resolution rate is the metric that distinguishes AI systems that genuinely help customers from those that merely process interactions. Two AI platforms can both report handling 70% of incoming volume — but if one resolves 90% of those and the other resolves 50%, the customer experience and business impact are radically different.

For CX leaders evaluating AI vendors, asking "what is your resolution rate?" and "how do you define and measure resolution?" is more revealing than asking about automation rate or deflection rate. The definition is where vendors differentiate.

Related terms: deflection rate, first contact resolution, cost per resolution