Resolution Intelligence is the use of AI and analytics to understand whether customer issues were actually resolved, not merely closed. It connects conversation content, agent or AI behavior, repeat contacts, sentiment, escalation, and operational data to determine what led to a successful or failed outcome.

Why Resolution Intelligence Matters: Many support systems track case closure, but closure is not the same as resolution. A ticket can be closed while the customer remains confused, frustrated, or forced to contact support again.

Signals Used: - Customer confirmation of resolution - Repeat contact within a defined time window - Sentiment after the proposed solution - Escalation or reopened cases - Fulfillment, billing, or account outcome data - QA score and policy adherence

How Teams Use It: CX teams use resolution intelligence to improve automation, coach agents, identify broken workflows, and understand which contact reasons are not being solved effectively.

Examples

A closed ticket is marked unresolved because the customer contacted support again two days later.
An AI agent response receives a good tone score but fails resolution because the workflow was incomplete.
A QA team finds that billing disputes are closed quickly but reopened often.

FAQs

How is resolution intelligence different from FCR?

FCR is a metric about first-contact resolution. Resolution intelligence is a broader analysis of whether an issue was truly solved and why resolution succeeded or failed.

Why is ticket closure not enough?

Ticket closure reflects workflow status. It may not reflect whether the customer goal was completed, the issue stopped recurring, or the customer felt satisfied.