How long should it take to fix a customer problem? If you have ever stared at an open ticket wondering whether it is taking too long, you are already thinking about resolution time. The question is not just about speed. It is about whether customers get a complete answer without unnecessary delays.
Average resolution time is the typical length of time between when a customer opens a support request and when that request is marked fully resolved. It tells you how efficiently your team moves from first contact to final fix. Here is what you need to know.
What is average resolution time?
Average resolution time, sometimes called mean time to resolution, is the average duration from ticket creation to ticket closure. It includes every step in between. Waiting for customer replies, internal research, escalations to other departments, and the actual troubleshooting all count toward the total.
Teams usually calculate it by adding up resolution times for all closed tickets in a period and dividing by the number of tickets. If ten tickets took 2, 4, 6, 3, 8, 5, 7, 4, 9, and 2 hours respectively, your average resolution time is 5 hours.
Why does average resolution time matter?
Customers remember how long a problem lingered, not just how quickly someone said hello. A fast first reply followed by days of back-and-forth feels worse than a slightly slower but complete answer. Resolution time captures that full experience.
For your team, this metric highlights process bottlenecks. If resolution times climb while ticket volume stays flat, something in your workflow changed. Maybe agents lack access to the information they need. Maybe escalation paths got longer. The number points you toward the friction.
How do you use resolution time alongside other metrics?
Never look at resolution time in isolation. Compare it with first response time to see whether delays happen at the start or during the solve. Compare it with CSAT to learn whether faster resolutions actually make customers happier.
Segment your data by ticket type when possible. Password resets should resolve in minutes. Billing disputes involving multiple departments might legitimately take days. A single average across all ticket types hides those differences and can push your team to rush complex cases. The chapter on ticket volume helps you understand how workload affects resolution speed.
Frequently asked questions
What counts as a resolved ticket for resolution time?
A ticket is resolved when the customer's issue is fully addressed and no further action is needed from your team. Define whether you pause the clock when waiting for a customer reply or keep counting. Most teams pause during customer wait periods so the metric reflects agent performance, not customer response speed.
What is a good average resolution time?
There is no universal benchmark because ticket complexity varies by business. Track your own baseline over several months, then set improvement targets based on your most common ticket types. A drop from 48 hours to 24 hours on billing questions is meaningful progress even if another company resolves similar issues in 4 hours.
Can self-service content reduce average resolution time?
Better help articles and FAQ pages prevent simple questions from becoming tickets at all. For tickets that do arrive, agents resolve them faster when they can link customers to clear documentation. WEMASY lets you build and maintain help content through the website builder so answers stay current.
Should you include reopened tickets in resolution time?
Reopened tickets usually restart the resolution clock because the original fix did not hold. Tracking reopen rates alongside resolution time shows whether your team closes tickets too quickly without fully solving the underlying problem.
How do escalations affect average resolution time?
Escalated tickets almost always take longer because they involve multiple people or departments. Track resolution time separately for first-contact resolutions and escalated cases. That split shows whether delays happen at the front line or deeper in the organization.
Does pushing for faster resolution hurt quality?
It can if speed becomes the only goal. Pair resolution time with quality checks and Customer Effort Score so agents solve problems completely rather than closing tickets prematurely to hit a time target.