Average handle time

Average handle time (AHT) is a customer service metric that measures the average time it takes to complete a customer interaction — from the initial conversation through any processing time and the post-contact work that follows. AHT has three components: total talk time, hold or wait time, and wrap-up time.

Once limited to call centers, businesses now apply AHT across communication channels to optimize operational efficiency, manage workloads, and improve service performance.

Learn what AHT is in customer service, how to calculate it, and how to reduce it without losing sight of the customer experience.

How to calculate average handle time and analyze results

Calculating AHT is simple once you apply the AHT formula for the relevant channel. For calls, use:

AHT = (Total talk time + Total hold time + Wrap-up time) ÷ Number of calls

Suppose your contact center handled 100 calls last week after a new product launch. They logged 500 minutes of talk time, 250 minutes of hold time, and 250 minutes of wrap-up work. Your AHT for that week would be:

(500 + 250 + 250) ÷ 100 = 10 minutes per call

The calculation is even more straightforward for email and live chat because there’s no hold time to factor in. Simply divide the total handling time by the number of tickets or chats resolved.

Tracking these numbers over time and comparing them with industry benchmarks helps you spot trends — rising handle times or growing hold and wrap-up times — before they lead to customer churn.

A lower AHT often signals an efficient, well-run team, but speed alone isn’t the goal. If average time drops because agents rush interactions, you may see declines in first contact resolution (FCR) or customer satisfaction (CSAT) scores. The most effective teams balance speed with service quality to resolve issues both quickly and correctly.

How to reduce average handle time without hurting service quality

Here are some practical ways to bring down AHT without compromising customer satisfaction:

• Look for the root cause: A high AHT usually points to deeper operational problems. When handle times run long, conduct a root cause analysis to surface patterns like knowledge gaps or inefficient workflows. Sustainable improvements come from fixing what’s slowing your team down, not pushing agents to work faster.
• Take advantage of automation: Automating core customer support workflows, like routing and escalating tickets, cuts unnecessary admin time and frees agents to focus on resolving customer inquiries.
• Offer self-service options: A knowledge base for FAQs or a self-service portal for routine tasks helps offload basic inquiries. Adding AI chatbots to take care of common questions can bring down the first response time.
• Avoid tunnel vision: Lowering AHT shouldn’t come at the expense of other important metrics, like FCR and CSAT. The goal should be efficient, high-quality resolutions, not speed for its own sake.