Average Handle Time (AHT)

Average handle time (AHT) is the average total time an agent spends on one customer interaction, from the moment it is answered to the end of the follow-up work, including talk time, hold time and after-call work.

What is average handle time?

Average handle time (AHT) measures how long, on average, one customer interaction takes to handle from start to finish. It is one of the most widely used metrics in any contact centre because it drives staffing: the longer each contact takes, the more agents you need for the same volume.

AHT covers three parts of an interaction:

  • Talk time - the time the agent is speaking with the customer.
  • Hold time - time the customer is on hold while the agent checks something or consults a colleague.
  • After-call work - the wrap-up after the customer has gone, such as notes, dispositions and follow-up tasks.

The standard formula is AHT = (talk time + hold time + after-call work) / interactions handled. The same idea applies to email, webchat and messaging, although handle time on digital channels is harder to measure because agents often work several conversations at once.

Why average handle time matters

AHT is the bridge between demand and staffing. Workforce management teams multiply forecast volume by AHT to calculate workload, then use models such as Erlang C to work out how many agents are needed to hit a service level. If AHT rises by 30 seconds across thousands of calls, the extra workload can be the difference between a calm queue and a long one.

AHT is also a useful diagnostic. A sudden rise for one call type might point to a new product, a confusing letter, a system that has slowed down or a process change. A wide spread between agents can reveal a training gap or a knowledge article that only some people know about.

Common mistakes with AHT

AHT is easy to measure and easy to misuse. The most common problems are:

  1. Treating it as a target in isolation. Pushing agents to shorten calls often lowers first contact resolution, so customers ring back and total workload goes up.
  2. Ignoring the mix of calls. Average AHT across all contact types hides the detail. A shift towards more complex calls will raise AHT even if every agent is working well.
  3. Leaving out after-call work. Measuring talk time only makes AHT look better on paper while agents sit in wrap-up for minutes after every call.
  4. Comparing across organisations. AHT depends on the type of work, systems and processes, so another company’s figure tells you very little about yours.

How to reduce AHT the right way

The aim is to remove wasted time, not useful time. The most reliable levers are:

  • Put information in front of agents. A single view of the customer, guided call scripting and a searchable knowledge base reduce searching and holds.
  • Automate wrap-up. AI call summarisation and agent assist tools can write notes and capture data, cutting after-call work significantly.
  • Fix root causes. If many calls are about the same confusing bill or delayed process, fixing the cause removes the calls altogether.
  • Route well. Skills-based routing sends each contact to an agent who can handle it without transferring.
  • Coach with evidence. Quality assurance and analytics show where time is being lost on specific call types, so coaching is targeted rather than generic.

Tracked alongside resolution and satisfaction, AHT becomes a measure of efficiency rather than a stopwatch.

How Telnet Helps

Where Telnet comes in

Telnet works on handle time from the agent’s screen outwards, rather than by telling people to talk faster.

  • Guided scripting and knowledge in ContactSuite. Agents see the customer’s context, the right script and the relevant knowledge article on screen, so they spend less time searching and less time on hold asking a colleague.
  • Less wrap-up with Iris. Iris captures details into structured fields during the interaction and writes up the outcome afterwards, which cuts the after-call work that quietly inflates AHT.
  • Routine calls handled by Tulip. Simple requests such as outage status or fault logging can be resolved by our AI voice assistant, leaving agents with the calls that need a person.

Because clients pay per interaction rather than per seat, we have every reason to make each interaction efficient without cutting it short.

FAQ

Average Handle Time FAQs

How do you calculate average handle time?

Add total talk time, total hold time and total after-call work for a period, then divide by the number of interactions handled. For example, if agents spent 500 hours across 6,000 calls, AHT is five minutes. Use handled calls, not offered calls, and keep the same definition over time so trends are meaningful.

What is a good average handle time?

There is no universal good AHT, because it depends on what the calls are about. A simple balance enquiry might take two or three minutes, while a complex billing dispute or fault report can take far longer. Compare against your own history for the same call type, and judge AHT alongside first contact resolution and customer satisfaction.

Can reducing AHT hurt customer service?

Yes, if it’s pushed as a target on its own. Agents under pressure to finish quickly may rush, skip checks or transfer calls, which leads to repeat contacts and unhappy customers. The better approach is to remove wasted time, such as searching for information, unnecessary holds and manual wrap-up, while protecting the time that actually resolves the issue.

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