Average Handle Time

Customer service teams track many numbers to understand how well their contact center is working. Some numbers measure speed. Others measure customer happiness, call quality, or how often a problem is solved the first time.

One of the most useful call center metrics is AHT. It helps managers see how long agents spend on each customer interaction from start to finish.

A recent McKinsey customer care report found that many service leaders are investing in better tools because customers expect faster and easier support. At the same time, Salesforce customer service research shows that customers expect companies to provide consistent service across departments and channels.

That’s why contact centers need to watch speed and quality together.

What Is Average Handle Time?

Average handle time measures how long it takes an agent to complete a customer interaction. It includes talk time, hold time, and after call work.

Talk time is the time spent speaking with the customer. Hold time is the time the customer waits while the agent checks information. After call work includes notes, updates, forms, and other tasks after the conversation ends.

AHT can help managers spot where calls slow down. For example, if agents spend too much time searching for answers, customers may stay on hold longer. If after call work takes too much time, agents may handle fewer calls each hour.

Knowledge management software in contact centers is one of the most important things you can do to help agents find the right answers faster.

How To Calculate AHT

The average handle time formula is simple.

(Total Talk Time + Total Hold Time + Total After Call Work Time) ÷ Total Number Of Calls

Here’s a simple example.

A contact center handles 300 calls in one day.

Agents spend 1,200 minutes talking to customers, 300 minutes with customers on hold, and 300 minutes doing after call work.

That equals 1,800 total minutes.

1,800 divided by 300 calls equals 6 minutes.

In this case, the AHT is 6 minutes.

This number helps managers compare performance over time. If handling time rises, leaders can review training, tools, workflows, and knowledge access.

What Is A Good AHT Benchmark?

There’s no perfect number for every contact center. A good benchmark depends on the industry, the type of customer issue, and the support channel.

Simple billing questions may take only a few minutes. Technical support, insurance questions, healthcare issues, or financial service calls may take longer because they often require more steps.

Many contact centers look at average handling time along with customer satisfaction, first call resolution, and repeat contact rate. Short calls don’t always mean better service. If agents rush customers, problems may come back later.

A 2025 Sprinklr call center statistics report notes that many call centers still aim to answer 80 percent of calls within 20 seconds. That shows how much speed still matters in customer support.

But speed can’t be the only goal. The best contact centers want fast answers, clear communication, and fewer repeat calls.

How To Reduce AHT Without Sacrificing Quality

Lowering handle time doesn’t mean agents should hurry customers off the phone. It means agents should have better tools, clearer steps, and faster access to trusted answers.

Give Agents Faster Access To Answers

One major reason calls take too long is that agents can’t find information quickly.

They may search several systems, ask a supervisor, or put the customer on hold while they look for the right policy. This adds time and can frustrate customers. Teams can reduce delays by improving knowledge access and by helping their agents find accurate answers faster.

Improve Training For Common Call Types

Agents should know how to handle the most common questions. Strong training helps them feel more confident and reduces time spent guessing.

Training should cover common problems, product details, call flow, and how to use internal knowledge tools.

When training and knowledge are connected, new agents can learn faster and experienced agents can stay more consistent.

Reduce After Call Work

After call work can quietly add a lot of time.

Agents may need to write notes, update customer records, choose call codes, or send follow up messages. If these steps take too long, the whole team becomes less efficient.

Better workflows, templates, and AI assisted summaries can help reduce extra work after the call.

Use Better Knowledge Management Tools

A strong knowledge system gives agents one trusted place to find answers. This can reduce hold time, shorten calls, and improve accuracy.

When agents can search policies, troubleshooting steps, product details, and service updates in one place, they don’t have to waste time switching between tools.

According to AmplifAI customer service statistics, AI assisted contact centers have seen a 14 percent increase in issues resolved per hour and a 9 percent reduction in handling time. That shows how better access to answers can support both speed and service quality.

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