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Smart Ways to Improve Your Contact Center Average Handling Time

10 min read
May 5, 2025

It was 4:58 p.m. on a Friday when Mia, a customer support lead at a fast-growing tech company, noticed something odd. Despite hiring new agents to handle calls, call queues were long, customers were frustrated, and her team felt the heat. The culprit? Average handling time — or as her dashboard said, AHT: 12.4 mins.

Mia had always known AHT mattered, but now it was front and center. Long handling times weren’t just slowing down her team — they were dragging down customer satisfaction, bloating costs, and making it harder to scale. She needed a fix — and fast.

If Mia’s story feels familiar, you’re not alone. Average handling time is one of those metrics that seems simple on paper but gets complicated fast in real-world support environments. This article dives into improving AHT correctly, not by rushing through conversations or cutting corners, but by optimizing processes, empowering agents, and using the right tools to work smarter, not just faster.

What is the average handling time?

Average handling time (AHT) is a key performance indicator (KPI) commonly used in customer service and call center environments. It measures the average duration of a customer interaction, including:

aht formula

Why improving average handling time matters

While it’s important not to compromise service quality, reducing average handle time offers several operational and customer experience benefits:

Improved contact center efficiency

Minimizing average hold time allows contact centers to handle more calls with the same number of agents. This leads to better resource utilization, reduced call center costs, and improved return on investment for customer support operations.

Reduced response average times

Shorter handling times often translate to reduced wait times and queue lengths for other customers, enhancing the overall service speed and responsiveness. Reducing average handle time ensures your company has high-quality service, streamlining processes even during increased call volumes.

Increased customer satisfaction

Customers appreciate prompt, efficient call center agents. If their issue can be resolved quickly without compromising quality, it contributes to a better customer experience and improves net promoter score (NPS) or Customer Satisfaction Score (CSAT).

Better agent performance

When contact center agents spend less time per interaction, they also reduce the time customers spend waiting, reducing the average length of idle time and potentially increasing motivation through meeting or exceeding performance targets.

Scalability

Contact centers aiming to grow their customer base without proportionally increasing support headcount benefit from good AHT, as it supports scaling without significantly increasing costs. You can improve customer satisfaction scores by improving average talk time, and there is no better way to do that than with agent performance.

Improving AHT is important, but not at the expense of service quality. If agents hurry customers through calls just to improve AHT, it can lead to:

  • Poor first-call resolution (FCR)
  • Increased call-backs or escalations
  • Decreased customer satisfaction
  • Burnout among agents
Balancing average handling time with other metrics like FCR, CSAT, and Quality Assurance (QA) scores is crucial.

What do you need before improving average handling time

Improving average handling time (AHT) isn’t just about quick fixes and building the right foundation. If you don’t have the essentials, you’ll risk solving the wrong problems or introducing changes that don’t stick. Here’s what you really need before you dive into optimization:

Clear and accurate AHT data

Establish your baseline using dashboards or reports. You’ll need this not only to spot inefficiencies but also to measure progress once improvements begin.

Start by asking:

Tip: Segment AHT by issue type, team, or channel to find your real problem areas. AHT might be high for specific tickets, but not others, and that nuance matters.

Defined and documented support processes

You need to understand what’s supposed to happen during a call or chat before you can streamline it. Determine the support team's workflow to know where the pain point lies.

Ask yourself:

If every agent handles issues in their way, start by aligning on best practices. Standardization is step one to identifying and eliminating unnecessary friction.

Team buy-in (and input)

If agents feel like AHT targets are another pressure point, you’ll never get real results. Improvement starts with collaboration, not top-down directives.

Here’s how to bring them in:

You’ll get better ideas and more motivation when the team feels part of the solution.

The right tools in place

Even the best agents can’t work efficiently if they switch between five tabs to find basic info. Make sure your tech stack supports fast, smooth service:

If your tools are clunky, no amount of coaching will fully fix AHT. Make tech your ally, not a bottleneck.

Check how AI enhances support team processes in LiveChat.

Ways to improve average handle time

Improving average handling time (AHT) requires a combination of process optimization, agent enablement, and innovative use of technology. Below are key strategies companies can use to effectively improve AHT without compromising service quality:

Streamline call routing and IVR systems

Provide comprehensive agent training

Leverage knowledge bases and AI tools

Automate after-call work (ACW)

Optimize agent desktop interfaces

Implement real-time performance monitoring

Encourage first call resolution (FCR)

Run call simulations and quality reviews

Tip: Always monitor other metrics (like CSAT, FCR, and call quality) to ensure reductions in AHT are not negatively impacting customer satisfaction or issue resolution.

How to build an AHT improvement plan

Improving average handling time (AHT) isn’t about finding a magic fix — it’s about connecting the dots across process, technology, and people. Once you’ve laid the foundation (clear data, team buy-in, defined workflows), it’s time to build a focused, actionable AHT improvement plan that your team can rally behind. Here’s how to bring it all together:

StepActionDetails/toolsAHT impact
1. Set goalsDefine realistic AHT benchmarks by channel & issue typeSegment by chat, email, voice, simple vs complex ticketsFocuses team efforts and avoids unrealistic expectations
2. Identify time drainsAudit long interactions to find slow pointsUse call/chat recordings, agent interviews, and screen capturesReveals root causes behind high AHT
3. Upgrade techImplement efficient live chat software & workflowsUse features like canned responses, pre-chat forms, CRM integrations, and concurrent chat handlingCuts down response and handling time significantly
4. Empower and coach agentsUse AHT as a guide for coaching, not pressureShare individual AHT reports, pair with CSAT/FCR, encourage ownership and autonomyImproves handling efficiency & avoids quality trade-offs
5. Track progress and celebrate winsCreate and maintain a live dashboardTrack AHT weekly/monthly by agent, issue type, channelReinforces momentum and helps course-correct in real time

Step 1: Set realistic, context-aware goals

Start by analyzing your baseline AHT and breaking it down by:

Then, set realistic, tiered targets. For instance:

Ensure agents understand that the goal is smart efficiency, not speed for speed’s sake.

Step 2: Identify top time drains

Pull a sample of long-handling-time interactions and look for patterns:

Use tools like call recordings, screen shares, and agent interviews to map out what’s eating up time.

Step 3: Upgrade tech - especially real-time support tools

One of the fastest ways to reduce average handling time is by using live chat software optimized for speed, context, and automation. Here’s how platforms like LiveChat can help:

✔️ Instant context access

LiveChat can automatically pull in customer details (name, past orders, location, device, etc.) so agents don’t waste time asking for info or switching tabs.

✔️ Canned responses and snippets

Agents can use pre-written replies for FAQs, greetings, or transactional steps, slashing response time while maintaining consistency in tone.

✔️ Concurrent chat handling

Unlike voice support, live chat allows agents to handle multiple conversations simultaneously, significantly improving support efficiency.

✔️ Integrated workflows

LiveChat integrates with CRMs, ticketing systems, and analytics platforms. This means faster after-chat work and seamless hand-offs, reducing post-interaction time.

✔️ AI chatbots for frontline triage

You can set up AI bots to:

This pre-work reduces handling time once a human steps in.

Tip: Use LiveChat’s chat transcripts and AHT reports to spot where agents get stuck and optimize your flows further.

Step 4: Coach and empower agents continuously

Read the Agent's Handbook and help your team succeed!

Use AHT trends to guide coaching, not punish performance. For example:

Empower agents with decision-making authority where appropriate. Sometimes long calls come from unnecessary escalations or policy bottlenecks.

Step 5: Track progress and share wins

Create a dashboard (or use your live chat’s built-in reporting) to:

Celebrate early wins, whether a 30-second improvement on simple queries or reduced post-chat work time.

Final thoughts

Remember Mia? The support lead staring down that stubborn average handling time number late on a Friday afternoon?

Fast-forward a few weeks, and things look very different. Mia began to see real traction after taking a hard look at her team’s workflows, involving her agents in pinpointing bottlenecks, and switching to LiveChat to streamline customer conversations. With features like canned responses, chat routing, and CRM integration, LiveChat helped her team handle more inquiries more efficiently without sacrificing the human touch.

As a result, her team's average handling time improved, customer satisfaction went up, and the support queue no longer loomed like a storm cloud. Thanks to tools that made their jobs smoother and smarter, her agents felt more empowered and less stressed.