BlogWhat is AHT? A Complete Guide to Average Handle Time

What is AHT? A Complete Guide to Average Handle Time

What is Average Handle Time (AHT) and How to Calculate It?

Businesses that interact directly with customers need reliable ways to evaluate how efficiently their service teams handle customer requests and support inquiries. To monitor performance and maintain service standards, organizations track several key performance indicators (KPIs) that measure the effectiveness of customer interactions.

One of the most widely used KPIs in customer service environments is Average Handle Time (AHT). It is commonly used in call centers, help desks, and customer support teams across many industries to assess operational efficiency and agent productivity.

In this blog, we’ll explore what AHT is and why it plays a crucial role in call center performance. You’ll also learn how to measure and improve it without compromising customer experience.

Key Highlights:

Average Handle Time is a vital metric that measures how long agents spend on customer interactions, helping call centers track efficiency and manage costs.

To calculate AHT, combine talk time, hold time, and After-Call Work, then divide by the total number of calls handled during a specific period.

AHT should be optimized without sacrificing service quality, balancing shorter call duration with effective first call resolution to maintain customer satisfaction.

AHT can be improved through better training, smarter call routing, automation, upgraded tools, and by focusing on resolving issues in the first interaction.

What is Average Handle Time?

Average Handle Time (AHT) is a key metric that measures the average duration of a single customer transaction, including hold time, talk time, and After-Call Work (ACW). In simple terms, it shows how long it takes your team to fully resolve one customer call.

Rather than focusing on just the conversation itself, AHT represents the full call handling process behind each interaction. It captures the flow of work involved in addressing customer needs, including any pauses during the interaction and the completion steps required afterward.

How to Calculate Average Handle Time?

To calculate AHT, add the total talk time, total hold time, and total After-Call Work, then divide the sum by the total number of customer interactions handled during the same period.

Formula:

Average Handle Time = (Total Talk Time + Total Hold Time + Total After-Call Work) ÷ Total Number of Calls

Where,

  1. Total Talk Time: The actual duration of the conversation between the agent and the caller.
  2. Total Hold Time: The time the customer spent on hold while the agent researched a solution or consulted a supervisor.
  3. Total After-Call Work: The time spent by the agent after the caller hangs up to update the CRM, send follow-up emails, or tag the call for reporting.
  4. Total Number of Calls: The sum of all handled calls within the specific period you are measuring (daily, weekly, or monthly).

Example:

Let’s say your call center tracks performance for one day.

During that day:

  • Total talk time = 900 minutes
  • Total hold time = 200 minute
  • Total After-Call Work = 300 minutes
  • Total calls handled = 250 calls

Now,

Average Handle Time = (Total Talk Time + Total Hold Time + Total After-Call Work) ÷ Total Number of Calls

= (900 + 200 + 300) ÷ 250

=1,400 ÷ 250

=5.6 minutes

Thus, the Average Handle Time is 5.6 minutes per call, which means each customer interaction takes about 5 minutes and 36 seconds on average.

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What is a Good Average Call Handling Time?

A good average call handling time generally falls around 6 minutes, according to industry standards. However, the ideal AHT varies depending on call complexity, customer expectations, support channels, and industry standards.

Retail and travel tend to have shorter AHT (3–5 minutes), while technical support and healthcare often require longer interactions (6–10 minutes) due to more complex inquiries. Rather than aiming for a specific number, businesses should compare their AHT against industry benchmarks while prioritizing First Call Resolution (FCR) and customer satisfaction.

Average Handle Time vs. First Call Resolution

Both AHT and FCR are important call center metrics, but they measure different outcomes. AHT focuses on how long your agents handle a call, while FCR measures whether the customer’s issue gets resolved in the first interaction.

Aspect

Average Handle Time (AHT)

First Call Resolution (FCR)

DefinitionMeasures the average duration of a customer interaction from start to finishMeasures the percentage of customer issues resolved during the first contact
FormulaAHT = (Talk time + Hold Time + After-Call Work Time) / Total Number of CallsFCR = (Total No. of Customer Queries Resolved In First Call / Total No. of Unique Customer Inquiries) × 100%
Primary FocusOperational efficiency and agent productivityIssue resolution effectiveness and customer satisfaction
GoalReduce unnecessary time spent per interactionResolve customer issues without repeat contacts

Why Does Average Handling Time Matter for Your Business?

Average Handle Time shows how long agents spend handling customer calls or requests on average. It helps organizations understand the time taken to resolve customer issues and improve efficiency while maintaining good service quality.
reason why aht matter for your business

  1. Improves Operational Efficiency: AHT helps identify delays in workflows, tools, or systems that slow down operations. High handling times often point to bottlenecks or unnecessary steps in the process. By addressing these issues, businesses can streamline their operations and ensure smoother task flow.
  2. Controls Costs: Longer calls require more agent time, increasing labor costs. By keeping AHT at an optimal level, call centers can allocate resources wisely and reduce operational expenses.
  3. Supports Performance Management: AHT provides insight into individual agent performance. It helps managers identify areas where employees may need additional training or support to improve their handling skills.
  4. Improves Workforce Planning: By analyzing AHT trends, call centers can forecast staffing requirements more accurately, reducing wait times and ensuring that customer demand is met consistently.

What are the Factors Affecting AHT?

Factors affecting Average Handling Time include call complexity, agent experience, available tools, customer behavior, and internal workflows.

  1. Call Complexity: Simple inquiries, such as order status checks, take less time, while technical troubleshooting or billing disputes require longer interactions.
  2. Agent Experience and Skill: Experienced agents with strong product knowledge and problem-solving skills handle calls faster. New or undertrained agents may spend more time resolving issues, increasing AHT.
  3. Availability of Tools and Resources: Access to efficient CRM systems, knowledge bases, and internal documentation affects how quickly agents can resolve issues. Poorly integrated or outdated tools slow down call handling.
  4. Customer Behavior: Some customers require more time to explain their problem, ask questions, or need reassurance. This naturally extends the call duration.
  5. Process and Workflow Efficiency: Complicated scripts, multiple handoffs, or lengthy verification processes add to AHT.
  6. After-Call Work: Time spent documenting notes, updating records, and completing follow-up tasks contributes directly to AHT.

How to Improve Average Handle Time?

To improve AHT, you should focus on better agent training, smarter call routing, and efficient use of technology like CRM systems and automation tools. At the same time, prioritize first call resolution, streamline scripts, and regularly analyze call data to reduce delays without affecting service quality.

  1. Provide Agent Training: Regular training helps agents improve product knowledge, communication skills, and system navigation. Well-prepared agents handle customer interactions more confidently and reduce unnecessary delays during calls.
  2. Improve Call Routing: A well-structured IVR (Interactive Voice Response) system and intelligent call routing connect customers to the right department or agent from the start, minimizing transfers and repeated explanations.
  3. Implement Self-service Options: Offer self-service options like chatbots and IVR systems to manage routine inquiries, so agents can dedicate their time to resolving more complex customer issues efficiently.
  4. Upgrade Tools and Technology: Invest in user-friendly CRM systems and AI-powered knowledge bases so agents can quickly access customer information and solutions.
  5. Streamline Call Scripts: Simplify call scripts by removing unnecessary steps and asking only essential verification questions needed to confirm the customer’s identity. This helps agents handle calls faster while keeping the conversation clear, natural, and focused on solving the customer’s issue.
  6. Monitor and Analyze Call Data: Regularly reviewing call recordings and performance reports helps identify bottlenecks, common customer issues, and training opportunities.
  7. Prioritize FCR: Call centers should encourage agents to resolve issues on the first interaction. Focusing on first call resolution helps optimize AHT while maintaining service quality.
  8. Automate After-Call Work: Use automation tools to log call notes, generate summaries, and send follow-ups. This reduces time spent on post-call tasks.

Conclusion

Average Handling Time is an essential metric for businesses to measure performance, manage operational costs, and plan workforce allocation. While lowering AHT can boost productivity, it must be balanced with maintaining high service quality and achieving better First Call Resolution.

To reduce AHT while maintaining high service standards, businesses can implement strategies such as agent training, efficient call routing, streamlined scripts, self-service options, and analyzing call data. Platforms like Calilio support these improvements by providing advanced call management and analytics features that help teams monitor and optimize call performance.
 

Calilio offers tools such as Average Close Time tracking with customizable time settings, helping businesses understand how quickly calls are resolved. It also provides AI-powered call transcription that highlights the outcome of each call, along with call notes and tagging features that make it easier to document interactions and reduce After-Call Work. Join Calilio today!


Summarize this blog with:

Frequently Asked Questions

What are the top agent assist platforms for reducing Average Handle Time?

You can decrease Average Handle Time in a call center by using agent assist platforms like Cresta, Balto, Observe.AI, or Kore.ai, which provide real-time AI coaching, automated call summaries, and instant access to a knowledge base.

What metrics are related to Average Handle Time in call centers?

What are the best Voice AI agents for reducing Average Handle Time?

FAQ Illustration

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