Published: February 9, 2023
Last Updated: October 30, 2026
This article is part of Customer Service & Business Software

What Is Average Handle Time (AHT)?

Average Handle Time (AHT) is one of the most important performance metrics used by call centers and customer service teams. It measures the average time an agent spends handling a customer interaction, including the conversation, hold time, and after-call work.

AHT helps businesses understand how efficiently their customer service representatives (CSRs) manage customer enquiries and resolve problems.

The goal is not simply to make calls shorter. Instead, call centers should aim to resolve customer issues efficiently while maintaining service quality and customer satisfaction.

A high AHT may indicate complicated customer enquiries, inefficient processes, insufficient agent training, or outdated technology. On the other hand, an unusually low AHT may suggest that agents are rushing through conversations without fully resolving customer concerns.

So, how can call centers improve their average handle time without sacrificing customer experience?

Here are ten effective strategies to consider.

How Is Average Handle Time Calculated?

Before improving AHT, businesses should understand how it is calculated.

The standard formula is:

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

For example, suppose a call center handles 1,000 calls during a particular period with the following figures:

  • Total talk time: 6,000 minutes
  • Total hold time: 1,000 minutes
  • Total after-call work: 2,000 minutes
  • Total handled calls: 1,000

The calculation is:

AHT = (6,000 + 1,000 + 2,000) ÷ 1,000

Average Handle Time = 9 minutes per call.

Tracking AHT regularly helps managers identify inefficiencies and measure the impact of process improvements.

10 Effective Ways to Improve Average Handle Time

1. Use Dynamic Scripts

One way to improve average handle time is by using dynamic call scripts.

Dynamic scripts are structured conversation guides that provide agents with relevant responses and instructions based on the customer’s questions or situation.

Instead of creating every response from scratch, customer service representatives can follow predefined guidance and adapt it to individual customer needs.

For example, if a customer calls about a billing issue, the script can guide the agent through identity verification, account review, common billing problems, and possible solutions.

Benefits of dynamic scripts include:

  • Reducing unnecessary conversation time.
  • Helping agents follow consistent procedures.
  • Improving response accuracy.
  • Reducing the need to search for information.
  • Supporting new employees during customer interactions.

However, scripts should not make conversations sound robotic. Agents should be able to adapt their responses naturally and handle unusual situations using their judgment.

2. Improve Call Center Coaching and Training

Providing regular coaching and training is another effective way to reduce average handle time.

Although training requires an initial investment of time, well-trained employees can manage customer enquiries more confidently and efficiently.

Agents who understand company products, services, policies, and troubleshooting procedures are less likely to spend unnecessary time searching for answers or transferring customers between departments.

Training programmes should cover:

  • Product and service knowledge.
  • Communication skills.
  • Active listening.
  • Problem-solving techniques.
  • Call handling procedures.
  • CRM and software usage.
  • Customer complaint management.
  • Escalation procedures.

Managers can also review recorded calls, identify areas for improvement, and provide individual feedback.

Role-playing exercises and simulated customer interactions can help employees become more comfortable handling difficult conversations.

The objective should be to help agents resolve customer issues correctly on the first attempt rather than simply encouraging them to finish calls faster.

3. Improve After-Call Work and Documentation

After-call work (ACW) refers to the tasks an agent completes after a customer interaction has ended.

These activities may include updating customer records, documenting the issue, recording actions taken, creating follow-up tasks, and categorizing the call.

Excessive after-call work can increase overall handle time and reduce the number of customers an agent can assist.

Call centers can improve this process through:

  • Automated call summaries.
  • Predefined documentation templates.
  • CRM integration.
  • Automatic call categorization.
  • Speech-to-text technology.
  • Automated follow-up task creation.
  • Simplified data entry forms.

For example, an integrated CRM system can allow agents to record customer information and update interaction histories without switching between multiple applications.

However, documentation should remain accurate and complete. Reducing after-call work should never mean removing information needed for customer service, compliance, or future interactions.

4. Gather Customer Information Automatically

Another effective way to improve AHT is to collect basic customer information before the call reaches a live agent.

Interactive Voice Response (IVR) systems allow callers to interact with automated menus using their keypad or voice.

An IVR system can collect information such as:

  • Customer account numbers.
  • Preferred language.
  • Reason for calling.
  • Service category.
  • Basic identification details.
  • Existing ticket or reference numbers.

Once the caller reaches an agent, the information can be made available through the connected customer service system.

This allows agents to understand the purpose of the call more quickly and avoid repeatedly asking customers for information.

Modern call center systems may also use Automatic Number Identification (ANI), customer relationship management (CRM) integrations, and intelligent call routing to improve the customer identification process.

However, businesses should collect only the information necessary for the interaction and follow appropriate privacy and security requirements.

5. Automate Repetitive and Time-Consuming Tasks

Automation is becoming increasingly important in modern customer service operations.

Call center agents often spend valuable time completing repetitive activities that can be automated.

Examples include:

  • Updating customer records.
  • Sending appointment reminders.
  • Creating support tickets.
  • Routing calls.
  • Sending follow-up emails.
  • Providing basic account information.
  • Categorizing customer enquiries.

Artificial intelligence (AI), natural language processing (NLP), and robotic process automation (RPA) can help automate certain tasks.

For example, an AI-powered virtual assistant can answer common questions about operating hours, order status, or basic service information before transferring more complicated enquiries to a human agent.

Automation can free up agents to focus on complex customer problems that require human judgment.

However, automated systems should provide a clear route to human assistance when customers need additional support.

6. Use Intelligent Call Routing

Intelligent call routing helps direct incoming calls to the most appropriate available agent or department.

Traditional call routing may send customers to agents based mainly on availability. More advanced systems can consider additional factors, including:

  • Agent skills and language.
  • Customer service category.
  • Customer priority.
  • Agent availability.
  • Previous interaction history.
  • Department specialization.

For example, a customer calling about a technical problem can be directed to an agent with technical support experience instead of being transferred multiple times.

This can reduce unnecessary transfers, improve first-call resolution, and support more efficient call handling.

Businesses should also monitor routing performance to identify departments or queues experiencing repeated delays.

7. Improve Knowledge Management Systems

Agents cannot resolve customer enquiries efficiently if they struggle to find the correct information.

A well-organized knowledge management system gives employees quick access to product information, troubleshooting instructions, policies, frequently asked questions, and standard operating procedures.

Important knowledge management features include:

  • Searchable information databases.
  • Frequently asked questions.
  • Troubleshooting guides.
  • Product documentation.
  • Internal support articles.
  • Regular content updates.
  • Role-based information access.

For example, an agent handling a product-related enquiry can search the knowledge base and quickly find the appropriate troubleshooting instructions.

Businesses should regularly review their knowledge articles to remove outdated information and ensure that agents can locate answers easily.

8. Monitor Calls and Analyze Performance Data

Call monitoring and performance analytics help managers understand why average handle time is increasing or decreasing.

Rather than relying on AHT alone, call centers should examine individual components of the metric.

For example:

  • High talk time may indicate complicated enquiries or communication difficulties.
  • High hold time may indicate slow internal systems or difficulty locating information.
  • High after-call work may indicate excessive documentation requirements.
  • Frequent transfers may indicate incorrect call routing or insufficient agent training.

Managers can use call recordings, dashboards, quality assessments, and analytics reports to identify these issues.

Some advanced platforms also offer speech analytics and AI-powered conversation analysis to identify recurring customer concerns and common reasons for longer calls.

The results can help managers improve training, documentation, workflows, and technology.

9. Improve CRM Integration

Customer Relationship Management (CRM) software helps call centers organize customer information, interaction histories, service requests, and follow-up activities.

When CRM systems are integrated with contact center platforms, agents can access relevant customer information without switching between multiple applications.

This can reduce repetitive questions, improve personalization, and help agents understand previous interactions.

For example, when a returning customer calls, the agent may be able to view previous support tickets, account information, and outstanding requests through the connected system.

CRM integration can also support automated workflows, customer segmentation, and performance reporting.

The right integration helps create a more organized customer service environment and reduces unnecessary administrative work.

10. Reduce Unnecessary Hold Times and Transfers

Long hold times and repeated transfers can increase AHT and frustrate customers.

Call centers should examine why agents place customers on hold and identify opportunities to resolve issues without unnecessary delays.

Some practical improvements include:

  • Providing agents with better internal support resources.
  • Establishing clear escalation procedures.
  • Improving access to supervisors.
  • Routing calls to specialized teams.
  • Using internal messaging tools.
  • Updating knowledge bases.
  • Reducing unnecessary approval steps.

When an agent needs assistance, a quick internal consultation may be more effective than transferring the customer to another department.

However, transfers should still be used when a specialist or authorized employee is required to resolve the issue.

Additional Technology That Can Help Improve AHT

Modern call centers use different technologies to improve efficiency, communication, and customer experience.

1. Interactive Voice Response (IVR)

IVR systems collect basic customer information and direct calls to suitable departments.

2. Automatic Call Distribution (ACD)

ACD systems distribute incoming calls to available agents according to predefined routing rules.

3. Customer Relationship Management (CRM)

CRM platforms organize customer records, interaction histories, and support activities.

4. AI-Powered Virtual Assistants

AI assistants can handle selected routine enquiries and provide support outside traditional business hours.

5. Speech Analytics

Speech analytics tools can analyze conversations to identify customer concerns, recurring issues, and opportunities for coaching.

6. Workforce Management Software

Workforce management systems help organizations plan employee schedules, forecast call volumes, and manage staffing requirements.

Important Call Center Metrics to Track Alongside AHT

Reducing average handle time should never be the only objective of a customer service department.

AHT should be monitored alongside other important performance indicators to ensure that efficiency improvements do not damage customer experience.

Metric What It Measures
Average Handle Time (AHT) Average time spent handling a customer interaction
First Call Resolution (FCR) Percentage of enquiries resolved during the first interaction
Customer Satisfaction (CSAT) Customer satisfaction with the service received
Average Speed of Answer (ASA) Average time customers wait before an agent answers
Abandonment Rate Percentage of callers who disconnect before reaching an agent
Service Level Percentage of calls answered within a defined target
Quality Assurance (QA) Quality and accuracy of agent interactions

For example, if AHT decreases but customer satisfaction and first-call resolution also decline, the changes may be negatively affecting service quality.

A balanced performance strategy should focus on efficiency, accuracy, and customer satisfaction together.

Common Mistakes to Avoid When Reducing AHT

Some call centers make the mistake of treating shorter calls as the only sign of better performance.

This can create poor customer experiences and increase repeat calls.

Avoid the following mistakes:

  1. Rushing customers: Agents should allow customers enough time to explain their concerns.
  2. Ignoring call quality: Shorter calls are not useful if customer problems remain unresolved.
  3. Overusing scripts: Agents should be able to respond naturally to different situations.
  4. Reducing necessary documentation: Important customer interactions must be recorded accurately.
  5. Ignoring employee feedback: Agents often understand operational problems that managers may not notice.
  6. Using automation without testing: Poorly configured automation can create additional delays.
  7. Focusing only on averages: Analyze individual call types and complex enquiries separately.

How to Build an Effective AHT Improvement Strategy

Call centers can follow a structured approach to improve their average handle time.

Step 1: Establish a Baseline

Calculate the current AHT and examine talk time, hold time, and after-call work separately.

Step 2: Identify the Main Problems

Review call recordings, agent feedback, customer complaints, and performance reports.

Step 3: Set Realistic Targets

Create improvement targets based on call complexity, customer expectations, and service requirements.

Step 4: Improve Training and Processes

Provide relevant coaching, update scripts, simplify workflows, and improve knowledge management.

Step 5: Introduce Suitable Technology

Evaluate IVR, CRM integration, intelligent routing, automation, and analytics tools.

Step 6: Monitor Results

Track AHT alongside FCR, CSAT, service level, and quality assurance.

Step 7: Continue Improving

Review performance regularly and adjust processes based on customer feedback and operational data.

Frequently Asked Questions About Average Handle Time

1. What is a good average handle time for a call center?

There is no universal ideal AHT. It depends on the industry, type of customer enquiry, service complexity, and customer expectations. Technical support calls may naturally take longer than simple account enquiries.

2. Why is average handle time important?

AHT helps call centers understand how efficiently agents manage customer interactions. It can support staffing decisions, operational planning, and process improvement.

3. Does reducing AHT improve customer satisfaction?

Not necessarily. Reducing unnecessary delays can improve customer experience, but rushing conversations may lead to unresolved issues and repeat calls. AHT should always be balanced with service quality.

4. How can AI help reduce average handle time?

AI can support call summarization, automated customer responses, information retrieval, conversation analysis, and repetitive task automation. These capabilities can help agents work more efficiently.

5. What is the difference between AHT and average talk time?

Average talk time measures the time agents spend speaking with customers. AHT includes talk time, hold time, and after-call work, making it a broader measure of interaction handling time.

6. How frequently should call centers monitor AHT?

Call centers should monitor AHT regularly through daily, weekly, and monthly reports. Reviewing trends over time helps identify operational issues and evaluate the impact of improvements.

Conclusion: Improve Call Center AHT Without Sacrificing Customer Experience

Improving average handle time requires more than asking agents to complete calls faster. Call centers need efficient workflows, well-trained employees, reliable technology, and easy access to customer information.

Dynamic scripts, employee coaching, automated documentation, IVR systems, intelligent call routing, CRM integration, and AI-powered tools can all contribute to more efficient customer interactions.

However, businesses should measure AHT alongside customer satisfaction, first-call resolution, and service quality.

By understanding the causes of longer calls and making targeted improvements, call centers can reduce unnecessary handling time, improve agent productivity, and deliver a better customer service experience.