Average Handle Time, or AHT, is one of the most important performance metrics in call centers. It measures the total time spent handling a customer interaction, including talk time, hold time, and after-call work.
Reducing AHT can help a call center serve more customers, control operational costs, and improve agent productivity. However, the goal should not be to rush customers. Effective AHT reduction removes unnecessary delays while helping agents resolve customer concerns accurately.
Businesses using structured call center services can improve AHT through better workflows, trained agents, integrated technology, and regular performance monitoring.
What Is Average Handle Time?
Average Handle Time is the average amount of time an agent spends handling a customer call from beginning to end.
It includes:
- Talk time: The time spent speaking with the customer
- Hold time: The time the customer spends waiting during the call
- After-call work: The time spent updating records, writing notes, creating tickets, or arranging follow-ups
The standard AHT formula is:
AHT = Total talk time + Total hold time + Total after-call work ÷ Total calls handled
AHT is widely used to measure operational efficiency, but it should be reviewed alongside customer satisfaction, first-call resolution, call quality, and repeat contact rates.
Why Is Reducing AHT Important?
Improves Operational Efficiency
A lower AHT allows agents to handle more calls during a shift. It can also reduce queues during busy periods and improve the overall use of available staff.
Reduces Operational Costs
Longer calls require more agent hours and may increase staffing requirements. Removing avoidable delays can lower the cost of handling each interaction.
Improves the Customer Experience
Customers generally prefer clear and efficient support. Faster access to information, fewer transfers, and shorter hold times can make the experience more convenient.
However, shorter calls are only beneficial when the customer’s issue is properly addressed.
What Causes High Average Handle Time?
1. Insufficient Agent Training
Agents may take longer to understand customer concerns when they lack product knowledge, system training, or problem-solving skills.
They may also rely heavily on supervisors or transfer calls that could have been resolved independently.
2. Inefficient Tools and Systems
Slow customer relationship management systems, disconnected platforms, and repeated login requirements can add unnecessary time to every interaction.
Agents may have to switch between several systems to check customer records, order details, payment history, or previous support notes.
3. Poor Call Routing
Calls that reach the wrong department frequently result in transfers, repeated explanations, and longer resolution times.
Routing problems also increase frustration because customers may have to verify their information more than once.
4. Complicated After-Call Work
Excessive documentation, manual ticket creation, and repeated data entry can increase the time agents spend completing tasks after each call.
5. Outdated Knowledge Resources
Agents may spend too much time searching for answers when product guides, policies, and troubleshooting instructions are difficult to locate or no longer accurate.
Proven Strategies to Reduce Average Handle Time
1. Improve Agent Training
Well-trained agents understand products, systems, and support procedures more clearly. This helps them identify problems faster and provide suitable solutions without unnecessary transfers.
Training should cover:
- Product and service knowledge
- CRM and call center software
- Active listening
- Complaint handling
- Troubleshooting procedures
- Escalation rules
- Call control techniques
- Accurate documentation
Regular call center training for improved performance can help agents maintain their knowledge as products, systems, and customer requirements change.
Call reviews and role-playing exercises can also reveal where agents lose time during real conversations.
2. Use Smart Call Routing
Smart routing directs customers to the right agent or department based on their selected option, language, account type, location, or support requirement.
Useful routing methods include:
- Skill-based routing
- Priority-based routing
- Language-based routing
- Customer-segment routing
- Interactive Voice Response routing
- Escalation rules
- Call control techniques
- Accurate documentation
Well-designed IVR systems for businesses can collect basic information, guide callers to the correct department, and provide self-service options for simple requests.
IVR menus should remain short and clear. Complicated menus can increase customer frustration before the agent even answers.
3. Optimise Call Scripts
Structured scripts help agents remain focused and collect the necessary information efficiently.
An effective script can include:
- A brief greeting
- Customer verification questions
- Discovery questions
- Troubleshooting steps
- Hold and transfer language
- Escalation guidance
- Closing confirmation
Scripts should guide the conversation without forcing agents to read every sentence word for word. Rigid scripts may prevent agents from responding naturally to the customer’s actual concern.
4. Use AI and Automation
Automation can reduce repetitive administrative work and give agents quicker access to useful information.
Call centers may use automation for:
- Real-time response suggestions
- Call transcription
- Automated call summaries
- Ticket creation
- Customer verification
- Interaction categorisation
- Follow-up reminders
- CRM updates
AI tools should support agent judgement rather than replace it, particularly during complex or sensitive interactions.
5. Reduce After-Call Work
After-call work can significantly increase AHT when agents manually document every part of the interaction.
It can be reduced by:
- Using automated call summaries
- Integrating call systems with the CRM
- Creating standard note templates
- Using predefined interaction categories
- Automating ticket creation
- Removing duplicate data-entry requirements
Documentation should remain accurate. Reducing after-call work should not result in incomplete records that cause problems during future interactions.
6. Improve Knowledge Management
Agents should be able to find approved information quickly while speaking with a customer.
A centralised knowledge base may include:
- Frequently asked questions
- Product guides
- Policy information
- Troubleshooting instructions
- Escalation procedures
- Refund and return rules
- Account management steps
Content should be searchable, clearly organised, and regularly updated. Agents should also have a simple process for reporting incorrect or missing information.
7. Monitor and Analyse Call Data
Call center data helps managers identify why AHT is increasing and where delays occur.
Useful metrics include:
- Talk time
- Hold time
- After-call work
- Transfer rate
- Repeat contact rate
- First-call resolution
- Call abandonment rate
- Customer satisfaction
- Agent performance
Tracking relevant call center analytics helps managers determine whether high AHT is caused by training gaps, system problems, complicated processes, or certain types of customer enquiries.
Managers should review individual calls instead of relying only on averages. A high AHT may be reasonable when an agent handles complex technical or billing problems.
8. Improve First-Call Resolution
Reducing AHT should not increase repeat calls. A rushed interaction may appear efficient initially but create more work when the customer contacts support again.
Improving First Call Resolution helps agents solve more customer issues during the first interaction.
Call centers can improve FCR by:
- Giving agents access to complete customer records
- Providing clear escalation procedures
- Increasing agent authority for common requests
- Updating knowledge resources
- Reducing unnecessary transfers
- Analysing repeat contact reasons
A slightly longer call may be worthwhile when it prevents several additional interactions.
Efficient vs Inefficient Call Handling
| Factor | Efficient Call Center | Inefficient Call Center |
|---|---|---|
| Call routing | Smart and skill-based | Random or manual |
| Agent training | Regular and structured | Limited or outdated |
| Systems | Integrated | Disconnected |
| Knowledge access | Centralised and searchable | Scattered or outdated |
| After-call work | Standardised or automated | Manual and repetitive |
| Resolution | Focused on FCR | Frequent repeat contacts |
| AHT | Controlled and consistent | High and unpredictable |
Challenges in Reducing AHT
Risk of Rushed Conversations
Agents may end calls too quickly when they are under excessive pressure to meet AHT targets.
Balancing Speed and Quality
Fast service should still include active listening, accurate information, and complete issue resolution.
Technology Limitations
Outdated systems can slow down even highly trained agents. Technology issues should not be treated as individual performance failures.
Agent Burnout
Unrealistic AHT targets can increase stress and encourage poor customer service behaviour. Targets should consider call complexity and customer needs.
Reducing AHT Without Sacrificing Quality
Reducing Average Handle Time requires a balanced combination of training, technology, routing, automation, and process improvement. The aim is not to shorten every conversation but to remove avoidable delays.
Call centers should evaluate AHT together with first-call resolution, customer satisfaction, transfer rates, and repeat contacts. This provides a clearer picture of whether calls are becoming more efficient or simply being rushed.
When agents have suitable training, accurate information, integrated systems, and clear authority, they can resolve customer concerns faster while maintaining service quality.
Frequently Asked Questions
What is Average Handle Time (AHT)?
AHT is the average time taken by a call center agent to handle a customer interaction, including talk, hold, and after-call work.
Why is reducing AHT important?
It improves efficiency, reduces costs, and allows agents to handle more customer interactions.
What is a good AHT benchmark?
A good AHT varies by industry but typically ranges from 3 to 10 minutes depending on complexity.
How does training reduce AHT?
Trained agents resolve issues faster, reduce errors, and minimize unnecessary transfers.
What tools help reduce AHT?
CRM systems, AI chatbots, call routing systems, and automation tools help reduce handling time.
Does reducing AHT affect customer satisfaction?
If done correctly, it improves satisfaction. However, rushing calls can negatively impact experience.
What is the biggest cause of high AHT?
Poor training, inefficient systems, and incorrect call routing are the most common causes.
