Call Center Productivity: What to Track and How to Increase Productivity

Running a busy call center can feel like running an on-call fire service, with support agents constantly racing to address the latest incoming issues.

Still, how much of the race is necessary?

The answer lies in measuring call center productivity. Taking a step back and setting the right metrics for your team reveals how well you’re doing and where you can invest in doing better.

What Is Call Center Productivity?

Call center productivity is a measure that shows how efficiently your call center uses resources such as time, labor, and technology to assist customers. Call center productivity is a direct result of agent productivity, which in turn depends on two things:

• Agent motivation (the human factor): An unmotivated employee will only perform their job mechanically and do the minimum. In contrast, motivated call center agents will be proactive in making suggestions to improve processes and also willing to admit their mistakes.
• Tools and environment (the technology factor): Constant hang-ups in call center software don’t contribute to agent productivity either. In fact, technology is one of the biggest factors that can hinder or boost call center productivity (more on this later).

How Do You Calculate Call Center Productivity?

When it comes to calculating call center productivity, a simple formula is

This formula works well for getting a quick snapshot of your performance but not for digging deeper. To get a more detailed picture, you need to set up the right customer service metrics.

Ten Best Call Center Productivity Metrics to Measure

Getting a handle on your productivity makes sense, but what KPIs should you measure?

The best customer service metrics are ones that help you easily identify your call center’s weak points—for example, by comparing the exact number of agents per hour per call and the average wait time. Call center metrics can also show how satisfied customers are with your customer service. Finally, you must also track agent performance metrics to get a complete picture of your call center performance.

Here are ten simple metrics to get you started.

1. Average call duration

Average call duration (ACD) measures how long calls take on average. It’s calculated by dividing the total billable duration of all calls by the total number of calls. ACD can be useful for identifying patterns or trends, such as peak times or common reasons for long calls. This support agent performance metric also lets you calculate average handle time.

2. Average handle time

Average handle time (AHT) measures support rep productivity in terms of the time they spend handling customer interactions, including call duration and post-call work. You can use AHT to determine staffing and resource needs such as training, process changes, or software updates.

3. First-call resolution rate

The first-call resolution rate (FCR) is the percentage of customer requests resolved during the first call. It’s calculated by dividing the number of requests resolved on the first call by the total number of calls.

A high FCR shows that your customers are resolving their issues efficiently without calling back multiple times. This is one of the best customer service metrics, as customers are naturally happier if their issues get resolved in one call.

4. Percentage of unattended calls (call abandonment rate)

The percentage of unattended calls, aka the call abandonment rate, is the percentage of calls your agents don’t answer. It’s calculated by dividing the number of unanswered calls by the total number of calls.

A high abandonment rate means that a significant number of customers hang up before their call is answered, which may indicate poor call routing, inadequate staffing, or long wait times.

5. Number of agents per hour per call

If your call abandonment rate is high, you may want to look at another metric: the number of agents per hour per call. This metric shows how many agents are available to handle calls in a given time period. To calculate the number of agents per hour per call, divide the total number of agents on duty during a given hour by the total number of calls received during that hour.

This call center metric helps you determine the number of agents needed to handle call volume at different hours of the day—especially at peak times—to achieve optimal customer service staffing.

6. Average wait time

If your call center agents fall short or simply aren’t enough to handle the call volume, expect a high average wait time. As the name implies, this KPI refers to the average time a customer spends on hold before being connected to a customer service representative.

7. Service Level

Call center service level is typically calculated as the percentage of calls answered within a specified time—such as within 20 or 30 seconds—in relation to the total number of inbound calls. A standard service level is often set by an industry or a particular company. A low service level metric may indicate understaffing or problems with call routing and management.

8. Conversation to close rate

This is one of the outbound call center metrics that measure agent productivity in closing sales during the last customer interaction. This metric is calculated by dividing the number of successful closes or desired outcomes by a target number of successful outcomes. You can use this KPI to measure the performance of either a specific agent or an entire sales team.

9. Customer satisfaction score

Unlike some of the earlier call center metrics, the customer satisfaction score (CSS) focuses entirely on customer experience and shows how satisfied customers are with the service they receive. A low CSS may indicate low agent productivity and vice versa.

A CSS is typically calculated through a survey of customers who have recently interacted with customer service. In the survey, customers are asked to rate their satisfaction on a scale of 1 to 5 or with phrases such as “very satisfied,” “satisfied,” “neutral,” “dissatisfied,” or “very dissatisfied.” The survey results are then used to calculate an overall CSS.

10. Volume and quality of work

Volume and quality of work metrics help evaluate the amount and quality of work an agent or team performs.

• Volume of work indicates how many calls or interactions an agent or customer support team handles. It can include average handle time, service level, and abandoned call rate.
• Quality of work measures agent productivity in terms of the quality of interactions between reps and customers. It can include agent performance metrics such as first-call resolution, conversion to close rate, and customer satisfaction score.

Together, volume and quality of work metrics give you an overall view of customer support team performance and help you identify high- and under-performing support reps and teams.

Now that you know which agent performance metrics to measure, let’s move on to the best tactics for increasing customer service productivity.

How to Increase Call Center Productivity?

As you’ve already seen, call center productivity is influenced by both people and technology. In our tips, we’ll examine both of these factors.

1. Provide a pleasant work environment

Research suggests that keeping workers happy can boost employee productivity by 12%. Here are some steps you can follow to reach or exceed this figure:

• Communicate effectively. Encourage open communication, set up regular 1:1 reviews, and provide regular feedback to employees. Make sure that agents feel heard and valued.
• Show appreciation. Recognize and reward agents for good work and contributions. Appreciation can boost morale and motivation.
• Set a good example. Be respectful, approachable, and supportive as a leader.
• Promote work-life balance. Allow employees to take time off when needed, and if possible, offer hybrid schedules.

A positive work environment will help you retain support agents and reduce the need for new hires who are less productive during training.

2. Create an effective training program

Training programs are necessary so your call center agents don’t feel alone on challenging calls. You can start by discussing agent issues in detail and offering mentoring, especially during night shifts. It also won’t hurt to document action plans or best practices for specific cases. An internal knowledge base will give agents more confidence on the job.

But training isn’t just about agent experience. Well-trained and conscientious agents are more likely to improve all key call center metrics, including customer satisfaction, meaning your customers will spend less time on hold and call abandonment will go down.

Unfortunately, training can fall short if your overall environment doesn’t support the outcomes well. Using the latest technology can significantly boost the productivity of your team and your call center as a whole.

3. Deploy AI for automating manual tasks

AI has the potential to improve customer service significantly.
For example, AI-driven interactive voice response goes beyond traditional chatbots. This technology lets customers ask questions and get pre-defined answers or automatically directs them to a representative based on their query. As a result, customers reach the right agent and get the help they need on the first try, leading to fewer calls, shorter average wait times, and higher first-call resolution rates.

There are other applications, too. AI-powered systems can identify patterns and trends in historical call center data, such as transcripts and recordings. Call center managers can then use this information to make better data-driven decisions faster.

4. Use self-service to reduce call volume

Setting up self-service portals such as knowledge bases and FAQs can improve productivity in two main ways, even when your team isn’t available.

• Shorter customer wait times. Hubspot reports that in 90% of cases, customers prefer an immediate response to their issues. Self-service can often help customers resolve simple issues themselves without waiting on hold.
• Fewer agent interactions. 81% of all customers prefer to resolve their problems themselves before contacting a live operator. A self-service system lets customers get the information they need without speaking with a customer support team rep. As you reduce the need for human support agents, you can also reduce the cost of handling customer interactions across channels.

5. Integrate multiple systems for greater visibility and easy access

Call center agents typically work with a variety of applications, such as help desks or CRMs, live chats, desktop softphones and mobile apps, call conferencing, Interactive Voice Response (IVR), Automatic Call Distribution (ACD), and customer satisfaction surveys. When these services are poorly integrated, support agents must navigate multiple systems and average handling time increases. Linking different software systems and technologies helps create a seamless and efficient workflow.

Better integration helps consolidate requests from multiple resources into a single system. This allows call center agents to see all of a customer’s interaction history at once and resolve issues without wasting time asking for previous information.

6. Use call center software

Software for call centers helps you master omnichannel customer service. This solution automates the receipt of requests and consolidates them into a single system.

But that’s not all it can do. The main advantage of call center software lies in relieving teams of manual tasks. For example, it can provide managers with comprehensive statistics, such as average call handling and waiting time, call duration, and agent occupancy. This allows them to do the rest of their work more efficiently, which increases the call center’s overall productivity.

Sum up

Most call centers are busy, but effective ones are busy with the right things. Measuring call center productivity gives you a starting point for improving agent performance, customer satisfaction, and overall call center efficiency.

Call Center Productivity FAQs