Contact center KPIs provide measurable insights into everything from customer satisfaction and first contact resolution to staffing efficiency and response times. By tracking the right metrics, contact center leaders can identify bottlenecks, improve workforce planning, coach agents more effectively, and make better data-driven decisions.

In this guide, we cover 16 essential contact center KPIs, including what each metric measures, how to calculate it, and how to use it to improve contact center performance.

What is a KPI?

A key performance indicator (KPI) is a metric or score that indicates progress towards a specific goal. Business leaders use KPIs to understand how effectively a company or business unit is achieving short-term or long-term goals.

Contact centers use KPIs to measure agent productivity, customer service, and operational efficiency, among other things. Common KPIs measured in contact centers include abandon rate, average handle time, and first-contact resolution.

Why Are Contact Center KPIs Important?

Monitoring essential contact center KPIs is crucial for maintaining efficiency, optimizing performance, and delivering an exceptional customer experience. These key metrics provide visibility into how well your agents, technology, and processes work together, allowing you to identify bottlenecks, track customer satisfaction, and make data-driven improvements.

By regularly analyzing KPIs such as first-contact resolution, average handle time, and service level, contact center leaders can pinpoint areas for coaching, streamline operations, and reduce costs—all while ensuring customers receive faster, more personalized support. In short, consistent KPI tracking turns data into actionable insights that drive long-term success.

16 Essential Contact Center KPIs at a Glance

Customer Experience KPIs

Customer experience KPIs help you understand how customers perceive their interactions with your organization. These metrics provide insight into whether customers are receiving fast, effective, and low-effort support—and whether they are satisfied with the experience. Tracking these KPIs alongside operational metrics can help ensure that efforts to improve efficiency do not come at the expense of customer satisfaction.

1. First Contact Resolution (FCR)

First contact resolution is an essential contact center KPI that measures how often customer issues are resolved within the first interaction with an agent. A high FCR indicates that agents are effectively addressing customer inquiries and reducing the need for follow-up calls. As you might imagine, there is a direct link between high FCR rates and customer satisfaction levels.

How to Calculate First Contact Resolution (FCR)

FCR = Contacts Resolved on the First Interaction ÷ Total Contacts × 100

Tips for Accurate Measurement

• Decide whether to include or exclude repeat contacts within a specific time frame (e.g., exclude repeat customers within 7 days or 30 days).
• Track FCR separately for each channel (phone, email, chat) for more insights.
• Use CRM or call center software to automate tracking and reduce manual errors.

2. Customer Satisfaction

Customer Satisfaction (CSAT) measures how satisfied customers are with a specific interaction, product, service, or experience. It is one of the most direct ways for contact centers to understand whether customers feel their needs were successfully addressed.

CSAT is typically measured through a post-interaction survey. Customers may be asked to rate their experience, the quality of support they received, or how satisfied they were with the resolution of their issue.

How to Calculate Customer Satisfaction (CSAT)

CSAT = Number of Satisfied Responses ÷ Total Number of Survey Responses × 100

Organizations typically define a satisfied response based on their survey scale. For example, on a 1–5 scale, scores of 4 and 5 may be considered satisfied responses.

Tips

• Measure CSAT shortly after an interaction to capture the customer's immediate experience.
• Track CSAT by channel, queue, interaction type, or agent team to identify trends.
• Analyze CSAT alongside First Contact Resolution (FCR) and Average Handle Time (AHT) to understand how efficiency affects customer satisfaction.
• Monitor response rates alongside CSAT results to understand how representative your survey data may be.

3. Net Promoter Score (NPS)

Net Promoter Score (NPS) measures customer loyalty and how likely customers are to recommend your organization, product, or service to a friend or colleague. Unlike CSAT, which focuses on a specific interaction, NPS provides a broader view of the customer's overall relationship with your organization.

NPS is typically measured by asking customers to rate how likely they are to recommend an organization on a scale from 0 to 10. Respondents are grouped into three categories:

• Promoters: Customers who give a score of 9 or 10
• Passives: Customers who give a score of 7 or 8
• Detractors: Customers who give a score of 0 to 6

How to Calculate Net Promoter Score (NPS)

NPS = Percentage of Promoters − Percentage of Detractors

The final NPS score can range from -100 to +100. Passives are included in the total number of responses but are not directly included in the calculation.

Tips

• Use NPS to measure long-term customer loyalty and overall brand perception.
• Track NPS over time to identify changes in customer sentiment.
• Segment NPS by customer group, product, service, or interaction history to identify trends.
• Use open-ended follow-up questions to understand why customers gave a particular score.

4. Customer Effort Score (CES)

Similar to customer satisfaction scores, customer effort scores can be measured through surveys sent out following an interaction. Customer effort scores are used to measure how much effort the customer had to put in to resolve their issue. You can add a question in your customer survey that asks how easy it was to contact your business or to rank the level of effort required out of 5 or 10.

How to Calculate Customer Effort Score (CES)

CES = Sum of all customer effort ratings ÷ Number of responses

Tips

• Use a consistent scale across surveys for accurate comparisons over time.
• Segment CES by channel, issue type, or agent team to find friction points.
• Combine CES with CSAT and NPS for a full picture of customer experience.

Operational Efficiency KPIs

Operational efficiency KPIs measure how effectively your contact center manages customer demand, resources, and interactions. These metrics can help identify bottlenecks, staffing challenges, and opportunities to improve response times. By monitoring operational performance, contact center leaders can make more informed decisions about staffing, routing, and processes.

5. Average Handle Time (AHT)

This KPI measures the average amount of time required to handle a customer interaction from the beginning of the interaction through any necessary after-call work. Depending on how your organization defines the metric, AHT typically includes talk time, hold time, and after-call work.

The key to tracking the average handle time is to find a benchmark that accounts for the appropriate workload and allows agents to provide a positive customer experience in a reasonable amount of time.

If the average is too high, it may indicate agents are struggling with customer requests. On the other hand, if the average is too low, it may indicate customers aren't getting the proper support they need.

Other tools, such as quality assurance, can be used in combination with the average handle time to ensure a positive experience. Proper tools and training can help agents respond to customers  in a timely and effective manner. in a timely and effective manner.

How to Calculate Average Handle Time (AHT)

AHT = (Total talk time + Total hold time + Total after-call work time) ÷ Number of calls handled

Tips‍

• Track AHT by agent, queue, or call type for deeper insights.
• Combine with First Contact Resolution (FCR) and Customer Satisfaction (CSAT) to evaluate both efficiency and quality.
• Use automated reporting tools to calculate AHT in real time.

6. Average Speed of Answer (ASA)

Average Speed of Answer (ASA) measures the average amount of time customers wait in a queue before reaching an agent. It is an important contact center KPI for understanding how quickly your team responds to incoming customer interactions.

A high ASA can indicate staffing shortages, inefficient call routing, unexpected increases in contact volume, or other operational challenges. Longer wait times can also increase the likelihood that customers will abandon the queue before reaching an agent.

However, ASA should not be evaluated on its own. A low average speed of answer does not necessarily mean that your contact center is delivering a better customer experience. Compare ASA with metrics such as Abandonment Rate, Customer Satisfaction (CSAT), and First Contact Resolution (FCR) to understand whether customers are being helped quickly and effectively.

How to Calculate Average Speed of Answer (ASA)

ASA = Total Wait Time for Answered Contacts ÷ Total Number of Answered Contacts

Tips

• Track ASA by queue, channel, time of day, and contact type to identify periods of high demand.
• Compare ASA with Abandonment Rate to understand how wait times may be affecting customer behavior.
• Analyze ASA alongside Service Level or Grade of Service to measure performance against your response-time targets.
• Use real-time contact center reporting to identify rising wait times and make staffing or routing adjustments before service levels decline.

7. Average Time in Queue (ATQ)

Everyone knows the feeling of waiting on hold for what feels like forever. Long wait times in queue can lead to frustrated customers, negative reviews, and an overall poor customer experience.

For this KPI, shorter average times are better. If your average time in queue is high, it usually indicates inefficiencies in the contact center or the need to hire additional agents.

Potential solutions may include additional resources for agents, training to handle calls more efficiently, or adding a callback service to effectively reach customers on their time.

How to Calculate Average Time in Queue

ATQ = Total wait time of all calls ÷ Number of calls

Tips

• Exclude calls that are abandoned before reaching an agent if you want a more accurate measure of answered calls.
• Track ATQ by time of day, queue, or agent group to identify peak-time bottlenecks.
• Use your contact center software or reporting tool for automated calculation.
• Unlike ASA, ATQ omits the ring time required to bridge the connection to the agents.
• Pick either ASA or ATQ to monitor.

8. Abandonment Rate

The abandonment rate or sometimes called abandon rate measures the percentage of customers who exit the system before they reach an agent. A high abandon rate can indicate the wait time to reach an agent is too long, creating an unpleasant customer experience.

High wait times may indicate that there are not enough agents available to meet demand, inefficient routing or scheduling, unexpected increases in contact volume, or interactions that are taking longer than expected. All in all, the abandon rate is valuable to monitor to ensure a positive customer experience and agent productivity.

How to Calculate Abandonment Rate

Abandonment rate (%) = Abandoned calls ÷ Total incoming calls × 100

Tips

• Some organizations calculate this statistic based only on calls abandoned after a certain wait time (e.g., after 30 seconds) because calls abandoned earlier are considered ‘short abandons’ (see below).
• Track abandonment rate by queue, time of day, or agent group to pinpoint issues.
• Use contact center reporting software to automate calculations and get real-time monitoring.

9. Short Abandon Rate

Another KPI that helps you understand call abandonment is the short abandon rate, which is the percentage of customers who exit the system within a short time frame (e.g., 10 seconds).

Typically, the short abandon rate captures customers who exit the system due to a misdial rather than an unnecessarily long queue time or poor customer service. Setting a proper short abandon rate will ensure your abandon rate isn't skewed by misdials, since it is subtracted from the overall KPI.

How to Calculate Short Abandon Rate

Short abandon rate (%) = Calls abandoned within threshold ÷ Total incoming calls × 100

Tips

• Set a clear threshold time for what counts as “short” (commonly 5–30 seconds).
• Exclude short abandons from your main abandon rate to get a more realistic view of true customer dissatisfaction.
• Use contact center reporting tools to automate this metric.

10. Average Time to Abandon (ATA)

Similar to the abandon rate, the average time to abandon measures the average amount of time each abandoned contact waited in the queue. A low average time to abandon can indicate customers are unwilling to wait, and you may need more agents to support the queue to improve the customer experience.

This KPI is critical to consider when setting targets for average queue time and short abandon rate. Understanding the average time to abandon can directly improve the customer experience and inform agent resourcing decisions.

How to Calculate Average Time to Abandon

ATA = Total wait time of abandoned calls ÷ Number of abandoned calls

Tips

• Track ATA alongside Abandon Rate and Short Abandon Rate for a more complete view of queue performance.
• Segment by queue or time of day to identify peak-time issues.
• Use your contact center software to automate calculations.

11. Grade of Service (GOS)

Monitoring the grade of service (GOS) in real time can help ensure a high level of agent productivity. GOS measures the percentage of customers that have been handled within the target speed of answer.

The GOS is usually given as two numbers. For example, a GOS of 80/30 would indicate 80% of calls answered within 30 seconds. First you have to set the target speed of answer and then you can calculate the percentage of calls answered within that target. The GOS is one of the best indicators of agent productivity.

When this KPI is too low, it may indicate agents aren't moving from one customer to the next as quickly as they could. There are several possible solutions to a low GOS, including providing agents with additional resources and training.

How to Calculate Grade of Service

GOS (%) = Number of contacts answered within target time ÷ Total eligible contacts × 100

Tips

• Track GOS by queue or time of day to identify peak-period staffing issues.
• Combine GOS with Average Speed of Answer (ASA) and Abandon Rate for a full view of call responsiveness.
• Use contact center reporting tools to automate real-time monitoring.

Agent Performance and Workforce KPIs

Agent performance and workforce KPIs provide insight into how effectively your team is staffed, scheduled, and supported. These metrics help contact center leaders understand agent productivity, workload, attendance, and retention. Tracking these KPIs can help identify workforce challenges before they begin to affect service levels or the customer experience.

12. Occupancy Rate

The occupancy rate measures the percentage of total work time that agents spend on customer interactions or on wrap-up. This KPI is essential for monitoring agent productivity.

If this KPI is too low, it can indicate that agents are spending too much time not engaging in work-related tasks, or that there are too many agents on duty at once.

However, it’s important to not be too aggressive when setting the target occupancy rate. There needs to be a good balance between work and rest, as too high of an occupancy rate can lead to agent stress and burnout.

How to Calculate Occupancy Rate

Occupancy rate (%) = Time spent handling contacts and completing related work ÷ Total available time × 100

Tips

• Ideal occupancy rates typically range between 75–85%; too high of an occupancy rate can indicate agent burnout, and too low can indicate underutilization.
• Include after-call work (ACW) for a more accurate measure of productive time.
• Track by individual agent, team, or shift to optimize staffing and scheduling.

13. Average Wrap-Up Time (AWT)

This KPI measures the average time it takes agents to complete customer-related tasks after the conversation ends. Agents enter the wrap-up state after assisting a customer. This allows them to finish any necessary tasks to complete the customer request and prevents them from receiving another customer from the queue until they have finished any post-call work.

While it's beneficial to minimize wrap-up time to ensure agents are ready to help the next customer, you also want to ensure they are completing the work accurately and thoroughly. To minimize wrap-up time, you can help agents by providing structured templates and tools, or using AI such as agent assist, call summarization, and contact insights, to make customer support easier for your agents.

How to Calculate Average Wrap-Up Time

Average wrap-up time = Total after-call work time ÷ Number of calls handled

Tips

• Track AWT separately for different call types to identify where extra after-call time occurs.
• Combine with Average Handle Time (AHT) to see total agent workload per interaction.
• Use your contact center software to automatically calculate and report AWT.

14. Schedule Adherence

Schedule adherence is essential to ensuring your contact center operates efficiently and uses resources effectively. This KPI is measured as the percentage of the working day during which an agent is available for interactions.

It's crucial to understand that agents can't be 100% productive all the time without suffering consequences such as burnout and low morale. However, a low schedule adherence rate may indicate that agents struggle with time management or are engaging in unrelated work tasks.

This KPI can be improved through adequate training, establishing team leads, or setting a reward system. Setting a proper schedule adherence benchmark can increase productivity, enhance operating efficiency, and improve internal planning.

How to Calculate Schedule Adherence

Schedule adherence (%) = Time worked according to schedule ÷ Total schedule time × 100

Tips

• Track adherence per agent, team, and shift to identify patterns and optimize staffing.
• Include login/logout times, breaks, and after-call work in your calculation for accuracy.
• Low adherence often leads to longer queues, higher abandon rates, and lower customer satisfaction, making monitoring critical.

15. Agent Absenteeism

Agent absenteeism is the total number of days per year that agents are absent as a percentage of the total number of working days. Agents can be absent for many reasons, including sick days, burnout, mental health, and high levels of stress.

A high agent absenteeism rate may indicate high levels of agent stress. While there can be many reasons for this, one reason could be unreasonable targets or a need to hire additional agents to manage the workload.

Agent absenteeism can affect the workload distribution and decrease agent morale. Monitoring this KPI can help with budget planning and optimizing workforce management practices.

How to Calculate Agent Absenteeism

Agent absenteeism (%) = Total hours absent ÷ Total scheduled hours × 100

Tips

• Track absenteeism by team, shift, or agent to identify trends or problem areas.
• Include both planned (vacation, personal leave) and unplanned (sick leave, no-shows) absences for a complete picture.
• High absenteeism can lead to longer wait times, higher abandon rates, and lower service levels, so monitoring it is critical for operational efficiency.

16. Agent Turnover Rate

No business wants to train employees only to have them leave soon after. To prevent this, it’s important to monitor your agent turnover rate. The agent turnover rate, also known as agent attrition rate, measures the percentage of agents that leave your contact center within a specific time period.

High turnover rates can indicate a problem with employee retention and may lead to skyrocketing training and hiring costs. Surprisingly, the industry standard for agent turnover in call centers is 30 to 40%.

How to Calculate Agent Turnover Rate

Agent Turnover rate (%) = Number of agents who left during period ÷ Average number of agents during period × 100

Tips

• Track turnover monthly, quarterly, or annually to monitor trends.
• Segment by team, shift, or tenure to identify patterns.
• Combine with employee satisfaction and absenteeism metrics to understand root causes and reduce attrition.

How Contact Center KPIs Work Together

No single KPI provides a complete picture of contact center performance. A low Average Handle Time, for example, may appear positive, but it could also indicate that agents are rushing interactions and failing to resolve customer issues. Analyzing AHT alongside First Contact Resolution and Customer Satisfaction provides a more complete view of performance.

Similarly, a high Occupancy Rate may indicate that agents are being used efficiently, but consistently high occupancy can also contribute to stress and burnout. Comparing Occupancy with Abandonment Rate, Service Level, and Agent Turnover can help leaders understand whether staffing levels are sustainable.

The most effective contact centers look at groups of related KPIs rather than focusing on a single number. By analyzing these metrics together, leaders can identify the underlying causes of performance issues and make more informed decisions about staffing, training, technology, and processes.

Why Tracking Contact Center KPIs Is Key to Success

The right contact center KPIs give leaders the visibility they need to improve efficiency, support agents, and deliver better customer experiences. However, tracking metrics is only the first step. The real value comes from bringing data together, identifying trends, and turning insights into action.

With the right contact center reporting and analytics tools, organizations can monitor performance in real time, identify emerging issues, and make more informed decisions about staffing, training, and customer experience.

Want to learn more about turning contact center data into actionable insights? Explore our guide to contact center data silos.