2nd October 2023

Quoting Peter Drucker, “You can’t improve what you don’t measure”. If you’re a Customer Service Manager looking to boost your contact centre’s performance, paying attention to key performance indicators (KPIs) and understanding contact centre metrics is pretty important.
These metrics are like trustworthy guides that change as time goes on. They’re here to help you find answers to big questions like:
In this blog post, we’re diving into the basics of contact centre metrics and KPIs that can help you figure out how to measure and make your contact centre perform even better.
Keeping tabs on important metrics is essential, but with a sea of options, how do you decide which ones to focus on? The contact centre metrics that hold the utmost importance can vary greatly.
For instance, metrics important to an IT support contact centre will differ significantly from those crucial for a retail customer complaints centre. Moreover, even within the same organization, the significance of a particular metric can shift depending on one’s role.
Various job roles call for distinct sets of metrics—customer service leaders might prioritize one, while frontline managers opt for another. Executives seek metrics that provide a holistic view, reinforcing the value of stellar customer service.
Operational managers lean towards intricate metrics to excel in customer support and adeptly manage teams. Sadly, there’s no universal metric list or decision tree to follow.
However, there are some universally beneficial metrics that certainly deserve attention. They’re the go-to tools for answering your most crucial business queries. Let’s explore key contact centre metrics to track and analyze.
This metric shows you the percentage of callers who hung up before reaching an agent.
Average Call Abandonment Rate = (Abandoned calls/total incoming calls) *100
This metric indicates the number of incoming calls that receive a busy signal due to insufficient contact centre resources.
Percentage of Calls Blocked = (Blocked calls/ Total incoming calls)*100
This metric evaluates the average duration callers spend waiting in the queue before being connected to an agent.
Average Time in Queue = Total time each caller spends in queue/ The total number of callers
This metric determines the percentage of calls answered within a specified time frame.
Service Level = (Calls answered within the threshold/ Total incoming calls)*100
This metric measures the average time it takes for calls to be answered by an agent.
Average Speed of Answer = Total time each call takes to be answered/ The total number of calls answered
This metric gauges the average time an agent spends on a call, including talk time and after-call work.
Average Handle Time = Total talk time and after-call work time/ The number of calls
This metric evaluates the average time agents spend on doing the work associated with a call after the call ends.
Average After-Call Work Time = Total after-call work time for all calls/ The number of calls
This metric measures the percentage of calls that are successfully resolved in the very first interaction between your agent and the customer, ensuring high customer satisfaction levels.
First Call Resolutions = (The number of resolved calls on the first contact/ Total calls) *100
This metric assesses the percentage of time agents spend on productive tasks versus idle time.
Occupancy Rates = (Productive time/ total logged-in time)*100
While every contact centre has its unique approach to measuring performance, there are industry-wide standards for metrics and KPIs that prevail.
Typically, these metrics cluster around specific areas of interest, unveiling pivotal insights into the customer experience while balancing both quality and quantity.
In the following sections, we’ll delve into metrics spanning these five crucial domains.
These metrics focus on how quickly calls are answered and attended to.
Efficiency metrics gauge the overall productivity of the contact centre.
Quality metrics delve into the effectiveness of customer interactions.
These metrics focus on individual agent performance.
Technology metrics assess the effectiveness of contact centre tools.
Ensuring success in your contact centre goes beyond just monitoring the appropriate metrics; it’s equally crucial to monitor them correctly. In this section, we will explore contact centre metrics best practices.
Even with a wealth of data, it could all go to waste if you’re unsure about your motive. Before delving into data measurement, take a moment to clarify your goals.
What do you aim to achieve? What’s the endgame? Are you striving to minimize customer wait times?
This clarity guides your metrics selection, ensuring you focus on the right contact centre KPIs for your desired outcome.
Avoid the pitfalls of manual tracking, which can lead to errors and unnecessary expenses over time. Instead, invest in dependable contact centre tracking software.
This software streamlines data collection, analysis, and management, all while offering real-time monitoring of critical metrics. It simplifies performance reporting and sheds light on agent and team achievements.
A well-rounded approach to understanding contact centre metrics involves considering quantitative and qualitative measures.
While quantitative metrics like average handling time, first call resolution, and abandonment rate offer numerical insights, qualitative metrics such as customer satisfaction scores, sentiment analysis, and customer feedback provide a more holistic understanding of customer interactions.
Balancing both metrics helps make informed decisions and address various aspects of contact centre performance.
Regular training and coaching sessions are crucial for agent development and performance improvement. Providing ongoing training on communication skills, product knowledge, and problem-solving techniques equips agents to handle diverse customer inquiries more effectively.
Based on performance metrics, coaching sessions enable supervisors to provide constructive feedback and personalized guidance to individual agents, fostering skill enhancement and boosting morale.
Avoid common errors: Don’t overly prioritize efficiency metrics or overlook contextual interpretation. A higher average handling time means thorough issue resolution rather than inefficiency.
Ignoring employee feedback about customer interactions is a missed opportunity. Using metrics in isolation yields incomplete insights.
Metrics should evolve with business needs and customer preferences. Regularly reevaluate and update tracked metrics for alignment with changing demands.