Contact Centre & KPIs: which metrics to monitor to measure efficiency

• Beyond the Cloud
• Trend

| October 5, 2026

To understand if a Contact Centre is truly efficient and generating value for the business, it is necessary to measure daily operations through the right KPIs (Key Performance Indicators).

 

In the world of Customer Service, focusing on the correct parameters allows you to identify bottlenecks, improve agent productivity and, above all, elevate the final customer satisfaction level.

 

Which KPIs to monitor in Customer Service

Among the most widely used and relevant indicators for assessing the health of a Contact Centre are:

 

• AHT (Average Handle Time): measures the average time required for an agent to complete an interaction, including conversation, hold time and post-call activities (Wrap-Up Time);

 

• FCR (First Contact Resolution): indicates the percentage of enquiries resolved successfully during the first contact with the customer, without the need for follow-ups or escalations;

 

• Service Level: evaluates the service’s capability to answer a specific percentage of calls or contacts within a predefined time threshold (for example, 80% of calls answered in 20 seconds);

 

• Abandonment Rate: measures how many users decide to hang up or terminate the session before speaking to an agent;

 

• CSAT (Customer Satisfaction Score) and NPS (Net Promoter Score): useful metrics for gathering direct customer feedback regarding the support experience received.

How to interpret data to improve processes

The goal of a Contact Centre is not to achieve the lowest possible numerical value for every single metric, but to analyze the root causes of inefficiencies, rather than simply correcting an individual indicator. For example, a very low Average Handle Time may seem like a great productivity indicator, but:

 

• If the rush to wrap up the call leads to a drop in First Contact Resolution (FCR), the outcome will be counterproductive: the customer will be forced to call back, doubling future traffic volumes and generating frustration. Apparent efficiency turns into a hidden operational cost for the company;

 

• A high AHT might not be the agent’s fault, but could result from the complexity of internal systems or difficulty retrieving required information from a fragmented knowledge base.

 

 

The same principle applies to other key indicators:

 

• An increase in wait times could stem from poor shift scheduling (lacking Workforce Management) or an under-optimized routing system;

 

• Over-stretched agent productivity – meaning fully saturating agent occupancy – reduces the breathing room needed to handle sudden volume spikes and degrades listening quality.

 

Intelligent KPI monitoring transforms raw data into a strategic tool for continuous improvement, where business performance and Customer Experience go hand in hand.