Call center performance isn't just about the volume of calls handled. It's far more complex (and strategic) than that. 📊
In this comprehensive guide, we explain how to improve your call center's performance: the right indicators to track, the methods that work, the essential tools, and the mistakes to avoid.
Whether you manage a small contact center or a call center with several hundred agents, this guide will give you all the keys you need to optimize your performance. Let's go! 🚀
What is call center performance?
Call center performance can be measured on several dimensions:
Operational efficiency: how many calls handled, in how much time?
Service quality: are customers satisfied?
Agent productivity: how many tickets per agent/day?
Controlled costs: what is the cost per call handled?
Team well-being: turnover rate, commitment, agent satisfaction
A high-performance call center is one that manages to balance these 5 dimensions without sacrificing one for the other.
Call center key performance indicators (KPIs)
1. Volume and availability KPIs
Number of calls handled
Total incoming calls per day/week/month
Answered calls vs. abandoned calls
Pick-up rate
of calls that reach an agent
Target: >90
Drop-out rate
of customers who hang up before getting an agent
Objectif : <5%
2. Reactivity KPI
Average waiting time (AWT)
Time before an agent responds
Objectif : <2 minutes
Average Handle Time (AHT)
Total call time (conversation + post-call work)
Optimize without sacrificing quality
Service Level
% of calls answered within a target time (e.g. 80% within 20 seconds)
Industry standard: 80/20 (80% of calls within 20 seconds)
3. Quality KPIs
CSAT (Customer Satisfaction Score)
Immediate customer satisfaction after the call
Target: >80%.
FCR (First Call Resolution)
% of problems solved on first call
Target: >70%.
It's THE KPI most correlated with customer satisfaction
Call quality rate
Score based on listening to call samples
Criteria: adherence to script, empathy, resolution, compliance
Klark is a generative AI platform that helps customer service agents respond faster, more accurately, without changing their tools or habits. Deployable in minutes, Klark is already used by over 50 brands and 2,000 agents.
Reliable AI-powered customer support automation depends not only on the quality of the model. Above all, it depends on the safeguards in place to govern automated responses in production.
An agentic AI that is useful in production does not rely solely on its capabilities. It depends above all on the framework in which you activate it, limit it, measure it, and explain it to teams.
Traditional quality monitoring analyzes 2% of calls. With generative AI, increase coverage to 100%, detect issues in real time, and free up your quality managers. Complete guide.
Customer management is a strategic lever for building loyalty and developing your portfolio. Discover the pillars, tools, and best practices for optimizing it.