Discover the most important call center quality assurance metrics that impact customer experience, agent performance, business success, and operational efficiency.

Sep 10, 2025
10 min read
Like most call centers with inefficient manual processes, you might be struggling with limited visibility into agent performance, incomplete data, and compliance risks resulting from inconsistent monitoring.
Assessing the right call center quality assurance metrics can solve these and many other problems, but it can be tricky.
In today's guide, we'll explore the most essential metrics you need to monitor to ensure better agent performance, operational efficiency, customer experience, and business success.
Pro Tip: You can use Hear, our call center conversation intelligence software, to analyze 100% of calls for the crucial data you need to measure different metrics.
Hear also helps you improve key metrics like first-call resolution and customer satisfaction score through coaching recommendations and monitoring resolution quality across calls.
Discover why top call centers use Hear to streamline QA — get a detailed demo today.
Call center quality assurance metrics are key data points CX leaders use to measure, evaluate, and improve the effectiveness and efficiency of call center customer service and agent performance.
These metrics help assess how agents perform, indicating where you can improve the overall customer service and experience.
Quality assurance (QA) metrics or key performance indicators (KPIs) come in handy for CX leads, call center directors, and QA leads struggling with poor agent performance, manual QA processes, and poor compliance.
The metrics are important in:
We can break down the most important call center quality assurance metrics into the main categories below.
You can track the following agent-related metrics.
AHT = (Total Talk Time + Total Hold Time + Total After-Call Work Time) ÷ Total Number of Calls
ASA = Total Wait Time of All Answered Calls ÷ Total Number of Calls Answered
FCR = (Total Calls Resolved on First Interaction ÷ Total Calls) x 100
Agent Occupancy Rate = (Total Call Handling Time ÷ Total Logged-In Time) x 100
These include:
These include:
NPS = % of Promoters - % of Detractors
When it comes to measuring QA metrics correctly, you'll need a holistic approach to get an all-around view of agent performance, operational efficiency, and customer experience.
Consider the steps below.
Set clear goals regarding the specific call center performance aspects you want to improve, such as resolving more issues on the first interaction. Go for useful metrics that match the goals.
Create a detailed call center quality assurance scorecard or a checklist to monitor performance against the selected metrics.
Emphasize key elements such as call handling, soft skills, product knowledge, and adherence to standards or procedures.
You'll use the scorecard to uncover areas of strength and weakness and offer constructive feedback to your agents.
You can also create surveys and feedback forms to collect customer feedback on satisfaction and areas where you can improve service.
Listen to live calls or review the interactions after the call to evaluate how your agents perform based on your established criteria and the scorecard or checklist.
Review the customer data from the surveys and feedback forms to gauge the relevant metrics and identify patterns, trends, and areas of concern.
Keep monitoring the metrics you've selected to assess the overall performance of your call center on an ongoing basis.
Look for trends and patterns related to your metrics to identify potential issues and opportunities to improve quality assurance, agent performance, and customer service.
If you handle a high volume of calls, consider using call center quality assurance software to scale the process.
For example, you can use Hear, a conversation intelligence platform for call centers, to streamline how you measure metrics and monitor quality.
Hear uses AI to analyze 100% of calls, automate QA scoring, flag compliance risks, and offer actionable business insights to improve agent performance and overall customer service.
Hear also helps reduce call handling time, increase FCR, and improve customer satisfaction, which drives operational efficiency.
Ready to monitor and improve various call center QA metrics? Book a demo today.
Regardless of the size of your call center, you are likely to encounter the following challenges when measuring QA metrics.
To overcome these and many other challenges, below are some best practices you can turn into ongoing habits.
Here are answers to common questions leaders often have regarding call center QA metrics.
Different industries have different benchmarks for various call center QA metrics. For example, a CSAT score of 85% or higher is generally seen as advantageous.
Most call centers typically create their own benchmarks. For instance, you can set an FCR target of 75%, allow only 2% of compliance errors, or choose a minimum acceptable QA score of 80%.
To ensure QA metrics align with business goals, you must first identify and understand the goals. The next step will be to select or create relevant metrics that directly match those goals.
When identifying business goals, engage all the relevant stakeholders, including business analysts, top leaders, and agents.
You can use QA metrics in multilingual call centers if you apply the right adaptations. Standardize the metrics and adapt them to each language while considering cultural contexts, regional dialects, and communication styles.
You can also ensure your QA team is linguistically diverse, such that you have native speakers or staff members fluent in the languages you use to monitor different metrics.
QA metrics can predict customer churn in different ways. Low CSAT scores and Net Promoter Scores can stem from low customer satisfaction levels, acting as strong indicators of potential churn.
As an AI-powered tool, Hear can analyze various QA metrics and criteria like customer sentiment to predict and help you reduce churn risk.
Monitoring and analyzing relevant call center quality assurance metrics can significantly impact how your agents perform and ensure consistent service quality.
Since there are so many metrics to consider, you'll want to focus on the most important ones. In this guide, we've covered 13 critical QA KPIs, including average handling time, customer satisfaction scores, and compliance scores.
The right call center software can save the day by automating various aspects of the process. For example, you can use Hear to automate quality assurance scoring, an important overall metric.
Hear also analyzes all your calls at scale, ensuring you have enough data to measure your preferred metrics and uncover areas for improvement.
Request a demo today to see Hear in action and learn more about its QA capabilities.
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