7th July 2025
Celia Cerdeira at Talkdesk shares how modern contact centre quality assurance can go beyond scorecards to drive real improvements – all through a data-driven, AI-enhanced approach.
Contact centre quality assurance is the backbone of consistent, high-performing customer service, ensuring every interaction meets the mark.
Modern customers demand nothing short of exceptional service, and the contact centre is a crucial touchpoint in delivering memorable experiences.
Yet, it can also be a ground for frustration, where even the slightest mishap can lead to negative reviews and lost revenue.
A dedicated quality assurance framework that monitors, evaluates, and improves customer service can transform a contact centre.
When executed effectively, contact centre quality assurance can take customer satisfaction to new heights, supercharge agent performance, and elevate service delivery.
Find out how contact centre quality assurance tools set the stage for a transformational journey toward customer-centric service.
Contact centre quality assurance evaluates interactions to ensure they meet defined quality standards. For example, listening to calls, reading emails, and reviewing live chat transcripts to assess agent performance.
Quality assurance in the contact centre helps maintain high service quality, ensures all interactions are handled professionally and effectively, and provides valuable feedback for agents, helping them improve their skills and performance.
It also allows managers to identify and address any issues or trends impacting customer satisfaction and loyalty.
Implementing contact centre quality assurance lays the groundwork for continuous improvement, stronger customer relationships, and a more empowered workforce.
Here are just a few ways quality assurance can make a measurable impact:
With the rise of AI agents and machine learning technologies, many organizations leverage AI-powered contact centre quality management software to streamline their quality assurance processes and gain deeper insights into their operations.
AI-powered quality assurance tools can automatically evaluate interactions, pinpointing improvement areas. This provides precise, actionable feedback to help agents refine their service delivery skills and improve overall customer experience.
These tools can also identify and understand patterns in interactions, predicting trends that could impact future performance.
This predictive analysis allows managers to take a proactive stance, making informed decisions to boost service quality before issues escalate.
When evaluating contact centre agents, it’s essential to define the appropriate KPIs and metrics that align with business goals.
With AI-powered contact centre software, you can easily track these metrics and clearly understand agent performance.
Customizing evaluation forms allows managers to focus on the specific skills and behaviours that are most relevant to the business.
For example, in a tech support contact centre, technical knowledge and problem-solving ability are crucial, while in a sales-oriented environment, persuasion and closing skills might be more important.
Customization also allows for a more nuanced understanding of agent performance. Instead of relying solely on broad metrics like customer satisfaction score (CSAT) or average handle time (AHT), customized evaluation forms can assess specific parts of interactions.
This could include the agent’s empathy with customers, adherence to scripts, or effectiveness in upselling or cross-selling products.
Evaluate not just what agents say, but how they say it. This includes their tone of voice, capacity to listen and understand customer needs, and ability to communicate clearly and effectively.
Problem-solving is another critical agent skill. Agents should be able to diagnose customer issues and provide effective solutions quickly.
They should have a deep understanding of the company’s products or services to provide accurate information and advice to customers.
Regular interaction monitoring and scoring help identify areas for improvement and ensure consistent service quality.
Compliance with regulatory standards and ethical norms is another non-negotiable. Agents must comply with all relevant data privacy laws and regulations and company policies regarding customer information. This includes obtaining necessary permissions before recording calls and maintaining confidentiality.
Ethical standards also play a vital role in agent evaluation. This could include their honesty and integrity in dealing with customers, respect for cultural and individual differences, and commitment to providing fair and equitable service.
Regular training and reinforcement of these standards can ensure they are consistently upheld across the contact centre.
When managing a contact centre, it’s crucial to keep an eye on key metrics that reflect the efficiency and effectiveness of operations.
First contact resolution (FCR) measures the percentage of interactions resolved during the first contact. A high FCR rate is often an indicator of effective problem-solving and efficient service delivery. It suggests that agents have the knowledge and resources to handle customer issues promptly.
Customer satisfaction score (CSAT) measures how satisfied customers are with a service. Regular CSAT surveys are a great way to assess this, but digging deeper into the feedback received is essential.
Understanding why customers are satisfied or dissatisfied provides actionable insights for improving service delivery.
Average handle time (AHT) measures the average time spent handling an interaction. This metric helps assess agent efficiency and workload management. Keep in mind a lower AHT isn’t always better.
If agents rush through calls to keep their AHT low, this could negatively impact service quality and customer satisfaction. Instead of focusing solely on reducing AHT, consider strategies to make each interaction more efficient.
Customer effort score (CES) measures how easy it is for customers to get their issues resolved. Unlike satisfaction surveys that capture how customers feel about an experience, CES measures how much work a customer had to put in to achieve their goal.
High-effort experiences – like repeating information, getting transferred multiple times, or navigating confusing self-service options – can quickly erode trust and lead to churn.
Service level is a foundational metric that reflects how well a contact centre meets customer demand in real time.
It typically measures the percentage of calls answered within a specific time threshold, like answering 80% of calls within 20 seconds, and serves as a direct indicator of responsiveness and staffing efficiency.
When service levels drop, customers are left waiting, frustration rises, and the likelihood of abandoned calls increases.
To improve agent productivity, contact centre managers should consider the following strategies:
Utilizing the right tools streamlines processes and improves efficiency.
AI-powered contact centre quality management software can automate routine tasks such as call recording and transcription, provide real-time feedback, and generate detailed reports and analytics. Ensure the team receives adequate training to use these tools effectively.
Creating a culture that encourages learning and continuous improvement can significantly boost productivity.
This allows agents to assess their performance and identify areas for improvement continually. Additionally, it fosters a sense of ownership and responsibility, as agents are actively involved in their growth and development.
Continuous feedback shouldn’t be one-sided. Encourage agents to share their thoughts and ideas, too. Their hands-on experience with customers makes them a valuable source of insights that can help improve processes and strategies.
Moving beyond monitoring to nurturing talent is crucial. An agent-centric approach to coaching focuses on individual growth and development, leading to improved performance and job satisfaction.
Start by understanding each agent’s specific skills, knowledge, and competencies. Then, design individualized coaching programs that target their specific areas of improvement.
The objective is not just to improve performance, but also to foster professional growth and personal development.
To effectively monitor agent performance, managers should consider the following best practices:
Setting KPIs helps track performance against set targets. These KPIs should align with business goals and customer expectations, providing a measurable way to track progress and success.
Setting KPIs can ensure the team is focused on achieving key objectives and delivering high-quality service.
Performance analytics tools offer a wealth of information about individual and team performance. They can help identify trends, track progress against goals, and inform strategic decisions so managers can comprehensively understand their team’s performance and identify opportunities for improvement.
Customer journeys rarely stick to one channel – someone might start in chat, move to email, and escalate to a call. Evaluating agent performance in silos misses the full picture.
Omnichannel analysis reveals which issues are best handled on which channels, highlights agent strengths across formats, and enables intelligent routing for faster, more effective resolutions.
A scoring system provides a quantitative measure of agent performance. Assigning scores to interaction with customers, such as communication skills, problem resolution, and adherence to scripts, allows managers to identify top performers and those needing additional training or support.
Call monitoring allows for direct observation. Listening in on live calls or reviewing recorded ones allows managers to identify strengths and weaknesses and provide targeted feedback and coaching. It also helps ensure agents are following company policies and customer service standards.
Mapping the customer journey helps contact centre agents visualize every touchpoint. It reveals pain points, gaps, and opportunities to improve the experience.
With a clear map, agents can track key metrics like first call resolution (FCR) and customer effort score (CES) to optimize service at each stage. The result is fewer frustrations and more agents who understand their impact across the entire journey.
Quarterly performance reviews aren’t enough. Real growth happens through regular, timely feedback. While formal reviews focus on long-term goals, ongoing coaching helps agents improve specific skills in the moment, like de-escalation or tone.
The most effective feedback is clear, actionable, and balanced, turning quality monitoring into a tool for development rather than criticism.
Clear compliance protocols, including call disclosures, secure data handling, and authentication, are essential for protecting the organization and maintaining customer trust.
Quality assurance programs should include regular audits to ensure agents follow required procedures. With solutions, contact centres can meet regulatory standards without disrupting the customer experience.
Customer experience should be the foundation of any quality assurance program. Beyond metrics and scripts, QA must assess whether agents create positive interactions and resolve issues effectively.
The most impactful programs align evaluation criteria with what customers truly value, such as speed or empathy. Prioritizing the customer experience improves satisfaction and loyalty while elevating other performance metrics.
Reviewed by: Megan Jones