Every single interaction shapes how customers feel about your brand. A helpful conversation builds loyalty. A frustrating one sends them to a competitor. That’s why enhancing customer service and satisfaction—and the customer service QA programs that support it—rank among the top strategic priorities for administrative and customer support leaders in 2026, according to Robert Half's latest Demand for Skilled Talent report.
However, teams face real constraints in meeting their customers’ expectations. Only 12% of administrative and customer support leaders say they have both the headcount and skills needed in their team to accomplish their priority projects this year.
Challenges will always persist, but enhancing your customer service and satisfaction can hinge on your ability to build strong customer service QA capabilities, acquire the skills your team needs and find practical ways to overcome common obstacles.
Customer service QA: Roles, skills and solutions for 2026
QA in customer service: Building your team
Here's what the three core roles in an effective customer service QA team do day-to-day:
QA analysts—These professionals listen to customer service calls, read chat transcripts and review email exchanges to identify what works well and what needs improvement. Using scorecards, they track various metrics, including an agent's technical knowledge, problem-solving abilities, adherence to company deadlines and tone of voice. This data helps build a clear picture of agent performance and supports targeted improvements.
Customer service trainers—Customer service trainers turn QA findings into action. When analysts notice agents struggling with a new product feature, trainers create hands-on workshops where agents practice explaining it clearly. They also run refresher courses and provide one-on-one coaching for specific challenges, whether that's handling upset customers or breaking down technical jargon into plain language.
Data analysts—What happens to the valuable data generated by customer service QA? This is where data analysts come in. They dig into the numbers to uncover patterns that can help improve service. For instance, they might identify that customer satisfaction scores tend to drop during specific hours or that certain issues take longer to resolve. By analyzing these patterns, data analysts help teams make informed, data-driven decisions about staffing, training priorities and process improvements.
Skills that matter most for customer service QA
Quality assurance professionals need a specific blend of abilities to succeed:
Sharp attention to detail helps them catch the relevant moments—such as a customer's tone shifting from frustrated to relieved, or an agent missing a verification step or turning a routine call into a great customer experience.
Strong analytical thinking lets them spot trends across hundreds of interactions: Why do billing queries always need follow-up calls? Why do technical support times spike with certain products?
Clear communication separates good QA professionals from great ones. Identifying problems is one thing—explaining how to fix them is another. The best QA team members give feedback that agents actually need to hear and present data in ways that help leaders take action.
Deep product knowledge matters too. QA professionals can't judge how well agents explain products without understanding those products themselves. This knowledge helps them catch missed opportunities and incorrect information before those mistakes become patterns.
Empathy and emotional intelligence round out the picture. Understanding how customers feel—and how agents respond to difficult emotions—helps QA teams coach more effectively. They can identify moments when an agent handled frustration well, not just moments when something went wrong.
Ready to build a top-performing team? Learn how to hire customer service specialists who can deliver the quality your customers expect.
Common challenges in customer service QA
Even well-planned quality assurance programs face challenges. For example, inconsistent service standards across different channels—such as phone, email and chat—can create confusion for customers. When one agent immediately offers a refund, for example, while another insists on troubleshooting at length, customers are left uncertain about what to expect, leading to frustration and a negative experience.
And measuring how well agents perform can bring its own set of obstacles. Some companies still rely on after-the-fact reviews that sample only a fraction of customer interactions. This reactive approach means managers often spot problems days or weeks after they occur, missing chances to step in and help when it matters most.
Workforce burnout is also a growing concern. Dealing with difficult customer interactions day after day takes a toll. And if skilled agents leave, rebuilding that expertise takes time you probably don’t have. Supporting employee well-being and reducing burnout is now a top priority for administrative and customer support leaders.
From challenges to solutions: 5 ways to improve QA in customer service
Every challenge has practical solutions. Here's how you can address them:
1. Use technology to catch issues early
Customer service QA software can monitor conversations in real time, flagging potential issues and scoring interactions. Some AI tools analyze every single customer contact, something no human team could manage. This helps teams address problems when they can still make a difference, not days later when the customer has already moved on.
2. Give feedback that actually helps
Vague advice like "try to sound more professional" leaves agents guessing. Specific guidance works better. Focus on moments that showcase both skill and opportunities for improvement. For example, you might tell an agent: "When that customer expressed frustration about their bill, you acknowledged their concern right away and explained each charge clearly. Next time, you could also recap what you're doing to prevent future billing issues—this helps customers feel confident about the long-term fix."
3. Make quality monitoring a growth opportunity
Transform customer service QA from something agents dread into something that helps them improve. Set up regular check-ins where agents review their own interactions first, identifying wins and areas for growth. This puts them in control of their own development and makes feedback conversations more productive.
4. Create consistency across channels
Develop clear guidelines for handling common situations across phone, email and chat. Then use QA tools to monitor whether teams are following them. Regular calibration sessions help everyone agree on what good service looks like and prevents standards from drifting over time.
5. Connect training directly to QA findings
When customer service QA reveals skills gaps, address them promptly through focused training. If data shows that agents struggle with technical explanations, create workshops where they practice simplifying complex features. If empathy scores drop, role-play challenging emotional scenarios using real examples from past interactions. When active listening needs work, use recorded calls to discuss where conversations could have taken a better turn. Every training session should connect to situations agents actually face.
Customer service QA is the foundation of customer satisfaction. With the right mix of people, tools and training, your QA program can help teams deliver timely, personalized and high-quality service—the kind customers remember for the right reasons.
