Master The Art Of Call Quality Assurance In Contact Centers

Customers have everything at their fingertips today when it comes to interacting with your business. If they have a good experience, they post it on social media and rave about it to their friends. If it's a bad one, you’ll get a poor Google review and a scathing customer service call instantly. With so many avenues to interact with your business, short attention spans, and a minimal tolerance for errors, the chaos of providing the best customer experience ensues. 

The only thing that can help you tread ahead in the competitive business environment is integrating Quality Assurance in contact centers. Consumers are becoming more unforgiving by the minute, as illustrated by a Forbes study, which suggests that 96% of customers tend to switch if they experience bad customer service. This means that unregulated telesales calls seriously impact your brand image and conversions, often even leading to misselling, intrusive, and spam calls, resulting in a dip in your CX.

This raises the question: How should you approach quality assurance within your contact center? After all, you have many essential tasks that require your attention, and adding QA to the mix can be a little intimidating. 

Quality Assurance in contact centers requires a dedicated team of quality analysts who know the process inside and out. However, we understand that this can be a time and resource-intensive task that many small and medium-sized companies might be unable to do themselves. Here is where a third-party perspective could prove valuable. Outsourcing your QA needs to an industry leader like SquadStack, who has nailed the process from start to finish, could just be the solution you are looking for. Keep reading to discover what QA is in contact centers, why it is important, and how we have designed the perfect solution for your quality assurance needs.

Decoding Quality Assurance in Contact Centers

Simply defined, quality assurance in contact centers is a process that ensures that you are meeting all the standards that you have set out for good customer service as a business. Now, the metrics that define these standards can definitely be subjective depending upon the industry that you might be in, but Quality in contact centers isn’t. The bottom line is that whatever KPIs you want to monitor must be consistently met, and customer interactions remain consistent.

QA becomes increasingly crucial and more complicated to execute as your business grows. You will have to dedicate a significant amount of time and effort to streamlining the process. Hence, we always suggest optimizing the process from the ground up with the help of a trusted QA partner from the very start.

What Is The Difference Between Quality Assurance, Quality Control & Quality Management

QA, QC, and QM sound similar but aren’t. While they address the same issue, quality, at a contact center, how they impact and handle quality at the end is very different. To understand quality assurance, you must also address QC and the more complex and overarching quality management to reap the benefits of a QA framework.

Importance Of Having a QA Framework 

If you want to set yourself apart from the average contact center, establishing a system to evaluate and improve customer-agent interactions is very important. A well-thought-out QA framework ensures precisely that. From reducing customer churn to streamlining operations, an efficient QA framework will simplify your customer service pain points in the long run. 

Consistent Customer Service 

One of the greatest challenges you will face while setting up your customer service unit is ensuring consistent quality of service across all customer-agent interactions. You want your customers to receive the same level of service every time they contact you, regardless of the location, agent, or type of query. This requires a set of rules and standards that establish a baseline for good customer service for all future agents to follow.

You can also take the help of a few quantitative metrics that can give a more clear and concise picture of where your team might need to improve. A few KPIs to get you started are:

• Net Promoter Score (NPS): Indicates customer willingness to recommend the business.
• Customer Satisfaction (CSAT): Measures overall satisfaction with the customer experience.
• First Response Time (FRT): Tracks how quickly support teams address queries.
• Average Handling Time (AHT): The time agents take to handle customer calls on average.

Monitoring Agent Performance

Companies often perceive QA as a process solely to be handled by management, but to the contrary, involving agents in the QA loop can not only help better monitor their performance but also increase their accountability. Regular feedback sessions with your agents based on previously set metrics and data points can significantly help monitor and improve their performance and also help them have a clear view of it.

Empowering agents with clear insights into their performance enhances transparency and motivates self-improvement. A dedicated QA framework where telesales agents are an active part of the system keeps them accountable and reduces efforts on the management’s part.

Improving Agent Coaching Practices

While giving all your agents the same training might seem efficient, it can be a waste of time and resources if it does not address agent-specific pain points. Using QA data here will let you decide who needs more/less coaching, depending on their specific areas of improvement. This will also give direction to your agent coaches, who will now have a clear game plan for addressing agent-customer interaction metrics.

Demystifying the Data 

Once you have gathered the data according to your QA framework, that is just the start of optimizing the process. The next and perhaps most important step is to make sense of all this data. Use this information to identify the roadblocks at the agent, management, and company levels to start understanding where QA best practices need to be enforced more stringently. This is where you have to make concrete decisions to see if there’s a need to alter the already established QA standards, almost using the QA framework as a self-check device.

How to Create a QA Framework

Now that we know the what and why, let’s move on to the how of quality assurance in contact centers and we’re excited to guide you on your journey! While quality assurance in contact centers is a comprehensive topic that requires years of experience to grasp fully, we’re here to provide you with a solid starting point and the essential tools to help you understand it better. Here’s the most straightforward 3-tier approach when deciding on a QA framework for your contact center:

Operational Framework

Treat this as Level 1 of quality assurance frameworks in contact centers, a perfect place to be if you’re just starting out. You will evaluate day-to-day agent performance and identify issues that need to be addressed on a more granular level. This framework requires minimal effort, addresses consistency in customer service, and is great for a surface-level sweep to provide immediate results but can be very short-sighted. This means that the deeper issues within the system may go unnoticed if you don’t upgrade to the next level of the QA framework.

Tactical Framework

This next level uses monthly data points to monitor the various QA variables more closely. The focus has shifted to improving, growing, and scaling your contact center’s QA and achieving medium-term goals. Instead of monitoring individuals, you’ll be monitoring performance at a team level, and you will soon be able to see patterns emerge with this approach. It definitely requires more effort than an operational framework but is also less rigid in its approach. The underlying issues for subpar customer service will become more apparent here, and you can make the necessary changes to streamline processes and change training practices. 

Strategic Framework

Treat this as the gold standard of quality assurance in contact centers. This is the most targeted framework that uses a top-down approach to realize and align QA directly with your company’s long-term vision. You will witness how customer service impacts your company's sales and revenue and how customers perceive your brand. 

With this framework in place, you can see the bigger picture, analyze and interpret data more effectively, and implement company-wide QA strategies. This framework is also perfect for improving your NPS(Net Promoter Score) by seeing where QA and customer loyalty intersect.

Types of QA in Contact Centers

There are primarily two types of QA in contact centers: automated and manual. While both play a significant role in maintaining service quality, identifying areas for improvement, and ensuring customer satisfaction, there’s a great deal of difference in how both are to be implemented and the resources and efforts each requires. Let’s discover which one's the right fit for your contact center:

Manual Quality Assurance

Manual QA makes use of human agents to review and assess interactions between contact center agents and customers. Here, you will rely on the expertise of quality analysts and specialists to review the quality of customer service your company promises. A few key factors here are:

1. Human Insight and Nuance: This is an effective method for evaluating complex or sensitive interactions where human judgment is essential. Aspects like tone, empathy, and other subtle cues that automated processes can often miss are taken care of by human QA analysts. For a more nuanced QA, human insight is the way to go.
2. Customized Feedback: Under manual QA, customizing coaching and feedback becomes relatively easy as your agents can be addressed individually, and their performance can be evaluated at a more microscopic level.
3. Sampling and Benchmarking: Manual QA is a great place to start if you want to set a benchmark for your QA metrics. As initial sampling and benchmarking require more attention to detail, it’s better to trust a QA specialist with this task rather than AI.
4. Challenges: It can be extremely resource-intensive to implement manual QA as your company scales because the number of customer-agent interactions will drastically go up. There is also potential for human bias, which can defeat the purpose of objectivity in QA.

Automated Quality Assurance

Automated QA leverages technology to evaluate customer interactions systematically and at scale. Here, you can make use of various tools, software, and AI to analyze calls, chats, and emails for predefined metrics and KPIs. Here’s a closer look at what automated QA has to offer:

1. Scalability and Efficiency: A big chunk of interactions can be analyzed quickly and consistently, making automated QA an ideal choice for large contact centers.
2. Consistent and objective evaluation: Since automated QA software applies the same criteria across calls, a sense of consistency and objectivity will be established throughout the evaluation process.
3. Real-time monitoring: Automated QA systems provide real-time monitoring and feedback, allowing for immediate action on critical issues. This capability is particularly useful for compliance monitoring and ensuring adherence to scripts and protocols.
4. Advanced analytics and insights: These systems can leverage natural language processing (NLP) and speech analytics to identify trends, sentiment, and key performance indicators (KPIs) and provide valuable insights into customer behavior, agent performance, and overall service quality.
5. Challenges of Automated QA: Automated systems may miss the context and nuance of interactions that human reviewers can catch. These systems' initial setup and ongoing maintenance can also be costly and complex if you are a small business just setting up your own contact center.

A balanced way to approach the question manual or automated QA is to combine the two in order to reap the benefits of both. A hybrid approach gives you a 3-tier advantage:

• Firstly, while the automated QA handles the high-volume, repetitive tasks, your QA analysts can focus on the more complex interactions. This ensures a comprehensive coverage of all your QA issues.
• It can be used as a cross-validation tool, where automated systems can flag interactions that require human intervention. Manual reviews can also validate and fine-tune the automated software, improving accuracy over time.
• Insights from automated QA can inform training and coaching provided through manual QA, creating a feedback loop for continuous improvement.

Also Read: What is Cold Calling?

Insights Into SquadStack’s Call QualityAI 

At SquadStack, we understand that businesses need more than just advice when it comes to beating the competition in the market. So, we have gone one step ahead and designed our very own AI-enabled call intelligence software to simplify call quality monitoring.

After years of helping leading BFSI, MedTech, EdTech, e-commerce, and logistics companies effectively analyze their call data and extract actionable insights from it, we know the value of the right tools when it comes to the QA process at contact centers. So here, we give you a front-seat view of our QualityAI and all its capabilities. Keep reading to learn more about our latest innovation and learn how you can take advantage of it.

Introduction to our AQC engine

Our quality assurance process is fully AI-powered. The Automated Quality Check (AQC) engine is a game changer for call quality intelligence, making the process faster and more efficient. Unlike traditional methods, which are often slow and expensive, SquadStack’s AQC eliminates the need for human intervention at the initial stage. This means you get quick, accurate assessments and can quickly scale up as needed.

AQC is not only efficient but also cost-effective, being 3-5 times cheaper than traditional methods. It's an innovative solution for businesses aiming to enhance their call quality without breaking the bank. With real-time audits, it identifies areas for improvement and can even detect fraud or anomalies.

The deterministic measurement process ensures 100% accuracy, answering various questions for different use cases. AQC’s human-in-the-loop framework guarantees high-quality results. This intelligent solution is ready to deploy almost instantly, saving time and effort on management and hiring.

The QA Process at SquadStack

A sampling generator selects a set of connected calls, ensuring all critical factors are considered, including business outcomes and at least two calls per telecaller. These chosen calls are processed through the Audit UI, where a machine learning system evaluates them against 23 parameters in a simple yes/no format. Each parameter is scored based on this binary assessment, and the results are stored in a database.

These 23 parameters are directly tied to the C5 attributes identified by team experts as essential for a high-quality call experience. These attributes are Connect, Convey, Convince, Close, and Compliance.

How SquadStack Is Delivering A Superior QA Experience With Our QualityAI

Is your current telecalling setup delivering the results you need? If the answer is a disappointing no, SquadStack QualityAI is here to help you optimize your call intelligence processes and drive better business outcomes.

With QualityAI, you can:

• Extract valuable insights: Our advanced speech-to-text technology ensures accurate transcriptions of your call recordings, enabling you to extract valuable insights with ease.
• Enhance Call Quality Analysis with Advanced Parameters: Dive deep into your call data with comprehensive quality assessment parameters such as, allowing you to identify trends, patterns, and areas for improvement.
• Audit Your Current Setup: Evaluate the effectiveness of your telecalling systems and identify opportunities for optimization.

Take the first step towards unlocking the full potential of AI-driven call intelligence. Don’t compromise on quality when it comes to telecalling; audit your calls using SquadStack’s QualityAI here for free.