If you are a call center or quality assurance manager, then you likely use call center metrics to measure your agents' performance. Traditional call center analytics examine adherence and operational efficiency. Most call center metrics measure things like average call duration, the number of calls in queue and resolution time. While data like this has been important and still has its place, it is now more widely stated that qualitative insights are often as, if not more, important. Unfortunately, there has been less focus on how qualitative factors impact the customers call center experience.
This blog is part of a series on improving the performance and quality of call centers.
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Measuring the right call center quality assurance metrics to measure customer experience and team efficiency grants invaluable insights into how well your call center is performing. But knowing what to measure while ignoring the metrics that don’t grant actionable insight is a skill that any call center manager should possess.
QA metrics should also help you judge your center’s productivity over time. How many calls are resolved in the first call, how happy are customers after the call, how long is the average call?
It’s also important to remember that QA metrics can, and often do, change from one industry to the next. You wouldn’t expect a support call to a retailer to have the same process and flow as a call to a financial service institution like a bank. The needs, regulation, tone, and context are all vastly different and the call center QA metrics that are tracked should adapt accordingly.
Defining the correct call center quality assurance metrics starts off by establishing which QA metrics are the most relevant to your company’s goals.
Below is a short list of some of the most common call center metrics used worldwide:
Average Speed of Answering (ASA): ASA (also called average delay of calls) measures how quickly the call center took to answer a call
First Call Resolution (FCR): This metric aims to track if reps are able to resolve customer problems on the first call or if multiple interactions are required.
Average Handle Time (AHT): The average time to successfully settle a call to a satisfying resolution. But, a low AHT with low customer satisfaction is detrimental to the call center. The goal is to resolve the issue, not to get callers off the line as quickly as possible.
Customer Satisfaction Score (CSAT): How satisfied are customers – for example, on a scale of 1 to 10, 1 being not at all satisfied and 10 being very satisfied.
Net Promoter Score (NPS): NPS measures customer loyalty and the strength of your relationships with your customers, one way it does this is by tracking how likely a customer is to refer [promote] you to a colleague or to a friend.
According to a recent article in Forbes written by a contributor from Bain Insight, improving call center quality includes changing what you measure, so your organization can focus on improving the customer experience—which leads to fewer calls from unhappy customers. Using Net Promoter ScoreSM, a leading metric for customer loyalty and comparing it to internal call agent quality assurance metrics can provide valuable insight into how agent performance measurement compares to customer loyalty. Using “first-call-right”quality assurance metrics should replace average handle time metrics. An organization can monitor its average handle time to better understand the resourcing requirements, but overemphasizing this metric often results in fewer first-time resolutions and poor customer experience, which costs the organization more over the long run.
As a call center or quality manager, you can't ignore the impact of customer emotions on your bottom line. Yet, many traditional call center metrics fail to measure how customers feel. The speed in which your agents’ answer and resolve a customer call is important but it does not communicate how a customer feels after interacting with the call center agent. It also does not express how the agents' behavior impacts the customer's feelings.
Looking at how well the agent engages with the customer is the key to improving call center QA and performance. Here are several important tips to help you measure and improve the quality of your call center interactions.
When a customer reaches out to a call center for service, they want to be heard and feel as if the agent understands what they are going through. Empathy helps create a memorable, positive customer service experience. So, if the customer feels like the agent doesn’t care, they are not likely to feel compelled to continue doing business with the company. Empathy is important when it comes to optimal customer service.
Empathy occurs when the agent celebrates the customer’s success with them. When an agent shows empathy, they truly understand the impact that the problem is having on the customer’s day. Having empathy for the customer’s situation will propel the agent to help ease the customer’s pain by doing everything that they can to remedy the situation.
So, how can you measure whether your agents are empathic towards customers? Here are several questions that your metrics should answer to determine if your agents employ empathy in their interactions with customers.
Call center agents can meet customers’ needs by going above and beyond in the interaction. Customers want to feel like the agent appreciates them. When a call center agent goes above and beyond, it lets the customer know that they are valuable and appreciated.
Here are some ways to measure whether the agent went above and beyond:
How well the call center agent understands and adheres to your company’s procedures is important. It may be invisible to the customer but If the agent does not provide the caller with the correct information or ignores company policy, it can adversely affect service downstream not to mention the bottom line and company reputation. You should therefore use a metric that measures business critical issues, whether agents are following company procedures. Here are some questions your metrics should answer:
Are your call center agents listening to your customers and listening for the opportunity to provide value? Trying to sell something to a customer that they do not want is an imposition on the customer and is likely to make them feel irritated. For example, if a customer calls your call center because they want to order a computer for their child and the agent tries to sell them an upgraded suite of software for business use, the agent has not actively listened to the customer. On the other hand, selling a parental control package to a customer buying a computer for their teen is a great way to meet that customer's needs, especially if the customer has expressed worry about their teen visiting inappropriate sites on the internet. Your quality assurance metrics should be able to answer the following questions:
The benefits accrued for companies using call center quality assurance metrics cannot be overstated. There is compelling evidence of a link between consistently high levels of customer satisfaction and superior financial performance. This should motivate CX leaders to make the case for investment in customer experience and highlight the return in terms of customer experience outcomes, financial benefits, employee engagement and reputation.
According to a recent Forrester Insight article, finding the correct metrics to measure and improve upon, depends upon your firm’s individual goals. The goal, for example, grow revenue will necessitate using metrics that measure customer behaviors you are looking for such as customers buying more, customer retention and customers recommending your products or services to other potential customers.
Scoring and reporting on call center QA Metrics will pinpoint deficiencies and proficiencies in agent performance and at the same time will enrich coaching that QA managers need to provide their agents. By tracking progress of the agents, providing timely feedback, coaching and training, QA managers can build a much better culture for agent progression. And to the most important benefit accrued, customers’ will experience much better service quality and increased satisfaction, and thus the likelihood of a significant improvement of brand awareness and brand loyalty.
How do you measure CX and customer happiness successfully to improve QA metrics? Answering this question is the foundation for any successful metric tracking.
According to a recent study published this year by the Institute of Customer Service, the key differences in satisfaction between the highest scoring organizations in customer satisfaction, within each industry sector, are complaint handling, over the phone experiences, openness, trust and transparency. These companies have tended to show the strongest levels of revenue growth, profit and employee productivity.
By employing metrics that measure performance of agents in each of these areas, organizations can gain higher levels of customer satisfaction than their sector averages.
In this report the Institute of Customer Service cites key considerations when trying to improve QA metrics including:
• Measuring the attributes of experiences that are considered most important by customers
• Identifying and measuring the key drivers of satisfaction, dissatisfaction, recommendation or repurchase
• Measuring customers’ perceptions about the values and qualities that are core to the
• Tracking linkages between employee engagement, customer satisfaction and employee productivity.
The next step is to determine what analytics are best suited to provide the data that measures the CX and QoS correctly. Last, you must create a process to record, track, and analyze to turn the data into an action plan you can use to improve the call center.
Call center metrics must include information that measures non-quantitative things like empathy, rapport and content. Call center managers must understand whether the agent’s behaviors during the interaction fostered empathy and rapport. Also, the manager must work with the agent on developing behaviors that will help provide a great customer-service experience.
One way to do that is with the Scorebuddy’s Call Center Quality Management and Agent Engagement solution. Scorebuddy helps to measure non-quantitative performance factors and can help you work with the agent on improving behaviors that directly impact customer service. Scorebuddy allows managers to give agents feedback on behaviors that will enable them to do their jobs better. Here are some of the ways that your call center can use the Scorebuddy to improve quality control:
Monitoring qualitative factors will be more likely to ensure that your team delivers excellent customer service. It will help improve customer loyalty, satisfaction and agent effectiveness. Measuring qualitative factors can help you decrease agent turnover and costs. Scorebuddy offers a large ROI for a very small investment.