Adding Quality Metrics to Your Data Analytics


Dick Bourke of Scorebuddy shares his advice for improving both your insights from data analytics and your quality assurance (QA) processes.

If you can’t measure it, you can’t manage it, especially when it comes to QA.

How can you tell if you’re providing a quality customer experience if you don’t have call centre metrics to tell you exactly how you’re performing? You can’t.

The good news is that there are many critical quality metrics that any contact centre can easily add to its data analytics.

We’re not talking about average call handle times or calls per hour, which are highly relevant but probably already part of your analytics process, we’re talking about true benchmarks of your contact centre’s efficacy and seeing how you can improve call centre QA.

Which Quality Metrics Should You Measure?

There are many available KPIs for contact centres: from those that measure sales to those that measure productivity. But what are the metrics that measure quality and customer satisfaction?

First Contact Resolution (FCR)

First Contact Resolution (FCR)—also known as first call resolution—is one of the most essential quality metrics in your arsenal. It helps you keep track of whether or not repeat contact or callbacks are necessary across every channel.

It’s the gold standard quality metric for customer satisfaction, helping you measure whether anything is missing that causes your customers to contact you again to resolve their query.

Just make sure to define exactly what FCR means for your contact centre before you start measuring. Does it mean the customer didn’t have to call back or does it mean they didn’t have to be transferred to multiple agents to find the answer? Once you define FCR, then you can set the benchmark.

Service Level & Response Time

You need to ensure your Service Level Agreements (SLAs) are met, which means you need to measure your call centre QA metrics, your service level, and response time rates.

These QA metrics reveal how easy it is for customers to access your contact centre, how many agents are required to deliver exceptional customer service, and how your contact centre compares to your competitors.

Together, these metrics illustrate what your customers experience whenever they contact you. Your aim should be consistency, no matter how busy you get.

Schedule Adherence

How well your agents adhere to a schedule is not just a metric of productivity, it also demonstrates how well your agents are performing.

The goal is for each agent to achieve 80 to 90 percent schedule adherence, and to keep your agents accountable.

Contact Quality Management Score

Whatever method your customers use to contact you—call, email, live chat, social media, etc.—an essential metric is your quality management score. This measures how well your agent was able to help the customer based on their skills. It measures:

  • Product knowledge
  • Technical knowledge
  • Communications skills
  • Problem-solving skills

Reason for Contact

A quality metric that is often overlooked is the reason why your customers contacted you in the first place.

Keeping track of why someone called—or even called back again—will help you discover weaknesses in your self-service tools, support, and technical knowledge.

The last thing you want is the same question/concern coming up over and over again without any improvement.

Employee Engagement

Employee engagement is extremely important for customer satisfaction, since your agents are the single most important factor when it comes to customer experience.

The more engaged your employees, which can be tracked by conducting both quantitative and qualitative surveys, the more likely they are to provide high quality support for your customers.

How and Where Do Business Intelligence Tools Fit In?

Once you start measuring your quality metrics, you then have another challenge —you have to sift through the mountains of data to make informed, real-time decisions.

That’s where business intelligence (BI) tools can help. These tools can help you extrapolate insights from your metrics in order to improve overall customer satisfaction and boost efficiency.

BI tools help you capture all of your agents’ actions, so you can identify trends, tasks, and behaviours. Then, you can take this information and make changes to your contact centre.

For example, BI can help you identify repetitive tasks that can be automated for improved service and cost efficiency.

Also, it can help you predict staffing demands by analysing call trend volume or answer questions such as”Who is our top performing agent in terms of customer satisfaction?”

Adding in Quality Scores

One of the most valuable business intelligence tools for any contact centre quality assurance program is customer experience scoring, which can be either internal (self-scoring) or external (Net Promoter Score).

Quality scoring provides you with a consistent and effective way to determine customer satisfaction from either your agent’s perspective or the customer’s. Both are invaluable for helping your contact centre improve the customer experience.

When it comes to internal quality scoring, tools like Scorebuddy QA have powerful reporting and analytics tools that allow you to spot trends and exceptions, so you can manage, coach, and improve.

These tools makes it easy to dig deep into your call centre’s quality scores and carry out a root cause analysis to identify common pitfalls, broken processes, or training gaps.

You can also catch agents who are performing at the best-in-class level and recognize their good work, which improves agent engagement and loyalty.

For external quality scoring, your Net Promoter Score (NPS) measures customer satisfaction on a scale of 0-10. It tells you how likely it is that a customer would recommend your brand to a friend or colleague, which reveals whether you have happy or unsatisfied customers.

It’s a simple survey that you can provide to customers after their contact with you to see how satisfied they are with the result. Combined with the quality metrics mentioned above, it can help you find gaps in the customer experience.

A thumbnail image of Dick Bourke

Dick Bourke

There are countless reasons to add quality metrics to your data analytics and there are almost just as many metrics to consider.

Once you decide what makes the most sense for your contact centre and implement a scoring and reporting software (along with a BI software, where there is a need for more sophisticated analyses) into your QA process, you’ll be set up for success—able to consistently improve the customer experience and your contact centre’s effectiveness.

This blog post has been re-published by kind permission of Scorebuddy – View the original post

To find out more about Scorebuddy, visit their website.

About the author

Scorebuddy Scorebuddy is quality assurance solution for scoring customer service calls, emails and web chat. It is a dedicated, stand-alone staff scoring system based in the cloud, requiring no integration.

Read other posts by Scorebuddy

Call Centre Helper is not responsible for the content of these guest blog posts. The opinions expressed in this article are those of the author, and do not necessarily reflect those of Call Centre Helper.

Published On: 13th Aug 2019 - Last modified: 14th Aug 2019
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