5 examples of AI in the contact center
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The Team at CallMiner
February 06, 2019
Call center monitoring is one of the most effective ways call centers can improve their customer service; it gives managers the opportunity to watch (or rather listen) to their agents in action.
By monitoring what agents say during interactions, managers can easily identify problems within their teams, maintain quality standards and compliance, improve the customer satisfaction and experience, and improve overall call center performance. However, listening in on a few calls here and there isn’t going to do any good for your agents, your customers, or your call center at large.
Here are three ways you can improve your call center management and center monitoring practices:
Let’s say call center managers were able to manually review 5 random calls per agent each month for call center quality assurance and training purposes. Depending on the call volume that means only a few percent of calls are actually used for coaching and training, which is nowhere near a statistically significant sample size.
How can a manager effectively use call center monitoring when they don’t have trust-worthy data to pull actionable insights from?
Call quality monitoring is all about changing agent behavior and managers need to understand how agents act day-in and day-out, not just basing their entire review and training plan on 1 or 2 calls. Instead of manually reviewing a small sample of calls, managers can improve call center monitoring with a speech analytics solution where 100% of calls are automatically recorded AND calls are monitored in real-time to yield key performance indicators.
Now you are getting a 360 degree view with this call center monitoring software and can trust your action items are based on sound data, not just casual observations.
Make sure your call center quality monitoring goals accurately represent your customers’ expectations and aren’t just about what numbers you wish to see from your agents. If you’re not monitoring for and measuring what customers’ value then you’re just wasting your time and tasking your contact center agents to hit certain goals that could actually undermine the customer experience.
For instance, Average Handling Time (AHT) is a commonly reviewed metric because the faster an agent wraps up an interaction the faster they can move onto the next call, thereby shortening call wait times. But just because an agent gets through their calls quickly that doesn’t mean they are getting through them effectively. An agent primarily obsessed with speed might not fully resolve the issue, prompting the customer to call back or try another service channel if their customer expectations have not been met. Vice versa, an agent might spend 10 hours on the line with one customer but that doesn’t automatically mean they are a terrible employee even though they failed to meet your call center’s AHT goals.
Improving your agents’ first call resolution rate (FCR) and tracking that metric is a way of measuring your employees’ efficiency and driving customer satisfaction.
It’s important to remember that you can’t evaluate agent performance in a vacuum.
When your whole team understands what you’re looking for during the quality monitoring process you have a much better chance of adjusting behavior as people are aware of how their personal agent performance is being evaluated.
For instance, define what constitutes a “quality” interaction and the subcategories that are being scored.
Providing examples that demonstrate the excellent, average and or poor quality of the behaviors being measured gives your agents a solid base to work from and outlines expectations of performance. And since you are now analyzing 100% of calls with quality monitoring software, they know that each interaction has to be the best it can. They can’t just phone it in (pardon the pun) most days and put on their best behavior when they know they are being monitored.
Having a call center monitoring procedure in place is half the battle, but if you want to get real actionable insights and make real performance changes it’s imperative that call centers focus on improving their monitoring practices as much as they can. The more trustworthy data you can collect the more positive impact you can have.
CallMiner is the global leader in conversation analytics to drive business performance improvement. Powered by artificial intelligence and machine learning, CallMiner delivers the industry’s most comprehensive platform to analyze omnichannel customer interactions at scale, allowing organizations to interpret sentiment and identify patterns to reveal deep understanding from every conversation. By connecting the dots between insights and action, CallMiner enables companies to identify areas of opportunity to drive business improvement, growth and transformational change more effectively than ever before. CallMiner is trusted by the world’s leading organizations across retail, financial services, healthcare and insurance, travel and hospitality, and more.