automated quality monitoring

3 Ways Call Center Quality Improves With Artificial Intelligence

The communication that occurs between customers and agents in your call center hold incredibly valuable information. There are many industry advancements that make it easier to collect insights captured by those calls or text-based chats, but Artificial intelligence (AI) is one that has proven incredibly valuable for the call center sector. AI is an especially powerful tool regarding improving and maintaining quality levels in your customer interactions. It Lets You Monitor How Agents Handle Customer Queries Quality monitoring is crucial for the success of a call center, and using Artificial Intelligence to monitor the effectiveness of your customer relations can lead to better results than ever. With AI you are able to record and transcribe every call that comes in, and analyze what was said in the interaction. As a result, you can evaluate how agents deal with various types of questions and ensure they’re following best practices. If they aren’t, it’s easy to provide specific constructive feedback and keep quality levels high. It Detects Useful Business Patterns A powerful asset of artificial intelligence is automated quality monitoring. This gives you the ability to track trends in your customer feedback. For example, after launching a new login portal for a website, calls from users who don’t understand how to access their accounts might go up by an estimated 25%. That’s a shift worth your attention, but you might not notice the severity of the issue without an intelligent call center solution that includes automated quality monitoring. AI is able to report to you on the data that most needs your attention. Some interfaces allow you to look at history-related metrics. These break down the total number of calls received over a chosen time period, by analyzing data and discovering the most common topics. If metrics show that over the last two weeks a higher than average number of callers were highly satisfied and said they had come to your company after leaving a competitor, then your recent practices are worth continuing. Based on the knowledge gained from captured data, you can then determine whether there are problems that need to be fixed. The information also confirms if the business techniques you’re using are working as intended. It Helps You Stay Compliant Many call center managers have their staff members follow scripts. This approach ensures all customers get similar experiences and reduces your liability. Quality monitoring is an easy way to track this, and enjoy peace of mind, knowing for certain your team members are following the scripts as they’ve been trained to do. If necessary, you can intervene and give guidance to maintain compliant communications. Artificial Intelligence is the next step to managing your call center, and maintaining the level of success that your customers have come to expect. AI-derived knowledge from all your calls combines technology with a human touch. Consider investing in one soon. This blog is first published on LinkedIn.

Could an Intelligent Quality Monitoring System Restructure Your Process and Optimize Your Product?

Spreadsheets are the traditional method of maintaining data in a call center. However, inconvenient issues can arise when supervisors need to transfer data from a previous month and incorporate it into new documents. This process can become extremely time-consuming, and it is prone to errors. Also, it’s also very difficult to pinpoint trends in the data and take corrective action when needed. Automated quality monitoring has become a worthwhile solution for many managers, and especially those who are dealing with large volumes of communications. That’s especially true because the built-in technology often allows for spotlighting a particular month or even looking at data collected during a single day rather than looking at massive amounts of statistics at once. Improved Data Tracking Generates Better Insights Some quality monitoring solutions include information-rich dashboards that let you gain a complete understanding of what’s happening when customers call to speak to your agents. Get information about top issues or the number of times employees had to transfer calls to supervisors. You can also learn more about instances of channel switching. It occurs when a customer is trying to do something on line for an example and they are forces to call in, or if an agent has to transfer the caller to another department for further assistance. Spreadsheets usually don’t tell you all those things, and if they do, extracting the data takes a prohibitively long time. In contrast, a more robust quality monitoring system allows you to gain knowledge with a few clicks of a mouse. Save time and feel more equipped to make wise business decisions based on compiled data instead of just gut instinct. Keep Quality Levels Consistently High Whether your call center agents assist with sales or simply provide support, it’s important to remember that the level of service they provide can be thought of as a product itself. When people reach out for help, they expect similar experiences. Otherwise, your organization may develop a reputation for providing inconsistent assistance to callers. Think about investing in a smart platform that records all calls and analyzes them to detect patterns. It happens automatically and flags communications that require further review. That feature gives you peace of mind and prevents having to listen to all calls manually when assessing them for quality assurance purposes or trying to find out what else your customers are saying about you. Collective metrics can also reveal strengths and weaknesses associated with your agents, which leads to more relevant training and could be helpful when employees need periodic performance reviews. It’s time to look beyond spreadsheet-based methods of quality monitoring. A dedicated platform could help you meet your goals while reducing hassles related to manual approaches. This blog is first published on LinkedIn

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