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Aligning Call Center Agent Goals with Customer Desires
In the 1990s, the teller counter was the primary customer-facing area in the financial service industry, and so improvement efforts were leveraged in this arena. With increased improvements in technology and online banking utilization, however, process improvement efforts have shifted to internal areas. Yet companies must realize that even though customers are becoming more self-reliant through the use of technology, they still need assistance from time to time, which has led to an increased volume in call centers. Within these call centers, there may be no bigger improvement opportunity than the agent call handling process. In most cases, this is the only interaction the customer has with a company and they expect superior delivery in answering their questions and resolving their issues. Making Call Center ImprovementsI had the opportunity to work on business process improvement efforts with a call center a few years back. The call center employees were feeling a great deal of stress due to expected response times and resolution on customer inquiries or complaints. Management collected a lot of data regarding hold times, the number of representatives available to answer calls and average call length. To improve these measures, management posted live updates on a board to promote a little competition (Figure 1).
The competition motivation worked. Call agents did their best to answer calls and get the customer off the phone as fast as they could. Hold times and call duration were dramatically decreased. The drawback was that many of the customer calls were ended without resolutions. One of the key customer satisfaction areas was resolution on inquiries or complaints. In addition, call volumes began to increase dramatically. Practitioners eventually were able to conclude that often the same caller was calling back multiple times because their issue had never been resolved, thus increasing call volume. The call center manager was planning to “react” to this by hiring more staff, reallocating staff from Region B to Region A, and forcing staff to be on the phone more. Through validating existing processes, measurements and controls, practitioners were finally able to determine that they were not collecting data relative to the company goals of resolving 85 percent of the inquiries the first time around (first-call resolution) and 90 percent of inquiries within three days (three-day resolution). In addition, they gathered data on the callers who were unable to get answers to their questions. The team then incorporated Lean and Six Sigma to focus on the goals associated with improving performance. Call Center DMAIC FindingsDefining the customer, their critical to quality (CTQ) issues and the core business process involved:
Common sense dictated that call center agents must be available to answer calls to keep hold times down; however, voice-of-the-customer (VOC) data revealed that providing issue resolution or answering questions was, by far, more important than hold time. Although Region A and Region B utilized the same process, process maps for both regions were created in hopes of finding a quick win, given that the data collected showed Region B outperformed Region A. Early analysis proved this was merely due to call volume because Region A serviced more heavily populated areas. Measuring the performance of the core business process involved:
Baseline performance had previously been gathered on hold, call abandonment and duration times. With the new knowledge and emphasis placed on call resolution time, practitioners established the following baselines: First-call resolution = 35 percent and three-day resolution = 45 percent. Upper specification limits were validated and communicated. In preparation for Analyze, the team gathered additional metrics, including call volume and cost per call. This data was stratified by region, employee, month, time of day, number of callers who never received an answer, and number of callers who had to make multiple calls for the same issue or question. While Analyzing the data collected and the process map to determine root causes of defects and opportunities for improvement, practitioners:
During the Analyze phase, practitioners learned:
Improving the target process by designing creative solutions to fix and prevent problems involved:
In order to achieve company goals, the following solutions were agreed upon:
To reduce variation, call center representatives needed to have a process to follow (standard operating procedures). The representatives should follow that exact process because it allows them to deliver quality service and because it makes their work life easier. However, standardizing the process did not mean the process was optimized. Practitioners eliminated several kinds of waste in the call center: waste from having the product or people waiting around, waste from excessive steps or movement, and waste from rework. Controlling the improvements to keep the process on the new course involved:
In less than eight weeks, baseline goals rose from 35 percent for first-call resolution to 93 percent and from 45 percent for three-day resolution to 97 percent. In addition, calls that never received an answer were all but eliminated. Figure 2 provides an example of the revised scoreboard displayed for call agents to better monitor progress toward goals.
The benefits of applying Lean and Six Sigma process improvement methodologies to call center processes can be rewarding. Needless to say, customer delight rose significantly. There have been many developments since the improvement effort was orchestrated. New software, for example, provides the ability to respond to the customer immediately after the call, to collect online and instantaneous customer feedback, and to gain a current measure of customer delight instead of waiting until the next survey. This provides for continuous improvements in the call agent handling process and enables ongoing application of Lean principles that will produce breakthrough results for employees, customers and shareholders. About the Author: J. DeLayne Stroud is a Master Black Belt project manager with DeLeeuw Associates, a division of Conversion Services International. He retired from Bank of America in 2005 with more than 20 years of experience as an executive in project and change management in the banking industry. He has led multiple Six Sigma initiatives including Design for Six Sigma and Lean initiatives. During his career, Stroud was a senior project manager in some of the largest mergers and change initiatives in the history of the financial services industry. He can be reached at jstroud@deleeuwinc.com. Reproduction Without Permission Is Strictly Prohibited Copyright Requests Publish an Article: Do you have a Six Sigma tip, learning or case study? Share it with the largest community of Six Sigma professionals, and be recognized by your peers. It's a great way to promote your expertise and/or build your resume. Read more about submitting an article.
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