Management & Operations

Call center data mining solutions

Posted on January 1, 2006 by Elizabeth Alke

With the idea in mind that good customer service is essential, Edmonton Transit System (ETS) in Alberta conducts innovative, qualitative analyses of call center data to provide clarity on customer satisfaction trends. Examining all customer inquiries, good and bad, ETS uses the results of this research to both modify service and successfully market the changes. This process becomes a cycle after the impact of these changes is measured through further customer satisfaction research, and more changes are made. The key resource for gauging customer satisfaction is the ETS Commendations and Concerns Tracking Information System (CACTIS), a database that receives, processes, classifies and stores a volume of 10,000 calls per year. Using qualitative data analysis software, ETS can produce reports from this large volume of data. Two recent case studies — one on rider-driver confrontations and one on driver performance — show the power of these analyses. Resolving confrontations
When initial customer call research began in 2000, satisfaction levels among young riders were low. Reading through sample calls hinted that third party, non-riders often called on behalf of sons, daughters or other vulnerable passengers. Software searched across monthly batches of call data for records containing such keywords as “son” and “daughter” and confirmed the suspicion that a majority of calls were made by parents. Further analysis showed that most of the calls defined by call-center staff as “confrontational” resulted from young people having disputes over fares and other policies. The results of this CACTIS analysis suggested that fare-related confrontations be a top priority for service improvements. Also, ETS developed a new, consistent fare-evasion policy and promoted it with the Canadian Urban Transit Association‘s award-winning Fare-is-Fair campaign. These actions led to a dramatic increase in customer satisfaction with the way operators handle confrontations. Many other variables comprise confrontations on buses, so it is hard to say that one specific policy change generated this increase. But subsequent to the change, data analysis revealed that, rather than mentioning mistreatment of their children, parents called more to inquire about the new fare policy. The tone of their calls was much friendlier, too. Safe-driving research
Analysis of CACTIS data about the operating performance of ETS bus drivers offers another example of the usefulness of this research. Interest in driving issues was compelled by fluctuations in customer satisfaction ratings on bus service, and an ETS interest in road rage. In this case, the frequent appearance of the term “rude” in customer call records warranted an examination of what customers meant when they use this generalization. Apparently, among other annoyances, callers to ETS viewed the following driving behaviors as rude: failing to yield to pedestrians; cutting off and crowding motorists; speeding; going too slow; and jerky stops and starts. Call center staff link 90% of calls to route, bus and badge numbers, but perceptions of driver behavior can be subjective and often unfair. A review of internal performance data revealed that, relative to the number of complaints, the incidence of transit collisions and injury claims was low, and would be more accurately monitored if statistics were reported according to specified causes. Following up, ETS launched an ad campaign promoting better cooperation from motorists. Alke is a research analyst with Edmonton Transit System in Alberta.

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