The Challenge
Trying to monitor, analyze, and score all customer interactions is not an easy task because of the vast amount of interaction data. Cigna could only evaluate 5% of all interactions manually. They were missing a major part of the information and trying to build a training strategy with limited insight.
The Solution
Using Sestek’s Speech Analytics, Cigna monitored and evaluated 100% of customer-agent interactions at its contact center. Using root cause analysis feature, they were able to pinpoint granular differences between top-performing agents and the rest. Establishing customized training sessions according to the insights provided enabled the call center to improve telesales operations significantly.



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