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The data collected, measured, and analyzed for contactcenters is an absolute gold mine. When used wisely, it can greatly improve the customer experience. In other words, the link between data and customer experience can become a virtuous circle.
Customer experience (CX) has become a priority for the vast majority of organisations – or has it? With the large volumes of contactcenter advisors still incentivized based on speed – typically the AverageHandleTime (AHT) – CX goals are quite often unachievable. Quality versus Quantity. Cultural Conflict.
Companies are responding to customer service because they want a market share and they want to stay alive. Customer service is no longer a commodity, it’s a competitive differentiator. You talked about having customervoice in the C-suite. What do people measure and use as a leading indicator of customer service?
Companies are responding to customer service because they want a market share and they want to stay alive. Customer service is no longer a commodity, it’s a competitive differentiator. You talked about having customervoice in the C-suite. What do people measure and use as a leading indicator of customer service?
By leveraging AI in call center quality management, businesses can monitor and improve key performance indicators (KPIs) such as: First Call Resolution (FCR) ensuring issues are resolved on the first call. AverageHandlingTime (AHT) optimizing the time spent on each call.
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