For example: When customer see a bad NPS score on Customer Service Availability. With a word cloud we could deduce whether the dissatisfaction is mainly in the waiting time for a response or in the availability by telephone or the amount of repeat emails customers have sent.

This could be of great help in detecting quick fixes when a long-term solution is not available and can save a lot of time reading through customer responses.

This not only creates an image for Root Causes but also for the substantive feedback from the customer.