How to Analyze Customer Sentiment with Google Gemini

Customers provide teams with feedback constantly, in the form of tickets, survey comments, app reviews, and countless other sources. But much of this data is unstructured, making it challenging to identify patterns across hundreds or thousands of responses. In the past, making sense of this data required customer service teams to manually comb through spreadsheets, categorizing feedback by sentiment, severity, and topic. This process was not only extremely time-consuming, but also quite subjective and prone to error.