Feedback surveys are a tried-and-true way that businesses gain insights into their customers’ opinions. And while a lot of information can be obtained from structured survey questions, there are even more insights hidden in the text responses customers provide in surveys, social media and other online company and product review channels. Nowadays, a majority of customer feedback is in unstructured formats, so it’s important to implement analysis techniques that can help us uncover these insights quickly and effectively.
So here we present a quick guide to some of the data-driven analysis techniques you can use in your text analysis projects. But first, let’s clarify what we actually mean by “data-driven.”