Relative Insight can analyze any form of digitized text data. The most appropriate data source will depend on what you are trying to understand.  

Here are some of the most commonly analyzed types of data. For a more detailed breakdown and ideas of what data sources are suitable for different types of analysis, you can download our free resource below.

Customer feedback from any source. This may come from first-party (e.g. customer support transcripts) or third-party (e.g. social listening) channels.

Open-end, text-based survey responses can be analyzed at scale to reveal themes and differences between audiences.

Reviews can reveal what people like or dislike about your product or service to inform future improvements and development. This can also be used to uncover the drivers of employee satisfaction and improve retention rates. This may come from first-party (e.g. survey responses) or third-party (e.g. public review sites) channels.

Freely accessible information that is representative of how the public, or a specific target audience segment, talks about a relevant topic.