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.
Open-end, text-based survey responses can be analyzed at scale to reveal themes and differences between audiences.
Employee feedback surveys
Customer satisfaction surveys
Market research surveys
Freely accessible information that is representative of how the public, or a specific target audience segment, talks about a relevant topic.
Social listening data (e.g. Twitter)
Forum discussions (e.g. Reddit)
News and media coverage
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.
Product or customer reviews
Employee satisfaction reviews
Public review sites (e.g. Glassdoor, Amazon, Trustpilot)
Customer service data
Customer feedback from any source. This may come from first-party (e.g. customer support transcripts) or third-party (e.g. social listening) channels.
Customer support transcripts (chat transcripts or voice-to-text recording transcripts)
CRM notes and emails