Some end up spending thousands on old-school text analytics software without meaningful outcomes. This takes precious headcount and a ton of manual effort. Traditional methods involve hours of sorting through a wall of text in a spreadsheet, coding each text response by hand. Analysis of free text comments can be time-consuming and expensive. Many businesses avoid asking open-ended questions in surveys. Now that you have this mountain of feedback available, what do you do with it? Is there any easy way to identify common themes in responses? How can you create a clear and meaningful report to turn feedback into action? Maybe your customers are using your contact form to send in opinions as free-text feedback. Maybe you sent out a survey or collected reviews. You’d think you could never get enough of a good thing, but once you get to a certain point, there’s just too much to analyze, especially if you're doing manual analysis.
Most likely, you landed in this blog because you have too much feedback to easily analyze. Thematic Analysis Software: how it works and why you need It AI & NLP Customer Experience Sentiment Analysis Thematic
