{"id":9030,"date":"2021-12-13T16:00:03","date_gmt":"2021-12-13T15:00:03","guid":{"rendered":"https:\/\/zestmeup.com\/?post_type=blog&p=9030"},"modified":"2025-12-12T18:11:04","modified_gmt":"2025-12-12T17:11:04","slug":"how-to-make-the-most-of-your-survey-comments","status":"publish","type":"blog","link":"https:\/\/zestmeup.com\/en\/blog\/how-to-make-the-most-of-your-survey-comments\/","title":{"rendered":"How to make the most of your survey comments"},"content":{"rendered":"\r\n
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How to make the most of your survey comments<\/h1>\r\n\r\n\r\n

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Find out how to use your survey responses effectively with our simple and effective tool.<\/p>\r\n<\/div><\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div><\/div>\r\n\r\nIn order for comments to add real value to the analysis & interpretation of survey results, a simple and effective tool is essential. Find out in this article how to make the most of your survey results.<\/span>\r\n\r\nWhilst numbers can seem cold, words add depth to the interpretation of results, providing qualitative data to complement the statistics. As well as giving employees the opportunity to express themselves in their own words, survey comments also allow organisations to gather novel insights into potential problems.\r\n\r\nHowever, once collated, all these comments, all this qualitative data, is redundant if we are not well equipped to analyse and interpret it.\r\n\r\nAnalysing survey comments by hand is an extremely laborious, time-consuming and subjective process. Condensing what could be thousands of comments into a readable amount of information requires some help.\r\n

Natural Language processing (NLP) in Zest<\/strong><\/h3>\r\nIn short, NLP concerns training computers to \u201cunderstand\u201d the content of a piece of text. This field of research is at the intersection between machine learning and linguistics.\r\n\r\nConcretely, Zest uses NLP to automatically analyse comments in two different ways:\r\n