How to Analyze Qualitative Survey Data with AI Reviewers ranked the app from 1 to 5 stars on general use (“Stars” column), value for money, ease of use, features, and customer support. The below examples show the results of over 2,500 survey responses for the messaging app, Slack. To get the most out of your survey responses, start with the end result in mind by asking What are my goals and what insights do I want to gather?Īnalyzing quantitative survey data in Excel can be a snap with built-in formulas, tables, and charts.
How to Analyze Quantitative Survey Data in Excel But first, let’s explore how to analyze survey data in Excel. Later on, we’ll introduce you to survey analysis tools that make it easy to break down open-ended survey results for real qualitative insights. They’re harder to analyze because they are not organized in any predefined manner. Open-ended responses can be categorized as qualitative data or unstructured data. These open-ended questions elicit more detailed responses and can help companies really understand what they’re doing right or wrong. The answers to close-ended questions are usually multiple-choice, rated on a number scale, or one-word answers, like Yes/No, so are easily quantifiable.ĬSAT and NPS surveys can quickly help companies measure how happy their customers are with their product, service, event, or brand by asking an easy-to-answer closed-ended question.īut, these surveys often ask a follow-up question to understand why customers leave a high or low score/feeling. You’d analyze this type of data using everyday tools like Excel. There are two basic data types in surveys: open-ended questions and close-ended questions.Ĭlose-ended questions deliver quantitative data, also known as structured data.
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