{"id":858,"date":"2021-10-23T13:26:00","date_gmt":"2021-10-23T13:26:00","guid":{"rendered":"https:\/\/123formbuilder.polarbuildingcleaning.net\/wp-blog\/?p=858"},"modified":"2022-04-15T09:58:47","modified_gmt":"2022-04-15T09:58:47","slug":"how-to-analyze-customer-feedback-data","status":"publish","type":"post","link":"https:\/\/123formbuilder.polarbuildingcleaning.net\/blog\/customer-feedback-analysis","title":{"rendered":"How to Analyze Customer Feedback Data"},"content":{"rendered":"\r\n

Customers leave feedback more than ever before, and businesses collect that feedback for various purposes. But unfortunately, a majority of businesses don\u2019t properly analyze the data from the feedback they collect, which makes the data practically useless.<\/p>\r\n\r\n\r\n\r\n

Customer feedback analysis allows you to gain insight from the data you collected. But if you don\u2019t know how to do it, at a first glance it could look like a difficult and time-consuming task. However, it\u2019s a straightforward process once you learn how to analyze feedback data.\u00a0<\/p>\r\n\r\n\r\n\r\n

And this is why we gathered all of the information you need on this topic.<\/p>\r\n\r\n\r\n\r\n

What Is Customer Feedback Data Analysis?<\/h2>\r\n\r\n\r\n\r\n

As you can probably guess from the name, customer feedback data analysis is the process of analyzing the data from the feedback you get from your customers.\u00a0<\/p>\r\n\r\n\r\n\r\n

But that\u2019s only an oversimplified explanation. To understand customer feedback analysis, you need to know it happens in two stages: micro and macro.<\/p>\r\n\r\n\r\n\r\n

In the micro stage, you figure out how to tag each data piece and perform the tagging as accurately as possible. And in the macro stage, you discover what all of that tagged customer feedback data means for your business.<\/p>\r\n\r\n\r\n\r\n

Why Is Customer Feedback Analysis Important?<\/h2>\r\n\r\n\r\n\r\n

Organizations receive a vast amount of feedback daily, and transforming the data from that feedback into actionable insights can be overwhelming. Even with rich data, the analysis is still not compelling enough because companies don\u2019t know how to analyze feedback data correctly.<\/p>\r\n\r\n\r\n\r\n

If you\u2019re dealing with this issue, there are a lot of things that might be going wrong. Your teams might be receiving poor data reports, you might not have a sound tagging system, or you\u2019re simply focusing on the wrong area of customer feedback.<\/p>\r\n\r\n\r\n\r\n

Whatever issue you\u2019re dealing with, you need to find a way to solve it and learn how to evaluate client feedback properly. Only then you will understand your customers better. Your customers always tell you what they need and expect from you, and it\u2019s up to you to listen.<\/p>\r\n\r\n\r\n\r\n

The Most Effective Ways to Analyze Customer Feedback Data<\/h2>\r\n\r\n\r\n\r\n

You\u2019re probably wondering how to analyze customer feedback to ensure you\u2019re getting great benefits out of the customer feedback analysis. In this process, there are five stages to go through.<\/p>\r\n\r\n\r\n\r\n

1. Collate the data in a single place<\/h3>\r\n\r\n\r\n\r\n

Before starting with any sort of analysis, you need to ensure all the data you collected is in a single place. And make sure to collect all of the feedback data you have access to, even if it\u2019s incomplete.<\/p>\r\n\r\n\r\n\r\n

2. Categorize the feedback<\/h3>\r\n\r\n\r\n\r\n

Now that all the feedback is in one place, it\u2019s time to organize and divide it into categories and sub-categories. When you categorize the feedback, it\u2019s easier to see the bigger picture and understand what\u2019s going on.<\/p>\r\n\r\n\r\n\r\n

You can categorize the feedback by type or theme. For instance, you can start by sorting feedback into positive, negative, and neutral, and then move on from there. Your sub-categories can be based on type or theme and include factors such as features, pricing, sentiment, and customer service, just to name a few.<\/p>\r\n\r\n\r\n\r\n

3. Code the feedback data<\/h3>\r\n\r\n\r\n\r\n

The next step is to start reading through the data and carefully create feedback codes for each row of data. Learning how to analyze customer feedback also includes learning how to code that data. And the first thing you need to know is that each code relates to the product that received the feedback.<\/p>\r\n\r\n\r\n\r\n

There are also some analysis codes for feature requests you could use, such as:<\/p>\r\n\r\n\r\n\r\n