Beginners Guide to Survey Data Analysis

24 Sep 2020

A powerful tool businesses can use to gather information and feedback regarding the state of their business is using surveys and data collection. Customer feedback surveys are a great way to get in the shoes of your consumer and understand your target market.

But, once this data is collected, what do you do with it? Survey data analysis plays a huge role in ensuring the data you collect is accurate, unbiased and can help you draw conclusions about the information you gather. There should always be valuable takeaways that you can apply to your business strategy.

When running your surveys, there are many different variables you want to pay attention to. Two of the most important categories for these variables come from demographic data and psychographic data. Demographic data refers to characteristics of a population, such as age, gender, location, language and income. Psychographic data refers to a qualitative approach which includes people's opinions, interests and emotions.

Once you run your survey’s, the way you frame the questions you ask and the time you ask the questions play an important role in gathering accurate survey data.

When dissecting your data, you may start to notice different patterns and trends that can relate to your original research and theses. Once you’ve gathered and analyzed the data, you can start to implement any changes that address the findings from your feedback survey.

To learn more about survey data analysis and data collection, check out this guide from Chattermill, or check out the infographic summary below.

Beginners Guide to Survey Data Analysis

Photo by Lukas from Pexels

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