Digital Marketing

How to Analyze Survey Data: Methods& Examples

Best SEO Course - SEO Genius
New Batch Starting
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
10x your Productivity
Get your
Free Course Now.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Many people strongly believe that you must be a data scientist in order to analyze survey data. This is wrong! Analysis of survey data only requires you to understand the basics and the methods of data processing. Did you know that a small survey shared with your team member can easily present lots of insights and leave the readers calling for more?

The problem is how to join the dots and come up with a detailed data report that your readers can enjoy. However, the step you make once you receive the survey data greatly impacts how you analyze it and the insights you present to your readers. Remember that analyzing this data is crucial in helping your team members understand the organization's progress.

Converting raw data into actionable insights requires you to have a unique approach that will enable you to navigate throughout the process. This guide offers detailed information and a clear example of a survey analysis that will enable you to navigate the process. Keep reading for more insightful information!

Effective Ways of Analyzing Survey Data

You cannot make good use of data when it's just lying around. Before data is applied in any case, you need to analyze it and extract all the vital insights. To analyze survey data, you need to be well-equipped with the strategies required to enable you to get the job done. Below are some of the top ways to use when analyzing survey data.

Start with the Quantitative Questions

When conducting a survey analysis, you should always begin with the quantitative questions. Given that the responses to these questions are based on numbers and statistics, you can easily analyze the data and conclude. You can use the Net Promoter Score tools to understand the likelihood of your customers recommending your brand to their friends and family.

Regardless of the number of responses you receive, you can easily recognize the promoters of your business brand across your target market. The goal is to ensure that you have a detailed report and figure of your loyal customers who are likely to recommend your brand. Also, this is a better way to identify your areas of strength and weakness in business.

Once you have collected a series of data insights using the scale on responses collected using Google forms for survey, you will automatically get a rough idea about your business performance. This information is meant to help you make the required changes within specific areas to ensure that your business is streamlined and running in the right direction.

Understand Correlation vs. Causation

The human brain is considered adept when it comes to finding patterns between various events. As a result, this situation mostly links two independent events in the form of mutually inclusive. Note that this happens even though the events may exist independently. Besides, this can result in cases of unnecessary biases.

It's pretty easy to misrepresent data, especially by correlating two independent variables. This clearly indicates why you need to be keen on matters to do with causation and correlation in your data. Note that different factors are also likely to affect causation and correlation in your data. Keeping all these aspects in mind can take you a long way in enhancing the accuracy of your data.

If you only consider correlation in your data variables, there are high chances that you will arrive at the wrong answer. This means that you should always analyze all the sides of the story to help you get the right answer that suits your needs.

Consider the Qualitative Responses

Qualitative Data is the descriptive feedback that you generate from your respondents. These kinds of responses are mainly generated from open-ended questions, which can differ from person to person. Note that the qualitative responses incorporate lots of insights that can help you determine your areas of weakness and strength. This is where you can get all the hidden data insights you have always wanted.

Once you have collected the qualitative responses, you need to take a closer look at each and every response that you get. Identify the common keywords used in the responses. When you identify the keywords, you can note them down and communicate them to the respective audience. The secret at this point is to focus on individual responses.

The focus is to identify the areas that require improvement within the business. Remember that the customer is always right, and you must do everything possible to satisfy them. Analyzing this data lets you learn what customers expect from your brand. Also, you get to learn insights about what to do in order to meet customer demands.

Make Proper Use of Cross-Tabulation

Cross-tabulation is an incredible strategy when you want to find out the relationship between independent data variables. In most cases, you will realize that your survey has responses from people who do not fit your target audience. As a result, your survey results are likely to get skewed towards one option. Sometimes, you might find the responses irrelevant.

When targeting customers within a specific region, you need to ensure that your survey is mainly directed in a specific region. Ensure that you only focus your questions on the people you want to hear from. However, given that your survey will be visible to almost everyone, you will always get irrelevant responses that are likely to affect the accuracy of your data.

This means you need to have a strategy that will enable you to sieve the responses to help you deal with accurate data. Cross-tabulation is the best strategy to help you ensure that you are dealing with the responses from the right audience. Remember that the goal is to ensure you get the right message from your ideal customers.

Compare the Survey Data against the Past Results

If you have been in the business field for quite some time, it's automatic that you must have conducted a similar survey in the past. At this point, you can compare the data results you have at your disposal with what you recorded in the past. As a business owner, you should always keep your data reports handy instead of throwing them away.

The best way to analyze your survey results is by comparing them with your past data. If you have ever done a past survey and have the report, you can easily compare it with the most recent data report you generated from your findings. This will give you a better idea of evaluating your business progress. You will get to learn whether you are improving or not.

It's a simple method that you can use to evaluate the position of your business across the industry. If you haven't done any research in the past, you can use the current data as a benchmark. This means you will use the current data to evaluate your business performance the next time you conduct a market survey. The goal is to ensure you get a better picture of your business performance within a particular duration.


It is also essential to have a great Survey Maker tool at your fingertips.

Collecting customer feedback is an integral strategy that you can use to transform your business performance. Every successful business invests most of its time in understanding what customers say about their respective brands. Before making any changes within the business, you need to understand what customers say about your business.

In order to implement customer feedback, you need to understand what they are saying. This will help you make the necessary adjustments that are critical in helping you make the right decision. When you have the right methods of data analysis, you will automatically find it easier to analyze your customer feedback and make the right changes within the business

Blog Post written by:
Digital Marketing Institute