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Approaching your questionnaire data with the right principles in mind and charts in hand can produce compelling data stories packed with actionable insights.
Yes, you read that right.
Most questionnaires come jam-packed with both numerical and textual data. This calls for visualization charts specifically designed for questionnaires.
This is where graphs, such as Likert and CSAT Score Charts, come in.
These charts (mentioned above) are incredibly easy to interpret. To access ready-made survey-based charts to visualize your questionnaire data, you need a specialized tool.
Why?
Google Sheets may have a sizable library of charts for your visualization needs. However, the freemium tool lacks survey-based visualization charts, such as the Likert Scale.
You don’t have to do away with Google Sheets. You can supercharge its usability by installing a particular add-on. This add-on will give you unlimited access to ready-made survey-based charts, such as the CSAT Score Survey Graph.
You don’t have to worry about how to extract actionable insights from your questionnaire data.
In this blog, you’ll learn:
Before diving right into the how-to guide, we’ll address the following question: what is questionnaire data?
Definition: Questionnaire data is raw information gathered during a survey campaign.
You can easily visualize this data using survey-based charts and graphs for actionable insights.
A questionnaire contains a set of questions for gathering information from respondents through surveys. It may have both close-ended and open-ended questions.
Open-ended questions allow respondents to explain their thoughts in detail.
Questionnaires have numerous strengths over other forms of surveys.
Firstly, they’re inexpensive because they do not require much of your effort, especially during distribution. Secondly, there’s less chance of bias, especially if you have straightforward questions.
Gathering questionnaire data is time-saving and flexible. This is because questionnaires offer you a rich set of attributes to design, distribute, gather, and analyze the raw data.
Lastly, you can easily customize a questionnaire to reflect your brand voice and image.
Creating a questionnaire means formulating and organizing valid and reliable questions that mirror your objectives. Remember, designing a questionnaire is only one of the components of an online survey. You’re also expected to:
Sampling is critical in any survey exercise you conduct.
There will always be some differences between the population and the sample. However, reducing these variances can help you avoid sampling bias.
The goal is to take feedback from customers regarding the product:
The objective of the survey (below) is to gather feedback from event attendees:
Likert Scale Chart in Power BI
Likert Scale Chart in Microsoft Excel
Likert Scale Chart in Google Sheets
In the coming section, we’ll address the following question: what are the different types of questionnaire data
Open-ended questions allow your target audience to express their feelings and opinions freely in an open format.
These questions are not based on predetermined responses. So, respondents have an opportunity to express their opinions without limits.
Close-ended questions have multiple-option answers. Respondents have a single option from multiple-choice queries, also known as closed-format or closed-ended questions.
This questionnaire type is critical, especially when conducting preliminary research on a particular problem. Fixed answers allow you to gather data for in-depth analysis. There are seven types of closed-ended questions.
Let’s check them out.
Besides the aforementioned categories, there are two more types of questionnaires you can use to gather data.
This questionnaire type is made up of closed and open-ended questions.
Conversely, a pictorial questionnaire mostly uses images rather than texts to probe the respondents for answers.
Keep reading because, in the coming section, we’ll show you how to analyze questionnaire data.
Hypothetical questions can be misleading because they elicit fantasies and may lead to distorted insights.
Avoid embarrassing questions touching on private issues that may make respondents uncomfortable.
In the ensuing section, we’ll address the following question: what are the main questionnaire methods of data collection?
Self-administered questionnaires can be distributed on the web via email or social media.
This questionnaire type has the following benefits:
Researcher-administered questionnaires are distributed via the following:
In the coming section, we’ll show you how to analyze questionnaire data.
Until a decade ago, raw data from surveys was analyzed manually using tables, which was both tedious and inaccurate. With the rise of self-service analytics, this process has become more streamlined. In today’s world, machine learning and other cutting-edge technologies, along with survey-based charts, are increasingly changing the game.
You can now visualize your data faster and easier for actionable insights into survey data collected using questionnaires.
Below is the tested and proven blueprint we use to analyze questionnaire data.
In the coming section, we’ll show you how to put questionnaire results into a graph
Google Sheets is one of the most-used visualization instruments. However, the spreadsheet application lacks ready-made questionnaire data visualization charts, such as the Likert Scale and CSAT Score Charts. While it excels in many areas, it often falls short as a text visualization tool, making it challenging for users to effectively present complex survey data.
We’re not advising you to do away with Google Sheets in favor of other expensive tools.
This is because there’s an amazingly affordable visualization tool that comes as an add-on you can easily install in Google Sheets to access insightful and ready-to-go questionnaire data visualization charts. The tool is called ChartExpo.
So, what is ChartExpo?
ChartExpo is an add-on you can easily install in your Google Sheets without needing tutorials.
With many ready-to-go and insightful charts, graphs, and maps, ChartExpo, as one of the leading data visualization tools, turns your complex, raw data into easy-to-interpret and visually appealing questionnaire data visualization charts that tell real-time data stories.
More benefits
You don’t want to miss this if your goal is to take your questionnaire data storytelling to the next level.
This section will use a Likert Scale Chart to visualize the questionnaire data below.
| Questions | Scale | Responses |
| Was it hard to use our product? | 1 | 324 |
| Was it hard to use our product? | 2 | 176 |
| Was it hard to use our product? | 3 | 230 |
| Was it hard to use our product? | 4 | 130 |
| Was it hard to use our product? | 5 | 200 |
| Was the product a good purchase? | 1 | 138 |
| Was the product a good purchase? | 2 | 186 |
| Was the product a good purchase? | 3 | 176 |
| Was the product a good purchase? | 4 | 230 |
| Was the product a good purchase? | 5 | 270 |
| Is the product affordable? | 1 | 50 |
| Is the product affordable? | 2 | 138 |
| Is the product affordable? | 3 | 186 |
| Is the product affordable? | 4 | 176 |
| Is the product affordable? | 5 | 500 |
| How likely are you to recommend this product to others? | 1 | 330 |
| How likely are you to recommend this product to others? | 2 | 160 |
| How likely are you to recommend this product to others? | 3 | 200 |
| How likely are you to recommend this product to others? | 4 | 138 |
| How likely are you to recommend this product to others? | 5 | 186 |
| Is there any improvement we should bring to the product? | 1 | 330 |
| Is there any improvement we should bring to the product? | 2 | 160 |
| Is there any improvement we should bring to the product? | 3 | 200 |
| Is there any improvement we should bring to the product? | 4 | 138 |
| Is there any improvement we should bring to the product? | 5 | 186 |
To install the ChartExpo, add-on for Google Sheets click this link. Once you have installed ChartExpo for Google Sheets, follow the easy steps below:
This section will use a CSAT Score Survey Chart to display insights into the questionnaire data.
| Question | Rating | Count |
| How likely is that you will recommend us? | 0 | 10 |
| How likely is that you will recommend us? | 1 | 45 |
| How likely is that you will recommend us? | 2 | 61 |
| How likely is that you will recommend us? | 3 | 80 |
| How likely is that you will recommend us? | 4 | 123 |
| How likely is that you will recommend us? | 5 | 75 |
| How likely is that you will recommend us? | 6 | 41 |
| How likely is that you will recommend us? | 7 | 88 |
| How likely is that you will recommend us? | 8 | 45 |
| How likely is that you will recommend us? | 9 | 134 |
| How likely is that you will recommend us? | 10 | 209 |
Questionnaires can contain both quantitative and qualitative questions.
The quantitative questions are mostly on a rating scale. On the other hand, qualitative questions have text boxes where respondents can fill in their opinions and preferences in detail. Both formats are critical during survey data collection exercises.
Likert scale data requires specialized tools with Likert Charts, which are unavailable in Google Sheets and Google Sheets.
To access ready-made and visually appealing Likert Scale Charts to visualize this data type, install third-party add-ons, such as ChartExpo.
ChartExpo has an amazingly easy-to-use user interface (UI).
Approaching your questionnaire data with the right principles in mind and charts in hand will produce compelling data stories packed with actionable insights.
Most questionnaires come jam-packed with both numerical and textual data. This calls for visualization charts specifically designed for questionnaires.
This is where graphs, such as Likert and CSAT Score Charts, come in.
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