Survey Format Examples for Better Insights and Analysis

If you’re struggling to create a survey that engages your audience and provides insightful data, look no further.

We have survey format examples to save your day.

With our proven survey formats, you can capture the attention of your target audience and gather valuable insights.

Imagine accessing various tried and tested survey question formats by successful businesses.

You can save time and effort by choosing from these proven formats instead of creating from scratch.

Whether you’re a marketer, business owner, or researcher, chances are you intend to create effective surveys. Remember, the right survey format can make all the difference in your results.

In this blog, we’ve compiled the following:

• Top survey format examples to help you get started
• Also, we’ll address the following questions:
  • What is a good survey format?
  • What are the ways to format your survey?
  • What are the three Cs of the survey format?
  • How do you make an effective survey format?
• How to analyze your survey format data?
• Best survey format to improve responses

Before diving into the blog’s core, we’ll address the following question: what is a good survey format?

What is a Good Survey Format?

A good survey format is a must-have if your goal is to gather accurate data from respondents.

Below are some survey format examples that can help you create a compelling and engaging survey:

• Multiple-choice questions provide a set of options for respondents to choose from, making it easy to answer the question quickly.
• Rating scales ask respondents to rate a statement on a scale, from 1 to 10, or from strongly disagree to strongly agree.
• Open-ended questions allow your target respondents to answer in their own words, providing more detailed and insightful responses.
• Matrix questions allow you to ask multiple questions in a table-like format, making it easy to compare responses.
• Demographic questions collect information about the respondent, such as age, gender, and location.

To make your survey format more appealing to your target audience, consider using a mix of these question types and graphics or images.

Also, keep the survey short and concise to avoid respondent fatigue.

What are the Ways to Format Your Survey?

The format can significantly impact the quality and quantity of responses received, especially when designing a survey.

There’re different ways to format your survey, but the two most common ways are the classic and one-question-at-a-time format.

• Classic Format

The classic survey format example entails displaying all survey questions on a single page.

And it works well when your survey is relatively short and the questions are straightforward. Respondents can scroll on their mobile devices or use the keyboard to move between questions.

The classic format is efficient because respondents can see all the questions simultaneously. This helps them to understand the survey’s context and the flow of questions.

But, the format may not be suitable for long surveys.

And this is because respondents may become overwhelmed by the sheer number of questions on one page.

• One-Question-at-a-Time Format

The one-question-at-a-time survey format example displays one question at a time.

This means the survey automatically advances to the next question when a respondent answers the first. The format is suitable for long surveys because it helps to reduce respondent fatigue.

The one-question-at-a-time format reduces the chances of respondents skipping questions or providing incomplete responses.

But, the survey format may not be suitable for short surveys. And this is because it can be time-consuming for respondents to review each question.

When choosing the survey format, consider the following:

• Length and complexity of the survey
• Target audience
• The goal of the survey

Also, test the survey format with a small group of respondents before launching it to the general population.

This can help you to identify potential issues with the format.

What are the Three Cs of the Survey Format?

Creating a survey that delivers accurate and insightful results is the goal of any research project.

And the three C’s of survey format – clear, concise, and communicative – are key when considering the overall survey’s design.

The first C, clarity, ensures your survey’s purpose is clear to the respondents. The survey questions should be easy to understand, sequenced, and concise.

The clarity in a survey format will help your target audience focus on the questions.

To achieve clarity in survey format, use plain language. Avoid jargon or technical terms that may be unfamiliar to your target market.

The second C, conciseness, is aligned with the survey’s length. The survey should be short to avoid respondent fatigue.

Yes, you read that right.

Long surveys will reduce the participation rate and the responses’ quality. The key is only to include essential questions relevant to your objectives.

The third C, communicative, correlates with conveying the intended message to the respondents.

Your survey questions should be structured to communicate your overall objective effectively. Include relevant instructions and explanations to help your respondents understand your survey’s goal.

How Do You Make an Effective Survey Format?

The significance of a survey format cannot be overstated.

Why?

A poorly designed survey can result in misinterpreted questions and biased responses. And this can lead to inaccurate conclusions.

Therefore, consider the following points when designing a survey to improve responses.

Firstly, wrong wording can confuse respondents. Use direct and brief language to ensure your survey questions are clear and concise.

Your wording should be structured in a way that helps to obtain accurate data in the shortest time possible.

Secondly, ambiguous questions can lead to uncertain outcomes. If your survey questions are too perplexing, respondents may provide inaccurate data.

Use structured questions that provide a limited set of responses to increase the participation rate.

Lastly, avoid personal questions that may invade the respondents’ privacy.

If personal information is required for the research, use fixed responses for the respondents to check off.

This approach can help you gather demographic information like age, race, and income level without invading privacy.

How To Analyze Your Survey Format Data?

When you receive responses from a survey, the data format can be unappealing.

Why?

It’s just rows and columns of text or numbers with no emotional impact.

However, with ChartExpo, you can turn your survey data into stunning and emotionally appealing visualizations.

Using Excel to organize your data is a good start. However, you need more than rows and columns to truly understand your data.

ChartExpo is a tested and proven tool for converting tabular survey data into visually appealing and easy-to-read charts.

With ChartExpo, you get the best charts to use for your survey analysis. This can help you identify potential problems or opportunities in your data.

One of the best things about ChartExpo is its free 7-day trial. This means you can try out the various charts and sample data provided before committing to the paid version.

Once you upgrade, you can generate even more stunning visualizations that impress your audience.

Refrain from settling for boring rows and columns – try ChartExpo today.

How to Install ChartExpo in Excel?

To get started with ChartExpo in Excel, follow the steps below:

• Open your Excel application.
• Open the worksheet and click the Insert buttonto access the My Apps
• Click the My Apps and See All buttonsto view ChartExpo, among other add-ins.
• Select ChartExpo add-in and click the Insert

• Select your preferred chart

In the coming section, we’ll use ChartExpo to visualize the sample survey data below.

You don’t want to miss this.

Survey Format Examples

• Survey Format Example #1: Data Format with Text Responses

In this type of survey response, you’ll receive answers in the form of emotive language such as:

• “Strongly Disagree,”
• “Disagree”
• “Neither Agree nor Disagree”
• “Agree”
• “Strongly Agree”

This format allows your respondents to express their feelings and opinions more accurately and with greater emphasis.

This makes it an effective way to gauge their attitudes toward a particular topic.

Do you think the price of our product is affordable?	Do you think the quality of the product is better than others?	Should we change the product packaging?	Do you think our product is available in all stores in your city?
Neither agree nor disagree	Strongly Disagree	Agree	Strongly Agree
Strongly Agree	Agree	Disagree	Neither agree nor disagree
Neither agree nor disagree	Strongly Disagree	Disagree	Strongly Agree
Disagree	Agree	Neither agree nor disagree	Neither agree nor disagree
Strongly Disagree	Strongly Disagree	Strongly Agree	Disagree
Agree	Strongly Agree	Disagree	Strongly Agree
Strongly Disagree	Agree	Strongly Agree	Agree
Agree	Disagree	Strongly Agree	Neither agree nor disagree
Strongly Agree	Strongly Agree	Disagree	Agree
Strongly Agree	Strongly Agree	Strongly Disagree	Strongly Agree
Neither agree nor disagree	Disagree	Agree	Strongly Disagree
Strongly Agree	Strongly Disagree	Neither agree nor disagree	Strongly Agree
Strongly Disagree	Disagree	Disagree	Neither agree nor disagree
Strongly Agree	Strongly Agree	Strongly Agree	Strongly Agree
Agree	Agree	Agree	Agree
Neither agree nor disagree	Disagree	Agree	Strongly Disagree
Strongly Agree	Strongly Agree	Strongly Agree	Strongly Agree
Disagree	Strongly Agree	Strongly Disagree	Strongly Agree
Strongly Disagree	Strongly Agree	Agree	Disagree
Disagree	Disagree	Disagree	Strongly Disagree

• To visualize the survey data below, select the Likert Scale Chart, as shown below.

• Select the sheet holding your data and click the Create Chart from Sheet Data button, as shown below.

• Check out the final chart

• Survey Format Example #2: Data Format With Rating/Scaling

Another option for gathering feedback data is using numerical ratings on a scale of 1 to 5.

A rating of 1 represents Strongly Disagree, 2 = Disagree, 3 = Neutral, 4=Agree, and 5 = Strongly Agree.

We’ll use ChartExpo to visualize the sample survey data below.

Questions	Rating	Responses
Do you think the price of our product is affordable?	1	4
Do you think the price of our product is affordable?	2	3
Do you think the price of our product is affordable?	3	4
Do you think the price of our product is affordable?	4	3
Do you think the price of our product is affordable?	5	6
Do you think the quality of the product is better than others?	1	3
Do you think the quality of the product is better than others?	2	6
Do you think the quality of the product is better than others?	3	0
Do you think the quality of the product is better than others?	4	4
Do you think the quality of the product is better than others?	5	7
Should we change the product packaging?	1	2
Should we change the product packaging?	2	6
Should we change the product packaging?	3	2
Should we change the product packaging?	4	5
Should we change the product packaging?	5	5
Do you think our product is available in all stores in your city?	1	3
Do you think our product is available in all stores in your city?	2	2
Do you think our product is available in all stores in your city?	3	4
Do you think our product is available in all stores in your city?	4	3
Do you think our product is available in all stores in your city?	5	8

• Follow the same steps we used in the ‘data Format with Text Responses’ section.
• If you follow the same steps, you should have the chart below.

Insights

• Question #1: 45% of customers agreed with the price of your product, while 35% indicated they find it unaffordable. The remaining 20% remained neutral in their response.
• Question #2: 55% of customers agreed that the quality of your product is good. Conversely, 45% indicated that it is not as good as other products. No one remained neutral in providing feedback on this question.
• Question #3: 50% of customers indicated that the packaging should be changed, whereas 40% responded that there is no need to change the packaging. The remaining 10% remained neutral.
• Question #4: 55% of respondents agreed that the product is available in all stores within the city. 25% indicated that the product is not available. The remaining 20% did not respond.
• Overall: 33% of respondents strongly agreed with the statements in the survey. 19% simply agreed, 21% disagreed, 15% strongly disagreed, and 13% remained neutral.

FAQs:

What are the different survey formats?

There’re several survey formats, like structured and unstructured surveys, multiple-choice questions, closed and open-ended questions, and Likert scales.

Each format has its advantages and disadvantages. The choice depends on the research objectives, target audience, and data type.

What is the proper structure of a survey report?

A survey report should typically include the following:

• Executive summary
• Introduction
• Methodology
• Results
• Analysis
• Conclusions
• Recommendation

It should be well-organized and easy to follow, with clear headings and sections.

You can also use visual aids like charts and graphs to enhance the presentation of data.

Wrap-Up:

In conclusion, the significance of a survey format cannot be overstated.

Proper wording, question order, and structure are essential for obtaining accurate data for analysis.

Survey format examples we recommend include open-ended, structured questions, text, and numerical responses.

To analyze survey data effectively, use intuitive visualization tools like ChartExpo.

ChartExpo, an add-in for Excel, is a tested and proven choice for creating stunning and meaningful visualizations. It has a comprehensive library of charts designed for survey analysis.

ChartExpo is easy to use and provides a 7-day free trial for you to test out various charts and sample data.

Once satisfied, you can upgrade to the paid version for even more options.

ChartExpo is the go-to solution for creating visually appealing and informative survey reports.

Try ChartExpo out now and enhance your survey data analysis.