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The survey analysis report is the most important part of the survey data storytelling because it addresses the question: Show me the data or result.
If you’ve just collected your survey data and you’re kind of stuck. You don’t know how to proceed. Or you want to craft a compelling data story using your survey analysis report, and you don’t know where to begin. Or, you’re confused about the next steps? Don’t be; keep reading.
There are a plethora of survey analysis report examples to guide you in your data storytelling. Besides, you’ll access additional tips shared and used by a community of thousands of data visualization experts.
These tips do work, as you shall establish later. So whether you’ve just conducted your first survey or you’re a seasoned data visualization expert, we hope you’ll derive incredible value by knowing about the ChartExpo data visualization library.
In this blog you will learn:
Definition: A Survey Analysis Report is a document that presents the results of a survey, analyzing the collected data to identify patterns, trends, and insights. It summarizes responses, highlights key findings, and provides actionable conclusions to support data-driven decision-making.
A Survey Analysis Report is important because it transforms raw survey data into meaningful insights. It helps identify trends, understand customer or employee feedback, and uncover areas for improvement.
By providing clear, data-driven conclusions, it enables businesses and organizations to make informed decisions, enhance strategies, and measure progress effectively.
Provides an overview of the survey’s purpose, objectives, and scope, explaining why the survey was conducted and its intended outcomes.
Details of how the survey was conducted, including the target audience, sample size, distribution channels, duration, and data collection methods to ensure transparency.
Highlights the major insights and trends discovered from the survey responses, focusing on the most critical data points that answer the survey objectives.
Incorporates charts, graphs, and tables to visually represent the survey results, making complex data easier to understand and analyze at a glance.
Provides a thorough explanation of the survey data, identifying patterns, correlations, outliers, and key insights to draw meaningful conclusions.
Compares current results with past surveys or benchmarks to identify changes, trends, or progress over time.
Summarizes the survey findings and offers actionable recommendations to address issues, capitalize on opportunities, or improve processes.
Discusses any challenges, such as small sample size, bias, or incomplete responses, that may have affected the survey results.
Includes additional data, raw survey responses, survey questions, or supporting materials for reference to ensure comprehensive reporting.
Review your survey responses to identify and fix errors such as incomplete, duplicate, or irrelevant entries. Removing inconsistencies ensures the data is accurate and reliable for analysis.
Structure the data into a clear and logical format, such as a spreadsheet, with proper labeling for rows and columns. Well-organized data makes the analysis process faster and more efficient.
Group similar responses, especially from open-ended questions, into categories or themes. This step simplifies qualitative analysis and helps identify key patterns and insights.
Assign numerical values or codes to qualitative or categorical responses. Coding enables statistical analysis and helps you interpret large datasets more effectively.
Remove data that does not align with the survey objectives. Filtering out irrelevant responses ensures you focus only on valuable insights that support decision-making.
Review survey responses to identify incomplete, duplicate, or inconsistent entries. Remove errors and irrelevant data to ensure accuracy and reliability for analysis.
Structure the data into a logical format, such as a spreadsheet, with labeled rows and columns. Proper organization makes it easier to navigate and analyze.
Group open-ended and qualitative responses into categories or themes. This step simplifies analysis and helps uncover meaningful patterns or trends.
Assign numerical codes to qualitative responses or categorical data. Coding allows for statistical analysis and helps streamline data interpretation.
Eliminate responses or data points that do not align with the survey’s goals. Focusing on relevant data ensures the analysis remains clear and actionable.
The most recommended charts for visualizing data, as recommended by seasoned data visualization experts, include:
A Likert scale is also known as a bipolar scale, which means that it consists of two opposing poles. You can use this chart to measure the intensity of feelings, opinions, and attitudes towards a subject matter.
A Likert Scale Chart visualizes how much a respondent agrees or disagrees with a particular statement. The scale assumes that the strength and intensity of the feelings are linear. More so, it goes from a complete disagreement to a complete agreement.
The questions in the Likert scale range from general to even more specific topics. Besides, this chart is straightforward, so you can easily gain insights from just a glance.
The Likert Scale is one of the most used charts in visualizing survey data. Check out the second-most used visualization chart below.
NPS chart gives a complete picture of the user’s opinion from textual information. The whisker box represents the score.
You can deploy this chart to visualize your survey data with full confidence. Besides, this chart is straightforward to read and understand. So your audience won’t end up being confused when you incorporate it in your data story.
A CSAT Score Bar Chart visually represents Customer Satisfaction (CSAT) scores, making it easy to analyze customer feedback. Each bar indicates the percentage of satisfied, neutral, or dissatisfied customers, helping businesses quickly identify trends, measure satisfaction levels, and pinpoint areas for improvement. It is ideal for tracking changes in customer satisfaction over time or across different segments.
To access Likert or, Net Promoter Score (NPS), you must install ChartExpo, a cloud-hosted add-on. Remember, you won’t be installing anything on your device.
You’ll be installing a cloud-hosted add-on on your Google Sheets.
There are two methods for installing the ChartExpo add-on for Google Sheets.
The first method is to visit the Google Workspace Marketplace and enter “ChartExpo” into the search bar.
Imagine you run a business that deals with electronics. You want to understand the aspects of your product benefits that attract your target audience.
To tailor your sales messages to align with what customers are looking for, you administer a survey with a couple of questions and respective ratings using a 10-point Likert scale or other Likert scale.
The table below represents the sample survey responses.
| Question | Rating | Count |
| Overall I think the product was a good purchase. | 1 | 178 |
| Overall I think the product was a good purchase. | 2 | 76 |
| Overall I think the product was a good purchase. | 3 | 66 |
| Overall I think the product was a good purchase. | 4 | 35 |
| Overall I think the product was a good purchase. | 5 | 157 |
| The product does what it claims. | 1 | 75 |
| The product does what it claims. | 2 | 24 |
| The product does what it claims. | 3 | 89 |
| The product does what it claims. | 4 | 377 |
| The product does what it claims. | 5 | 348 |
| The product is affordable. | 1 | 240 |
| The product is affordable. | 2 | 26 |
| The product is affordable. | 3 | 144 |
| The product is affordable. | 4 | 152 |
| The product is affordable. | 5 | 281 |
| The product is easy to use. | 1 | 254 |
| The product is easy to use. | 2 | 164 |
| The product is easy to use. | 3 | 283 |
| The product is easy to use. | 4 | 26 |
| The product is easy to use. | 5 | 105 |
Let’s visualize the survey data above. Likert is the relevant chart to use in this scenario.
Note: The red color represents detractors (negative reviews) while the green color represents promoters (positive reviews).
Check out the ratings of the survey questions below:
Congratulations if you’ve committed to putting the tips you’ve learned so far into practice. Let’s jump to the next chart suited for visualizing survey data.
Imagine you run an e-commerce store, and you want to know the level of customer satisfaction among the existing customers. Let’s say you’ve commissioned an online survey to gather their sentiments.
The table below represents sample survey data. Let’s use this data for practical demonstration purposes.
| Question | Rating | Count |
| Would you recommend our e-commerce store? | 0 | 2207 |
| Would you recommend our e-commerce store? | 1 | 3223 |
| Would you recommend our e-commerce store? | 2 | 3874 |
| Would you recommend our e-commerce store? | 3 | 2947 |
| Would you recommend our e-commerce store? | 4 | 2638 |
| Would you recommend our e-commerce store? | 5 | 2222 |
| Would you recommend our e-commerce store? | 6 | 2779 |
| Would you recommend our e-commerce store? | 7 | 3419 |
| Would you recommend our e-commerce store? | 8 | 4683 |
| Would you recommend our e-commerce store? | 9 | 5621 |
| Would you recommend our e-commerce store? | 10 | 5410 |
Insights
How easy was this?
An NPS chart is very simple and easy to use to derive insights. It gets better. There’s one more chart that’s also minimalistic in design and simple in appearance.
Let’s dive in without wasting time.
Imagine you want to know how your customers rate various aspects of your business, namely:
The aforementioned issues form the core of your sales funnel. This means you want to correct problems that may affect them to create a seamless user journey. Let’s use the data below as our sample exercise.
We’ll use an NPS to visualize the survey data.
You must know that the rating of this chart should be considered as:
| Topic | Rating | Count |
| Product | 0 | 50 |
| Product | 1 | 50 |
| Product | 2 | 450 |
| Product | 3 | 90 |
| Product | 4 | 450 |
| Product | 5 | 650 |
| Product | 6 | 950 |
| Product | 7 | 1050 |
| Product | 8 | 350 |
| Product | 9 | 1750 |
| Product | 10 | 1650 |
| Services | 0 | 250 |
| Services | 1 | 55 |
| Services | 2 | 50 |
| Services | 3 | 90 |
| Services | 4 | 450 |
| Services | 5 | 650 |
| Services | 6 | 950 |
| Services | 7 | 1050 |
| Services | 8 | 350 |
| Services | 9 | 75 |
| Services | 10 | 550 |
| Delivery | 0 | 250 |
| Delivery | 1 | 550 |
| Delivery | 2 | 40 |
| Delivery | 3 | 950 |
| Delivery | 4 | 540 |
| Delivery | 5 | 650 |
| Delivery | 6 | 950 |
| Delivery | 7 | 100 |
| Delivery | 8 | 350 |
| Delivery | 9 | 1750 |
| Delivery | 10 | 550 |
| Customer care | 0 | 1250 |
| Customer care | 1 | 550 |
| Customer care | 2 | 450 |
| Customer care | 3 | 950 |
| Customer care | 4 | 450 |
| Customer care | 5 | 1650 |
| Customer care | 6 | 950 |
| Customer care | 7 | 1050 |
| Customer care | 8 | 350 |
| Customer care | 9 | 1750 |
| Customer care | 10 | 2550 |
| Packing | 0 | 1250 |
| Packing | 1 | 550 |
| Packing | 2 | 450 |
| Packing | 3 | 950 |
| Packing | 4 | 450 |
| Packing | 5 | 650 |
| Packing | 6 | 950 |
| Packing | 7 | 1050 |
| Packing | 8 | 350 |
| Packing | 9 | 1750 |
| Packing | 10 | 2550 |
Note: the points are not expressed as a percentage.
Note: the practical way to gauge your performance accurately is benchmarking using the industry standard. Some industries generally have bad review ratings and some have good.
A survey analysis report transforms raw data into meaningful insights, helping businesses make informed decisions based on customer, employee, or stakeholder feedback.
By analyzing the data, the report uncovers trends, behaviors, and patterns, enabling businesses to understand changes over time and predict future outcomes.
The insights from the report guide strategic planning and decision-making, helping organizations refine processes, improve products, and enhance customer experience.
A well-organized survey analysis report communicates findings clearly to stakeholders, ensuring alignment and a shared understanding of the results.
The report helps evaluate performance against set goals and benchmarks, highlighting areas where the organization excels or needs improvement, ultimately driving growth and optimization.
Ensure that your report has clear objectives from the start. Understand the purpose of the survey and what insights you aim to gather, so the analysis stays focused and relevant.
Use charts, graphs, and tables to visually present data. This helps make complex information easier to understand and highlights key trends and patterns.
Present the findings clearly and concisely. Avoid overwhelming your audience with unnecessary details and focus on key insights that drive actionable decisions.
Don’t just present raw data interpret it. Explain what the data means, why it matters, and how it relates to the survey objectives, offering valuable insights for decision-making.
Conclude the report with actionable recommendations based on the findings. This guides stakeholders in addressing challenges, capitalizing on opportunities, and improving processes.
To analyze a survey, clean and organize the data, categorize responses, calculate key statistics, identify trends, visualize with charts, and interpret the results to draw conclusions and recommendations.
Creating a survey analysis report example does not have to be time-consuming and mentally draining. And this is because it’s a critical component of survey data storytelling.
With ChartExpo, your surveys will never be a problem. Besides, you can sit, relax and craft a compelling data story without worrying about the charts.
ChartExpo produces beautiful and easy-to-read charts that complement your story seamlessly. This highly affordable tool helps you craft a compelling survey data story using its minimalistic and simple charts.
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