If your survey gathers information about the respondents’ demographics in addition to other survey results, you may want to use that data as part of your analysis. ![]() Presenting survey results in a simplified categories goes a long way in making the chart easier to read. Take the five- and ten-point Likert and NPS scales and summarize them into simpler three-point scales (“disagree”, “neutral”, and “agree” or “positive”, “neutral”, and “negative”). With either of these scales, it’s helpful to summarize the results into coarser categories. ![]() It’s quick to make, and presents the proportion of responses in each category quite clearly. The 100% stacked bar chart is the simplest option for visualizing survey data from rating scale questions. The NPS is used to judge the willingness of a customer to recommend a product or service to others. Most commonly it comes in one of two forms: the Likert scale (“Strongly Disagree,” “Disagree,” Neutral, “Agree” and “Strongly Agree”) or the Net Promoter Score (NPS, ranging from 0 to 10). It's also popular for post event surveys, to gage how much people enjoyed the event. This type of question is often found on customer satisfaction surveys, used to gain an understanding of customer sentiment about a product or service. In a rating scale question, survey takers are offered a spectrum of possible answers and are asked to select an answer along that spectrum. Use a standard 100% stacked bar chart, color-coded to contrast the different responses, and sorted for readability. Or, forget about the extra notes and let the data speak for itself. This frees up some space to add better labels for both the “Yes” responses and the “No” responses. Don’t forget to label each bar with its percentage for clarity:įor a fun alternative that’s less information-dense, you can split up the bars to make a sort of modified 100% stacked bar chart. A bunch of aligned bars are much easier to compare than multiple pie charts. If you want to compare the response rates of multiple groups, skip the pies and go for a single bar chart. For the “Yes” responses, use a brighter, more saturated color and start the segment at 12 o’clock on the pie chart: Basically, just use a single pie slice to highlight the proportion of “Yes” responses compared to “No” responses. Using pies for binary results is pretty self-explanatory. If your survey questions offer two binary options (for example, “yes” and “no”), a pie chart is the simplest go-to option. ![]() binary, rating scale, multiple choice, single choice, or demographic results). Visualizing survey data effectively means using different types of charts for different types of survey results (i.e. Then, I’ll take you through some of the most popular types of survey results infographics, with some tips for how to make your results pop. So without further ado, let’s get into everything you need to know to make a survey results infographic.įirst, I’ll review some different types of survey charts that work for different types of survey data. They’re much more interesting than numbers plopped in a table, and they can help viewers latch on to key survey insights. Survey results infographics combine text, charts, and graphics to add a little pizzazz to your data. Survey data is easily translated into graphs and charts, making survey results and infographics the perfect marriage! Well, we all know that unique visuals like infographics can make charts and graphs more engaging. How can you present survey data in a way that won’t bore your audience to tears?
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