The fast, easy, and free way to perform advanced analysis on your survey data.
Analyze your survey data instantly. Simply connect your data source. SQL, databases, Excel, CSV, text, SPSS, survey platforms, APIs, integrations, and more – we’ve got your integration needs covered. Once your data is in there you can start creating customized reports.
Once your data is connected, the fun begins. With Displayr you can use advanced statistical testing to highlight key results. Summary tables? Crosstabs? Open-ended responses? Do it all.
Survey data changes. And now your reports can change with it. Take advantage of automatic updating and ensure your results are always up-to-date.
Follow the guided tour to learn more about analyzing survey data in Displayr. You’ll see how to create crosstabs, customize tables, and perform advanced analysis.
Connect your own data and start exploring. Once ready, you can publish a report or export it as an interactive dashboard.
Displayr is more than just a survey analysis tool. Once you’ve created your crosstabs and performed your advanced analysis, you can dive into the 100+ different visualization options to help tell your data story.
Exporting your report to PowerPoint is a breeze. Then you can connect your PowerPoint reports to your raw data so that when your results get updated, so do your visualizations. Automatic updating is perfect for time series data. Just build your PowerPoint report once then keep it up-to-date with fresh data. Instant and error-free.
There are many different stages that go into conducting a survey – from defining the goals and writing the questions, to distributing the survey and gathering responses. When we talk about survey data analysis, we’re talking about everything that happens after the data has been collected. It is the process of studying the collected data to find patterns, trends, and insights.
A survey analyzer – like what Displayr has built – helps researchers, marketers, and businesses make sense of their collected responses by organizing, summarizing, and interpreting data efficiently. It allows for automated updates, meaning that as new data comes in, results and reports refresh in real time. This is especially useful for longitudinal surveys, tracking trends over time without manual effort.
With modern tools, survey analysis is no longer just about spreadsheets. AI-powered analysis can identify hidden patterns in large datasets, helping businesses make data-driven decisions faster. Interactive dashboards and visualizations make it easier to communicate findings, whether through shareable reports, PowerPoint exports, or dynamic dashboards.
Whether you’re conducting customer feedback surveys, market research, or employee engagement studies, a survey analyzer like Displayr helps you extract valuable insights quickly and effortlessly.
Director, Satrix Solutions
What is the best way to analyze a survey?
There is no particular ‘best’ way to analyze a survey. Rather, there is only a best way to analyze the data from a specific survey. That being said, best practices such as cleaning your data, summarizing key metrics, and using statistical tests to identify significant results will be beneficial in most use cases.
What are some common tricks to avoid when analyzing survey data?
When analyzing survey data, it is best to avoid these common pitfalls:
What statistical tests are best for survey data analysis?
The best statistical tests depend on your data type and objectives:
Displayr’s survey analyzer makes running these tests simple, even if you’re not a stats expert.
What’s the difference between analyzing qualitative and quantitative survey data?
Although there are some similarities, dealing with qualitative or quantitative data will impact how you analyze your survey.
How do I analyze my survey data in Displayr?
Analyzing survey data in Displayr really is as simple as:
Displayr’s survey analyzer automates the hard parts, so you get insights instantly.
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