It’s very disappointing to have your survey participants exit on the 4th page of a modest 5 page survey. So how can you make them stay? Simple, just give them an easy way of measuring their progress so they can get an internal estimate of the remaining time.
Here’s where the progress bar comes in. Adding a progress bar will give your participants the assurance they need to continue on to the next page without worrying about the length of the survey. This is especially useful for lowering participant fatigue on longer surveys with multiple pages.
To enable progress bars in your survey, go to the survey settings page and open the presentation tab. Now set the “Progress Bar” option to “Yes”.
You can even change the color of the progress bar to one of your choosing (the default color is blue). After enabling the progress bar, click the “Progress Bar” color box to open a color picker and select a color of your choosing.
Now our survey participants can finally gauge their progress.
We also released a quick video tutorial that shows you how to enable the progress bars.
As a compliment to the highly anticipated new question branching feature, we’ve decided to give you an easy way to hide question numbers. This is great for preventing participants from noticing gaps in the question numbers when certain questions are skipped as a result of the participant’s answer choice selections. It’s also useful for reducing participant stress and survey fatigue in situations when participants take especially long surveys with many pages and questions.
To hide the question numbers, just set the “Hide Question Numbers” option to “Yes” in the presentation tab of the survey settings page.
After saving your changes, the questionnaire will be presented without the question numbers.
You can also view the steps in our brief video tutorial.
This week we’ve released a new feature many of you have been patiently awaiting. You can now export or download your survey response data in a format that’s easy to import into SPSS (IBM’s data mining tool).
To take advantage of this feature just click the icon within the reports sidebar from any of your survey analytics pages.
Once the download is prepared, you’ll be prompted to save your downloaded file. After downloading, open the compressed zip archive and extract to a location on your local hard drive.
Now for the import to work properly, users will have to update the path of the CSV data file within the SPS import script. Fortunately, we’ve included a simple batch file in every downloaded archive that will automatically configure the SPS import script for windows users. Just double click the .bat file to automatically update your SPS script & launch SPSS (you may have to wait a few seconds for SPSS to open after the bat file finishes updating).
After SPSS launches and opens, click the green arrow or “Run Selection” button to import the data using the SPS script.
Now your survey response data is ready for analysis in SPSS.
Several days ago, we debuted a cool new feature that some of you may have curiously noticed in the lower right sidebar of the analytics totals and view results pages.
If you haven’t already found it, then go to your analytics totals page and scroll down to the “Filter” sidebar.
By clicking the icon, this will open a dialog that will allow you to configure the feature.
So what does it do?
This new feature lets you easily create condition based filters that will make the analytics pages and all of the reports filter results by only displaying responses from respondents that match your specified conditions.
Ok, now what does that mean?
Well simply put, this opens up a whole new world of measurement and analysis opportunity. You no longer necessarily have to rely on an external data mining application, such as IBM’s SPSS, to extract supplementary facts from your survey or poll’s response data. That’s because filters give you the ability to query your survey results and view responses from a segmented portion of your respondents in real time without the need for multiple surveys.
Over the coming weeks we’ll post some interesting walk-throughs with various examples to show you how to take advantage of response based filtering.