Participant information and the new filter feature
With Usabilla it is easy to add additional information to your participants by adjusting the URL to your test. Adding this additional information just got a lot more useful, because we added filter options directly in the sidebar when you analyze your test.
Before I show you the filter options, I will quickly recap how you can alter URLs.
Adding information to participants with the test URL
Let’s say I want to be able to filter people based on whether they clicked on the link distributed via Twitter, or via Facebook. When I finish my test and activate it, I get a participate link, like this one:
I can add information to a participant by appending text to the URL he or she will click. The text is composed in the fashion
?Category=Information, and added directly at the end of the URL. For my example, I will distribute the following two URLs for the same test on Twitter and Facebook:
I can add more information by composing the URL as follows:
?Category=Information&Another_category=Information. I might want to send out a link at different times, and track that as well, for example.
This is a straightforward example, but combine this with forms that can send information in URLs and you have a lot of power at your disposal. Have a look at our post about integrating Wufoo forms with Usabilla to learn more.
Filter participant data in your sidebar
You find the filtering options in your participant sidebar when analyzing your test. If you don’t have any added testdata, you will only see the Usabilla-specific participant information (total points, total notes, and ID). These are handy to filter out someone who left a large number of points, for example.
In my example test I have an additional ‘Src’ and ‘Time’ category which I can use to filter. In the example below I show all participants that have the value ‘Twitter’ in the category ‘Src':
I can combine filters to my hearts content! Here I want all the people who followed the link that was send out via Twitter at 6pm (beware that I use dummy data for this example, hence the same participants show up):
We hope you like this just as much as we do. Don’t hesitate to let us know what you think!