Home Features Multi-level filtering

What is multi-level filtering in surveys?

Multi-level filtering allows administrators to filter questionnaire responses by using data filters. You can filter your survey data based on various parameters such as question, custom variables, geo-location, email list code, survey status, date filter, device type, and language. You can set up filters based on the below.

Example of multi-level filtering in surveys

Consider an online software company that has surveyed to see the number of currently active users they have on their platform. They send the survey out to all the members in their database across various regions and license levels. Once the window to fill out the online survey has passed, they can look at the data and dive deeper into aspects that are of utmost importance to them. They can filter out respondents you have specifically answered ‘yes’ to their question - are you a current user of the platform. Upon further segmentation of that data, they can further figure out how many of these users are from which region and use which type of license.


Uses of multi-level filtering

Segmentation of data or applying multi-level filters helps you delve deeper into certain aspects of surveys that might be of huge importance. Organizations can get great insights by looking into what percentage of respondents responded in what way. This, along with other data segmentation, helps bring out maximum value from your questionnaires and plan future actions.

Advantages of creating surveys with multi-level filtering

How to use multi-level filtering in surveys

To use multi-level filtering in surveys, read our help files on how to set up multi-level filtering.