How to Filter and Compare Results (Segmenting and Cross-Analysis)

These features allow you to separate your project results into smaller, more digestible, sets of information. There are six rules by which you can break down these results:

Filter Type Description
Question Filter or compare based on answer selections.
Respondent Filter or compare based on custom respondent data.
Domain View or compare results based on the domain respondents are referred from.
Date Filter or compare data based on response dates.
Location Filter or compare based on respondent locations.
Completion Choose to filter by or compare Complete and Incomplete responses.


Use filters to limit the sets of information you can view in your project results.

  1. Go to the Results section
  2. Open ‘Filters and Comparisons’ in the sidebar
  3. Click the ‘Add Filter’
  4. Select a filter option from the drop-down list
  5. Click ‘Next Step’
  6. Input the additional rules for the filter
  7. Click ‘Save Filter’

Once you have applied a filter, you will see it listed beneath the ‘Filters’ element in the sidebar.

Applying Multiple Filters

It is possible to apply multiple filters to your project results. You simply need to follow the same process as above to accomplish this, and you’ll see your second filter appear below your first in the sidebar.

You will also be given two options that determine HOW these filters should interact:

  • Match Any
  • Match All

Match ANY

This option will filter all respondents that correspond to ANY of the filters you apply.

E.g. Age: 18-24 and Age: 25-30

This match will show all respondents who chose either the 18-24 answer option or the 25-30 option.

Match ALL

Use this to view respondent data for those who correspond with ALL your applied filters.

E.g. Sex: Male, Age: 25-30, Location, New York

Note: Applying two conflicting filters will cause your results to disappear, e.g. Age: 18-24 with Age: 25 will show no results, as a respondent couldn’t have chosen both options.


This feature is also referred to as Cross-Analysis. It allows you to compare two filtered sets of data side-by-side throughout your report.

For example, if you asked your respondents for their age, you can compare answers from these age groups for each question you asked.

Mixing Filters and Comparisons

It can be difficult to control the entire respondent population that participates in your project. By mixing Filters and Comparisons, you can narrow the scope of your Quick Report to a group, or groups, within the total population.

E.g. You may only be interested in the answer choices of 18-24 years old and 25-30 years old. Therefore, you can apply the necessary filters for the age groups, then set up a comparison between them for a side-by-side contrast.

To do this:

  1. Apply filters of your choice
  2. Apply a comparison that correlates with those filters
  3. Do NOT delete the ALL DATA comparison