Filtering allows you to look beyond overall averages and explore how different groups of respondents answered your survey. In Attest, you can narrow results using demographics, answers, or custom segments, depending on what you want to understand.
Choosing which data to analyse
Before applying filters, you first decide which data you want to analyse. If your survey was sent across multiple waves or audiences, you can choose:
a specific wave or combination of waves
a specific audience or combination of audiences
This selection determines the base dataset you are working with. Filters are then applied on top of this data. Because of this, waves and audiences are best thought of as data selection rather than filters themselves.
Filtering by demographics
Demographic filters allow you to focus on respondents based on attributes such as age, gender, income, or region.
On results pages, demographic filters are applied from the Filter panel. Demographic filters are only available if those demographics were selected during audience setup. If a demographic was not collected for the survey, it cannot be used for filtering later.
Once applied, all results update to reflect only respondents who match the selected criteria. On the top left, you will also see the number of respondents that fit your filter criteria. Keep in mind that the more filters you apply, the smaller the sample you are looking at and the less statistically robust the results will be as a result.
Filtering by answers
Answer filters allow you to explore correlations between responses.
For example, you might want to see:
how people who selected a specific answer responded to other questions
how opinions differ among respondents who share a particular behaviour
You can apply answer filters in two ways:
by clicking directly on an answer in Overview view
by selecting answers from the filter panel
Once applied, results across all questions update to reflect only respondents who match the selected answers.
Answer filters can be combined with demographic filters, allowing you to explore how specific responses vary across different groups.
Using custom segments as filters
Segments allow you to define groups using multiple conditions and explicit logic.
Segments can combine demographics, answers to questions, audiences and waves.
Once created, segments can be used as filters in the same way as demographic or answer filters, or used as splits for comparison.
For step-by-step guidance, see Creating segments in analysis.
How filter logic works
The logic used when filtering depends on how filters are applied. When you select multiple answers within the same question, the logic is OR.
For example, respondents who selected Design & decoration or Art & photography.
When you select answers across different questions, the logic is AND.
For example, respondents who enjoy watching video content and regularly post images themselves.
If you need more control over logic, such as combining AND and OR conditions, creating a custom segment is usually a better option.
Filtering on boards
When working on boards, filtering is more flexible.
You can apply filters:
at the board level, which affects all charts on the board
at the chart level, which affects only a single chart
Filters on boards are applied using the filter icon. This allows you to create boards where different charts show different slices of the data, or where a shared filter controls all charts at once.
Filtering vs splitting
Filtering narrows the data to a single group. If you want to compare groups side by side, use splits instead. Splits allow you to compare demographics, segments, answers, or waves within the same chart or crosstab and see where there are statistically significant differences.
Filtering and splitting can be combined, but they serve different purposes:
filtering focuses the data
splitting compares groups
If you have any more questions don't hesitate to get in touch with your Customer Research Manager or reach out to us via the in-platform chat.