If you want to dive deeper into the results for a specific group of respondents based on demographics, such as females only, or those aged 18-24, you can use demographic filters on the results dashboard.
How to apply demographic filters
Click on the "Filter" button on the left-hand side panel. This will open a pop-up where you can see all the demographic filter options that are available for this survey. You can also combine multiple demographics and answers into a segment and define your own logic. You can read more about creating segments here.
When you've selected the filter you want to apply and clicked "save", your results will update to show the results for your selected demographics. You will also be able to still see the average score from the whole panel, which is represented by the vertical dashed line.
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. It is challenging to draw filtered conclusions on any sample size less than 100, so be sure to consider the filters you wish to apply to the data before you choose your initial sample size.
How to have more demographic filters options
The demographics shown on the filter panel are based on what you selected as targeting, and therefore are available for your entire sample. If you want to see more options, you can built a custom segment.
If you want to ensure more demographic information is collected for your entire sample, it's important you select these whilst setting up the audience for your survey. If certain demographic options aren't available for your audience, you can always include this as a question and use answer filters to filter your results.
Comparing results for different demographics
If you want to compare results for different demographics, you can do so by adding them as splits. This allows you to see various demographics in a chart or crosstab, compare them against each other, and see where there are statistically significant differences.
If you have any more questions please get in touch with our Customer Experience team.