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Filtering by answers

Learn how to look for correlations between your answers

Updated over 4 months ago

Using Attest's powerful in-browser analytics, you can quickly look for correlations between responses. If you click on an answer that you care about, the results for all questions will update. That means that within the question (if it's not single choice) you'll see what these respondents have selected as well and you will see how they have responded to all other questions of your survey.

The average score from the whole panel for each answer will be marked by the vertical dashed line, while the orange out area represents how the group of respondents you selected replied to that question.

On the top right of the filter panel, you'll see in which questions you have answer filters applied. You can remove them by clicking on the "x" or clicking on the answer in the question again.

Keep in mind that for a single choice question, the other answers will become 0, as these users could only select one answer within that question.

You can select as many answers across as many questions as you want and the results will keep updating to reflect the responses of those respondents.

You can also layer these filters on top of demographic filters, or see how the demographic profiles change when you click these answer filters on.

What is the logic that is applied?

When you select multiple answers within one question, this will follow an OR logic . In the below example this means that you would be looking at how people that are interested in design & decoration OR Art & photography.

When you select multiple answers across different questions, this will follow an AND logic. In the below example you will be looking at the results for people that enjoy watching video content the most AND post image content the most themselves.

If you want to customize the logic, we recommend that you build out your own segments. You can learn more about how to create segments here.

If you have any more questions about interpreting your data, don’t hesitate to get in touch with our Client Experience team. 

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