There is more to discover in your results than just seeing how people have responded to your questions. You can see how your results change over time, compare how different demographics have responded to your survey and look for relationships between questions. This article will explain how you can get the most out of your results dashboard.
Introduction to your results dashboard
The Results dashboard is designed to give you a quick overview of your survey results, but also to provide you with certain tools that are helpful to dive deeper into the data and discover interesting trends or patterns.
We’ll walk you through some of the key analysis functionality that we have on the dashboard, to help you kick start your analysis.
Splitting your data
Understanding how different groups of respondents have answered your survey and where they differ can be valuable for your business strategy. You might want to understand which social media platform would be more effective for a younger target audience, or see if there are any differences between how females and males responded to your creative test.
You can easily do this using the “split by” section on the left-hand side panel, which allows you to split your results based on segments, demographics, answers to questions, waves (to analyse your results over time) and audiences.
When a split is applied, the visualisation will default to "Chart”. There are a lot of options to edit your chart, such as various chart types, colour themes, switching axis etc. You can also select "Crosstab" for a table view. Crosstabs allow for an additional stacked variable to further split your data, offering deeper insights.
Identifying significant differences
By default, statistically significant changes are highlighted on your charts. You can adjust these settings or turn off significance indicators using the Statistical significance toggle at the bottom of the left-hand side menu.
Applying filters
On the top section of the left-hand side panel, you can apply filters for your survey. Start by selecting for which waves and audiences you want to analyse the data.
If you want to apply any other filters, you can do this by clicking on the “Filter” button which will open a pop-up with demographic filters, answer filters and any segments that you have created.
You will automatically see the number of respondents update, based on your applied filters. Keep in mind that the data shown on the charts is in percentage, but it’s important to sense check that your sample sizes are large enough to make any meaningful conclusions. Of course it’s very dependent on the type of question and the objective of your research, but as a general rule we don’t advise to draw conclusions from sample sizes that are lower than 50.
Creating segments
If you wanted to analyse (split by or filter) your data based on something more granular than simple demographics, you can build your own custom segments. A segment is a combination of two or more conditions, such as demographics, answers to certain questions, waves or countries. When creating a segment, you can also use more flexible AND/OR/NOT logic. Examples of segments could be: female millennials, non-brand buyers. online shoppers, etc.
Building boards
You can save any chart from the results dashboard to a board or create a board from scratch by clicking on “Boards” in the top navigation. Attest Boards allows you to build and save your own version of the results dashboard, with key insights that you want to come back to or share with others. On boards you can add charts, but also text cards and create custom charts such as funnels, so make sure to explore this feature.
Not sure where to start?
Why don’t you try out our new AI insights feature? AI insights is a powerful new feature designed to make data analysis faster and more intuitive. With just a few clicks, you can generate AI-powered insights that highlight key patterns, demographic differences, and areas for deeper exploration—without needing advanced analytical skills.
Note: This currently is only available for single audience surveys (in English).