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Choosing how to visualise your results

This article explains the different options you have to display the results of your survey.

Updated today

Once responses start coming in, how you choose to visualise your data can shape how easily you spot patterns, compare groups, and communicate insights. The results dashboard offers several ways to view the same data, depending on what you are trying to understand.


Choosing which data to analyse

Before looking at visualisations, decide which responses you want to include.

If your survey was sent:

  • across multiple waves, or

  • to multiple audiences

you can choose to analyse:

  • a single wave or audience, or

  • aggregated responses across all selected data

By default, the overview shows results from the most recent wave and all audiences. You can adjust this depending on whether you want a point-in-time view or a broader picture.


How to view your results

Overview view

The overview is the default way to explore results. It simply shows all answer options and their results in our standard visualisation.

In this view, you can do a few things that you can't do on other views such as:

  • clicking on an answer to filter results to respondents who selected it

  • reviewing open text answers

The overview is useful for quick exploration, sense-checking responses, and working directly with raw results before creating comparisons or visual summaries.

Chart view

Charts are useful when you want to compare results visually or highlight differences clearly.

In chart view, you can:

  • switch between chart types such as column, bar, pie, stacked, or line charts

  • add splits to compare responses across demographics, segments, or waves

  • Edit your charts to make the viusalisation clearer or add your own brand colours

Charts are particularly effective for:

  • comparing groups side by side

  • tracking change over time

  • presenting results to stakeholders

Crosstab view

Crosstabs present results in a table format.

They are useful when:

  • you want precise comparisons across multiple variables

  • visual charts become too dense or hard to read

  • you need to analyse intersections between groups

Crosstabs can include the same splits as charts and are often used for deeper analysis rather than presentation.


Using splits across views

Both charts and crosstabs support splits, which allow you to break results down by:

  • demographics

  • answers to questions

  • segments

  • waves

  • audiences

Splits help you compare how different groups respond to the same question. The same split logic applies across both chart and crosstab views.


Page-level display settings

There are several page-level settings that affect how results are shown.

From the options menu, you can control:

  • whether results are shown as values, percentages, or both

  • how answers are ordered (for example by result or draft order)

  • how percentages are calculated when forwarded answers are used

  • which language results are displayed in for multi-language surveys

You can also apply a theme to charts to update colours consistently across a page.


Creating charts with Compass

In addition to creating charts manually, you can use Compass to help generate charts using natural language descriptions.

On Boards, you can describe what you want to see, for example:

  • a comparison between waves

  • a chart split by a specific demographic

  • a trend over time

Compass can then:

  • create charts based on your description

  • add them to a board

  • name and organise charts as part of a report

This can be a quick way to explore different views of the data or draft stakeholder-ready summaries.

As with all Compass outputs, it’s important to review the underlying charts and settings to ensure the visualisation matches your intent and uses the correct data and splits.

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