Understanding your survey results
As soon as employees submit their responses to a survey, survey admins will be able to see survey analytics once the number of responses satisfies our anonymity threshold. We offer several views to help you discover insights about your people and organization.
Before you start
- Multiple choice questions cannot be exported.
- Only agree/disagree scale questions (with or without comments) will be available in the heat map.
- The Compare option is only available for agree/disagree scale questions (with or without comments).
Learn more about survey analytics:
Filtering through an attribute
The filter bar at the top of the Results page allows you to filter your results by user attribute, including custom attributes.
You can stack filters for different fields on top of each other to get to the exact data cut you want. For example, stacking Gender: Female and Department: Engineering will show responses from all the women in the engineering department.
Within one field, selecting multiple options (E.g. Choosing both R&D and Marketing from the Department field) will show employees who match one OR the other filter.
Once a filter is applied, you'll also be able to see the delta column/toggle, which shows how the filtered group of responses compares to the overall survey score.
Filtering through performance metrics
Similar to filtering by a department, you can drill down into multiple different directions to unlock insights into how employee performance connects to employee engagement. By filtering through rating questions from a specific review cycle, you answer questions such as:
- Do employees who rate their managers highly actually more engaged?
- Are employees who are rated highly by peers more engaged or not?
- Does a performance gap between the manager and reviewee (manager rated the employee lower than what the reviewee thought they were) have an impact on engagement?
To start uncovering these data insights select Filter responses > Review Cycles and then select desired performance metrics.
Exploring your results
You can examine your results by question or by theme, in either a list format or heatmap view.
The list view for both questions and metrics gives you a quick way to see how a group of responders is doing across all themes or questions.
Themes that include agree/disagree questions will include a Distribution bar that shows the breakdown of positive, neutral, and negative responses (in green, grey, and red respectively). To see a count of how many responders fell into each bucket, hover over each color in the bar to see the count.
Multiple choice questions will not count towards the Distribution bar. If a theme contains only multiple choice questions you will see a Distribution callout labeled Not available for this theme.
Agree/disagree questions will include a Distribution bar that shows the breakdown of positive, neutral, and negative responses (in green, grey, and red respectively) for the question. To see a count of how many responders fell into each bucket, hover over each color in the bar to see the count.
Multiple choice questions will include a gray Distribution bar that shows the breakdown of each response option. Each possible response option will be represented by a square within the distribution bar. To see a count of how many responders fell into each bucket, hover over the Distribution bar to see the count.
To drill into a particular question or theme to see the exact breakdown, click on the question or theme body, which will then take you to a view showing the exact breakdown of responses for that particular question or theme.
The heatmap view is best for comparing different groups of responders against each other across questions or themes.
Note: Multiple choice questions do not count towards the heatmap view.
Dropdowns: Group by
The Group by heatmap filter breakdown the heatmap into the groups you select.
For example, if you wanted to compare every department against each other, you will select Group by > Department.
While you're looking at a heatmap, you can apply filters to cut your data even further. For example, after group by department, if you want to see how women in each of your departments feel, add an overall filter for Gender: Female in the filter bar. The heatmap then shows just responses to the questions from women across each department.
Note: You cannot filter on the field that you are currently comparing. For example, if you are comparing across departments, you then cannot apply a Department: Engineering filter.
The Show drop-down allows you to view the Actual score for a group. This score is the true score for each grouping based on the filters selected.
If you are comparing a survey against itself, the Delta score is the comparison of the scores calculated from the people that match the Group by: or selected filters compared to all survey responders. For example, a delta score of -3 for a group indicates that their actual score is 3 points lower than the score for all survey responders.
A note about tenure and age
When grouping by Tenure or Age (based on the Start Date and Birthday default user attributes), the low range is inclusive, and the high range is exclusive.
For example, Tenure is grouped by 3-6 months, 6-12 months, 1-2 years, and so on. The 3-6 months range includes 3 months but not 6 months, whereas the 6-12 months range includes 6 months but not 12months.
If Sarah hits her 1-year tenure on November 24th, 2020, we will bucket Sarah to be in the 'Tenure = 1-2 years' based on today's date (December 2nd, 2020). Since on Dec 2nd, she is in the 1-2 year bucket, she's attached to that. Until she hits past her 2 years on November 25th, 2021. On November 25th, 2021, if the HR Admin views the Filter results, any of Sarah's responses will now only be shown now if the 'Tenure = 2-4 years' filter is selected.
If you are comparing a survey against another survey using the Compare dropdown or against itself via filters, the delta score shown is the comparison of the scores calculated from the people that match the filter compared to all survey responders. For more information on how scores are calculated, check out Understand Survey Score Calculation.