Understand Survey Analytics

As soon as employees start submitting their responses to a survey and (for anonymous engagement surveys) the anonymity threshold is met, survey admins can view survey analytics. Analytics contains several views to help you discover insights about your people and organization.

Learn more about survey analytics:

Use the filter bar at the top of the Results page to filter survey responses by fields.

Adding multiple fields will require submitters to meet both conditions, whereas applying multiple values within a single field will show submitters who meet either condition. For example, filtering Gender: Female + Department: Engineering will show responses from all the women in the engineering department. Filtering for Department: R&D + Department: Marketing will show responses from employees in either the R&D or Marketing department.

Save filters by creating a saved view.

Note: Want to analyze your survey results by employee data that isn't currently stored in Lattice? Create a custom field to store that data and then assign the relevant values to each employee's profile before you launch your survey. Once the survey ends, you'll be able to filter and sort by all of your custom fields. Common examples of useful custom fields include: region, parental status, recency of last promotion, and remote status.

Use the Compare dropdown to select a previous survey or Lattice benchmark to compare the current survey against.

Once a filter or saved view is applied, the Comparison score column will appear within the analytics table. This column indicates the difference between the company's current score and the previous survey or benchmark you selected. Users who have had a saved view shared with them can compare it with benchmarks or past surveys.

Learn more in Lattice Benchmarks for Engagement.

Results can be viewed by question or theme in list format or as a heatmap. Survey analytics default to the List view. In this view, you can see each theme and question, along with their associated scores. Clicking on a theme or question row will take you to its details.

The Themes section lists all themes in the survey.

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.

Multiple-choice and multiple-select questions will not count toward the Distribution bar. If a theme contains only multiple-choice or multiple-select questions, you will see a Distribution callout labeled Not scored.

The Questions section lists all questions in the survey.

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.

Multiple-choice and multiple-select questions will include a gray Distribution bar showing the response breakdown. A square within the distribution bar will represent each possible response option. To see how many responders fell into each bucket (multiple-choice) or the percentage chart (multiple-select), hover over the Distribution bar to see the count.

The Heatmap view compares different groups against each other across multiple questions or themes. It provides the most data in a single visualization. You can apply filters to further refine your data and compare specific employee groupings.

The Overall Score will be in the first row and will show for each field. The Overall Score can also be compared to show the delta. To do this, navigate to the Heatmap > Select Compare survey results > Compare this to the survey's overall score.

Adjust how your information is being presented by selecting Group by and choosing one of the following options:

You can apply additional filters to your data on top of your selected grouping.

Example:

In a survey, Sarah wants to see how women across each department responded to each theme. Sarah will need to:

Choose the grouping Group by: Department
​Filter by Gender: Female

The heatmap will show just responses to the questions from women across each department.

Note: You cannot filter the field you are currently comparing. For example, if you compare by departments, you cannot apply a Department: Engineering filter.

For identifiable surveys, admins and shared view owners can navigate to the Respondents tab to view an individual's survey score and comments by selecting the participant.