Understand Survey Analytics – Lattice Help Center

Understanding your survey results

As soon as employees start submitting their responses to a survey and 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:

View survey results

Navigate to Admin > Engagement > Surveys.
Click to select the engagement survey.
Navigate to the Results tab.

Filter your data

Default and custom fields

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 both Department: R&D + Department: Marketing will show responses from employees who match one OR the other filter.

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.

Compare

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 their saved view with benchmarks or past surveys.

Note: The Compare option is only available for agree/disagree scale questions (with or without comments).

Learn more in Lattice Benchmarks for Engagement.

List view

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

Themes

The Themes section includes a list of all themes included 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 questions will not count toward the Distribution bar. If a theme contains only multiple choice questions you will see a Distribution callout labeled Not available for this theme.

Questions

The Questions section includes a list of all questions included 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 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, hover over the Distribution bar to see the count.

Heatmap view

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 cut your data further to compare specific employee groupings.

Note: Multiple choice questions do not count towards the heatmap view.

Group by

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

Age
Gender
Tenure
Manager
Department
Performance review questions
Custom fields

Adding filters

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.