IN THIS ARTICLE:
To view Analytics for a Survey, navigate to Analytics and select Surveys & Pulses. Then, click Analytics next to the particular survey you would like to view.
This takes you to the Overview Report, which displays key details for your survey such as the overall score on the survey, the response rate, and the most and least favorable items on the survey.
You can click Survey Details to view additional information for the survey such as when the survey was conducted, who was invited to take the survey, and the questions that were asked.
If you are an Admin or if you are an Analyst for this survey, you will have visibility into survey data for the entire organization. By default, you will be viewing aggregate data for the entire organization, but you can change your view at any time using the Select a Team button. Click Select a Team and use the expandable menu to select the team you would like to view results for.
If you are a manager, you will have visibility into data for your down line, but not for the entire organization. Depending on your organization permissions, you may be able to view aggregate data for your upline managers' downline or for the organization overall. If you have the ability to view data outside of your downline, you'll be able to use the Select a Team button to navigate to that data.
The Results tab displays all data for scaled, multi-choice, and NPS questions, grouped by question type. For scaled agreement items, the default view is to show the percent of responses to that that were favorable (e.g., the percentage of responses that were agree or strongly agree on a 6-point Likert scale.)
You can view a complete breakout of responses by clicking All Favorability next to Chart Legend. This will show you the breakout of responses that were favorable, neutral (somewhat agree or somewhat disagree on a Likert scale), unfavorable (strongly disagree or disagree on a Likert scale) for every item. Or, you can click Neutral or Unfavorable to just view those responses.
You can click Average to view the average responses on the scale that you were using; (e.g., the average score out of 6 points for a Likert scale).
From the Results tab, you can view a breakout of your data by any demographic on record using the Slice By... button in the top left corner. Clicking Slice By... Department will display a range of how departments responded to each survey item. Click into the range for any given item to view how each department rated that item.
Use the Filter For... button to view data for any given department at a time. For example, clicking Filter For... Department and selecting the checkbox next to Sales will display data from the Sales team by itself.
Note: Any Slice or Filter you apply will carry over to any subsequent report that you view. Click the "X" next to any filter to remove it, and select Slice By: Remove Slice to un-slice your data:
Compare To/ Benchmark Capabilities
Clicking the Compare To button will allow you to select either a previous Pulse cycle for you to compare your current data to or compare your data to average responses for your industry or organizations that are the same size as yours. (We refer to these latter comparisons as "benchmarks").
If you don't see industry or same-size benchmarks available within the Compare To menu, contact your CSM to have these benchmarks enabled.
If you click Compare To and select a survey that you've conducted previously, a pin will appear to represent the average response on that survey for any item that you included on both that survey and the survey you're currently viewing results for.
If you click Compare To and select your industry, a data pin will drop to represent your industry's average result for every standard Quantum Workplace item that you've included in this survey.
The Categories tap displays all scaled items grouped into their respective categories. You can click the drop down on the right side to see which survey items make up a particular category. You can click the comments bubble on the left hand side to view comments associated with any given category. All categories can be expanded, via the arrow to the right, to show all of the survey items that belong to that category.
If you included either open-ended items or comment boxes on your survey, all free text responses to your survey will appear in the Comments report. All comments on Pulse Surveys that were launched on or after February 6, 2020 are automatically tagged with the predominant theme related to the workplace experience that our machine learning tool detects in them, such as "Communication", "Work-Life Balance", and "Leadership".
The left panel displays all themes that were detected in your Comments arranged by count (e.g. from highest to lowest frequency.)
From this panel, you can click on any theme to view all comments that were tagged with that theme:
You can also add themes of your own or remove the automated theme for any comment by clicking Edit Themes. Type in the theme you would like to add and click Save to add a theme. To remove a theme, click the X by the theme you would like to remove. You are not limited to adding one of the themes our software detects; you can add any text that helps you categorize your comments.
The Response Rate report shows the survey participation rate over time.
The heat map report provides a visual representation of how different groups within a demographic (e.g., departments) responded to scaled agreement items and categories on the survey. When you first open the heat map, you will need to select a demographic to slice your data by via the Slice By dropdown menu.
Visually, the scores will be color coded from yellow to purple, with yellow representing low favorability and purple representing high favorability.
Please note that the Heat Map Excel export is only available if the items on your survey include a category. All Quantum Workplace survey items (e.g. all items from the Items Library) automatically include a category, but if you have created your own survey items you will need to add a category to your items in order to export your Heat Map data into Excel.