IN THIS ARTICLE:
As an Admin, Analytics provides roll-up reporting for any given Pulse cycle. Any manager/ non-Admin user with direct reports can view Analytics for their down line if Manager Analytics have been enabled for the cycle. To view Analytics for Pulse, navigate to Analytics from the drop down in the top right corner and open Surveys. Click on Analytics next to the cycle of interest.
The top of your Analytics home page contains 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.
The Results tab displays all data for scaled, multi-choice, and NPS questions, grouped by question type.
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 in isolation.
Note: Any Slice or Filter you apply will carry over to any report you view. Click the "X" next to any applied slice or filter to remove it.
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 get these benchmarks enabled.
If you click Compare To and select a Pulse you've conducted previously, a pin will appear to represent the average response on that pulse for any item that you included on both that pulse and this pulse.
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 your Pulse.
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 each specific Scaled item that falls into each 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 themes 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. The panel on the left now reflects the additional themes that were detected in all comments tagged with the theme you have selected (e.g. Leadership).
You can also add or remove themes to any comment by clicking Edit Themes. Click the X on a theme to remove it or type in the text you would like to add. 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. Visually, the scores will be color coded from yellow to dark green, with yellow representing low scores and dark green representing high scores. When you first open the heat map, you'll be prompted to select a slice to begin.