This guide will help you interpret the key data points within your Usage Report. These metrics are designed to give you a clear picture of how consistently your team is engaging with the platform, rather than just looking at a single snapshot in time.
The Core Charts
The top of your report features three primary charts. While each focuses on a different aspect of engagement, the most critical metric for understanding long-term stickiness is the Daily Active Rate.
1. Daily Active Rate (DAR)
The Daily Active Rate is a percentage that measures the consistency of user activity over a specific reporting period. Instead of just showing if someone used the tool, it shows how often they used it.
The Formula
To calculate this, we take the total number of days all users were active and divide it by the total possible days they could have been active.
(Total Active Days across all Users) ÷ (Total Users × Days in Period) = Daily Active Rate
Example Scenario:
Total Users: 100
Reporting Period: 30 Days
User Activity: 75 of those users logged in, and they each used the product for 25 out of the 30 days.
Calculation:
Total Actual Active Days: 75 x 25 = 1,875
Total Potential Days: 100 x 30 = 3,000
Result: 1,875 / 3,000 = 62.5%
Understanding 100% DAR: It is important to note that 100% is not a realistic target for most organisations. The calculation includes every calendar day in the period, meaning weekends, public holidays, and annual leave will naturally lower the percentage. For a standard Monday–Friday team, a "perfect" DAR would typically sit around 71% (5 out of 7 days).
Why this matters: A high DAR indicates that Peoplesafe has become a daily habit. If your DAR is low despite having many "Registered Users," it may suggest that users are only logging in for occasional tasks rather than daily workflows.
2. Feature Usage
The Feature Usage bar graph provides a breakdown of engagement with the 8 core features of the platform. This chart shows a simple cumulative count of how many times each feature was used by all users during your selected time frame.
What this chart tracks
Each bar represents one of our primary tools. Every time a user interacts with a feature—whether Checking In, Leaving a Voice Memo, or even using the Test Line - it is logged as a single "event."
How to interpret the data
Identify Most Used Features: The tallest bars show which features are most integrated into your team's workflow.
Spot Underutilised Tools: If a core feature has a significantly lower count, it may indicate a need for more team training or a change in process.
Compare with DAR: If your Daily Active Rate is high but certain features have low usage, it suggests your team is using the platform consistently but perhaps only for a specific subset of its capabilities.
3. Average Active Days
The Average Active Days chart shows the mean number of days your users are engaging with the platform during the selected period (e.g., a calendar month).
What is an "Active Day"?
An active day is recorded whenever a user’s device or application connects to our servers. This includes both manual logins and background syncs that occur when the app is opened.
How to read this chart (Monthly View)
This metric helps you understand the monthly rhythm of your team. Based on a standard 20-22 workday month:
High Average (15–22 days per month): The platform is a "core" tool. These users rely on the app for their daily primary workflows.
Mid-Range Average (4–10 days per month): These are "intermittent" users. They likely log in once or twice a week for specific tasks like weekly reporting or status updates.
Low Average (1–3 days per month): These are "occasional" users. They may only log in at the beginning or end of the month to perform a specific administrative action.
Pro Tip: If your Daily Active Rate is low but your Average Active Days is high (e.g., 18 days), it means you have a dedicated "power user" group using the app daily, while the rest of the organization rarely logs in.
The Detailed Usage Table
Below the charts, you will find a granular breakdown of activity. This table allows you to audit usage at the individual level, making it easy to identify your "Power Users" or those who may need additional training.
Table Columns Explained
The table is organized by user and categorized by team to help you filter your view.
Name & Team: Identifies the individual and their assigned team.
Feature Columns: Each of these columns represents one of the core features. The number shown is the total count of times that specific user interacted with that feature during the selected period.
Active Days: This final column totals the number of unique days the user’s device or application connected to the system.
How to Use This Data
This table is particularly powerful when used alongside the charts above:
| Goal | How to find it in the table |
|---|---|
| Identify Feature Experts | Sort by a specific Feature Column to see which user has the highest count. They are your internal "pros." |
| Monitor Team Adoption | Filter by the Team Column to see if an entire department is hitting their target Active Days. |
| Spot Low Engagement | Sort by Active Days (ascending) to see which users have not logged in recently and may need a nudge. |
Pro Tip: Exporting for Further Analysis
If you need to perform more complex calculations (like finding the average usage for just one specific team), you can export this table as a Excel file using the Export button at the top right of the report.