> For the complete documentation index, see [llms.txt](https://guides.mangoapps.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://guides.mangoapps.com/admin-guide/analytics/overview-dashboard.md).
# Overview Dashboard
### Overview
The **Overview Dashboard**—also called **Engagement & Usage**—gives admins and decision-makers a complete picture of how employees are engaging with MangoApps. It consolidates metrics around users, adoption, collaboration, efficiency, learning, and culture so you can measure impact and optimize usage.
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### User Highlights
This section provides a snapshot of who is on the platform and how reachable they are.
**Total Network Users**: Active network accounts (excluding guests, system, deactivated, or deleted).
**Reachability & Login**: Breaks users into those who have logged in, those never logged in but still reachable (via email/SMS), and those unreachable (missing or invalid contact info).
**Guest Users**: Count of active guest accounts (excludes network/system/deactivated/deleted).
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### What is a System Account?
A **system account** in MangoApps is a **non-human user profile** created and used by the platform itself to perform automated or background tasks. These accounts are not tied to a real person and are generally invisible to end users.
Examples include:
* Accounts that **send automated notifications** or emails on behalf of the system.
* **Background processes** that log activity or handle integrations.
* Special service accounts provisioned internally for **technical operations**.
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#### Why Are They Excluded from Analytics?
Since system accounts do not represent actual people engaging with content, they are **excluded from all user-related analytics**:
* Not counted in **Total Network Users** or **Guest Users**.
* Not included in **Adoption scores**, **login sessions**, or **collaboration metrics**.
* Ensures reports reflect only genuine employee and guest engagement.
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### Time Filters and Data Refresh
The Overview Dashboard supports flexible **time frame filters** so you can analyze trends over the period that matters most. Options include **Last 1 week, Last 4 weeks, Last 12 weeks, Last 12 months**, or a **custom date range** (minimum 7 days, maximum 365 days). When you change the time frame, all graphs and metrics refresh automatically to show data only from that period.
A **“Last Updated” timestamp** also appears at the top of the dashboard, indicating when analytics were most recently refreshed (typically within the last 30 minutes).
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Time filters do **not** apply to the **User Highlights** section described above.
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### User Lifecycle Metrics
This section tracks adoption and changes in your user base over time.
**Network User Adoption Score**: Percentage of network users who engaged with content (view, react, comment, post) in the selected period.
**Adoption Trend**: Line graph of active users over time, showing engagement progress.
**Users Added**: Total new network users created in the domain.
**Guest Users Added**: New guest accounts created.
**User Deactivations**: Total users deactivated during the period.
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### Platform Utilization & Efficiency
Here you see how effectively employees are accessing and using MangoApps across devices.
**All Login Sessions**: Logins grouped by platform (web, iOS, Android, messenger, desktop).
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**Counting logic**:
* Each **distinct session** is counted, regardless of the device or platform.
* A single user can contribute multiple sessions (e.g., logging in from web, then iPhone, then Android counts as 3).
* Auto-expired sessions (due to inactivity) are still counted if they were initially established.
* Browser versions are ignored — sessions are grouped by platform (Web, iOS, Android, Desktop, Messenger).
* **Not unique**: This means the metric represents **total session activity volume**, not unique users.
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**App Downloads**: First-time app logins after installation on iOS or Android. Here, each user can only appear once (their very first login on iOS or Android).
**Look-Ahead Searches**: Predictive searches where users clicked a result.
**Deep Searches**: Full-content searches performed.
**SMS/Text Sent**: Number of texts sent through MangoApps.
**Reports Generated**: Admin or scheduled reports created.
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### Collaboration & Knowledge Sharing
This section highlights the content being created and how people are engaging with it.
**New Content**: Posts, updates, pages, wikis, and files created.
**New Files**: Uploaded documents, images, and videos.
**New Content Count**: Total new items published.
**New Content Contributors**: Unique users publishing or uploading.
**Total Reactions Count**: Number of likes/reactions given.
**Total Comments Count**: Number of comments and replies posted.
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### Automation & Process Efficiency
This section measures activity in workflows, trackers, forms, and tasks to show process automation.
**Workflow Actions Triggered**: Total actions executed by workflows.
**Active Workflows**: Workflows that ran at least one action.
**Entries Added**: New entries across all trackers.
**Active Trackers**: Trackers with new or updated entries.
**Submissions Received**: Total form submissions.
**Active Forms**: Forms that received at least one submission.
**Tasks Completed / Created**: Tasks finished or added across teams.
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Both **Active Workflows** and **Active Forms** metrics are **unique counts** of items that had at least one action/submission, not a total volume count.
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### Learning & Development
This section shows how employees are engaging with learning opportunities.
**Active Courses**: Courses with user activity (enrolled, in-progress, or completed).
**Course Assignments**: Number of assigned courses in the selected period.
**Training Time Spent**: Total hours spent completing courses.
**Course Completions**: Total courses finished.
**Learner Progress**: Breakdown of learners by Not Started, In Progress, and Completed.
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**Counting logic**:
* **Unique stats**: Active Courses and Learner Progress.
* **Total counts**: Course Assignments, Training Time Spent, Course Completions.
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### Culture Impact
This section captures recognition and feedback activities that shape organizational culture.
**Recognition Points Distributed**: Total Reward points given during the selected period.
**Recognitions Given**: Total count of recognitions awarded. This count is **not** unique.
**Surveys Created**: New surveys launched.
**Survey Invites Sent Out**: Users who received survey invitations.
**Survey Completions**: Users who submitted completed surveys.
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### Messaging & Communication
These insights allow administrators to monitor adoption, track engagement trends, and measure the volume of interactions across both Chats and Private Messages.
**Chat Analytics**
The Chats analytics suite tracks the velocity of real-time communication across one-to-one, ad-hoc, and team-based conversations.
* **Key Performance Metrics**: Admins can view the Total Chat Messages, Active Chat Conversations, and the number of Active Chat Users. A conversation is considered "active" if at least one message is sent within the selected timeframe.
* **User Engagement**: The active user count focuses on unique, human interactions by excluding system-generated users.
* **Trend Visualization**: A weekly bar chart, Chat Messages Over Time, allows admins to identify peaks in communication and long-term usage patterns. In these counts, each individual message and reply is recorded as a single unit.
**Private Message Analytics**
The Private Messages section provides a detailed look at more formal or directed communications, including single-recipient, multi-recipient, and system-generated notifications.
* **Activity Tracking**: Metrics cover Total Private Messages, Active Conversations, and Active Users within a specific date range. Even if a conversation thread was initiated in the past, it is captured in current analytics if a new message or reply is sent during the selected period.
* **System vs. User Data**: While the total message count includes automated system notifications, the Active Private Message Users metric specifically tracks unique human participants to provide an accurate representation of employee engagement.
* **Longitudinal Data**: The Private Messages Over Time chart organizes data into weekly buckets, making it easy for administrators to evaluate the impact of company-wide announcements or automated system workflows on overall messaging volume.
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Both sub-sections are designed to provide a consistent view of organizational health. All-time values are available alongside time-specific filters, ensuring that administrators can conduct both immediate pulse checks and long-term compliance audits.
* **Deleted User Retention**: To maintain historical accuracy, interactions from deleted users remain part of the aggregated message totals and trend charts.
* **Flexible Filtering**: Admins can adjust the time range to focus on specific initiatives or quarters, with charts automatically scaling to provide the most relevant data visualization
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