> ## Documentation Index
> Fetch the complete documentation index at: https://learn.social.plus/llms.txt
> Use this file to discover all available pages before exploring further.
# Overview
> A single-page snapshot of network health — active users, content volume, MAU consumption, concurrency, and your most engaged communities.
The new Analytics Dashboard is a redesigned analytics experience with richer widgets, per-widget CSV export, and flexible date and audience filtering. While it rolls out, you can switch back to the legacy dashboard at any time using **Return to legacy view** in the sidebar.
The **Overview** page is the landing page of the new dashboard. It condenses your network's most important signals — user activity, content output, billable usage, and community engagement — into one scrollable view.
## Page controls
Every page in the new dashboard shares the same header controls:
Pick a preset (**Last 7 days**, **Last 30 days**, **Last 3 months**) or select a custom range from the calendar. All widgets update to the selected period.
Choose which widgets to include, then download their data as CSV. Each widget also has its own **Export CSV** button.
Every metric has a **More information** icon explaining exactly how it is calculated.
Each KPI card also shows a percentage change compared to the previous period of equal length (for example, a 7-day range is compared against the preceding 7 days), so you can immediately see whether a metric is trending up or down.
## Key metrics
Four KPI cards summarize the selected period:
| Metric | What it tells you |
| --------------------- | ---------------------------------------------------------- |
| **Active users** | Users who performed at least one action during the period. |
| **New users** | Accounts created during the period. |
| **Active user rate** | The share of your total user base that was active. |
| **Content published** | Posts published during the period. |
## Widgets
### User growth
A daily trend chart with three toggleable series — **Total users**, **Active users**, and **Net New / day**. Use it to correlate growth spikes with campaigns or releases, and to spot days where churn outpaced sign-ups (negative net-new).
### Activity by role
A donut chart breaking all activities in the period down by the role of the user who performed them — **Member**, **Moderator**, **Brand user**, **Admin**, and **Others**. A healthy community is typically member-driven; a high admin or brand share suggests organic engagement still needs seeding.
### Signed-in MAUs and Visitor MAUs
Two month-to-date charts tracking your billable usage as it accumulates:
* **Signed-in MAUs** — authenticated monthly active users.
* **Visitor MAUs** — anonymous visitors, with a separate **Overused visitors** series showing visitors who crossed the monthly fair-use threshold and are counted toward signed-in usage for billing.
Watch the slope of these charts through the month to anticipate where your billing cycle will land.
### Concurrent connections
Peak simultaneous connections over time. Use this for capacity planning and to confirm infrastructure headroom ahead of scheduled events or live streams.
### Top communities
A ranked table of your most active communities in the period, showing **Posts**, **Comments**, **Reactions**, **Users joined**, **Users left**, and **Post engagement rate** for each. It's the fastest way to see which communities are carrying engagement — and which are leaking members.
### Historical monthly usage
A month-by-month table of consumption for billing reconciliation, covering signed-in MAUs, visitor and overused-visitor MAUs, inactive signed-in users, video watch minutes by resolution (SD / HD / FHD), file storage, moderated content volumes (pre- and post-moderated images, text, videos), and video moderation duration. Export it as CSV to feed finance or capacity reports.
## Next steps
Growth, activation funnel, engagement depth, and cohort retention
Post volume, reach and impressions, and per-post performance
Per-community health, role composition, and drill-down trends
AI-powered topic detection, sentiment scoring, and summaries
Viewer engagement, watch time, and per-stream reports