Analytics Dashboard
User & Activity Analytics
Operational guide to interpret user growth, retention, concurrency, and feature adoption metrics in the Portal dashboard.
Use this dashboard to monitor acquisition, retention, concurrency load, and cross-feature adoption so you can prioritize growth levers and capacity planning.
Acquisition
Track new user inflow
Retention
Monitor returning vs inactive
Concurrency
Peak load insights
Feature Adoption
Cross‑usage patterns
Consumption
Usage for each module
Churn Risk
Identify inactivity early
KPI Overview (Main View)
Users created in selected period. % delta compares to prior equivalent period. Sudden spikes: evaluate campaign attribution; drops: audit funnel.
Interpreting Feature Overlap
Why It Matters
Why It Matters
Users engaging in multiple modalities (e.g., Chat + Video) typically have higher lifetime value.
Optimization
Optimization
If one feature shows low overlap, embed contextual entry points or cross-prompts.
Historical Trends
1
Select Range
Adjust date selector (e.g., last 30 / 90 days).
2
Concurrency Trend
Identify recurring daily/weekly peaks; align scaling schedule.
3
Monthly Table
Review active, churned (inactive), and resource consumption (video minutes, storage).
4
Pattern Flags
Look for divergence between active growth and returning stability (possible shallow engagement).
Core Metrics Definitions
| Metric | Definition | Use Case | Watch For |
|---|---|---|---|
| New Users | Accounts created in period | Acquisition tracking | Spikes without retention lift |
| Returning Users | Previously active & active again | Stickiness / engagement | Declining ratio vs total active |
| Inactive Users | Previously active; no activity now | Churn monitoring | Uptrend across consecutive periods |
| Concurrent Connections (Peak) | Max simultaneous connections | Capacity planning | Peak nearing infra limit |
| MAU MTD | Unique users active month-to-date | Month pacing | Flattening mid-month slope |
| Feature Overlap % | Users using multiple core features | Adoption depth | Low overlap vs benchmarks |
| Video Watch Minutes (FHD/HD/SD) | Minutes consumed by quality tier | Bandwidth & cost mgmt | Disproportionate FHD spike |
| File Storage | Total storage consumed | Cost forecasting | Sudden growth (unoptimized media) |
Leading Indicators & Actions
Inactive users rising week over week. Action: trigger lifecycle emails, in-app nudges.
Dashboards Operating Cadence
Daily
Daily
Check new vs returning, concurrency anomalies.
Weekly
Weekly
Trend inactive, overlap %, video quality distribution.
Monthly
Monthly
Cohort retention, capacity headroom, cost drivers.
Quarterly
Quarterly
Benchmark adoption vs product roadmap targets.
Troubleshooting
| Symptom | Possible Cause | Resolution |
|---|---|---|
| New Users spike; returning flat | Low first-week activation | Improve onboarding sequence & feature discovery |
| Concurrency plateau while new users grow | Session clustering / timezone pattern | Rebalance infra schedule; analyze session length |
| Inactive surge after release | Regression or UX friction | Review release telemetry & session error logs |
| Video minutes drop, storage rising | Incomplete uploads accumulating | Implement cleanup of failed uploads |
| FHD minutes sudden spike | Default quality forced high | Re-enable adaptive bitrate / CDN config check |
Related
Need additional custom metrics? Contact support to discuss extended analytics or data export options.