Analytics Dashboard UI Guide
Overview
The Analytics Dashboard provides deep insights into your server's health and activity. Monitor member growth trends, message volume, user engagement patterns, channel usage, and configure alerts for anomalies or milestones. Track performance over time with flexible date range selection and exportable reports.
Overview Panel
Quick-glance metrics showing your server's current state at a high level.
Live Member Count
Current number of members in the server. Updated in real-time.
Shows total members plus percentage change from previous period for trend identification.
Messages Today
Total messages posted in the current day (resets at midnight UTC).
Compare with daily average to identify above/below-normal activity days.
Active Users
Number of unique members who posted or reacted in the last 24 hours.
Key engagement metric showing what percentage of members are active daily.
Growth Trend Chart
Visual sparkline showing member count trend over the selected date range.
Quickly spot growth acceleration, plateaus, or declines at a glance.
Daily Dashboard Check
Review the overview panel daily to catch activity anomalies early. Unusual message counts or active user dips might indicate issues.
Date Range Selection
Compare server metrics across different time periods. All charts and metrics update based on selected range.
Quick Presets
One-click preset date ranges for common comparisons:
- • 24h - Last 24 hours
- • 7d - Last 7 days (weekly)
- • 30d - Last 30 days (monthly)
- • 90d - Last 90 days (quarterly)
Custom Date Range
Select custom start and end dates for precise analysis. Calendar picker with date validation.
Useful for analyzing specific events, seasons, or comparing year-over-year data.
Comparison Mode
Compare two date ranges side-by-side. Visualize metrics from two periods simultaneously to spot trends and changes.
Analysis Strategy
Use 7-day and 30-day ranges regularly to spot patterns. Compare against year-ago data to account for seasonal variations.
Message Volume Analysis
Track how messaging patterns change over time with detailed visualizations.
Message Volume Over Time
Line chart showing daily message count trend. Identify activity peaks and valleys.
Hover over data points for exact counts. Spot seasonal patterns and growth trends easily.
Daily Average Message Count
Baseline metric showing average messages per day during the selected period. Use to identify above/below-average days.
Peak Activity Times
Identify which hours of the day see highest message volume. Helps schedule maintenance and announcements for optimal timing.
Message Growth Rate
Week-over-week or month-over-month growth percentages. Positive indicates growing engagement, negative indicates declining engagement.
Message Trends
Sudden message drops might indicate issues. Consistent growth indicates healthy engagement. Monitor trends to spot problems early.
Member Growth Metrics
Monitor how your community is growing over time with detailed membership analytics.
Member Growth Area Chart
Cumulative area chart showing total members increasing over time.
Steep curves indicate rapid growth; plateaus show stagnation; declines show member loss.
Daily New Members
Line chart showing how many new members joined each day. Identify recruitment surges and dry spells.
Member Churn Rate
Number of members leaving the server daily. Critical metric for understanding retention.
High churn with high growth still equals positive net growth, but suggests retention issues.
Net Member Growth
Daily net change (new members minus departures). True indicator of community health.
Retention Metrics
Percentage of members active after 1 day, 7 days, and 30 days of joining. Shows how well you retain new members.
Growth Goals
Focus on sustainable growth with good retention. Rapid growth with high churn isn't healthy. Aim for steady, sustainable member increases.
Activity Heatmap
Visualize when your community is most active with a day-of-week and hour-of-day heatmap.
Heatmap Visualization
Grid showing message activity by hour and day of week. Color intensity indicates activity level.
- • Light colors = Low activity
- • Dark colors = High activity
- • Easily spot peak times
Peak Hours Identification
Quickly identify when to schedule announcements, maintenance, or events for maximum visibility.
Low Activity Periods
Identify quiet times when you can perform maintenance, tests, or updates with minimal disruption.
Timezone Consideration
Times shown in UTC. Consider your community's timezones when interpreting peak hours.
Scheduling Strategy
Post announcements during peak hours for maximum engagement. Schedule maintenance during low-activity windows to minimize disruption.
Channel Usage Analytics
Analyze message distribution across channels to understand usage patterns.
Top Channels Bar Chart
Horizontal bar chart showing message count by channel. Identifies most-used channels.
Helps identify where community engagement is concentrated.
Channel Distribution Pie Chart
Shows what percentage of total messages each channel receives. Easy visualization of activity distribution.
Inactive Channels
Identify channels with little activity. Might be archived, repurposed, or need revitalization.
Channel Growth Trends
Track individual channel activity over time. See which channels are growing in popularity.
Channel Optimization
Balance activity across channels. If one channel dominates, consider splitting content or promoting other channels.
User Engagement Funnel
Visualize how members progress from joining to active participation.
Engagement Funnel Chart
Funnel visualization showing member progression:
- • Total members (top)
- • Members with messages (second level)
- • Active messagers (third level)
- • Core contributors (bottom)
Funnel Metrics
Conversion rates between funnel stages:
- • What % of members post at least once?
- • What % become regular/daily posters?
- • What % become core community members?
Drop-off Analysis
Identify where members disengage. High drop-off between joining and first message suggests onboarding issues.
Activation Rate
Percentage of new members who post at least once. Higher rates indicate better onboarding and welcome experience.
Engagement Improvement
Low activation rates suggest your welcome process or community guidelines may discourage new member participation. Consider improving onboarding.
Dimension Filters
Slice analytics data by different dimensions for focused analysis. All dropdowns use SearchableSelect.
Channel Filter
SearchableSelect to analyze metrics for specific channels only. Type to find channels quickly.
Role Filter
SearchableSelect to see analytics for members with specific roles. Compare engagement across role groups.
User Filter
SearchableSelect to focus on individual user activity. Investigate specific members if needed.
Multi-Filter Support
Combine multiple filters to analyze specific segments. For example: "Moderators + #general channel + last 7 days".
Filter Reset
Quick reset button to clear all filters and view full analytics. Return to unfiltered view with one click.
Advanced Segmentation
Use filters to compare how different groups engage. For example, compare message counts between verified vs. unverified members.
Data Retention Tier
Your server plan determines how far back historical analytics data is available.
Plan-Based Retention
Data retention varies by plan:
- • Free: 30 days of historical data
- • Pro: 90 days of historical data
- • Enterprise: 1 year of historical data
Retention Indicator
Dashboard shows how much historical data is available based on your plan.
Use this to understand how far back you can analyze trends.
Upgrade for Longer History
Upgrade your plan to access longer historical analytics. Useful for yearly trend analysis and long-term planning.
Plan Considerations
If you need year-over-year analysis or long-term historical tracking, enterprise plan with 1-year retention is valuable.
Data Export
Export analytics data for external analysis or archival purposes.
CSV Export
Download data in CSV format for spreadsheet analysis. Includes all selected metrics and date range.
Perfect for import into Excel or Google Sheets for further analysis.
JSON Export
Export raw data in JSON format for programmatic analysis or integration with other tools.
PDF Report
Generate professional PDF reports including charts and summaries. Shareable with community or stakeholders.
Scheduled Reports
Set up automated weekly or monthly reports emailed to you. Keep stakeholders informed automatically.
Reporting Best Practice
Export monthly reports for your own records. Share quarterly summaries with leadership to demonstrate growth and engagement trends.
Alert Configuration
Set up automated alerts to notify you of important metrics changes or milestones.
Threshold Alerts
Configure alerts when metrics cross defined thresholds:
- • Daily messages drop below X (identify low activity)
- • Member growth falls below X (identify churn)
- • Active users below X (identify engagement drop)
Milestone Alerts
Celebrate growth milestones. Get notified when you reach 1000, 5000, or 10000 members, etc.
Anomaly Detection
Automatic alerts when activity deviates significantly from normal patterns. Catch problems early.
Alert Notification Channels
Receive alerts via:
- • Discord DM to server owner
- • Dedicated alert channel in Discord
- • Email notification
Alert Customization
Set alert frequency (immediate, daily digest, weekly digest). Avoid alert fatigue while staying informed.
Alert Strategy
- • Set threshold for message count drops to catch activity issues
- • Enable milestone celebrations to recognize growth
- • Use weekly digest to avoid alert fatigue
- • Configure DM alerts for critical issues only
Best Practices
Analytics Monitoring Guidelines
- • Review analytics dashboard at least weekly to monitor health
- • Track message volume and active users to assess engagement
- • Use member growth charts to spot retention issues early
- • Check activity heatmaps to schedule content optimally
- • Compare channel performance to identify popular areas
- • Review funnel metrics to improve new member activation
- • Export monthly reports for historical tracking
- • Set up threshold alerts for critical metrics
- • Compare 7-day and 30-day trends to spot patterns
- • Use dimension filters to analyze specific segments
- • Celebrate milestones with the community
- • Address drops in engagement quickly with community events