Voice Analytics

Voice activity is the most undertracked metric in Discord communities —...

How It Works

1. Bot tracks voice join/leave events for all voice and stage channels
2. AFK detection filters out inactive participants (muted + deafened > 30 min)
3. Session tracking records individual session lengths per member
4. Peak hours chart shows when voice activity is highest across the week
5. Voice-text correlation reveals if voice users are also active in text
6. Stage channel analytics track speaker time, listener count, and event duration

What It Tracks

• Total voice hours per day/week/month
• Unique voice participants over time
• Average session duration
• Peak voice activity hours (hourly × daily heatmap)
• AFK detection and filtering (configurable threshold)
• Per-member voice time rankings
• Voice channel comparison (which channels get most use)
• Voice-text correlation (overlap between text and voice users)
• Stage channel analytics (speakers, listeners, duration)
• Voice session history per member

Use Cases

• Gaming servers scheduling game nights when voice activity peaks naturally
• Crypto AMAs measuring actual listener engagement vs just attendee count
• Education study groups tracking which sessions get the most participation
• Creator servers proving community engagement depth with voice-hour metrics

What's Included

Setup

1. Voice analytics requires the 'Connect' permission — ensure bot has it
2. Tracking starts automatically for all voice and stage channels
3. Dashboard → Voice shows aggregate and per-channel voice metrics
4. Configure AFK threshold: Voice → Settings → AFK timeout (default: 30 min)
5. View individual member voice profiles: Members → [member] → Voice tab

How It Compares

Frequently Asked Questions