The Usage Analytics page offers a centralized dashboard to monitor how AI agents are being used across the organization. It provides granular visibility into conversations, agent activity, and channel distribution — all of which help drive smarter decisions and operational insights.
Organization Usage Analytics view

Organization: Usage Analytics

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What You Can Track

This view gives you channel-wise and bot-wise breakdowns of:
  • Total number of questions and answers (Q&A) exchanged
  • Channel-specific traffic (e.g., Playground, Web, WhatsApp, Discord, API)
  • Which agents were most active
  • How usage has trended over time
📈 This data helps identify engagement hotspots, uncover underused channels, and optimize where your AI is delivering the most value.

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Filter Options

The left panel includes interactive filters to customize your analytics view.

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🗓️ Date Range

Select the timeframe you want to analyze:
  • All Time
  • Yesterday
  • Last 7 Days
  • Last 30 Days
  • Custom Range (using start and end dates)
Useful for comparing usage trends across months or analyzing spikes post-feature launches.

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AI Agents

Toggle visibility for each AI bot in your org:
  • Check or uncheck individual agents
  • Filter for active or offline bots
  • Use “Select All” or “Clear All” for convenience
Great for seeing which bots are driving the most engagement or are currently inactive.

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Channels

Analyze performance across different communication channels:
  • Website
  • Telegram
  • Discord
  • WhatsApp
  • API
  • Playground
You can include or exclude channels depending on your use case — for example, isolating API usage or comparing live chat vs web widget behavior.

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Interpreting the Results

Once filters are applied, the right panel will display visual summary cards for each channel. Each card shows:
  • Total Q&A count for that channel
  • A unified metric across all selected agents and date range

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Why It Matters

This page helps your organization:
  • Monitor real-time usage across all AI integrations
  • Diagnose drops or spikes in channel traffic
  • Audit agent activity across internal and public touchpoints
  • Allocate resources to channels with highest user interaction
  • Optimize content or responses where engagement is low
Whether you’re scaling support bots, tracking usage by department, or reporting engagement to stakeholders — this dashboard is essential for AI ops, QA teams, and product managers alike.