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Track your support team’s performance, understand ticket trends, and optimize your operations with TicketCord’s analytics.
Analytics dashboard is available on Basic plan and above.

Analytics Overview

The analytics dashboard provides insights into:

Ticket Volume

Track ticket creation and resolution trends

Response Times

Monitor how quickly tickets are handled

Staff Performance

See individual and team metrics

AI Insights

Track AI feature usage and effectiveness

Ticket Analytics

Volume Metrics

Trend Charts

View ticket volume over time:
  • Daily, weekly, monthly views
  • Compare periods (this week vs last week)
  • Identify peak hours and days
  • Spot trends and anomalies

Resolution Metrics

Staff Performance

Individual Metrics

Track each staff member’s performance:

Team Overview

  • Leaderboard by tickets handled
  • Comparison charts
  • Workload distribution
  • Coverage gaps
  • Week-over-week changes
  • Improvement tracking
  • Identify training needs
  • Recognize top performers

Category Analytics

By Ticket Category

  • Volume per category
  • Resolution time per category
  • Most common issues
  • Trending categories

Tags Analysis

  • Most used tags
  • Tag combinations
  • Resolution by tag
  • Tag trends

AI Analytics

AI analytics available on Pro and Enterprise plans.

Knowledge Base Performance

Auto-Routing Analytics

  • Tickets auto-routed
  • Routing accuracy
  • Category predictions
  • Routing time saved

AI Token Usage

Track your AI consumption:

Custom Reports

Creating Reports

1

Choose Metrics

Select which metrics to include
2

Set Date Range

Define the reporting period
3

Apply Filters

Filter by category, staff, priority
4

Generate Report

View or export the report

Export Options

Scheduled Reports

Scheduled reports are an Enterprise feature.
Automatically receive reports via email:
  1. Go to Analytics → Scheduled Reports
  2. Click Create Schedule
  3. Configure report content
  4. Set frequency (daily, weekly, monthly)
  5. Add recipients
  6. Save schedule

Dashboard Widgets

Customize your dashboard with widgets:

Arranging Widgets

  • Drag to reorder
  • Resize widgets
  • Hide unused widgets
  • Add custom widgets

Interpreting Data

What Good Looks Like

Taking Action

Based on analytics, consider:
  • High volume hours: Schedule more staff
  • Long resolution times: Review processes
  • Low AI accuracy: Improve knowledge base
  • Overloaded staff: Redistribute workload

Privacy & Data

Analytics are based on your ticket data:
  • Only you can see your analytics
  • No data shared between organizations
  • Aggregated metrics don’t expose PII
  • Data retention follows your plan

Need Help?

Questions about analytics? Join our Discord