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Analytics

FeatureAvailability
Ticket AnalyticsFree, Unlimited
Feedback AnalyticsUnlimited

Ticketon provides comprehensive analytics to help you understand your support performance and user behavior.
Analytics are available for different time periods and can be filtered by category to give you granular insights.

The analytics dashboard provides nine different types of data insights:

  • Core Metrics - Essential overview of your ticket system
  • Ticket Volume - Detailed ticket creation and status trends
  • Category Performance - How different ticket categories are performing
  • Form Usage - Analytics on form submissions and usage
  • Response & Resolution Times - Performance metrics for support efficiency
  • Feedback Statistics - User satisfaction and feedback analysis
  • Schedule Performance - How your support schedule affects ticket creation
  • User Insights - Understanding your user base and behavior
  • Staff Performance - Individual staff member metrics

You can filter analytics by the following time periods:

  • 7 days - Last week’s performance
  • 30 days - Monthly overview
  • 90 days - Quarterly insights
  • 180 days - Half-yearly trends
  • 1 year - Annual performance
  • All time - Complete historical data

Core metrics provide the fundamental overview of your ticket system performance:

  • Total Tickets - All tickets created in your system
  • Open Tickets - Currently active tickets awaiting resolution
  • Closed Tickets - Successfully resolved tickets
  • Deleted Tickets - Tickets that were removed from the system
  • Average Response Time - How long it takes for staff to first respond to a user’s message
  • Average Resolution Time - How long it takes to close a ticket from creation
  • Resolution Rate - Percentage of tickets that have been successfully closed

Track ticket creation patterns and trends over time:

  • Daily ticket volume broken down by status (open, closed, deleted)
  • Visual chart showing ticket trends over the selected time period
  • Current week’s ticket count vs. previous week
  • Percentage change to identify growing or declining support demand

Understand how different ticket categories are performing:

  • Ticket Count - Number of tickets per category
  • Average Resolution Time - How long each category takes to resolve
  • Satisfaction Rating - Customer feedback scores per category
  • Most Active Category - Category with the highest ticket volume
  • Fastest Resolution Category - Category with the shortest resolution time

Track how your custom forms are being utilized:

  • Total Submissions - Number of form submissions in the selected period
  • Most Used Form - Form with the highest submission count
  • Form Usage Stats - Detailed breakdown of each form’s usage and associated categories
  • Times each form has been used
  • Categories where forms are most commonly submitted
  • Identification of unused forms

Detailed timing analytics to measure support efficiency:

  • Average times can be affected by outliers (extremely long resolution times)
  • Median times represent the middle value and are typically more accurate
  • Response and resolution times broken down by ticket category
  • Identify which categories need more attention or resources

Customer satisfaction and feedback analysis:

  • Total Feedbacks - Number of feedback submissions received
  • Average Rating - Overall satisfaction score (1-5 stars)
  • Rating Distribution - Breakdown of ratings from 1 to 5 stars
  • Average ratings and feedback counts per category
  • Recent feedback comments with ratings and timestamps

If you have support schedules configured, track their effectiveness:

  • Whether your support schedule is currently active
  • Busiest Slot - Time slot with the most ticket creations
  • Next Slot - Upcoming scheduled support time
  • Ticket creation counts for each scheduled time slot
  • Performance data to optimize your support hours

This section only appears if you have an active support schedule configured.


Understand your user base and their behavior patterns:

  • Unique Users - Distinct users who created tickets
  • Recurring Users - Users who have created tickets multiple times
  • New Users - First-time ticket creators in the selected period
  • Top Users - Users with the most ticket submissions
  • Users by Category - Distribution of users across different categories

Note: New and recurring user data is only available when a specific time range is selected (not “all time”).


Individual staff member analytics and performance tracking:

  • Tickets Handled - Number of tickets each staff member has claimed
  • Average Resolution Time - Individual resolution performance
  • Resolution Rate - Percentage of tickets successfully closed by each staff member
  • Average Satisfaction - Customer feedback ratings for each staff member
  • Top Performer - Staff member with the most handled tickets
  • Total Active Staff - Number of staff members currently handling tickets

  • Check core metrics weekly to maintain awareness of overall performance
  • Use median times instead of averages for more accurate performance assessment
  • Monitor resolution rates to ensure quality service delivery
  • Use ticket volume analytics to predict busy periods
  • Track category performance to allocate resources effectively
  • Monitor staff performance for training and recognition opportunities
  • Review feedback statistics regularly to identify areas for improvement
  • Use category-specific satisfaction data to focus improvement efforts
  • Address categories with consistently low satisfaction ratings
  • Use schedule performance data to adjust support hours
  • Analyze form usage to streamline the ticket creation process
  • Monitor user insights to understand your community’s support needs