Weekly Technical Support Metrics Summary

Track and analyze key technical support performance indicators including ticket volumes, response times, resolution rates, and customer satisfaction to ensure efficient support delivery and maintain service quality standards.

Report Objective

Monitor and evaluate technical support team performance across key metrics including ticket volumes, response times, resolution rates, and customer satisfaction. Identify trends and patterns to optimize support operations and maintain high service quality standards.

Ticket Volume and Response Times

Line chart showing weekly ticket volume trends with response time overlay

Questions to Consider:

2024-12-012025-01-012025-02-01week_date300310320330340tickets_createdtickets_createdHow is Weekly Ticket Volume Trending?Weekly ticket volume with week-over-week comparison
  • What is the week-over-week change in ticket volume?

  • Are there any seasonal patterns in support demand?

  • How does current volume compare to capacity planning?

  • How do current response times compare to SLA targets?

  • What is the trend in first response times?

  • Are there specific periods where response times spike?

2024-12-012025-01-012025-02-01week_date1820222426first_response_minutesfirst_response_minutesAre We Meeting Response Time Targets?Average first response and resolution times by week

Support Categories and Resolution Times

Bar chart showing distribution of tickets by category with resolution times

Questions to Consider:

Power SuppliesCircuit BoardsTest EquipmentSensorscategory05001,0001,5002,0002,500sum(ticket_count)sum(ticket_count)Which Product Categories Need Most Support?Distribution of tickets and resolution times by category
  • Which categories generate the most support tickets?

  • How do resolution times vary by category?

  • Are there opportunities to reduce support needs in high-volume categories?

Team Performance and Customer Satisfaction

Bar chart showing support team performance metrics by level

Questions to Consider:

  • How is workload distributed across support levels?

  • Are resolution rates meeting expectations?

  • Do we have appropriate staffing at each level?

L1L2L3technician_level05001,0001,500sum(tickets_handled)sum(tickets_handled)How is Support Team Performance by Level?Tickets handled and resolution rates by support level

2024-12-012025-01-012025-02-01week_date4.24.24.34.3customer_satisfactioncustomer_satisfactionHow Satisfied Are Our Customers?Weekly customer satisfaction scores trend
  • What is the trend in customer satisfaction scores?

  • Are we maintaining our target satisfaction levels?

  • How do satisfaction scores correlate with response times?