Weekly Office Equipment Technical Support Metrics Summary

Track and analyze technical support performance metrics for office equipment, focusing on ticket volumes, resolution times, customer satisfaction, and technician performance to ensure efficient service delivery and high customer satisfaction.

Report Objective

Monitor and evaluate the performance of technical support operations for office equipment, analyzing weekly trends in ticket volumes, resolution times, and satisfaction scores to identify areas for improvement and maintain service quality standards.

Ticket Volume and Resolution Metrics

Tracking weekly support ticket volumes and resolution times

Questions to Consider:

2024-12-012025-01-012025-02-01week110115120ticket_volumeticket_volumeHow are weekly ticket volumes trending?Weekly support ticket volume with 13-week trend analysis
  • What is the week-over-week change in ticket volume?

  • Are there any seasonal patterns in support requests?

  • How does current volume compare to historical averages?

  • Is there a correlation between resolution speed and satisfaction?

  • What is the optimal resolution time target?

  • Are there any outliers requiring investigation?

2.83.03.2avg_resolution_time4.04.04.04.14.24.2satisfaction_scoreHow are resolution times affecting satisfaction?Relationship between resolution time and customer satisfaction scores

Equipment Type Analysis

Distribution of support issues across different equipment types

Questions to Consider:

PrintersCopiersLaptopsWorkstationsequipment_type0200400600sum(ticket_count)sum(ticket_count)Which equipment types require the most support?Distribution of support tickets and resolution times by equipment type
  • Which equipment generates the highest support volume?

  • How do resolution times vary by equipment type?

  • Are there opportunities for preventive maintenance?

Technician Performance Review

Analysis of individual technician performance metrics

Questions to Consider:

  • Is workload evenly distributed among technicians?

  • Are there capacity constraints to address?

  • How does individual performance compare to team average?

JohnSarahMikeAlextechnician_name0200400600sum(tickets_resolved)sum(tickets_resolved)How is technician workload distributed?Comparison of tickets resolved per technician

technician_nametickets_resolvedsatisfaction_rating
John284.3
Sarah304.6
Mike324.1
Alex224.2
John274.4
Sarah314.7
Mike304.3
Alex264.6
John254.5
Sarah264.6
  • Which technicians consistently receive high ratings?

  • Are there opportunities for peer training and knowledge sharing?

  • How can we improve overall team performance?