Quarterly Office Equipment Technical Support Service Quality Review

Comprehensive analysis of technical support performance metrics including response times, resolution rates, and equipment-specific trends to ensure optimal service delivery and identify improvement opportunities.

Report Objective

Track and analyze technical support service quality metrics across all office equipment types, focusing on response times, resolution rates, and customer satisfaction. Identify trends and patterns to optimize support operations and improve service delivery.

Response and Resolution Performance

Time series analysis of support response and resolution metrics

Questions to Consider:

2024-11-012024-12-012025-01-01date51015first_response_time_minutes vs. resolution_time_hoursfirst_response_time_minutesresolution_time_hoursHow are response and resolution times trending?Average response times remain within SLA, though resolution times show some variability
  • Are there patterns in response time variations throughout the quarter?

  • How do resolution times correlate with response times?

  • What percentage of tickets meet SLA requirements?

Equipment-Specific Support Analysis

Distribution of support tickets by equipment type and resolution success

Questions to Consider:

  • Which equipment types show recurring issues?

  • How does resolution rate vary by equipment type?

  • Are there opportunities for preventive maintenance?

PrinterCopierScannerWorkstationNetwork Equipmentequipment_type01,0002,0003,0004,000sum(ticket_count)sum(ticket_count)Which equipment types generate the most support tickets?Printers and copiers account for majority of support requests

Technical Team Performance

Analysis of support team efficiency and effectiveness metrics

Questions to Consider:

4.06.08.010.012.014.0tickets_per_day65.0%70.0%75.0%80.0%85.0%90.0%first_time_fix_rate00How effective is our technical support team?First-time fix rates show improvement while maintaining steady workload
  • What is the relationship between workload and fix rate?

  • Are escalation rates impacted by daily ticket volume?

  • How can we optimize technician capacity?

Areas for Additional Focus