Weekly Service Desk Performance Report

Track and analyze key service desk metrics including ticket volumes, response times, resolution efficiency, and customer satisfaction to ensure optimal technical support delivery for computer and electronics retail customers.

Report Objective

Monitor and evaluate the service desk's weekly performance across key operational metrics including ticket volumes, response times, resolution efficiency, and customer satisfaction. Identify trends and patterns to optimize resource allocation and improve customer service delivery.

Ticket Volume and Response Time Analysis

Line chart showing weekly ticket volumes and first response times

Questions to Consider:

2024-03-012024-04-012024-05-01week_date1,0501,1001,1501,200tickets_createdtickets_createdHow is Weekly Ticket Volume Trending?Track weekly support demand and identify patterns
  • What is the week-over-week change in ticket volume?

  • Are there any seasonal patterns in ticket creation?

  • How does current volume compare to historical averages?

  • Are we meeting our first response time targets?

  • How has response time changed with ticket volume?

  • What is causing any significant variations?

2024-03-012024-04-012024-05-01week_date12.014.016.018.020.0first_response_time_minutesfirst_response_time_minutesFirst Response Time PerformanceMonitor average time to first customer contact

Resolution Efficiency and Customer Satisfaction

Bar chart comparing resolution times and CSAT scores

Questions to Consider:

10.012.014.0resolution_time_hours4.24.24.34.34.3csat_scoreResolution Time vs Customer SatisfactionAnalyze relationship between resolution speed and CSAT
  • How does resolution time impact customer satisfaction?

  • What is the optimal resolution time for maximum satisfaction?

  • Are there clear satisfaction thresholds based on resolution time?

Ticket Category Distribution

Bar chart showing ticket distribution by category

Questions to Consider:

  • Which categories require the most support resources?

  • How has the distribution changed over time?

  • Are there opportunities for proactive support in high-volume categories?

HardwareSoftwareNetworkcategory02,0004,0006,0008,00010,00012,000sum(ticket_count)sum(ticket_count)Ticket Distribution by CategoryAnalyze support demand by issue type

Areas for Additional Focus