Quarterly Technical Support Customer Satisfaction Review

Comprehensive analysis of customer satisfaction metrics across all support channels, focusing on key performance indicators including CSAT, NPS, resolution rates, and support efficiency metrics to drive continuous improvement in technical support services.

Report Objective

Track and analyze customer satisfaction metrics across all technical support channels to identify trends, areas for improvement, and successful support strategies. This quarterly review enables data-driven decisions to enhance customer experience and support team effectiveness.

Customer Satisfaction Trends

Line charts showing CSAT and NPS trends over the past 12 months

Questions to Consider:

Apr 2024May 2024Jun 2024month10.020.030.040.050.0csat_score vs. nps_scorecsat_scorenps_scoreHow are Customer Satisfaction Metrics Trending?CSAT and NPS scores show steady improvement over the past quarter
  • What are the key drivers behind changes in satisfaction scores?

  • Are improvements sustainable and significant?

  • How do scores vary across different customer segments?

Support Channel Performance

Bar chart comparing resolution rates and handle times across channels

Questions to Consider:

  • Which channels are most effective for different types of issues?

  • What practices from high-performing channels can be applied to others?

  • How can we improve resolution rates across all channels?

PhoneChatEmailSelf-servicechannel0.0%500.0%1000.0%1500.0%2000.0%sum(resolution_rate)sum(resolution_rate)How do Resolution Rates Compare Across Support Channels?Phone and chat channels show highest resolution rates

PhoneChatEmailSelf-servicechannel0200040006000800010000sum(average_handle_time)sum(average_handle_time)What is the Average Handle Time by Channel?Self-service shows lowest handle time, followed by chat support
  • How can we reduce handle times while maintaining quality?

  • What causes longer handle times in certain channels?

  • Are there opportunities to shift volume to more efficient channels?

Issue Categories and Resolution

Analysis of support tickets by category and resolution metrics

Questions to Consider:

  • Which issues should be prioritized for process improvement?

  • Are there opportunities for proactive support or self-service?

  • How can we better allocate resources across issue categories?

2,0004,0006,0008,00010,000sum(ticket_volume)20406080sum(average_resolution_time)TechnicalProduct SetupBillingReturnsAccount AccessGeneral InquiryWhich Issue Categories Require Most Support Resources?Technical issues represent highest volume and longest resolution times