Monthly Customer Service Level Analysis - Computer & Electronics Retail

Comprehensive analysis of customer service performance metrics including response times, resolution rates, channel effectiveness, and issue patterns to ensure high-quality customer support and identify areas for improvement.

Report Objective

Monitor and evaluate customer service performance across all channels, analyzing key metrics including response times, resolution rates, and customer satisfaction. Identify trends, challenges, and opportunities for service improvement in the computer and electronics retail context.

Service Level Performance

Analysis of core service metrics including customer satisfaction, first response time, and resolution rates

Questions to Consider:

Apr 2023May 2023Jun 2023month4.04.14.24.3customer_satisfactioncustomer_satisfactionHow are our key service level metrics trending?First response time, resolution rate, and customer satisfaction show monthly performance
  • Are there any concerning trends in customer satisfaction scores?

  • How do seasonal patterns affect our service levels?

  • What factors contribute to changes in satisfaction ratings?

Channel Performance Analysis

Evaluation of service level achievement across different contact channels

Questions to Consider:

  • Which channels are meeting or exceeding service level targets?

  • Are there specific channels requiring immediate attention?

  • How does channel performance align with contact volume?

PhoneEmailChatSocialchannel0.0%500.0%1000.0%1500.0%2000.0%sum(service_level)PhoneEmailChatSocialHow does service level performance vary by channel?Service level achievement across different contact channels

Issue Analysis and Resolution Efficiency

Review of common issues and resolution timeframes

Questions to Consider:

Technical SupportProduct InfoBillingReturnsWarrantyissue_type05,00010,00015,00020,00025,000sum(ticket_count)Technical SupportProduct InfoBillingReturnsWarrantyWhat are our most common customer issues?Distribution of ticket volume by issue type
  • Which issue types are most frequent and time-consuming?

  • Are there opportunities to reduce common issues through proactive measures?

  • How does issue complexity affect resolution time?

  • Which issues take longest to resolve?

  • Are resolution times improving or declining over time?

  • How do resolution times impact customer satisfaction?

Technical SupportProduct InfoBillingReturnsWarrantyissue_type0.050.0100.0150.0200.0250.0sum(avg_resolution_time_hours)Technical SupportProduct InfoBillingReturnsWarrantyHow efficient is our issue resolution process?Average resolution time by issue type

Focus Areas and Recommendations