Weekly Customer Service Feedback Report

Track and analyze customer service performance metrics and feedback trends to improve service quality, identify areas for improvement, and enhance customer satisfaction across all retail channels.

Report Objective

Monitor weekly customer service performance and feedback metrics across all retail channels to identify trends, address service gaps, and implement targeted improvements. This analysis focuses on customer satisfaction scores, response times, issue resolution rates, and feedback sentiment to maintain high service standards and enhance customer experience.

Customer Satisfaction Trends

Line chart tracking CSAT scores and response volumes over time

Questions to Consider:

2024-12-012025-01-012025-02-01week_date4.24.24.34.3csat_scorecsat_scoreHow is Customer Satisfaction Trending?Weekly CSAT scores show overall positive trend with recent improvement
  • What is the week-over-week change in CSAT scores?

  • Are there any concerning trends in customer satisfaction?

  • How do current scores compare to historical averages?

  • How has feedback volume changed over time?

  • Are there specific weeks with unusual feedback patterns?

  • What is driving changes in feedback volume?

2024-12-012025-01-012025-02-01week_date0100200300feedback_volumefeedback_volumeWeekly Feedback Volume DistributionFeedback volumes show seasonal patterns with peak during holidays

Issue Resolution Analysis

Bar chart showing resolution rates by issue type and average handling time

Questions to Consider:

Technical SupportProduct ReturnsBilling IssuesOrder Statusissue_type0%500%1000%1500%2000%sum(resolution_rate)sum(resolution_rate)Resolution Rates by Issue TypeTechnical support and billing issues show highest resolution rates
  • Which issues have the highest/lowest resolution rates?

  • Are there specific issue types requiring attention?

  • How do resolution rates compare across categories?

  • Which issues take longest to resolve?

  • Are there opportunities to reduce handling time?

  • How does handle time correlate with resolution success?

Technical SupportProduct ReturnsBilling IssuesOrder Statusissue_type0100200300400500sum(avg_handle_time)sum(avg_handle_time)Average Handle Time by Issue TypeWarranty claims and technical support require longest handling times

Channel Performance Metrics

Table comparing key metrics across service channels

Questions to Consider:

channelinquiry_volumeresponse_time
Phone7356.4
Email67116.5
Chat50417.7
Store61513.3
Social Media2056.9
Phone48010.2
Email64210.3
Chat1,11311.9
Store1007.0
Social Media8061.0
  • Which channels are most utilized by customers?

  • How do response times vary across channels?

  • Are there channels that need additional resources?