Weekly Customer Feedback Summary

Track and analyze customer satisfaction trends, feedback patterns, and issue resolution metrics across all communication channels to identify areas for service improvement and maintain high customer satisfaction levels.

Report Objective

Monitor and evaluate customer feedback metrics on a weekly basis to identify trends, assess service quality, and drive improvements across all communication channels. Focus on key satisfaction indicators, feedback volume patterns, and issue resolution effectiveness.

Customer Satisfaction Metrics

Trend analysis of key satisfaction metrics including NPS and CSAT scores

Questions to Consider:

2024-12-012025-01-012025-02-01week_date10.020.030.040.050.0nps_score vs. csat_scorenps_scorecsat_scoreHow are Customer Satisfaction Metrics Trending?Weekly tracking of NPS and CSAT scores shows overall satisfaction trends
  • What is the week-over-week change in satisfaction scores?

  • Are there any seasonal patterns in customer satisfaction?

  • How do current scores compare to historical benchmarks?

Feedback Channel Performance

Analysis of feedback volume and sentiment across different communication channels

Questions to Consider:

  • Which channels are receiving the most customer feedback?

  • How does sentiment vary across different channels?

  • Are there channels that need additional attention or resources?

EmailPhoneChatSocial MediaWeb Formchannel02,0004,0006,0008,00010,000sum(feedback_volume)sum(feedback_volume)How Does Feedback Volume and Sentiment Vary by Channel?Analysis of feedback distribution and sentiment across communication channels

Issue Categories and Resolution

Breakdown of customer issues and their resolution metrics

Questions to Consider:

Technical SupportProduct QualityBillingService DeliveryCustomer ServiceDocumentationissue_type01,0002,0003,000sum(issue_count)sum(issue_count)What are the Most Common Customer Issues?Distribution of issue types and their average resolution times
  • Which issues are most frequently reported by customers?

  • How do resolution times vary across different issue types?

  • Are there particular issues that require process improvements?

Areas for Further Investigation