Quarterly Customer Experience Review - Apparel & Accessories Retail

Track and analyze key customer service metrics including satisfaction scores, response times, and issue resolution rates across channels to identify trends, challenges, and opportunities for improving the customer experience.

Report Objective

Provide a comprehensive quarterly review of customer service performance metrics and customer satisfaction indicators to identify trends, opportunities for improvement, and potential areas of concern in the retail customer experience.

Customer Satisfaction Trends

Track quarterly CSAT and NPS scores to understand overall customer sentiment and loyalty.

Questions to Consider:

2022-Q12022-Q12022-Q2quarter4.04.14.24.3csat_scorecsat_scoreHow are Customer Satisfaction Scores Trending?CSAT scores show quarterly progression with seasonal patterns
  • What is the quarter-over-quarter change in CSAT scores?

  • Are there any seasonal patterns in satisfaction levels?

  • How do current scores compare to historical averages?

  • How has NPS changed over recent quarters?

  • What factors might be driving changes in customer loyalty?

  • Are we meeting our NPS targets?

2022-Q12022-Q12022-Q2quarter01020304050nps_scorenps_scoreNet Promoter Score (NPS) PerformanceNPS trends indicate customer loyalty levels

Channel Performance Analysis

Compare resolution rates and volume across different support channels.

Questions to Consider:

EmailPhoneChatSocialSMSWeb Formcontact_channel0.0%500.0%1000.0%sum(resolution_rate)sum(resolution_rate)Support Channel Performance ComparisonAnalysis of resolution rates across different contact channels
  • Which channels have the highest resolution rates?

  • How does volume distribution align with resolution effectiveness?

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

Issue Resolution Analysis

Analyze common customer issues and their resolution metrics.

Questions to Consider:

  • What are the most common customer issues?

  • How has the distribution of issues changed from last quarter?

  • Are there preventable issues we should address?

Product QualityDeliveryReturnsSizingWebsiteBillingStock AvailabilityOrder Statusissue_category05,00010,000sum(issue_count)sum(issue_count)Distribution of Customer Issues by CategoryBreakdown of issue volumes and types

Product QualityDeliveryReturnsSizingWebsiteBillingStock AvailabilityOrder Statusissue_category0.050.0100.0150.0200.0sum(avg_resolution_time_hours)sum(avg_resolution_time_hours)Average Resolution Time by Issue TypeTime to resolution varies significantly by issue category
  • Which issues take longest to resolve?

  • Are resolution times aligned with issue complexity?

  • Where can we improve resolution efficiency?