Quarterly Customer Experience Review - Specialty Retail

Track and analyze customer service performance metrics across all specialty retail channels, focusing on customer satisfaction, response times, and issue resolution rates to optimize service delivery and enhance customer experience.

Report Objective

Monitor and evaluate customer service performance across specialty retail operations, identifying trends in customer satisfaction, service efficiency, and issue resolution. This quarterly analysis aims to highlight areas for service improvement and recognize successful practices.

Customer Satisfaction Metrics

Time series analysis of CSAT scores and Net Promoter Score (NPS) trends

Questions to Consider:

2024-02-012024-03-012024-04-01date4.14.24.3sum(csat_score) vs. store_locationsum(csat_score)store_locationHow are Customer Satisfaction Scores Trending?CSAT scores show quarterly variations with regional differences
  • What are the notable trends in CSAT scores across different regions?

  • Are there seasonal patterns in customer satisfaction?

  • Which locations consistently outperform others?

  • Which regions have the highest customer advocacy?

  • How do NPS scores correlate with store size and market type?

  • What factors contribute to NPS variations between locations?

New YorkLos AngelesChicagoHoustonstore_location050010001500sum(nps_score)sum(nps_score)Net Promoter Score Distribution by RegionNPS varies significantly across store locations

Service Response and Resolution

Analysis of ticket volumes, response times, and resolution rates

Questions to Consider:

PhoneEmailChatSocial Mediachannel0100200300sum(avg_response_time)sum(avg_response_time)Service Response Time AnalysisResponse times vary by channel with improvement opportunities
  • Which channels demonstrate the fastest response times?

  • How do response times impact customer satisfaction?

  • Are there specific times when response times increase?

  • How do resolution rates compare across different channels?

  • What trends emerge in resolution rates over time?

  • Which channels show the most consistent performance?

2024-02-012024-03-012024-04-01date84%86%88%sum(resolution_rate) vs. channelsum(resolution_rate)channelResolution Rate Trends Across ChannelsFirst-contact resolution rates show channel-specific patterns

Channel Performance Analysis

Comparative analysis of service metrics across different support channels

Questions to Consider:

dateavg_response_timeresolution_ratechannel
2024-01-021585%Phone
2024-01-031585%Email
2024-01-041486%Chat
2024-01-051385%Social Media
2024-01-061285%Phone
2024-01-071186%Email
2024-01-081286%Chat
2024-01-091186%Social Media
2024-01-101286%Phone
2024-01-111085%Email
  • Which channels demonstrate the best overall performance?

  • How do different metrics correlate within each channel?

  • What optimization opportunities exist for each channel?