Monthly Customer Service Level Analysis - Discount Stores
Track and analyze key customer service metrics including response times, resolution rates, and satisfaction scores across channels to optimize service delivery and customer experience in discount retail stores.
Report Objective
Monitor and evaluate customer service performance across all channels, focusing on service level metrics, resolution effectiveness, and customer satisfaction to ensure optimal support delivery while maintaining cost-efficiency in the discount retail environment.
Response Time and Resolution Rates
Time series analysis of core service metrics
Questions to Consider:
How are response times trending across different service channels?
What is the first contact resolution rate and how has it changed?
Are there specific times when service levels drop below targets?
What is the trend in average response time?
Are there seasonal patterns in response times?
How do current metrics compare to service level targets?
What is the relationship between CSAT and FCR?
Are we meeting our customer satisfaction targets?
Which months showed the best/worst performance?
Channel Performance Analysis
Comparative analysis of service channels
Questions to Consider:
Which channels are handling the highest volume of inquiries?
How do resolution rates compare across different channels?
Is resource allocation aligned with channel demand?
Which channels are most utilized by customers?
Is the current channel mix optimal for our customer base?
Should we adjust staffing based on channel volume?
Which channels are most effective at resolving issues?
Are there opportunities to improve resolution rates in specific channels?
How do channel resolution rates impact overall satisfaction?
Issue Categories and Resolution Time
Analysis of service issues by category
Questions to Consider:
What are the most common types of customer issues?
Which categories require the most resolution time?
Are there recurring patterns in issue types that need addressing?
Which issue categories require the most attention?
Are there preventable issues that could be addressed proactively?
How does issue distribution affect staffing needs?