1. Calculate Averages and Identify Outliers
Compute the average Response Timeaverage Refund DurationAVERAGE(). Look for claims that significantly exceed these averages—these outliers indicate process bottlenecks or exceptional cases needing review.
Effectively managing refunds is crucial for maintaining customer trust and operational cash flow. With the EastMallBuy Refund Analysis Spreadsheet, sellers can transform raw data into actionable insights, specifically focusing on Refund DurationSeller Response Time.
To begin analysis, it's essential to understand the two core metrics tracked:
Organize your spreadsheet with the following columns for each claim:
| Claim ID | Date Initiated | Date Responded | Date Resolved | Response Time (Hours) | Refund Duration (Days) | Claim Type | Status |
|---|---|---|---|---|---|---|---|
| #REF-1001 | 2023-10-26 | 2023-10-27 | 2023-11-02 | 24 | 7 | Product Defect | Completed |
Formulas like =([Date Responded] - [Date Initiated]) * 24=[Date Resolved] - [Date Initiated]
Compute the average Response Timeaverage Refund DurationAVERAGE(). Look for claims that significantly exceed these averages—these outliers indicate process bottlenecks or exceptional cases needing review.
Create simple line or bar charts:
Filter your data to uncover patterns:
Analysis is only valuable if it leads to action. Use your findings to:
The EastMallBuy Refund Analysis Spreadsheet is more than a log; it's a powerful diagnostic tool. By systematically tracking, calculating, and visualizing Refund DurationResponse Time, you move from reactive firefighting to strategic process management. This leads to faster resolutions, happier customers, and a healthier, more efficient e-commerce operation on the EastMallBuy platform.