Effectively tracking Quality Control (QC) failures and refund rates is crucial for any e-commerce service. The USFANS spreadsheet provides the raw data, but converting these logs into visual graphs unlocks a deeper, faster understanding of your service performance. This guide will walk you through the process.
Why Visualize This Data?
- Spot Trends Instantly:
- Compare Performance:
- Communicate Clearly:
- Identify Correlations:
- Compare Performance:
Step-by-Step: From Logs to Graphs
Step 1: Prepare Your Data in USFANS Sheet
Ensure your QC and refund logs are in consistent, tabular format. Use columns like Date, Order ID, Fail/Refund Reason, Product SKU.
Step 2: Create Summary Calculations
In a new worksheet, create key metrics using formulas like:
=COUNTIFS(QCLog!$A:$A, ">="&StartDate, QCLog!$A:$A, "<="&EndDate) // Total QC Checks
=COUNTIFS(RefundLog!$C:$C, "Defective") // Refunds due to Quality
Calculate ratios: QC Fail Ratio = (QC Fails / Total QC Checks)Refund Rate = (Total Refunds / Total Orders).
Step 3: Build a Time-Series Table
Create a table summarizing data by week or month:
| Week | QC Fail Ratio | Refund Rate | QC-Related Refund % |
|---|---|---|---|
| 2024-W10 | 2.1% | 5.4% | 38% |
| 2024-W11 | 3.5% | 7.8% | 52% |
Step 4: Insert and Customize Charts
Select your summary table and insert a Line ChartCombo Chart.
- Primary Y-Axis:
- Secondary Y-Axis:
- Add clear titles, axis labels, and a legend.
- Secondary Y-Axis:
For reason analysis, create a Pie ChartBar Chart
Recommended Chart Types
Trend Line Chart
Best for tracking QC and refund rates over time to identify patterns and seasonality.
Stacked Bar Chart
Ideal for showing the proportion of different failure reasons (e.g., packaging, damage, wrong item) within each period.
Scatter Plot
Useful for examining the correlation between QC fail rates and refund rates across different suppliers.
Take Action from Insights
Visualization is not the end goal. Use your graphs to:
- Target Improvement:
- Evaluate Supplier Performance:
- Forecast & Set Goals:
- Evaluate Supplier Performance:
By transforming your USFANS logs into clear graphs, you move from simple data recording to active performance management.