A. Trend Line Chart: Long-Term Performance Overview
X-axis:Y-axis: Lines:QC Approval RateRefund Frequency Ratio Insight:
HubBuyCN Spreadsheet: Visualizing QC and Refund Ratios for Strategic Insights
2026-01-29
A guide to creating data charts that uncover long-term performance trends in your sourcing pipeline.
For importers and e-commerce sellers using HubBuyCN, the raw data within sourcing spreadsheets is a goldmine. However, to truly optimize your supplier relationships and product quality, you must move beyond static numbers. Visualizing Quality Control (QC) approval ratesrefund/failure ratios
1. Data Preparation: Structuring Your HubBuyCN Data
Effective visualization starts with clean data. Ensure your spreadsheet has the following dedicated columns:
- Order Date / Month:
- Supplier Name/ID:
- Product SKU/Name:
- QC Status:"Approved", "Rejected", "Minor Issues".
- Refund Issued (Yes/No or Amount):
- Refund Reason:
- Supplier Name/ID:
Use a separate tab or table to aggregate this data monthly or quarterly.
2. Calculating Key Metrics: Ratios and Rates
Before charting, compute these core performance indicators:
| Metric | Formula | Purpose |
|---|---|---|
| QC Approval Rate | (Number of QC Approved Orders / Total Orders Inspected) * 100 | Measures initial quality reliability. |
| Refund Frequency Ratio | (Number of Orders with Refunds / Total Orders Delivered) * 100 | Tracks post-delivery financial failures. |
| Defect-Driven Refund Rate | (Refunds due to Quality / Total Orders) * 100 | Isolates quality-related losses. |
3. Creating Informative Data Charts
Use the following chart types in your spreadsheet software (like Excel or Google Sheets):
B. Stacked Bar Chart: Supplier Comparison
X-axis:Y-axis: Bars: Insight:
C. Pie/Donut Chart: Refund Reason Breakdown
Data: Insight:
D. Scatter Plot: Identifying Correlation
X-axis:Y-axis:
Each dot represents a specific product or supplier batch.
Insight:
4. Interpreting Trends for Strategic Action
Your charts should inform decision-making:
- Sustained Downtrend in QC Approval:
- High Refund Rate Despite Good QC:
- Improvement After a Specific Date:
- One Problematic Supplier:
- High Refund Rate Despite Good QC: