The Core Metrics: QC Pass Rate and Processing Speed
Effective seller analysis hinges on tracking two critical, complementary metrics:
- QC Pass Rate:
- Order Processing Speed:
Tracking these in a single spreadsheet creates a holistic view of seller performance.
Structuring Your Performance Spreadsheet
Begin with a clear table structure. Here's a foundational example:
| Seller ID | Seller Name | Total Orders | Units Inspected | Units Passed | QC Pass Rate % | Avg. Speed (Days) | Performance Tier |
|---|---|---|---|---|---|---|---|
| S-77891 | Precision Goods Co. | 15 | 1200 | 1176 | 98.0 | 4.2 | Top Performer |
| S-99234 | Swift Assembly Ltd. | 22 | 3500 | 3325 | 95.0 | 2.5 | Top Performer |
| S-44561 | Basic Parts Inc. | 8 | 800 | 712 | 89.0 | 7.8 | Needs Review |
Applying Conditional Formatting for Instant Insights
This is where static data becomes actionable intelligence. Use conditional formatting to create a heat-map effect.
For QC Pass Rate (%) Column:
- Green (>= 95%):
- Yellow (90% - 94%):
- Red (< 90%):
For Avg. Speed (Days) Column:
- Green (<= 3 days):
- Yellow (4 - 6 days):
- Red ( 6 days):
Most spreadsheet tools (like Google Sheets or Microsoft Excel) allow you to set these rules under the "Format" "Conditional formatting"
Identifying High-Performing Sellers
A true high-performergreen in both columns—combining high quality with fast speed. These are your key strategic partners.
Prioritize analysis of sellers with:
- Mixed Signals (e.g., Green/Red):
- Consistent Red Highlights:
Actionable Next Steps from Your Analysis
Your formatted spreadsheet is now a decision-making dashboard. Use it to:
- Allocate Volume:
- Initiate Conversations:
- Build a Tiered Supplier List:
By transforming raw data into a visually formatted performance matrix, BBDBuy agents can move from intuition to evidence-based sourcing, fostering stronger, more reliable supplier relationships.