A Guide to Auto-Calculating Performance Scores Based on Reliability & Refund Ratios
The Problem: Manual Scoring is Slow and Error-Prone
For CNFANS buyers and sourcing agents, consistently tracking seller performance can be a daunting task. Manually calculating reliability scores and refund ratios for dozens of sellers each week consumes valuable time and increases the risk of errors, leading to potentially poor purchasing decisions.
The Solution: A Dynamic, Self-Updating Spreadsheet
By leveraging built-in formulas in spreadsheet tools like Google Sheets or Microsoft Excel, you can create a powerful dashboard that automatically updates a seller's performance score whenever new transaction data is entered. This system provides real-time insights based on two critical metrics: Order ReliabilityRefund Ratio.
Building the Automated Scoring System
The core performance score is a weighted calculation. Here is the data structure and key formulas:
1. Data Input Columns (Example)
| Seller | Orders Completed | Orders Problem | Total Orders | Refund Amount | Total Order Value |
|---|---|---|---|---|---|
| Seller_A | 95 | 5 | 100 | $200 | $5000 |
2. Core Metric Calculations
A. Reliability Ratio (%)
=(Orders_Completed / Total_Orders) * 100
Example Formula:=(B2/D2)*100
B. Refund Ratio (%)
=(Refund_Amount / Total_Order_Value) * 100
Example Formula:=(E2/F2)*100
Note: A lower
3. Final Composite Performance Score
Weigh the metrics according to your priority. For instance, reliability 70%, refund ratio 30%. A lower refund ratio should contribute a higher score.
Automated Performance Score (out of 10)
= (Reliability_Ratio * 0.7) + ((100 - Refund_Ratio) * 0.3) / 10
Combined Example Formula:=(( (B2/D2)*100 * 0.7 ) + ( (100 - (E2/F2)*100) * 0.3 )) / 10
Calculation:9.53
Implementing Your Dashboard
- Set Up Your Sheet:
- Insert Formula Cells:
- Apply Formatting:8.5, Yellow: 7-8.5, Red: <7) for instant visual assessment.
- Automate:
Key Benefits for CNFANS Users
- Efficiency:
- Objectivity:
- Proactive Sourcing:
- Informed Negotiation:
- Scalability: