Managing multiple vendors requires clear, actionable insights. With the RizzitGo Spreadsheet, you can transform raw performance data into a powerful visual dashboard. This guide will walk you through designing charts to compare three critical metrics: Vendor Accuracy, QC Turnaround Time, and Refund Reliability.
1. Setting Up Your Data Foundation
First, structure your RizzitGo sheet with the following core data columns for each vendor:
- Vendor Name/ID
- Order Volume
- Accuracy Rate (%)
- QC Turnaround Time (Hours)
- Refund Rate (%)
- Data Period
Ensure data is consistently updated. This clean dataset is the engine for your visual charts.
2. Designing Comparative Visual Charts
Use the charting tools within your spreadsheet software (like Google Sheets or Excel) based on your RizzitGo data.
Chart A: Vendor Accuracy Comparison (Bar Chart)
Purpose:
How to Build:
- Select the Vendor NameAccuracy Rate (%)
- Insert a Clustered Bar Chart.
- Format: Set a green gradient data fill. Add data labels for precise percentages.
- Add a benchmark line (e.g., at 98%) for quick assessment.
Insight:
Chart B: QC Turnaround Time Trend (Line Chart)
Purpose:
How to Build:
- Use a pivot table to average QC Turnaround TimeData Period
- Insert a Multi-Line Chart.
- Format: Use distinct colors for each vendor line. Clearly label axes (Time Period vs. Hours).
Insight:
Chart C: Refund Reliability vs. Volume (Scatter/Bubble Chart)
Purpose:
How to Build:
- Use Order VolumeRefund Rate (%)
- Insert a Scatter or Bubble Chart
- Format: Divide into quadrants. Ideal zone: High Volume, Low Refund Rate.
Insight:
3. Consolidating into a Single Dashboard View
Create a new sheet titled "Performance Dashboard."
- Place Charts:
- Add Key Metrics Summary:
- Implement Interactivity (if possible):
- Format for Clarity:
Conclusion: From Data to Decisions
Your RizzitGo Seller Performance Dashboard is now complete. This visual tool transforms complex vendor data into clear, comparative insights. Regularly update the underlying data to keep the dashboard live. Use it to guide strategic conversations, reward top performers, and create targeted improvement plans for vendors lagging in accuracy, speed, or reliability. Data-driven vendor management starts here.