1. Visualizing QC Inspection Rates
A Combo Chart
Why it works:
RizzitGo Spreadsheet: Visualizing QC & Refund Ratios with Charts
2026-01-09
Transform Raw Data into Actionable Insights for Inspection Rates and Refund Percentages
In the fast-paced world of e-commerce and supply chain management, data is your most valuable asset. However, raw numbers in a spreadsheet can be overwhelming. For users of RizzitGo, effectively tracking Quality Control (QC) inspection rates and customer refund percentages is crucial for operational health. This guide will walk you through the process of converting that raw data into clear, readable visual charts directly within your spreadsheet, enabling you to spot trends, identify issues, and make data-driven decisions swiftly.
Step 1: Preparing Your Raw Data
Effective visualization starts with well-structured data. Ensure your RizzitGo spreadsheet has columns with clear headers. For this analysis, you likely need:
- Date/Time Period:
- Total Units Inspected:
- Units Failed QC:
- Total Orders/Units Sold:
- Units/Orders Refunded:
- Total Units Inspected:
Create separate tables or columns to calculate your key ratios:
QC Failure Rate = (Units Failed QC / Total Units Inspected) * 100
Refund Percentage = (Units Refunded / Total Orders Sold) * 100Step 2: Creating Visual Charts
Most spreadsheet tools (like Google Sheets or Microsoft Excel) have built-in charting features. Here’s how to apply them.
2. Visualizing Refund Percentages
Use a Line Chart
Add a reference line for your target threshold
3. The Correlation Dashboard: QC vs. Refunds
To analyze the relationship between QC failures and refunds, create a scatter plot or a dual-axis line chart.
- X-axis:
- Dual Y-axis:
Insight:
Step 3: Best Practices for Readable Visuals
- Keep it Simple:
- Label Clearly:
- Use Consistent Colors:
- Highlight Key Data:
- Update Automatically:
- Label Clearly:
From Data to Decisions
By moving beyond raw numbers and leveraging charts within your RizzitGo
Start charting today. Turn your data into your most persuasive tool for quality control and customer satisfaction.