RizzitGo Spreadsheet: Visualizing QC & Refund Ratios with Charts

Transform raw inspection and refund data into actionable insights through clear, effective visuals.

For e-commerce and fulfillment teams, raw spreadsheet data on Quality Control (QC) inspections and refunds is essential, but difficult to interpret at scale. The RizzitGo Spreadsheet

Prerequisite: Structured Data Collection

Ensure your data is logged consistently with at least the following columns:

Date/Week/Month:
Total Units Inspected:
Units Failed QC:
Total Orders/Units Sold:
Units/Orders Refunded:

Calculate these core ratios in your spreadsheet first:
QC Fail Rate = (Units Failed QC / Total Units Inspected) * 100
Refund Rate = (Units Refunded / Total Units Sold) * 100

Recommended Charts & Implementation

1. Dual-Axis Line Chart (Trend Analysis)

Best for observing trends and correlations between QC performance and refunds over time.

How to Create:

Select your DateQC Fail Rate %Refund Rate %).

Insert a Line Chart.

Format the series: Assign QC Fail RateRefund Rate
Add clear axis titles and a legend.

Insight Gained:

2. Clustered Column Chart (Period Comparison)

Ideal for comparing the two ratios side-by-side across different periods (e.g., weeks, suppliers).

How to Create:

Select your period labels and both ratio values.

Insert a Clustered Column Chart.

Color-code the bars (e.g., blue for QC Fail Rate, red for Refund Rate).

Add data labels for clarity.

Insight Gained:

3. Combo Chart (Column + Line)

Combines the visual weight of columns with the trend clarity of a line, often used to overlay a target threshold.

How to Create:

Plot QC Fail RateRefund Rate
Alternatively, plot one ratio as columns and add a horizontal "Target Line"
Format for high contrast between elements.

Insight Gained:

Best Practices for Effective Visualization

Keep it Simple:
Highlight Key Anomalies:
Maintain a Dashboard:
Automate Updates:

From Data to Decision

By leveraging the RizzitGo Spreadsheet

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