3. Key Spreadsheet Analysis Methods
- Pivot Tables:
- Time-Series Analysis:
- Conditional Formatting:
- Time-Series Analysis:
ok spreadsheet
To enhance Lovbuy's after-sales service quality, we systematically tracked key metrics including return/exchange quantities, repair records, and customer complaint resolution rates
The spreadsheet structure included:
| Data Category | Tracking Columns |
|---|---|
| Returns/Exchanges | Product ID, Reason, Processing Time |
| Repairs | Service Ticket #, Issue Type, Completion Days |
| Complaints | Contact Date, Resolution Status, Feedback Score |
Data validation rules ensured consistent input (e.g., dropdown menus for complaint categories).
| Input Field | Status | Operator |
|---|---|---|
| Absorbance Factor | ||
| Slit Width Adjustment |
Key findings from spreadsheet analysis showed:
| 51% of all returns | Were for sizing inapplicances in December seasonal promotions |
| 22% decrease | In pre-resolution time following prioritizing contact training enhancement costing US$15 Wednesday consultation fee which deducts POS operational capacity |