User Analytics
- Nathan Schafer
User Analytics will provide some insight into the individual user. These data widgets are bringing in work order and paperless shop specific data on technician efficiency and jobs assigned. This provides beneficial information on shop and technician efficiencies to make decisions.
You must have the user set up as a facility linked employee to get data in this tab, if they are not linked you will see this:
See here on steps to link an employee
You have the ability to filter this page by Facility, Region, and Year
User Analytics Tab
Widget Name | Widget Description |
|---|---|
Direct vs Indirect Hours | Direct hours (WO) vs Indirect hours metric (How the technician is billing time) |
Average Efficiency Rate | Estimate hours vs Actual hours worked |
Number of Jobs-Year to Date | Number of jobs assigned in paperless shop-Year to Date |
Number of Jobs-Prior Year | Number of jobs assigned in paperless shop-Prior Year |
Number of Jobs-All Time | Number of jobs assigned in paperless shop-All Time |
Comeback Rate-All Time | Comeback Rate based on Repair type coding at the work order line. |