Follow the below steps daily to ensure logging errors are identified
Proper Login Compliance in Spindle is the SINGLE MOST IMPORTANT item that you should focus on, to ensure that the data that is being collected is accurate. This guide will outline some best practices to use within SpindleLIVE, to ensure your employees time and efficiencies are being properly captured.
As a best practice, Supervisors should begin each day by verifying previous day’s Spindle data for accuracy. Below are the steps to perform Daily Login Compliance checks using SpindleLIVE. Once this daily best practice process is mastered, it should take Supervisors no more than 10-15 minutes per day to perform these checks.
- Navigate to the Analysis page by clicking on the “four-square” and then selecting “Analysis”.
- From the Employee View, use the date filter to select “yesterday” for the date range. Next, sort the “Spindle” hours column high to low by clicking on the word “Spindle”.
NOTE: You are looking for employees that worked too many hours, most likely because they forgot to log out at the end of their shift. The same should be done to find employees that did not work a full shift by again clicking on the word Spindle, to sort low to high.
- Perform the same sort for “Break” by clicking it to sort hours high to low, as shown below. This will identify employees that spent excessive time in break.
NOTE: This could be due to the employee forgetting to sign back in after break, or it could be because the employee did in fact take a longer break than was allowed. Supervisors should determine which of these factors caused the excessive time and coach accordingly.
- Perform the same sort for “Lunch” by clicking it to sort hours high to low, as shown below. This will identify employees that spent excessive time in Lunch.
NOTE: This could be due to the employee forgetting to sign back in after lunch, or it could be because the employee did in fact take a longer lunch than was allowed. Supervisors should determine which of these factors caused the excessive time and coach accordingly.
- Next, sort by Productivity. This will help identify employees that are too high in efficiency.
NOTE: Most often, this is due to employees logging into the incorrect job classification, or because they manually entered an incorrect count. Supervisors should investigate to determine the cause of the high efficiency and coach accordingly.
- Sort again for Productivity low to high by clicking it once more. This will identify employees that are too low in efficiency.
NOTE: Most often, this is due to them logging into the incorrect job classification, or not manually entering a piece count. Supervisors should investigate to determine the cause of the low efficiency and coach accordingly.
- Lastly, change your view to “Classifications”, and sort the “N.A. pieces” column by clicking on it.
NOTE: N.A. Pieces are pieces processed on equipment without employees being logged into that equipment in Spindle. Supervisors will need to determine the cause of these N.A. Pieces and coach accordingly.
Once Supervisors have identified a potential logging error, it may be necessary to further investigate the exact time the error occurred in order to coach accordingly. To do this, you will need to use Employee Tracking, which will give you exact times for each punch recorded in Spindle. Below are the steps to use Employee Tracking.
- Employee Tracking
- Identify the employee to be tracked
- Right click on the employee’s name and select “open link in new tab”
- Select the new tab in your browser, as pointed out below
- From the Employee Page, you will see an area titled “Employee Tracking.
- Expand out “Login/Logout Detail” to see exact time spent in each area
NOTE: The Employee Page is defaulted to show data for the current day. The next step will show you how to change the date range.
- To see a date range other than the current day, click on the calendar icon as shown below. Then select the appropriate date range.
- From this same Employee Page, you can also see which job classifications were performed.
- The date range can be changed by clicking on the calendar icon and selecting your specified range.
LIVE Login Compliance Checks
While the above Daily Login Compliance checks are considered a best practice in identifying potential logging errors, the true best practice is to identify these errors live on the plant floor during tours, or in SpindleLIVE using the below areas to monitor. As logging errors are identified, Supervisors should immediately act on them to ensure employees are logged into Spindle correctly.
Facility Health Page
- Using the “four-square”, navigate to the Facility Health Page, as shown below.
- From the Facility Health Page, you will see an area titled “Recommended Actions. This will show any equipment with N/A counts, as well as employees with excessive time in Break, Lunch or Meeting.
- By clicking on the plus symbol next to the specified area, you can expand that area to further investigate. Below reflects N/A counts expanded to show which equipment the logging errors occurred on.
- This can also be performed for any excessive breaks or lunches by expanding the appropriate area.
Team Status Page
Another best practice in ensuring proper login compliance is to perform end of break and end of lunch checks from the Team Status Page.
- Click on the “four-square” and select “Team Status”, as shown below.
NOTE: As a best practice, these steps should be performed immediately following the end of scheduled lunches and breaks to ensure employees are back at their Work Station on time.
- Excessive Lunch Check – Click on the “Lunch” filter under “Status”. If someone is currently logged into lunch, their name will appear.
NOTE: This task should be performed by Supervisors immediately following the end of scheduled lunch time.
- Excessive Break Check – Click on the “Break” filter under “Status”. If someone is currently logged into break, their name will appear.
NOTE: This task should be performed by Supervisors immediately following the end of scheduled break time.
- On this same page, Supervisors can view where all employees are currently logged in by clicking on the “Active” filter, and then sorting the “Status” column by clicking it, as shown below. This will group employees together by equipment (area).