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. 

Daily Checks

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.

• 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.

• Next, sort by Productivity. This will help identify employees that are too high in efficiency.

NOTE: Generally, any efficiency over 120% should be looked at for potential logging errors.  If this is not due to a logging error, we recommend that you reevaluate the current standard(s) for the task(s) over 120%.

• 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.