A packing team sends 90 orders this week after sending 80 the week before. That is more output. To decide whether the team became more productive, ask how much working time it used and whether the two sets of orders required comparable work.
Divide finished work by working time
The U.S. Bureau of Labor Statistics measures labour productivity as output per hour worked. A small team can use the same idea with a clearly defined unit. Suppose the team ships 80 orders in 40 staff-hours in week one. That is two orders per staff-hour. In week two it ships 90 orders in 50 staff-hours. That is 1.8 orders per staff-hour. Output rose by 12.5%, while output per hour fell by 10%.
Count the hours of everyone included in the task. Five people working eight hours use 40 staff-hours, even when the elapsed working day lasts eight hours. Choose a consistent boundary. If sorting returns and looking for missing items use team time in one week, decide how they belong in the calculation and use the same approach in the next.
Check which orders the team finished
Suppose week two included more oversized parcels that needed extra packing. An order count gives each parcel the same weight. Separate simple orders from more complex ones and compare the rates within each group when you can. If the group counts are too small to compare, describe the change in work mix alongside the result.
Quality matters too. If a box is labelled twice because the first label was wrong, count one correctly shipped order and keep the rework time in the hours. A metric that counts labels would reward an extra action even though the customer gets one parcel.
Use the number to decide what to observe
BLS explains that productivity can change with equipment, technology, skills and how work is organized. A lower rate can suggest looking for a cause, such as longer walks to supplies, missing stock or a change in package sizes. The weekly result alone leaves those possibilities open. Watch the work at each handoff and test one change before claiming an improvement.
For a simple follow-up, record correctly shipped orders, staff-hours, difficult orders and rework for the same shifts. Compare a similar week after the change. If the team ships more correctly packed parcels per hour and the delivery schedule is maintained, you have a clearer account of what improved.
- Choose a finished unit the customer recognizes.
- Include the hours that produced it.
- Compare the work mix and quality alongside the rate.
Sources & further reading
- BLS explanation of labour productivity
Defines productivity as output relative to the labour used to produce it.
- BLS explanation of productivity changes
Discusses equipment, methods, skills and other factors that can affect output per hour.