Estimate how many employees you need to cover your opening hours, with a buffer for time off and absence.
Shift-hours per week = hours open × people on duty × days open.
Employees = shift-hours ÷ average weekly hours per employee.
With buffer = employees × (1 + buffer %), rounded up.
A convenience store is open 12 hours a day, 7 days a week, with 3 people on duty: 252 shift-hours a week. With employees averaging 32 hours, that is 7.9 people, and 9 with a 12% buffer.
Use it when you open a location, extend hours or see constant overtime. It gives a starting point; build the actual schedule from demand by hour.
The buffer covers planned and unplanned absence. Use your own absenteeism and leave figures if you have them.
A physical therapy clinic is open 10 hours a day, 5 days a week, with 2 therapy aides on the floor at all times: 100 shift-hours a week. Aides average 36 hours, so the clinic needs 2.8 aides before buffer. With a 15% buffer for vacation and sick days the need is about 3.19, which rounds up to 4 aides to hire.
Employees before buffer is the bare minimum to fill every shift if nobody is ever out. The hire figure rounds up any fraction, so a result like 3.19 might be better covered by 3 people plus a part-timer than by 4 full schedules. Average weekly hours must reflect what people actually work, because a lower average quickly raises the number of people needed for the same coverage.
No. It estimates headcount; the schedule follows demand by hour.
Use your own leave and absence data; many businesses use 10 to 15%.
Calculate busy and quiet periods separately.
Only if they cover the same positions.
Run it as its own calculation, such as pharmacist or hygienist coverage, because a general buffer does not help if the only licensed person on shift calls out. Each licensed role needs its own backup count.
You cannot hire 3.2 people, and rounding down leaves shifts uncovered. If the result is just above a whole number, extra hours from existing part-timers may cover the fraction more cheaply than another hire.
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