Ratio of IT Staff to Employees

In short, knowing how many IT staff you need is not a straightforward answer. There are many factors you’ll need to consider if you want to come to a truly accurate number; things like industry, the tech savviness of your workforce, and organizational size all come into play. Even the time zones you operate in can impact the final number.

The best thing you can do is consider each factor, decide on a ratio (the number of employees supported by each IT worker), and then refine your number through trial and error. Hopefully, we can help with the former part of this process.

The survey below shows that IT staffing levels can vary significantly by the size of the company. For example, the typical IT staffing ratio is 1:27 among all companies included in the survey. However, companies with 500 or fewer employees typically have an IT staffing ratio of about 1:18, while companies with 10,000 or more employees have a ratio of about 1:40.

Ratio of IT Staff to Total Employees

Survey shared with permission from Organizing for Results: IT Structures and Staffing Survey by people3, Mercer Human Resource Consulting, and ITAA.

Know your labor ratios beyond IT

The importance of labor ratios extends far beyond the limits of IT. While it is undoubtedly good to figure out exactly how much IT support to have on hand, it is arguably much more important (especially for shift-based businesses) to understand the ratio of customer-facing staff they need on a daily basis.

Figuring this out is no easy task. You’ll need to account for predicted customer demand, labor costs, role-based certifications, time off, and much more.

Luckily, in the age of AI, there is a way to let technology do all this thinking for you. With labor forecasting software, you can quickly determine the correct ratio of staff you need to meet demand during every shift. Check out how this works below:

Interested in learning more? Watch our free webinar below, where we dive into more details about labor forecasting best practices.

Webinar: How to Forecast Your Schedule Based on Demand