Being short one employee costs a restaurant 7-8% of daily revenue per shift—as much as $1,500 in a single day. That number, from new National Restaurant Association research, is the sharpest evidence yet of something operators have felt for years: Restaurants don't have the luxury of making slow hiring decisions.
Open positions immediately translate to uncovered shifts, and that affects everything — from slower transaction times to guest experience to strain on remaining team members. And notably for the restaurant industry, since traffic is more predictable (particularly in QSRs), understaffing can often be directly tied to revenue. That measurable financial impact is why restaurants have been the first to adopt hiring or operations technology leveraging AI, and why the data coming out of this sector often serves as a bellwether for where investments are headed in other frontline industries (like manufacturing, retail, and even healthcare).
I saw this firsthand while leading global talent acquisition and strategy at McDonald's. If we weren’t consistently ahead of the curve in restaurants, we were behind it. But being “ahead of the curve” is a difficult task when you don’t even know where that curve is (i.e. what does “good” look like?)
Thankfully, there are some really smart people out there doing the research on exactly how the best restaurants are handling frontline hiring today.
In a recent Future of Work podcast episode, I sat down with one of those really smart people, National Restaurant Association SVP and chief economist Chad Moutray, to dig into their second annual hiring and staffing report.
Last year, the report focused on technology’s impact on hiring and labor. This year, it delves into the numbers that tie labor and staffing directly to revenue, and what they tell us about how to hire and retain in the frontline. Here are some of the takeaways from our conversation.