
Why consistency at scale takes a new operating model, not a bigger team. The Chili's case study
Written By: Andrew Liu, Co-Founder
Everyone remembers the cheese pull. The three-second video, the Boston Market bit, the sudden cultural relevance of a chain most people had written off. That's the story that gets told at conferences.
It's not the story that explains the numbers.
Chili's posted same-store sales growth of 31.4% in a single quarter and closed out a three-year turnaround with restaurant-level margins up from 11.9% to 17.6% — nearly six points, in an industry where a point is a good year (Restaurant Business, 2025). Viral moments don't move a margin six points. Something structural did. And the structural part is where the actual lesson for guest experience is hiding.
What Chili's rebuilt while everyone was watching the videos
Between 2022 and 2025, Chili's didn't decide to care more. It rebuilt the conditions that make consistent execution possible.
It cut the menu by 25% so the kitchen could execute fewer things well. It put $160 million more into labor than it spent in 2022, so locations were actually staffed to serve the guests walking in. It replaced equipment, cleared years of deferred maintenance, and rebuilt training from the ground up. Average unit volume climbed from $3.1 million to $4.5 million (Nation's Restaurant News, 2025).
Hochman's framing of what that bought is precise: at $4.5 million in volume, "everything generally gets easier for the restaurants — labor budgets, repairs and maintenance, staffing, cleaning."
He didn't motivate his way to consistency. He built the infrastructure that made consistency the default outcome instead of the heroic exception. The rush stopped being a crisis because the system was finally built to absorb it.
That's the part the coverage skips. And it's the part that should make every multi-location operator uncomfortable.
The rebuild stopped at the four walls
Here's the uncomfortable part.
The things Chili's fixed inside the four walls: staff to match volume, strip out the friction, build a system instead of leaning on individual heroics — describe the digital guest relationship just as precisely. A multi-location brand fields guest interactions every day across Google, Yelp, DoorDash, Uber Eats, Instagram, direct messages, and surveys, at every location. The volume is real. The intent to serve is real.
What's missing is the machine.
Picture the district manager who's been asked to "keep an eye on the feedback" across twelve stores, on top of everything else she owns. A guest flags a missing item from a delivery order on Saturday night. She sees it Tuesday, if she sees it at all. By then the guest has left a one-star review and moved on. That's not a caring problem. That's the exact understaffed-kitchen-during-a-rush that Chili's spent three years engineering out of its dining rooms — except online, no one has done the engineering.
Why the in-house rebuild doesn't happen
If it’s that simple, why hasn't the industry run the Chili's playbook on digital guest experience?
Because the economics that funded the dining-room rebuild don't exist.
Chili's could add $160 million in labor because a line cook and a server generate revenue that carries their wage. A $15 dining experience justifies a person on the floor. Responding to a one-star review on a $15 delivery order does not justify a dedicated headcount — not at the volume a 200-location brand generates every single day. So the work never gets staffed. It gets triaged. Brands answer the loudest complaints and let the rest fall through.
Turnover makes it worse. QSR staff turnover runs north of 130% a year (Black Box Intelligence, 2024). Even when a brand assigns someone to own the feedback queue, that institutional knowledge walks out within twelve months and the process resets to zero. Chili's fixed its turnover by making the job better. That lever doesn't exist for a role that was never economically viable to begin with.
This is why "try harder" has never worked online. The constraint was never effort. It's that the human-labor model — the thing Chili's could afford to rebuild in the dining room — was never affordable for digital guest experience in the first place.
What happens when brands stop trying
The brands starting to pull ahead online aren't asking their teams to respond faster. They've accepted that the manual model was never going to scale, and they've gone after the model itself — the same move Hochman made, aimed at a different part of the guest relationship.
Chili's proved that consistency at scale is an infrastructure outcome, not a willpower one. Hochman built a system so a sudden rush turned into 31% growth instead of a reputational fire. The question for everyone still watching the cheese-pull video is simpler than it looks: your dining room finally has a machine behind it. What's behind your feedback queue?

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