Finding the Signal in the Noise: The Role of Analytics in Smarter Restaurant Decisions
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Firebirds Wood Fired Grill

Juan Sebastian Ovalle, Vice President of Business Analytics

Finding the Signal in the Noise: The Role of Analytics in Smarter Restaurant Decisions

Juan Sebastian Ovalle, Vice President of Business Analytics
Juan Sebastian Ovalle, Vice President of Business Analytics, Firebirds Wood Fired Grill

Juan Sebastian Ovalle

Restaurant Analytics Authority

Moving Beyond Surface-Level Performance Metrics

Restaurant performance is rarely influenced by one thing at a time. Marketers, menu creators, pricing changes, staffing levels, local events, delivery mix and promotional calendars can affect sales. Leaders can benefit from analytics in those situations.

It matters because restaurants always have smart, experienced operators. Analytics can't replace instinct. Well done, it sharpens. By evaluating what works and what doesn't, leaders can make better decisions.

Although same-store sales are important, they are not the end of the story. The business may compare against a soft promotional period of the prior year and see positive sales movement for reasons unrelated to the campaign. A menu launch, pricing changes, favorable weather, or broader category trends may have helped to lift sales.

In reverse, too. It may be a directionally successful campaign, but it still appears disappointing when compared with a tougher year-over-year comparison. False positives and false negatives can occur without context. Over-crediting initiatives that benefited from favorable conditions or under-crediting ones that performed better.

  A well-designed test gives the organization its cleanest read of whether an idea lifts sales above and beyond the normal run rate.  

Ask better comparison questions. That shift is where analytics create real value. The purpose of reporting is to inform the organization of the outcome. Analytics helps explain why it happened and what leaders should consider next.

Evaluating Menu Decisions through a Broader Lens

Menu decisions are another area where analytics can prevent the wrong conclusion. When an item is added or removed, it can be tempting to judge the decisions by looking only at item sales or total sales immediately before and after the change. But menu performance is more nuanced than that. A novel item may sell well enough to shift demand away from existing items. A menu simplification effort may reduce complexity but also remove something that matters to a specific guest or occasion. Subtraction may look harmless at the item level, but weaken in the broader category over time.

For that reason, category impact matters. Leaders should look at pre/post year-over-year performance and understand whether the entire category is increasing or declining versus its run rate. Did the change grow the category, or redistribute demand within it? Did simplification create operational benefits without sacrificing sales, or did the business lose sales without getting enough back in labor or executional simplicity? These are the types of questions that help leaders avoid shallow readings and make better systemic decisions.

Separating Signal from Noise

In a restaurant environment, almost every initiative competes with noise: seasonality, promotional calendars, local market conditions, staffing levels, pricing, execution and shifting guest behavior. A well-designed test gives the organization its cleanest read of whether an idea lifts sales above and beyond the normal run rate.

That requires discipline, and matching tests and their control in restaurants matters. Enough weeks of data matter. Clean promotional windows matter. So does feedback from operators, because numbers alone may not capture the full operational reality of what happens inside the restaurant. A test may show a sales lift, but leaders also need to understand whether the initiative was executable. They also need to understand whether it adds complexity and whether restaurant teams could deliver it consistently.

This is where analytics and operations partner essential. The most effective analytics teams are not simply report builders. They are consultative partners who understand the pressures a business wants to relieve. Sometimes a business does not need another dashboard. It needs clarity around the decisions in front of it.

That requires analytics leaders to communicate at the right altitude. Technical work matters, but operators and senior leaders rarely ask for a tour of the methodology. They need to understand what has changed, why it has likely changed, how confident we are and what decision the business should consider next. The more senior the audience, the more critical it becomes to translate analytical rigor into strategic clarity.

This is an area where analytics professionals must continue to grow. It is easy to get pulled into the technical details because that is where much of the work happens. But the value of the work is realized when it is communicated in a way that the business can act on. Statistical rigor is critical. So is speaking the restaurant operators' language.

Using Analytics to Drive Better Decisions

The need for clarity has only increased as restaurants become more complex. Operators no longer manage only dine-in businesses. They navigate off-premise, delivery, catering, digital ordering, staffing pressure, changing guest expectations and margin pressure. That complexity makes it easier to misread performance and more difficult to know which actions drive results.

Analytics brings discipline to that environment. It enables leaders to understand whether a sales lift is incremental or simply shifting from one place to another. It helps identify whether a menu decision strengthened or weakened an occasion. It helps determine whether an initiative should be scaled, adjusted, or stopped. Most importantly, it enables organizations to make more informed decisions.

Firebirds Wood Fired Grill is an example. Menu changes were made as soon as the menu was launched. Evaluation frameworks were also praised. Three dimensions were considered: margin contribution, growth trajectory and popularity. New items were added to replace underperforming items. If the data is close, operational complexity can be a tiebreaker. Menu planning was developed through experience and multi-factor analysis. The team could discuss the portfolio holistically rather than debating individual items. Operators also knew what to expect.

Technology as an Enabler, Not a Replacement

Technology will continue to evolve, and AI will play a role in reducing administrative work and surfacing insights faster. But the core principle remains the same: technology should create clarity and capacity for restaurant leaders. It should help them focus more attention on execution, teams and guests — the human work that defines hospitality.

Restaurant analytics won't replace operator judgment, strengthening it. Those who win in a fast-moving industry will ask better questions, test with discipline, communicate clearly and use analytics in the service of better decisions.

The articles from these contributors are based on their personal expertise and viewpoints, and do not necessarily reflect the opinions of their employers or affiliated organizations.