Your restaurant is generating valuable data every single day. Beyond the standard metrics most operators already track, there’s a layer of granular, operational reporting that can dramatically sharpen your decisions around food cost, labor, and revenue.
Most restaurants track the basics: total sales, total labor cost, and food cost as a percentage of revenue. Those numbers matter, but they don’t tell you much about why performance looks the way it does or where to focus your attention. Restaurant-specific operational reporting fills that gap by surfacing the detail behind the summary numbers, giving operators and managers the information they need to make adjustments in real time rather than in hindsight.
The 12 metrics below are organized by category. Some you may already be reviewing occasionally. The operators who get the most value from them tend to review them consistently, at a cadence that matches how quickly the underlying data changes.
Your sales reports are the foundation of any operational reporting strategy. The details they surface help you track performance across locations, identify trends over time, and give store-level managers an immediate feedback loop on the decisions they’re making day to day.
The daily sales summary (DSS), also known as a flash report, pulls a snapshot of a single day’s sales, labor, and other key performance metrics across one location or multiple stores. It’s a high-level view of the metrics that matter most on a daily basis — sales, labor costs, and comps. Reviewing it consistently gives managers the visibility to make real-time adjustments before small issues become larger ones.
The weekly sales review, broken down by location, provides a broader look at revenue across day parts, service types, guest counts, average check, and key controllable expenses. It also supports historical comparisons, including week over week, month over month, and year over year performance.
For store-level managers, this report creates an immediate feedback loop. Seeing the real-time effects of their decisions on labor spend and other expenses gives them the context to manage more proactively going forward.
Food costs, also known as Cost of Goods Sold (CoGS), are one of the largest expenses in any restaurant. The reports below go beyond a single CoGS number to give operators a more detailed view of where food spend is going and where there are opportunities to tighten it up.
Taken together, this food-related reporting can have a significant impact on your bottom line. As your restaurant cycles through inventory, it generates a large volume of useful data. The reports below turn that data into actionable insights.
Because vendor pricing has a direct impact on overall food cost, running receiving reports every two to three days is worth the effort. This report helps identify pricing errors outside of contracted rates so you can act quickly on contract violations. It also shows the total of all items purchased within a date range and each item’s percentage of total CoGS, keeping close tabs on your highest-moving items. Comparing prices across store locations or regions can also surface opportunities to renegotiate volume discounts.
Your actual vs. theoretical (AvT) food cost analysis shows what you should have spent on inventory based on sales versus what you actually spent, accounting for errors, waste, and variance. Running AvT analysis after inventory counts helps you identify where inefficiencies exist and where waste is occurring.
In practice, this means reviewing actual usage against theoretical amounts for menu items sold, expected variance, and waste from your tracking system. You can also drill into AvT variance by category or by individual item, which helps you prioritize where to focus improvement efforts. The AvT report represents the gap between what was planned and what was executed. Closing that gap is one of the most direct paths to improving food cost.
Reviewing menu items for profitability and popularity shouldn’t be guesswork. Menu item analysis tracks price, cost, profit margin, and quantities sold for each item, then ranks them into categories:
Each category points toward a different course of action. Stars should be protected. Opportunities may benefit from promotion. Puzzles warrant a closer look at recipe cost or portion size. Dogs are candidates for removal. These insights feed directly into menu engineering decisions that can meaningfully improve margins.
This report shows the average price paid for an item within a given period at each store, then compares that to the average across all other locations. Sorting by dollar variance surfaces the spread between stores paying the most and least for the same item. That comparison can prepare you for vendor negotiations, purchasing agreements, or conversations about centralizing procurement.
Many operators track total labor cost and labor cost as a percentage of sales as part of prime cost. But labor fluctuates by the day, week, and month in ways that a single summary number can’t capture. The reports below give store-level and scheduling managers the detail they need to make informed, timely adjustments while balancing retention and guest experience.
Sales per labor hour (SPLH) plots labor hours alongside sales to show how efficiently your team is generating revenue. You can also track customers served per labor hour for a more volume-oriented view. Both metrics shift by day part and day of week, but setting targets for each helps you identify scheduling issues — both over-staffing and under-staffing — and make better use of your labor hours.
This report is essentially a weekly view of SPLH and customers served per labor hour. Reviewing it consistently allows you to see which day parts and shifts are the most productive and which may need attention. Comparing productivity across locations also helps identify which stores may benefit from additional training or operational support.
A labor trends report visualizes the current year’s labor dollar spend, labor percentage, and hours worked, compared to both scheduled labor and the prior year’s actuals. You can slice this data by day, week, or month and drill into specific time periods. The visual representation makes it easier to spot patterns, compare performance over time, and identify where labor efficiency is improving or slipping.
This chart compares the number of staff members working to the number of customers served during a specific period, filtered by location. Combined with sales forecasting, it becomes a valuable input for scheduling. By examining labor peaks from prior weeks, managers have more concrete data to inform how many staff should be scheduled for a given shift.
Similar to the AvT food cost report, this analysis compares scheduled labor cost in theory to actual labor spend for a specific period, surfacing the labor variance. When the variance is large, you can drill into the underlying details — job titles, specific dates, individual employees — to understand what drove it and how to prevent it going forward.
The overtime warning report flags employees who are approaching or have already hit overtime. It tracks four data points on a weekly basis: scheduled hours, actual hours, projected hours (current hours worked plus remaining scheduled hours), and the point at which overtime begins.
This report shows potential overtime, not confirmed outcomes, so managers need to review it throughout the week as numbers shift. But it gives managers exactly the information they need to make proactive scheduling decisions before overtime costs are locked in.
Summary numbers tell you what happened but not why or where. Granular operational metrics give you the detail to identify the specific drivers of cost overruns, inefficiencies, or missed opportunities so you can act on them.
It depends on the report. The daily sales summary should be reviewed every day. Receiving reports are most useful every two to three days. Weekly reports like labor productivity and actual vs. scheduled should be reviewed at the close of each week. The key is building a consistent cadence rather than checking in only when something seems wrong.
It’s a comparison of what you theoretically should have spent on food based on sales versus what you actually spent. The variance between the two reveals waste, preparation errors, ordering mistakes, or spoilage. Learn more about R365 financial reporting.
Sales per labor hour (SPLH) measures how much revenue your restaurant generates for every hour of labor worked. It helps managers identify over- and under-staffing by shift or day part and is one of the most useful metrics for evaluating scheduling efficiency.
By ranking every menu item across margin and popularity, it gives operators a clear framework for decisions around pricing, promotion, portion size, and removal. It takes the guesswork out of menu engineering.
It’s a report that tracks scheduled hours, actual hours, and projected hours for each employee on a weekly basis, flagging anyone approaching or already in overtime. It gives managers the information to make scheduling adjustments before overtime costs are incurred.
For multi-unit operators, these reports become benchmarking tools. Comparing SPLH, AvT variance, or vendor pricing across locations helps identify outliers, surface best practices, and prioritize where operational support is needed most.
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The restaurants that consistently outperform their peers aren’t running fundamentally different operations. They’re making better-informed decisions more frequently, and they’re doing it because they have the right data in front of them at the right time. The 12 metrics above won’t all be relevant to every operator at every stage, but building a habit of reviewing the ones that match your current priorities is one of the highest-leverage things you can do for your bottom line.
Want to see how R365 can help you track and act on the metrics that matter most? Schedule a free demo today.
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