Franchise KPIs: Comparing Restaurant Units Fairly

Put two franchise restaurants side by side and one will almost always look better. The question is whether it is better run, or just better placed. A store next to a university with 30% higher sales and a store in a suburban strip mall will never have the same numbers, and comparing them straight is how franchisors end up praising the lucky and pressuring the good.

The KPIs below are the ones we think belong on a unit-level scorecard for a restaurant franchise system. For each one, the useful question is not "what is the number" but "what is a fair comparison for it."

Sales and same-store growth

Total sales tell you about the site as much as the operator. Same-store sales growth (comparing a unit to its own results a year earlier) strips out most of the site effect, which is why it is the standard measure in multi-unit restaurants.

Define it consistently. Most systems only include units open for a full 12 or 18 months, so the opening surge does not distort the comparison. Decide how you treat closures for refurbishment, menu price increases and delivery sales, and write the definition down. If one franchisee includes delivery platform sales gross of commission and another reports net, the comparison is meaningless.

Same-store growth still is not a pure measure of the operator. A new competitor opening across the road, road works, or a local employer closing will all show up. When a unit's growth is well below the system, look at what happened in the trade area before you look at the operator.

Transaction count is worth tracking alongside sales. Sales can grow from price increases while guest count falls, which is an early sign of a problem price rises are hiding.

Food cost and labor cost

These are the two biggest controllable costs, and they are where operators differ most. Track both as a percentage of sales, consistently defined: food cost from opening inventory plus purchases minus closing inventory, divided by food sales for the same period. If your franchisees calculate it differently, the comparison falls apart. Our guide to food cost percentage covers the calculation.

The fairness problem with percentages is that they move with sales. Labor has a fixed component (you need a minimum crew to open the doors), so a lower-volume store will carry a higher labor percentage even if it is scheduled well. Here is a simple example.

Both stores schedule variable labor at the same rate (17% of sales). The 6.7-point gap is entirely the fixed minimum. Holding Store B's manager to Store A's labor percentage would push them to cut below the minimum crew, which hurts service and food safety.

Two better ways to compare: group stores into sales bands and compare within the band, or set targets from a model that accounts for the fixed portion. Sales per labor hour is another option and is less sensitive to wage differences between regions, which matters if your stores span cities with very different minimum wages.

Food cost is less affected by volume, but it is affected by menu mix. A store that sells more of the high-margin items will show a lower food cost without doing anything better. Comparing actual food cost to theoretical food cost (what it should have been, given what was sold) is the fairest measure of how well the kitchen is run, and it is worth the effort to set up.

Audit scores

Field audit scores are the most direct measure of whether a unit is meeting standards, and they are relatively fair across locations because the standard is the same everywhere. Two cautions.

Report critical failures separately from the overall score. A store averaging 94% with a critical failure in two of the last four audits is not a 94% store. The field audit checklist guide explains a scoring approach that keeps them visible.

Watch auditor consistency. If one area manager scores 8 points harder than another, the stores in their region will look worse. Rotating auditors occasionally, or having two auditors score the same visit now and then, keeps this honest.

Checklist completion

Daily checklist completion (opening, closing, temperature logs, cleaning) is a leading indicator. It moves before audit scores do. A store where completion drops over a month is often heading for a bad audit.

Completion alone is easy to game, though. A checklist marked complete at 11:58 p.m. for the whole day is a checklist filled in, not a checklist done. Better measures look at on-time completion (done in its window), photo evidence where required, and exceptions raised. A store that never reports an out-of-range temperature is either perfect or not checking. In most kitchens, some exceptions are normal, and a store reporting and fixing them is healthier than one reporting none. Systems like TenorOps record when each task was done and keep the photo proof, which makes this kind of comparison possible without trusting self-reported totals.

Guest ratings

Review ratings and delivery platform scores are the closest thing to the guest's view at scale. Compare them carefully. Rating levels differ by platform and by market, and a store with 40 reviews is noisier than one with 400. Look at trends and at the share of low ratings rather than small differences in the average. A move from 4.5 to 4.3 on a large sample means something; the same move on 30 reviews may not.

Read the complaints themselves. A cluster of "cold food" complaints points to packaging or dispatch; "missing items" points to the packing check. That is more useful than the score.

Staff turnover

Turnover is the KPI franchisors look at least and should look at more. High turnover means training is constantly being lost, and it shows up later as slower service, more waste and weaker food safety. Track it separately for managers and crew. A store losing its general manager is a bigger risk than one losing several crew members.

Benchmark it carefully. Restaurant crew turnover is high everywhere, and local labor markets differ a lot. Compare a store to others in the same area, and to its own history, rather than to a system-wide target.

Note that turnover is about the franchisee's employees. The franchisor can track it as a business indicator, but how the franchisee hires and manages people is generally their call.

Normalizing for size and location

The general approach is to compare like with like. Some practical ways:

1. Peer groups. Group units by format (drive-thru, inline, food court, delivery-only), by sales band and by market type (urban, suburban, highway, campus). Compare within the group.
2. Trends against self. For most KPIs, a unit's movement against its own history is fairer than its level against others.
3. Gaps to target. Instead of raw food cost, report actual minus theoretical. Instead of raw labor percentage, report actual minus a target modeled on volume.
4. Age adjustments. New units take a year or more to settle. Keep them in a separate group or flag them.

You do not need a statistician for this. A spreadsheet with peer groups and a column for "change versus last year" does most of the work.

League tables and their side effects

Ranking franchisees from best to worst is popular, and it does motivate some people. It also changes behavior in ways you may not want.

Ranked metrics get managed. If you rank on food cost, some stores will under-portion. If you rank on speed of service, some will cut corners on food safety or pre-cook too far ahead. If you rank on checklist completion, completion will rise, but not necessarily real checking. Always pair a ranked efficiency metric with a quality metric that would catch the shortcut, such as audit scores and guest ratings alongside food cost.

Rankings also discourage the bottom half. A store ranked 47th of 50 because of its site may conclude there is no point trying. Showing each store its position within its peer group, and its improvement over time, keeps people engaged without pretending every store has the same starting line.

And rankings invite gaming of the data itself: late inventory counts, waste not recorded, sales shifted between periods. Where the incentive to adjust a number is strong, check the source. That is one reason to prefer KPIs that come from systems (POS, timestamped checklists, independent audits) over ones the franchisee reports by hand.

A scorecard that works usually has six to ten measures, shown with peer comparison and trend, reviewed with the franchisee rather than sent to them. For how scorecards connect to the wider job of running many locations, see our guide to multi-location restaurant operations, and for what to do when the numbers keep pointing at the same store, escalating a non-compliant franchisee.