How to improve your restaurant's online reviews

A store's overall rating is years of reviews, so a few bad months barely move it. By the time it drops, the problem is old. The way to improve reviews is to find operating problems while they're new, and the recent window shows them first.

Better reviews come from better visits, then from asking every guest the same honest question and answering what they say. This guide covers the numbers worth watching, the formulas behind them, a worked example, how to respond, how to get more reviews within the rules, and the mistakes that cost stores the most.

Why the overall rating is slow

The lifetime rating is an average of every review a store has ever received. The more reviews it has, the less any new one can move it. A simple formula shows how slow it is.

• New reviews needed to reach a target rating = (target − current) × total reviews ÷ (rating of new reviews − target).

A store at 4.1 with 800 reviews that wants to reach 4.2 needs (4.2 − 4.1) × 800 ÷ (5.0 − 4.2) = 100 new five-star reviews in a row, and more if some new reviews are below five. The same arithmetic works in reverse. A store with a long history can run noticeably worse for months while its headline rating barely moves.

That is why the headline rating is a poor early warning. It is the right number for guests deciding where to eat, and the wrong one for operators deciding what to fix.

What to watch

• The last 30 and 90 days against the store's own history. A store that has run 4.3 for years and now runs 3.9 has changed.
• Themes: wait time, order accuracy, cleanliness, staff. Three mentions of wait times in a week point at a shift, not the menu.
• Time of visit, where the review gives it, matched to who was working.
• Review volume. A sudden fall in how many reviews arrive can mean fewer guests, or that nobody is asking.

The formulas

• Recent rating = average star rating of reviews received in the last 30 or 90 days.
• Rating gap = recent rating − the store's long-run rating.
• Theme share = reviews mentioning a theme ÷ reviews in the period.
• Review volume = reviews received per 30 days.
• Response rate = reviews answered ÷ reviews received in the period.

A 30-day window at a small store may hold only a handful of reviews, so one angry guest can swing it. Read the 30-day figure for early signs and the 90-day figure for confirmation. Compare with your brand and format, since some formats draw far more reviews per guest than others.

A worked example

The lifetime rating still reads 4.3, so on the listing nothing looks wrong. The recent windows tell a different story: down 0.3 over 90 days and 0.5 over 30. The theme is narrow. Wait time is in nearly a third of recent reviews, and most of those visits were weekday evenings.

That points at a staffing or station problem on a specific shift, not at the food or the menu. The next step is to compare weekday evening ticket times and hourly labor with the same shifts two months ago, and to talk to the shift lead. For the labor side, see how to reduce labor cost, which covers matching crew to orders without cutting into service. The fix for the response rate is simpler: one named person at the store answers every review within two days.

How to respond

• Within a day or two, from someone at the store.
• Short and specific: thank them, acknowledge the problem, say what you've changed.
• Take details offline. Don't argue in public, and never share order, payment or employee details.
• Answer good reviews too, briefly.

A good reply to a wait-time complaint might read: "Thanks for telling us, and sorry for the wait on Tuesday evening. We've added a second person on the line for weekday dinner. If you'd like to talk it through, call the store and ask for the manager." It names the problem and the fix, and it doesn't make excuses.

Replies are read by future guests as much as by the reviewer. A calm, specific answer to a fair complaint often does more for the next guest's decision than another five-star review.

How to get more reviews, safely

Ask every guest for honest feedback the same way: a card with the bag, a line on the receipt. Don't offer anything in exchange for a review, don't ask only happy guests, and never write, buy or suppress reviews. Google's policies prohibit incentivised reviews, and the FTC's rule on consumer reviews and testimonials, in effect since October 2024, prohibits fake reviews, buying reviews and suppressing negative ones. Check each platform's current policy before running any review request.

Practical, permitted ways to ask:

• A short link or QR code on the receipt or bag card, shown to every guest.
• A line in an order confirmation email, where the guest has agreed to receive it.
• A crew member asking at the counter in the same words for everyone, not only regulars who seem pleased.

Don't screen guests first and send only the happy ones to a review site. That practice, sometimes called review gating, is against the rules of several platforms.

A step-by-step monthly review routine

1. Pull each store's reviews for the last 30 and 90 days from every platform you use.
2. Calculate the recent rating and the gap against the store's long-run rating.
3. Tag each review by theme: wait time, accuracy, cleanliness, staff, food quality.
4. Note visit times where reviews give them, and match them to the schedule.
5. Pick the one theme with the largest share and take it to the GM with the shifts involved.
6. Agree one specific operating fix, such as a staffing change or a pack check.
7. Check response rate and make sure one named person answers every review.
8. Confirm every guest is asked for feedback the same way, with no incentive.
9. Repeat next month and see whether the theme share fell.

Common mistakes

• Watching only the lifetime rating, which moves too slowly to be useful.
• Treating reviews as a marketing problem when most complaints describe an operating one.
• Arguing with a reviewer in public, or sharing order or employee details in a reply.
• Offering a discount or free item for a review.
• Asking only happy guests, or filtering who gets the review link.
• Reading one bad week at a small store as a trend, before the 90-day window confirms it.
• Letting replies come from a central account in generic language that doesn't mention the visit.

For franchisors

Recent rating by store is one of the earlier warnings of an operating problem across a brand. It often moves before sales do. Comparing each store's recent rating with its own history, and with the brand's median, shows where a field visit is worth the time. For how to compare stores fairly, see how to benchmark franchisee performance.

Where Franlever fits

When a reviews source is connected, Franlever reads each store's recent rating beside its sales and labor, rather than the lifetime average. When a store's recent rating falls below its own normal range, the GM can get one specific lever in the morning brief by email or text.

General information for restaurant and franchise operators, not legal, tax, accounting or financial advice. Figures in examples are illustrations, not predictions or promises of results. Laws and platform policies change and differ by location, so check the current rules and talk to a qualified advisor about your situation.