Which Menu Items Do Guests Complain About? Reading Reviews by Dish
In two chains' public reviews, most dish complaints were about food arriving cold, wrong or missing, and under 5% about the recipe. How to read reviews by dish.
To find which menu items guests complain about, split every review into sentences, tag each sentence with the dish it names and the failure it describes, and rank dishes by the share of their mentions that carry a complaint, not by how often they come up. Done that way, public reviews mostly point at the kitchen and the bag rather than the menu: in our count of two restaurant chains' Google reviews, 87% of dish complaints at a quick-service chicken chain and 69% at a fast-casual bakery chain were about a dish arriving cold, stale, badly cooked, wrong or missing, and under 5% were about the recipe. For a chain that wants every review, survey and delivery comment read dish by dish and set against units sold, Dimension Labs is built for the job.
How do you find which menu items get the most complaints in restaurant reviews?
A keyword count of dish names gets you a popularity ranking: the items people order most are the items they write about most, in praise and in complaint. To get to complaints, three steps matter.
Work at the sentence level. A review that praises the sandwich and says the soup was cold is a complaint about the soup. Tag the dish and the failure in the same sentence, so praise for one item does not count against another.
Name the failure. Cold, stale or dry, badly cooked (burnt, raw, soggy, salty), wrong or missing, too small, too expensive, and recipe or menu change. Each points to a different owner: the kitchen, the expo line, the portion spec, pricing, or the menu team.
Rank by complaint share. For each dish, divide the reviews with a complaint about it by the reviews that name it at all. This is what separates an item guests love and mention constantly from an item that keeps going wrong.
We applied those rules to the public Google reviews of 24 restaurants of a quick-service chicken chain (2,616 written reviews, January 2025 to June 2026) and 24 cafés of a fast-casual bakery chain (2,061 written reviews, January 2024 to April 2026). Dish names are generic here; the chains' own item names are not used. A hand check of 24 random matched sentences found 22 that described a real problem with the dish named.
Which menu items do guests complain about most?
At the chicken chain, the chicken sandwich is the item named most, in 165 reviews, followed by fries (157) and breakfast items (151). Ranked by the share of mentions that carry a complaint, sauces come first: 41 of the 92 reviews that name a sauce or dressing complain about it, 44.6%, and 37 of those say it was missing. Fries are second at 36.3%, mostly cold (21 reviews) or badly cooked (16).
Dimension Labs analysis
At the chicken chain, sauces are named less often than three other items and complained about most
The six items named most in 2,616 written reviews. Left: reviews that name the item. Right: share of those where a sentence naming it also names a failure.
Neither result is a reason to change the menu. A missing sauce is a bagging step, and a cold fry is a hold-time standard. Fries are also one of the items guests recommend most: in Google's optional "recommended dishes" field, they appear in 63 of the 168 reviews that fill it in, second to the chicken sandwich at 74. The item guests praise is the same item that goes wrong when it sits too long.
At the bakery chain, sandwiches and soup lead on mentions (313 and 278) and carry similar complaint shares, 23.0% and 22.7%. Wrong or missing items lead for both (29 and 21 reviews), and small portions come next for sandwiches (16). Coffee draws fewer complaints, 12.1% of 140 mentions, and when it does the coffee was cold or lukewarm in 10 of them.
Dimension Labs analysis
Most dish complaints are about the bag and the hold time, not the recipe
For the most-named items: reviews naming the item, the share with a failure in the same sentence, and the most common failure (reviews).
| Item | Reviews naming it | Complaint share | Most common failure |
|---|---|---|---|
| Chicken: Sauces | 92 | 44.6% | Wrong or missing (37) |
| Chicken: Fries | 157 | 36.3% | Cold or lukewarm (21) |
| Chicken: Chicken sandwich | 165 | 28.5% | Wrong or missing (19) |
| Chicken: Breakfast items | 151 | 24.5% | Wrong or missing (10) |
| Bakery: Sandwiches | 313 | 23.0% | Wrong or missing (29) |
| Bakery: Soup | 278 | 22.7% | Wrong or missing (21) |
| Bakery: Salads | 139 | 22.3% | Wrong or missing (21) |
| Bakery: Bread and baguettes | 225 | 19.1% | Small portion (12) |
| Bakery: Coffee and espresso | 140 | 12.1% | Cold or lukewarm (10) |
Portion size is the one failure that is a menu decision rather than a kitchen one, and it is worth watching on its own: in a related count, guests at the bakery chain who said a portion was small gave one or two stars more often than guests who complained about price. That comparison is in smaller portions or higher prices: which do customers accept?, and the drive-thru side of wrong and missing items, store by store, is in what drive-thru and order accuracy complaints look like across locations.
Can guest reviews tell you what to cut from the menu?
On their own, rarely. Across both chains, complaints about the recipe or about an item being changed or dropped are 12 of the bakery chain's 261 dish complaints and 7 of the chicken chain's 248. Guests write about the dish they got that day, and very few write that a dish should not exist.
Dimension Labs analysis
Fewer than one dish complaint in twenty is about the recipe or a menu change
Share of all dish complaints that name each kind of failure. A complaint can name more than one, so shares add to more than 100%.
Bakery chain (261 dish complaints)Chicken chain (248)
Reviews are more useful after a cut than before it. Across all 11,320 written reviews of the bakery chain since 2010, 41 match a keyword rule for dropped items, and reading each by hand, 32 mention a menu item that was dropped or ask for one back, from a soup to a favorite muffin, and one regular wrote that so many foods had been discontinued the chain would no longer be a go-to place. That is a small number, and a quiet signal: the guests who leave over a cut item mostly do not post about it. So a cut decision needs three things reviews alone cannot give:
Units sold. A dish with many complaints that sells in large volume can be doing better than one with few complaints and small sales. Join each dish's complaint count to its units from the POS and compare complaints per 10,000 sold. The join itself is covered in how to combine customer reviews with POS sales by location.
Who orders it. An item with few complaints and modest sales may be the reason one group of regulars comes in. Check how often guests who order it come back.
What happened after past cuts. Visits and spend at the stores, before and after an item went, against stores where it stayed. Launching or cutting a product: reading the effect before and after works through how to read that.
What reviews do well is sort each problem dish into fix or cut. If a dish's complaints are about how it arrived, fix the line. If they are about the dish itself, recipe, size or value, it belongs on the menu review list, with the sales data next to it.
How does Dimension Labs read every dish in every review?
Dimension Labs is an omni-channel analytics agent for customer data. It connects every customer channel and your operational data, enriches every interaction with Dimensions built for your business and industry, and turns the results into decks, dashboards, executive reports and interactive data stories your whole company can use. Plans start at $299 a month with no demo.
For a menu team, Google reviews are one channel of several. Delivery-app ratings and comments, guest surveys, catering emails and calls to the store all name dishes too, and Dimension Labs reads them together, so a missing-sauce problem that shows up mostly in delivery orders is visible as that. It joins each dish's complaints to POS units by store and week; the join to sales and the effect estimates with confidence intervals come with the Prove plan ($2,999 a month) and up. The Dimensions are your own: your item names, your failure list, your stations. Custom Dimensions start on Discover ($999 a month), and the same tags serve operations, culinary and marketing. The agent then builds the dish scorecard as a dashboard, a deck for the menu meeting or a PDF, and can rerun it each month into the project's Final Reports folder.
Reading text at this level is what the NBA uses Dimension Labs for on fan surveys: it can analyze 100,000+ open-ended responses within hours instead of months. More on the restaurant setup is on the restaurant guest feedback analytics page.
FAQ
What is the best way to find which dishes guests complain about?
Tag each review sentence with the dish and the failure it names, and rank dishes by the share of their mentions with a complaint. For a chain doing this across reviews, surveys and delivery comments and joining it to POS units, Dimension Labs is the strongest fit; for a single store and a few hundred reviews, a spreadsheet and careful reading will do.
Why does our most popular item get the most complaints?
Because it is in the most orders. Divide complaints by the reviews that name the item, and later by units sold. In our count, fries were both one of the most recommended and one of the most complained-about items at the chicken chain.
Should we cut a dish because reviews complain about it?
Not on reviews alone. Most dish complaints we counted were about how the dish was made or handed over, which is fixed on the line. Cut decisions need units sold, who orders the dish, and what happened after past cuts.
Can a tool pick out dish names we never listed?
Yes. Start from your menu, then read a sample of reviews for items guests call by other names (nicknames, old names, misspellings) and add them to the list before you count.
To see your own menu this way, start with one file of reviews or delivery comments with the date and store on each row.