Tripadvisor
Complaint signal is 10.9%.
Praise signal is 60.9%.
Baseline signal is 9.8%.
Delta vs baseline is 1.1 points.
Product
Appearance
System
Topic
Service appears in 9.2% of analyzed complaint excerpts in this market.
Tripadvisor is above the baseline by 1.1 percentage points.
Share of complaint snippets where this topic appears by platform.
This metric tracks topic presence in complaint snippets, not positive versus negative sentiment split.
Balance is praise minus complaint for this topic on the same platform.
Complaint signal
7.6%
Praise signal
41.4%
Complaint signal
10.9%
Praise signal
60.9%
Compare Restaurants in United States with peer markets in other countries.
Google Maps
Global Restaurants baseline
7.1%
Tripadvisor
Global Restaurants baseline
9.8%
Compare complaint and praise mentions by source, including the available baseline.
Tripadvisor
Complaint signal is 10.9%.
Praise signal is 60.9%.
Baseline signal is 9.8%.
Delta vs baseline is 1.1 points.
Google Maps
Complaint signal is 7.6%.
Praise signal is 41.4%.
Baseline signal is 7.1%.
Delta vs baseline is 0.5 points.
This is the largest measured difference between the current market and its available baseline.
Tripadvisor
1.1pp aboveCurrent signal is above baseline by 1.1 points (current 10.9%, baseline 9.8%).
Google Maps
0.5pp aboveCurrent signal is above baseline by 0.5 points (current 7.6%, baseline 7.1%).
These themes appear most often in the analyzed excerpts for this market.
Horrible service.
Terrible service
Terrible service.
Great service.
Great service!
Great food and service.
Service was slow.
Terrible service
Terrible service.
Great service.
Service was excellent.
The service was excellent.
These excerpts show the review language behind the measured signal.
We argued logically with her and she said that we were being “rude.” She googled “are dogs allowed in restaurants in nyc?” and then shoved her phone into my sisters face, saying “read this out loud.” my sister read “No, dogs are not allowed in restaurants, except service dogs.” She kept interrupting my sister before she could get the service dog part out.
Review rating: 2.0
My only complaint was that the service felt a bit rushed; I know they are used to the pre-theater crowd, but we felt pressured to finish our appetizers quickly.
Review rating: 4.0
The waiting staff are inexperienced and therefore not helpful.
Review rating: 1.0
Coverage
2316 insight listings mention Service in this scope.
Signal strength
Complaint signal is 9.2% across available platforms.
Praise signal is 51.1% across available platforms.
Next step
Pick one issue worth checking, then use recent reviews to see whether the pattern is still present.
This Restaurants view keeps the evidence focused on one business type in United States. Compare its complaint and praise rates with the broader country topic before treating the pattern as category-specific. Check the source mix and review excerpts, then use your own recent feedback to decide whether the same issue deserves attention.
Use the Service signal to decide where to look, then check it against recent feedback from your own Restaurants.
Check how much evidence is available and when it was last updated before relying on the finding.
Reviews analyzed
209,005
Collected reviews: 4,794,376 · Analysis coverage: 4.4%
Platforms covered
2
Last update
September 15, 2026
Open the source reports behind this topic to check the platform metrics and surrounding analysis.
Google Maps
RestaurantsCleanliness appears in the Google Maps review sample for Seattle restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Tripadvisor
RestaurantsLocation appears in the Tripadvisor review sample for Seattle restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
RestaurantsCleanliness appears in the Google Maps review sample for New York restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Tripadvisor
RestaurantsNoise appears in the Tripadvisor review sample for New York restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
RestaurantsCleanliness appears in the Google Maps review sample for Dallas restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Tripadvisor
RestaurantsNoise appears in the Tripadvisor review sample for Dallas restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
RestaurantsNoise appears in the Google Maps review sample for Boston restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Tripadvisor
RestaurantsNoise appears in the Tripadvisor review sample for Boston restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
RestaurantsNoise appears in the Google Maps review sample for Las Vegas restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Tripadvisor
RestaurantsAtmosphere appears in the Tripadvisor review sample for Las Vegas restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
RestaurantsCleanliness appears in the Google Maps review sample for Buffalo restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Tripadvisor
RestaurantsNoise appears in the Tripadvisor review sample for Buffalo restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
RestaurantsCleanliness appears in the Google Maps review sample for San Francisco restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Tripadvisor
RestaurantsLocation appears in the Tripadvisor review sample for San Francisco restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
RestaurantsCleanliness appears in the Google Maps review sample for Orlando restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Tripadvisor
RestaurantsValue appears in the Tripadvisor review sample for Orlando restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
RestaurantsNoise appears in the Google Maps review sample for Chicago restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Tripadvisor
RestaurantsAtmosphere appears in the Tripadvisor review sample for Chicago restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
RestaurantsCleanliness appears in the Google Maps review sample for Miami restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Tripadvisor
RestaurantsCleanliness appears in the Tripadvisor review sample for Miami restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
RestaurantsCleanliness appears in the Google Maps review sample for Kansas City restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Tripadvisor
RestaurantsLocation appears in the Tripadvisor review sample for Kansas City restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
RestaurantsAtmosphere appears in the Google Maps review sample for Philadelphia restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Tripadvisor
RestaurantsLocation appears in the Tripadvisor review sample for Philadelphia restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
RestaurantsNoise appears in the Google Maps review sample for Los Angeles restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Tripadvisor
RestaurantsAtmosphere appears in the Tripadvisor review sample for Los Angeles restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
RestaurantsCleanliness appears in the Google Maps review sample for Atlanta restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Tripadvisor
RestaurantsNoise appears in the Tripadvisor review sample for Atlanta restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
RestaurantsCleanliness appears in the Google Maps review sample for Houston restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Tripadvisor
RestaurantsNoise appears in the Tripadvisor review sample for Houston restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Compare this finding with another topic or a broader market.
This page covers Restaurants in United States. Compare regions and cities to see where the pattern is strongest.
See how Service changes across a more specific category or region.
Compare other themes in United States, Restaurants to see whether this finding stands alone or belongs to a wider pattern.
Compare the broader market or return to the topic library.