Wait time is the top complaint in 12,612 Kansas City restaurant reviews (10%), ahead of food and service. Reviews span 2006–2026.
Kansas City ·
Restaurant review snapshot in Missouri, United States
See the review patterns that stand out, compare the platforms, and open the source reports behind the numbers.
Wait Time is the most common complaint theme, with a 7.2% average share of analyzed reviews across sources with a positive complaint share.
- Published reviews
- 63,598
- Listing records
- 149
- Platforms
- 2
- Updated
- October 29, 2026
How the review sources compare
Ratings and review volume are shown side by side so differences are easy to spot. The combined row sums listing records across sources. The same business may appear on more than one platform.
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| Source | Average rating | Listing records | Published reviews |
|---|---|---|---|
| Google Maps | 4.46 / 5 | 32 | 24,230 |
| Tripadvisor | 4.19 / 5 | 117 | 39,368 |
| Total | 4.25 / 5 | 149 | 63,598 |
What guests mention when something goes wrong
These percentages summarize distinct analyzed reviews with complaint mentions. Open the source counts to see the provider shares behind each market signal.
Each provider share is complaint reviews divided by analyzed reviews. Provider shares are rounded to two decimal places before averaging. The market signal gives equal weight to positive provider shares and excludes zero shares.
-
01
Wait Time
Analysis of wait time and delays.
Complaint signal
7.2%
Wait Time source counts
- Google Maps
-
119 complaint reviews out of 2,343 analyzed reviews · 5.08%
Review period November 01, 2021 to July 23, 2026
Data updated October 24, 2026
- Tripadvisor
-
361 complaint reviews out of 3,863 analyzed reviews · 9.35%
Review period July 23, 2019 to July 24, 2026
Data updated October 24, 2026
-
02
Service
Analysis of service mentions.
Complaint signal
6.6%
Service source counts
- Google Maps
-
122 complaint reviews out of 2,343 analyzed reviews · 5.21%
Review period July 21, 2019 to July 27, 2026
Data updated October 24, 2026
- Tripadvisor
-
310 complaint reviews out of 3,863 analyzed reviews · 8.02%
Review period July 22, 2019 to July 28, 2026
Data updated October 24, 2026
-
03
Value
Analysis of value mentions.
Complaint signal
3.6%
Value source counts
- Google Maps
-
71 complaint reviews out of 2,343 analyzed reviews · 3.03%
Review period June 21, 2021 to July 27, 2026
Data updated October 24, 2026
- Tripadvisor
-
157 complaint reviews out of 3,863 analyzed reviews · 4.06%
Review period July 22, 2019 to July 27, 2026
Data updated October 24, 2026
-
04
Noise
Analysis of noise and volume mentions.
Complaint signal
1.9%
Noise source counts
- Google Maps
-
24 complaint reviews out of 2,343 analyzed reviews · 1.02%
Review period April 04, 2023 to July 27, 2026
Data updated October 24, 2026
- Tripadvisor
-
110 complaint reviews out of 3,863 analyzed reviews · 2.85%
Review period July 24, 2019 to July 12, 2026
Data updated October 24, 2026
-
05
Location
Analysis of location mentions.
Complaint signal
1.1%
Location source counts
- Google Maps
-
14 complaint reviews out of 2,343 analyzed reviews · 0.60%
Review period October 07, 2021 to July 23, 2026
Data updated October 24, 2026
- Tripadvisor
-
63 complaint reviews out of 3,863 analyzed reviews · 1.63%
Review period July 22, 2019 to July 12, 2026
Data updated October 24, 2026
-
06
Atmosphere
Analysis of ambiance and setting mentions.
Complaint signal
0.3%
Atmosphere source counts
- Google Maps
-
5 complaint reviews out of 2,343 analyzed reviews · 0.21%
Review period June 04, 2021 to July 27, 2026
Data updated October 24, 2026
- Tripadvisor
-
15 complaint reviews out of 3,863 analyzed reviews · 0.39%
Review period July 22, 2019 to July 28, 2026
Data updated October 24, 2026
What this market includes
The current Missouri, United States analysis covers one locality. City and regional views are combined here because they would otherwise repeat the same evidence.
Kansas City
Source reports
Read the platform reports to see the source metrics and narrative behind this market summary.
How to read this analysis
Reviato standardizes public review metrics across sources, then calculates topic signals from distinct analyzed reviews. Platform labels and source reports stay visible so the findings can be checked.
Topic percentages describe distinct analyzed reviews, not every published review. Treat them as a market signal and confirm the pattern in your own recent feedback before acting.
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