Customer Satisfaction Score (CSAT)

What is Customer Satisfaction Score (CSAT)?

Customer Satisfaction Score (CSAT) shows you how happy your guests are with one specific experience, whether that's a meal, a delivery, a booking or a conversation with your support team.

It is collected with a single question in a restaurant customer satisfaction survey, such as "How satisfied were you with your visit today?", answered on a scale of 1 to 5. Your score is the percentage of guests who choose one of the two highest answers.

Because CSAT is tied to a single moment, it is one of the fastest ways to see whether part of your guest experience is working as intended. It is also usually the first number to move when something changes, for better or worse.

Alongside Net Promoter Score and Customer Effort Score, CSAT is one of the three most widely used customer experience metrics. NPS itself was introduced by Fred Reichheld in a 2003 Harvard Business Review article.

How to calculate CSAT

Most businesses use the top-two-box method, in which only the two highest answers count as satisfied.

CSAT = (number of 4 and 5 answers ÷ total number of answers) × 100

Imagine 400 guests rate their visit this month and 340 of them answer 4 or 5. Your CSAT would be 340 ÷ 400 × 100 = 85%.

Some teams report the average score (for example 4.3 out of 5), or a top-box figure that counts only the 5s. Each of these tells a slightly different story, so it helps to choose one method, state it clearly in your reports and keep it consistent.

If your reporting tool lets you customize the metrics on your dashboard, naming the method in the metric itself (for example "CSAT, top-two-box") keeps every location reading the same number.

CSAT calculator

Enter how many guests gave each rating. You'll see your CSAT (top-two-box), your average rating and the margin of error.

What is a good CSAT score?

A "good" CSAT depends on your channel, your guests, your country and the way you run the survey. Many businesses treat 80% or higher as healthy, which is a useful rule of thumb to keep in mind.

For a picture of how satisfied US diners are overall, the ACSI Restaurant and Food Delivery Study 2026 (published in June 2026) is a helpful reference. On ACSI's 0–100 scale:

ACSI scores come from a national panel and a statistical model, so they describe the market as a whole. They work well as context for your own results, while your CSAT percentage reflects your own guests.

In practice, your most useful benchmarks are internal: your score from last quarter, and the gap between your strongest and weakest locations, measured in the same way. A location-by-location operator report helps you see that gap each week.

CSAT margin of error

Your CSAT is based on the guests who chose to answer, which makes it an estimate of how all your guests feel. Like any estimate, it comes with a margin of error. Because CSAT is a simple percentage, the 95% margin of error is approximately:

margin of error ≈ 1.96 × √( s × (1 − s) ÷ n ) × 100

Here s is your share of satisfied responses and n is the number of responses. For a CSAT of around 85%:

This explains why a small location's CSAT can move from 82% to 78% in a month with 60 responses without anything having changed. A movement of that size sits well within the margin of error.

CSAT vs. NPS vs. CES

These three metrics answer different questions, which is why most restaurant brands use more than one of them.

CSAT is the right choice when you want to understand how a specific visit, order or conversation went.

NPS is better suited to understanding whether guests will return and recommend you, which makes it a stronger signal of long-term loyalty.

CES focuses on how easy you make it to order, book or get help. It was popularized by the 2010 Harvard Business Review article "Stop Trying to Delight Your Customers" by Matthew Dixon, Karen Freeman and Nicholas Toman, which argued that reducing effort builds loyalty more reliably than exceeding expectations.

When to use CSAT

CSAT works best when each touchpoint has its own short survey, because you can then trace a problem back to the team responsible for it. The table below pairs common touchpoints with example questions.

After key moments in the guest journey

The most informative moments are usually a guest's first visit, their first online order, and any experience you have recently changed, such as a new menu or a new delivery partner. Feedback tied to these moments tells you clearly what is working.

After a support conversation

When a guest contacts your customer service team about a problem, a single CSAT question at the end of the conversation shows you whether the issue was resolved to their satisfaction. The guest still remembers how it was handled, so the answer is especially reliable.

Alongside attribute questions

Many brands follow the main question with a few quick ratings for food, service, speed, cleanliness and value. Comparing those ratings with overall CSAT reveals which part of the experience has the greatest influence on the score.

CSAT survey scales and formats

Whichever format you choose, clearly labeled endpoints and a consistent order (low to high, left to right) make the question easier to answer. Keeping the format unchanged once you start tracking protects the comparability of your results.

How to run a CSAT survey

A few principles make the difference between a CSAT program that produces noise and one that produces insight.

1. One touchpoint per survey. A question about "the food, the service and the music" can't be answered with a single number, so focused survey questions produce clearer results.
2. Timing close to the experience. Surveys sent within a few hours of the visit or delivery tend to receive more responses, and the answers reflect the details guests still remember.
3. A short format. One rating plus one optional question, such as "What could we have done better?", respects your guest's time. Each additional question tends to lower the response rate.
4. Consistent sampling. Surveying every guest in the same way keeps the score representative. Selective surveying, for example only after certain visits, introduces bias.
5. Context attached to every response. Location, channel, daypart, date and order details make each response traceable to its cause, which is how you discover customer insights behind the number.
6. Attention to the comments. The rating tells you that something went wrong, and the comment usually tells you what. Sentiment analysis helps you group thousands of comments into clear themes.
7. A closed loop. Replying to dissatisfied guests and sharing results with each location's team turns feedback into improvement. Some teams use an AI assistant to act on survey feedback as it arrives, which shortens the wait for an unhappy guest.

Pros and cons of CSAT

Advantages

• Quick for guests. A single question takes seconds to answer, which supports healthy response rates.
• Specific. Each score is tied to a touchpoint, so you know where to look when it changes, especially with operational insights broken down by location.
• Responsive. CSAT reacts within days when something changes, which makes it a useful early signal.
• Easy to communicate. A statement such as "85% of guests were satisfied" needs no explanation.
• Complementary. Used alongside NPS and CES, it contributes to a rounded picture of the guest experience.

Limitations

• Limited explanation. The score shows that guests were unhappy, and the reasons only become clear when you read the comments or run sentiment analysis on them.
• A tendency toward extremes. Guests with very good or very bad experiences are more likely to respond.
• A short-term view. A satisfied guest may still choose a competitor next time, so CSAT says relatively little about future loyalty.
• Outside influences. Weather, a delivery platform outage or a guest's own day can move scores in ways you can't control. Logging these events in an incident report helps you explain unusual dips later.
• Easy to compare inconsistently. Different scales, channels or top-box definitions produce scores that can't be compared fairly.

Sources of bias in CSAT

• Non-response bias. Guests whose experience was simply fine are the least likely to respond, which can make results look more polarized than reality.
• Timing bias. Surveys sent days later capture a vaguer and usually more moderate memory of the visit.
• Channel bias. QR codes, emails and app prompts reach different groups of guests, so scores from different channels are best compared with caution.
• Cultural response styles. In some countries people rarely choose the top of a scale, which lowers top-two-box scores without any real difference in experience.
• Social desirability. Guests asked in person, especially by the staff who served them, tend to give higher ratings.

How to improve your CSAT

Improving CSAT is mostly a matter of finding the few issues that affect the most guests and addressing them consistently.

1. Identify the driver. Comparing overall CSAT with your attribute scores and comments shows which part of the experience pulls the score down most.
2. Address the largest theme first. One recurring issue, such as cold delivery food or long weekend waits, often accounts for a large share of dissatisfied guests, so fixing it is a practical route to operational excellence.
3. Standardize the experience. Recipes, portion sizes, ticket times and packaging standards reduce the variation that produces low scores.
4. Recover individual guests. A prompt, personal reply to an unhappy guest can often preserve the relationship and the next visit. Customer recovery offers can help you win back unhappy guests.
5. Share results by location and shift. Teams improve faster when they can see their own scores and comments each week.
6. Judge trends over weeks and months. Considering the margin of error before reacting keeps your team focused on real changes.

Several restaurant brands that use Momos have shared their results. Paris Baguette achieved 97% CSAT, Sumo Sushi increased customer satisfaction to 97%, and Hash House A Go Go increased customer satisfaction by 23%.

Best CSAT tools for restaurants

The right CSAT tool depends on where your guests give feedback and how many locations you operate. For most restaurant brands, the key questions are whether a tool covers every channel (dine-in, delivery, online ordering and support), whether it reports by location, and how quickly feedback reaches the people who can act on it.

Before choosing, it is worth testing each option against your own channels and locations. A short pilot at a handful of locations usually shows quickly which tool your managers will actually use.

Common CSAT mistakes

• Mixing CSAT and the average rating. Reporting one as the other makes trends difficult to interpret.
• Changing the scale or wording. Even small changes break comparisons with earlier results.
• Reacting to small samples. Movements smaller than the margin of error often reflect chance.
• Combining several topics in one question. A single score can't describe food, service and atmosphere at once.
• Surveying too late. Responses collected days after the visit are fewer and less precise.
• Collecting scores without acting on comments. Guests notice when feedback leads to visible change, and response rates benefit as a result. Acting on feedback is what turns a survey into a customer experience program.

History of CSAT

CSAT has no single inventor. It grew out of general survey research, and in particular the rating scales that psychologist Rensis Likert introduced in 1932 in his monograph A Technique for the Measurement of Attitudes, the origin of the Likert scale.

As businesses began measuring customer satisfaction systematically in the 1970s and 1980s, the satisfaction question became a standard part of customer service and hospitality research.

You may also come across the American Customer Satisfaction Index (ACSI), founded in 1994 at the University of Michigan by Claes Fornell. It is a national index that surveys consumers about major companies and industries, restaurants included.

ACSI is a valuable industry reference, although it works differently from the survey you run yourself. Its scores come from a statistical model on a 0–100 scale, so they can't be compared directly with your CSAT percentage.