Customer effort score is a survey metric that measures how easy it was for a customer to complete a specific task, such as resolving a support issue. It is calculated by asking one question after the interaction and averaging the answers on a scale, most often from 1 (very difficult) to 7 (very easy). Organizations favor it because it is tied to a single moment and tends to point directly at friction that can be removed.
In brief: customer effort score (often abbreviated to CES) is the most diagnostic of the three common satisfaction metrics, because it asks about the process rather than the relationship. It complements customer satisfaction and loyalty measures rather than replacing them, and it is strongest when attached to a defined support transaction.
What is customer effort score and where did it come from?
The metric was popularized by research from the Corporate Executive Board, later part of Gartner, which argued that reducing the work a customer must do to resolve a problem is a more reliable lever than attempting to exceed expectations. The practical reading for support leaders is straightforward. Customers rarely remember an interaction as delightful, but they remember clearly when they had to repeat themselves, switch channels, or chase an answer.
CES is therefore a transactional metric. It is collected immediately after a defined event, such as a closed ticket, a completed chat, or a finished self-service flow, and it describes that event. This differs from a relationship metric such as Net Promoter Score, which asks about the company as a whole and is usually collected on a schedule. The distinction matters when interpreting results, a point covered in more detail in our guide to customer satisfaction metrics.
Within the wider set of customer support KPIs, CES occupies the quality side of the ledger. It sits alongside operational measures such as first response time and resolution rate, and it often explains movements in them. A team can meet its response targets and still score poorly on effort if customers must contact it several times to reach an outcome.
How should the customer effort score survey question be worded?
The wording determines whether the data can be trusted, so it deserves more attention than it usually receives. The most widely used form is an agreement statement: "The company made it easy for me to handle my issue." Respondents then select from strongly disagree to strongly agree. An alternative is a direct question: "How easy was it to get your issue resolved today?" with a scale from very difficult to very easy.
Three drafting principles apply. First, the question should name a single, concrete interaction, not the overall relationship. Second, it should be neutral, avoiding phrases that suggest the desired answer. Third, the scale should be labeled at both ends, and the direction should stay consistent across every survey the organization runs, because reversing the direction between teams produces averages that cannot be compared.
A follow-up open question is worth including, particularly for low scores. Asking "What made this difficult?" converts a number into a cause, and the free-text answers are usually where the most actionable findings appear. For guidance on collecting this feedback without depressing response rates, see our overview of how to collect customer feedback.
What scale does CES use, and what is the CES formula?
Two scales are common. The seven-point scale runs from 1 (strongly disagree or very difficult) to 7 (strongly agree or very easy). A five-point scale is also used, particularly where the organization wants to align it with its existing CSAT survey. Whichever is chosen, it should stay fixed for long enough to establish a trend.
There are two accepted ways to calculate the result. The average method states that the customer effort score equals the sum of all response values divided by the number of responses. As a worked example, ten customers respond with 7, 6, 6, 5, 7, 4, 3, 6, 5 and 6. The total is 55, and 55 divided by 10 gives a score of 5.5 on the seven-point scale.
The percentage method states that CES equals the number of favorable responses divided by the total number of responses, multiplied by 100, where favorable usually means a rating of 5, 6 or 7 on the seven-point scale. In the same example, eight of the ten responses are 5 or higher, so the favorable percentage is 80 percent. Many teams report both figures, because the average can conceal a long tail of difficult experiences while the percentage can conceal how strongly customers feel.
The customer effort score calculator automates both methods. Entering the number of responses at each point on the scale returns the average, the favorable percentage and the share of respondents who reported high effort.
What is a good customer effort score?
Published benchmarks for CES vary considerably because they depend on the scale, the question wording, the channel and the industry, and few are drawn from comparable methodologies. For that reason this article does not cite a universal target. A figure quoted without its scale and wording is not a benchmark.
A more defensible approach is internal. Establish a baseline over a full quarter, segment it by contact reason and channel, and then measure movement against that baseline. Two findings are generally more informative than the absolute number. The first is the gap between contact reasons: if billing questions score well below order status questions, the process behind billing is the first candidate for redesign. The second is the difference between channels, which often shows whether customers who must move from chat to email to phone report materially higher effort.
When setting a goal, express it as a direction and a share of respondents, for example reducing the proportion of high-effort responses on refund requests, rather than as a headline score that invites debate about comparability.
When does CES beat CSAT?
CES is the stronger choice when the objective is to improve a specific process. CSAT asks whether the customer was satisfied, which blends the quality of the agent, the outcome, the policy and the customer's mood on the day. A customer can be satisfied with a courteous agent while still having spent forty minutes on a task that should take five. CES isolates the second element, which is typically the one an organization can redesign.
CES is also the better indicator in self-service and automated journeys, where there is no agent whose manner can inflate the score. When a customer completes a refund through a chat flow or finds an answer in a help article, effort is the central question. The customer satisfaction score remains more suitable for judging a human interaction, and the Net Promoter Score remains more suitable for tracking loyalty over time.
The practical conclusion for most support teams is to use all three, each for its own purpose, and to avoid the temptation to collapse them into one number. Our companion article on customer satisfaction metrics sets out a framework for deciding which to run and when.
How can support teams reduce customer effort?
Reducing effort is largely a matter of removing repetition and handoffs. Customers report high effort when they must restate the problem to a second agent, when they cannot find a policy that should be visible, or when a simple action such as changing an order requires a conversation. Each of these has a structural remedy: shared case history, a maintained knowledge base, and self-service actions for routine requests.
Automation can contribute where it is configured to complete tasks and not merely to deflect them. Bund AI, an AI agent for sales and customer support that works through a web widget and a real email inbox, can run built-in actions such as tracking an order or processing a refund, and it can hand a conversation to a person with the full transcript attached so that the customer is not asked to start again. The self-service actions and escalation handoff pages describe how those two behaviors work, and our article on when AI should hand off covers the judgment involved.
Speed also affects perceived effort, because waiting is a form of work for the customer. The relationship is explored in our guide to first response time.
What are the limits of customer effort score?
CES has recognized weaknesses. Response rates for post-interaction surveys are often low, and those who answer tend to be at the extremes, so the results may not represent the whole customer base. The metric also describes a single transaction and says little about whether the customer will stay, which is why it should be read alongside retention data such as that discussed in our article on retention, churn and lifetime value.
Interpretation requires care for a further reason. Low effort is not always desirable: some interactions, such as identity verification for a high-value refund, are deliberately demanding, and removing the friction would reduce security. Organizations should therefore compare effort against what the task requires and not pursue the lowest possible score everywhere.
Frequently asked questions
What is customer effort score? Customer effort score is a survey metric that captures how easy it was for a customer to complete a task, such as resolving a support issue. It is collected right after the interaction through a single question and summarized as an average or a favorable percentage.
What is the customer effort score formula? The average method divides the sum of all responses by the number of responses. For ten responses totaling 55 on a seven-point scale, the score is 5.5. The percentage method divides favorable responses (5 to 7) by total responses and multiplies by 100, which gives 80 percent when eight of ten respondents are favorable.
How do I use a customer effort score calculator? Enter how many customers chose each point on your scale, and the customer effort score calculator returns the average, the favorable percentage and the share reporting high effort. Record the scale and wording alongside the result so later surveys remain comparable.
What does CES stand for, and how is it different from CSAT? CES stands for customer effort score. CSAT measures how satisfied a customer was with an interaction, whereas CES measures how much work the customer had to do. CES is usually more useful for finding process friction, and CSAT for judging the quality of a human exchange.
What is a good CES score? There is no single reliable benchmark, because scores depend on the scale, wording, channel and industry. A better test is to set an internal baseline, segment it by contact reason, and track whether the share of high-effort responses falls over time.
When should a company measure CES? Measure it immediately after a defined transaction such as a closed ticket, completed chat or finished self-service flow. Sending it on a calendar schedule turns it into a general sentiment question and weakens its diagnostic value.