What it means
The survey usually asks customers to agree or disagree with a statement like "the company made it easy for me to handle my issue" immediately after an interaction. Responses on a one-to-seven scale are averaged, with seven meaning strongly agree, so a higher score is better.
Some organisations use a reversed scale where low means easy, which is why the direction should always be stated on the chart. It matters because effort is a strong predictor of whether customers stay.
People rarely leave because a company failed to amaze them, but they leave readily after being transferred four times, asked to repeat their account number, or forced to phone about something that should have taken one click. Effort scores put a number on that friction so it can be managed.
The score is used transactionally rather than as an annual relationship measure. Teams attach it to specific journeys, such as returns, onboarding or a billing query, then compare scores across those journeys to find the worst one.
Because it is journey-specific, it points directly at what to fix, which is its main advantage over broader loyalty metrics. Alongside the average, most teams report the top-two-box percentage, meaning the share of customers choosing six or seven.
Averages hide distributions, and a business with many scores of seven and a stubborn tail of ones has a different problem from one where everybody answers four or five. Reading both together is standard practice.
The obvious limitation is that effort scores measure the ease of an interaction, not whether the outcome was right or the price fair. A customer can find it very easy to be told no, and will still leave.
Effort score belongs in a set alongside satisfaction, retention and complaint data rather than standing alone.
In practice
Real-world examples.
Example
An insurance company measures effort score separately for claims and for policy renewals. Renewals score 6.2 while claims score 4.1, which directs the improvement budget towards the claims journey rather than spreading it evenly across both.
Example
A telecoms provider finds that customers who need two or more contacts to resolve an issue score a full two points lower on effort than those resolved first time. The support director uses this to justify investment in agent training and better knowledge tools.
Example
An e-commerce retailer adds an effort question to its returns confirmation email. Scores rise from 4.8 to 6.1 after the business introduces printable labels and drop-off points, and the repeat purchase rate among returning customers rises alongside it.
Think of it
“CES shows how hard customers have to work to deal with you-the effort they must expend.
Formula
Calculation
Customer Effort Score = Sum of All Response Scores / Number of Responses
A software company surveys customers after every support ticket using a one-to-seven ease scale. In one month it collects 500 responses, distributed as follows: 150 people scored 7, 180 scored 6, 100 scored 5, 50 scored 3, and 20 scored 1.
Sum of scores = (150 x 7) + (180 x 6) + (100 x 5) + (50 x 3) + (20 x 1)
Sum of scores = 1,050 + 1,080 + 500 + 150 + 20 = 2,800
Customer Effort Score = 2,800 / 500 = 5.6
The average effort score is 5.6 out of 7. The top-two-box figure is the 150 sevens plus the 180 sixes, so (330 / 500) x 100 = 66% of customers found the process easy. The 70 customers scoring 3 or 1 are the ones worth interviewing, because they are where the fixable friction lives.Case study
Seen in the real world.
The following example is illustrative and the business is fictional. Kestrel Utilities, an invented energy supplier, had a satisfaction score that looked perfectly acceptable at 78%, yet churn was running well above the level the board expected. Exit surveys were vague, so the customer director introduced an effort question after every billing contact.
The average came back at 3.9 out of 7, and the breakdown showed the problem clearly. Customers querying a bill were being asked to confirm their identity twice, then transferred from the general line to a billing team that only worked mornings, and 40% needed a second call. Satisfaction with the eventual answer was fine, but getting to the answer was exhausting.
Kestrel gave first-line agents the authority to adjust bills up to $75 and extended billing cover to full days. Over the following six months the effort score for billing contacts moved from 3.9 to 5.7 and repeat contacts fell by roughly a third. The illustrative lesson is that a comfortable satisfaction score can sit on top of a journey that is quietly driving customers away.
Watch out
Common mistakes.
- Sending the effort survey days after the interaction. Effort is remembered accurately for hours, not weeks, so a delayed survey measures general mood rather than the specific experience.
- Reporting the average alone. A mean of 5.6 can describe a mostly happy base with a painful minority, and the tail is where the actionable problems sit.
- Mixing scale directions across teams. If one team uses seven as easy and another uses one as easy, the combined reporting is meaningless until the direction is standardised.
Questions
People also ask.
Is a higher customer effort score always better?
On the standard one-to-seven agreement scale yes, because seven means the company made it easy, but some older versions reverse the scale, so always confirm the direction before comparing.
How does it differ from net promoter score?
Effort score measures a single interaction and predicts whether friction will drive someone away, while net promoter score measures overall willingness to recommend the brand.
What counts as a good score?
Most organisations aim for an average above 5 out of 7 with a top-two-box share above 60%, but the more useful target is steady improvement in your own worst-scoring journey.
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