Key Takeaways
- Customer effort score (CES) measures how easy it is for customers to get what they need from you, resolve an issue, complete a purchase, or use your product.
- CES is calculated by averaging survey responses on a 1–7 scale. A score of 5.5 or above is considered strong across most industries.
The customer effort score formula is simple: total sum of responses ÷ number of responses. - According to Gartner (2022), 96% of customers who face a high-effort experience will switch to a competitor compared to just 9% after a low-effort one.
- Reducing effort is more predictive of retention and lifetime value than satisfaction or delight alone.
Customers do not leave because they were unhappy in the moment. Customers abandon the service when they encounter excessive challenges. The process becomes difficult because it requires users to complete multiple steps and transfer between different systems, and face various challenges. The customer effort score (CES) quantifies customer difficulties, which enables your support team to establish improvement objectives.
The complete guide provides your team with all the necessary information for the measurement of CES, which includes customer effort score survey implementation, result computation, and good score determination and score reduction procedures.
Table of Contents
What is customer effort score (CES)?
The customer effort score functions as a customer experience measurement tool which assesses the amount of effort customers need to expend for completing their interactions with your business. The customer interaction includes resolving a billing dispute, completing onboarding, making a return, and navigating your self-service portal.
The metric was introduced in a 2010 Harvard Business Review article, “Stop Trying to Delight Your Customers,” by researchers at the Corporate Executive Board (now part of Gartner). Their core finding: reducing effort is a stronger predictor of loyalty than exceeding expectations. That insight still holds up.
A CES survey typically asks one question immediately after an interaction:
“How easy was it to resolve your issue today?”
Responses are collected on a scale (usually 1–7), and the average becomes your CES score. Higher scores mean lower effort, which is what you want.
How CES differs from NPS and CSAT
All three metrics serve different purposes, and none fully replaces the others.
| Metric | What it measures | Best used for |
| CES | Effort required to complete an interaction | Identifying friction and churn risk |
| CSAT | Satisfaction with a specific moment | Quick pulse checks after support interactions |
| NPS | Likelihood to recommend the brand | Measuring long-term loyalty |
The key distinction: a customer can walk away satisfied (high CSAT) but still churn if every interaction feels like a workout. CES surfaces the hidden effort that satisfaction scores miss.
How to measure customer effort score?
Measurement comes down to three decisions: what to ask, when to ask it, and which channel to use.
What to ask
The standard CES survey question is a single statement or question. Common formats include:
- “How easy was it to resolve your issue?” (Agree/Disagree or 1–7 numeric)
- “The company made it easy for me to handle my request.” (Strongly agree to strongly disagree)
- “How much effort did you personally have to put in to handle your request?” (Very little to very high)
Keep it to one question. Follow it with an optional open-text field “What could we have made easier?” to capture the qualitative signal behind the number.
When to ask it
Timing is everything with a CES survey. Send it within 24 hours of the interaction, while the experience is still fresh. The highest-value trigger points are:
- After a support ticket is closed
- After an onboarding session completes
- After a purchase or account change is made
- After a customer uses a new feature for the first time
Do not send CES surveys at random intervals or during ongoing issues. You want to record complete interaction results because you want to avoid capturing mid-process frustration.
Which scale to use
The 1–7 scale is the industry standard for CES customer effort score measurement. The mapping system works as follows: 1–3 indicates high effort, which creates a problem, and 4–5 creates a neutral response, and 6–7 indicates low effort, which should be preferred. Some teams use a 1–5 or even Likert-style (strongly disagree to strongly agree) format. The specific scale matters less than applying it consistently so you can track trends over time.
How to calculate customer effort score?
The customer effort score formula is straightforward.
CES = Sum of all response scores ÷ Total number of responses
Customer effort score example:
You send a post-resolution survey to 8 customers. Their responses on a 1–7 scale are: 6, 7, 5, 4, 6, 7, 5, 6.
Sum = 46 Number of responses = 8 CES = 46 ÷ 8 = 5.75
The score shows a strong rating, which indicates most customers experienced simple interactions, although two 4s and 5s require further examination.
What counts as a good customer effort score?
The reference provides practical industry benchmarks that evaluate performance on a 1-7 scale but lacks a universal standard.
Industry | Strong CES | Average CES | Needs work |
SaaS/software | 6.0+ | 5.2–5.5 | Below 4.5 |
Financial services | 5.8+ | 4.9–5.2 | Below 4.2 |
Retail/e-commerce | 6.2+ | 5.3–5.6 | Below 4.8 |
Telecommunications | 5.5+ | 4.7–5.0 | Below 4.0 |
Healthcare | 5.9+ | 5.0–5.3 | Below 4.3 |
A good customer effort score sits at 5.5 or above on a 1–7 scale across most categories. Top-performing support teams consistently hit 6.0–6.3. Anything below 4.5 is a retention risk not just a CX problem.
What types of CES questions work best?
No standard format exists that fits every situation. Your specific requirements determine which question to ask.
- Likert scale questions: Customers rate a statement from “strongly disagree” and “strongly agree. The statement: “The support team made it easy to resolve my issue” works as a positive statement which needs customer agreement during support interactions.
- Numeric scale questions: Ask customers to rate effort on a 1-7 or 1-10 scale. The system provides speed and efficiency while it produces results which can be easily combined. The solution functions most effectively in contact centers that handle high volumes of incoming calls and need quick survey completion.
- Emoticon / visual scale surveys: Three or five faces (frustrated to delighted) give a quick read. The system requires less effort from users to respond, yet generates data results which lack detailed measurements. In-app micro-surveys can benefit from this method.
- Two-question surveys: Pair a numeric rating with an open-ended follow-up: “What made this interaction feel difficult?” The system provides a qualitative context which enables your team to respond to low scores through action instead of counting them only.
The combination of a numeric scale and one open-text field provides support teams with an effective method to handle data while maintaining accurate results and generating useful information.
How to create an effective CES survey?
A survey that gets ignored does nothing. Here is what separates surveys that drive action from ones that collect dust.
- Keep it short. One primary question. One optional follow-up. Customers who just closed a ticket are not in the mood for a ten-question form.
- Trigger it immediately. The response system needs to deliver immediate answers because it must send results within 24 hours after ticket resolution and interaction completion. The response rates and data quality both decrease rapidly after 48 hours.
- Match the channel to the interaction. The channel selection needs to match with how the customer interacts with your business. The customer who solved their problem through chat needs to receive the survey through both chat and email. SMS surveys usually deliver better results than email surveys when the customer made contact through phone calls.
- Be specific in your question. The question “How easy was it to resolve your issue today?” delivers better results than the unqualified question “How was your experience?” The specific nature of the question allows the respondent to provide precise feedback.
- Route low scores immediately. The workflow system should create a process to treat all scores below 3 as urgent needs which must be addressed within one hour. A low CES score represents more than a data point because it shows that a customer remains in danger of leaving your business.
- Sample the right volume. The organization should contact enough participants to reach targets of 50 to 100 responses, which should come through each channel on a monthly basis. Your averages will become unstable because of single outliers if you collect less than that number.
How to improve your CES score?
Improving CES is not about making customers feel better. It is about removing the actual steps, delays, and friction that make interactions hard. Here is a practical framework.
1. Create a friction map
The process needs to identify the areas which require the most effort before starting work on solutions. Your CES data should be divided into three categories which include different channels and types of issues and different customer groups. The patterns will show you which touchpoints require the most operational resources. Onboarding, billing disputes, product returns, and password or account recovery processes represent common high-effort areas.
2. Eliminate all nonessential procedures
The process requires you to examine your five most challenging workflows and determine which elements should be completely removed from the system. Customers should not have to repeat their account information three times, navigate four menus to find a phone number, or wait 48 hours for a response to a simple question. The elimination of every step leads to direct time savings which customers experience as less effort needed to complete their tasks.
3. Create successful self-service systems through dedicated funding
A support team needs to create a well-built knowledge base because it delivers one of the best return on investment improvements for their operations. The 2023 Gartner study showed that customers who use self-service to solve problems achieve better results than those who contact support but this only happens when self-service content meets three criteria. Outdated FAQs create more damage to users than having no information at all.
4. Improve the number of issues resolved during the first customer contact
The effort required from customers increases with every instance they need to contact support again or respond to existing threads or undergo customer transfer. Teams which achieve first-contact resolution (FCR) rates above 80 percent maintain customer effort scores (CES) of 6.0 or higher throughout their operations. The solution requires organizations to provide their agents with both the power to solve problems and the complete knowledge base
5. Empower your agents
The agents who need to make repeated approval requests while needing to check with their supervisors and put customers on hold create friction which directly affects customer effort score. Your team should receive the power to decide common solutions which include processing refunds that fall below specified limits and issuing service credits and handling account exceptions. The speed improvement multiplies its effects across multiple interactions.
6. Use customer effort analytics to spot patterns before they become trends
The tools for customer effort analytics which include conversation intelligence platforms can detect friction signals during live call and chat sessions without needing to wait for completed surveys. The phrases “I already told the last agent this” and “Why do I have to do this again” function as effort indicators because customers keep using them. You can identify process gaps through conversation data which you can address before the next CES dip appears on your dashboard.
Customer experience metrics that signal CES trends
CES does not exist in isolation. Several supporting metrics function as early warning signals for effort changes often before your survey data reflects them.
- Average handle time (AHT): Agents who need additional time to handle their cases. The rise of AHT causes CES to increase because people require more time to complete their tasks.
- First-contact resolution (FCR): The most accurate method to predict CES uses first-contact resolution. Customer effort increases when FCR drops by 1%, which produces a direct relationship between the two variables. Keep track of these items as a combined unit.
- Repeat contact rate: Customers who contact support more than once about the same issue are experiencing high effort by definition. The repeat contact rate shows an upward trend, which serves as an initial warning that CES will decline.
- Request wait time: Customer effort increases when customers wait longer for their first response because their response time assessment rises. Three key factors from IBM research determine poor customer effort scores most effectively, according to their findings.
- Agent transfers per interaction: Each transfer adds effort. Each customer who moves between frontline, tier 2, and specialist support encounters three different friction points. Track agent transfers as a standalone metric and set a ceiling.
- Self-service containment rate: Self-service systems fail when customers need help from live agents after starting their self-service process. The presence of high escalation rates, which occur from help centers and IVR systems, indicates that customers will experience increasing effort before they file their first ticket.
You need to evaluate these metrics every week, together with your CES score. The simultaneous movement of multiple signals in one direction provides sufficient evidence for your decision-making process, which extends beyond mere speculation.
Customer effort score software worth knowing
The right customer effort score software depends on team size, integration needs, and whether you want survey-based measurement, analytics-based measurement, or both.
- Survey and feedback platforms: Tools such as Qualtrics, Delighted, and SurveyMonkey provide users with an easy way to create and distribute CES surveys at various interaction points. Zendesk provides direct CES survey functionality through its support system, which enables teams who use that platform to implement the survey with minimal effort.
- Conversation intelligence tools: Enthu.ai provides a platform that uses real call and chat transcript analysis to identify customer effort indicators from actual customer interactions. This is especially valuable for contact centers where survey response rates are low or where you need a faster signal than post-survey data provides.
- CRM-embedded options: HubSpot Service Hub and Freshdesk include CES and CSAT tracking within their support modules. The system allows you to collect all customer health information into a single database while eliminating the need for different survey instruments.
The best setup for most teams: a survey tool for structured CES data, paired with a conversation analytics layer for the signal that surveys miss.
FAQs
1. What's the difference between CES and CSAT?
CSAT measures satisfaction (“Are you happy?”), while CES measures effort (“Was it easy?”). A customer can be satisfied but still leave if the effort was too high. CES is more predictive of retention.
3. What's a good Customer Effort Score?
A: On a 1-7 scale, 5.5+ is considered strong across most industries. Anything below 4.5 indicates significant friction and churn risk. Top performers achieve 6.0-6.5.
3. How often should I measure CES?
Measure CES after every key customer interaction (support tickets, purchases, onboarding, feature usage). Aim for at least 50-100 responses per month to identify trends.
4. What's the relationship between CES and churn?
Strong relationship. Gartner research shows 96% of customers will switch after a high-effort experience, while only 4% will switch after a low-effort experience. A 1-point CES improvement can reduce churn by 5-10%.
5. Should I use a 1-7 or 1-10 scale for CES?
The 1-7 scale is industry standard and recommended. It provides clearer distinction between positive (6-7), neutral (4-5), and negative (1-3) responses. The 1-10 scale is more granular but can be confusing.
6. How do I improve Customer Effort Score?
Focus on: (1) identifying high-effort touchpoints, (2) streamlining processes, (3) investing in self-service, (4) empowering support teams, (5) leveraging automation, and (6) measuring & iterating continuously.
