Customer Effort Score Calculator
Enter how many responses you received for each point on your 1–7 agreement scale (e.g. how easy it was to get help). Higher average scores mean customers found the experience easier.
For each point on the 1–7 scale, enter how many people chose that response (e.g. agreement that it was easy to resolve their issue).
Average CES (1–7)
—
- 0.0%1 · Strongly disagree
- 0.0%2 · Disagree
- 0.0%3 · Somewhat disagree
- 0.0%4 · Neutral
- 0.0%5 · Somewhat agree
- 0.0%6 · Agree
- 0.0%7 · Strongly agree
Frequently asked questions about CES
CES (Customer Effort Score) measures how easy customers found it to get something done—such as resolving a support issue, completing onboarding, or finishing a purchase. A common format is a 1–7 agreement survey (e.g. from "Strongly disagree" to "Strongly agree" that the company made it easy to handle the situation). Unlike CSAT, which measures satisfaction, CES focuses on friction; less friction is strongly linked to loyalty and retention.
With a 1–7 scale, CES is the mean score across all responses—equivalent to weighting each point by how many people chose it:
CES = Sum of (Score × Number of Responses) ÷ Total Responses
Example: 4 responses: two people chose 6, one chose 5, one chose 3.
Sum of scores = 6 + 6 + 5 + 3 = 20. CES = 20 ÷ 4 = 5.0.
On this agreement-style scale, a higher average usually means more customers felt the interaction was easy.
Enter the count of responses for each value from 1 to 7. The tool computes your average CES, shows it on a gauge from 1 to 7, reports the percentage who agreed (scores 5–7), and lists the share in each category. No spreadsheets required.
On a 1–7 agreement scale, a higher average generally indicates customers experienced less effort. Many teams also track the share of respondents who select 5, 6, or 7 (agreement that it was easy).
Exact benchmarks depend on your question wording and channel; what matters most is trending the same question over time and after the same touchpoints.
CES is most valuable right after a specific interaction while the experience is fresh—for example:
- After a support ticket is resolved
- After onboarding or setup steps
- After a complex product flow or checkout
Unlike NPS (often periodic), CES is usually transactional: one clear moment, one clear question.
| Metric | Measures | Best used after |
|---|---|---|
| CES (Customer Effort Score) | How easy it was to complete a task | A specific support or product interaction |
| CSAT (Customer Satisfaction Score) | How satisfied the customer is right now | An interaction, purchase, or experience |
| NPS (Net Promoter Score) | How likely they are to recommend you | Periodically, for overall brand loyalty |
CES answers "Was it easy?" CSAT answers "Were you happy?" NPS answers "Would you recommend us?" Together, they give you a fuller view of customer experience.
Research consistently shows that reducing customer effort is more predictive of loyalty than simply "delighting" people. When customers repeat themselves, hit dead ends, or wait too long, they churn. Measuring CES helps you spot and remove friction at the moments that matter—leading to better retention and often lower support cost.
High-impact tactics include:
- Resolve issues on first contact when possible—fewer handoffs and callbacks
- Simplify onboarding and in-product guidance
- Invest in self-service (help center, clear FAQs, automation)
- Shorten paths for checkout, returns, and common support tasks
- Follow up on low scores to find the specific friction, and pair CES with CSAT to separate effort from satisfaction
Yes. This page gives you a one-off calculation; Elvan CES software helps you run it continuously. You can:
- Trigger CES surveys after resolutions, onboarding, or key product events
- Collect responses in-app, by email, or via shared links
- Track CES (and CSAT/NPS) over time in one place
Use the calculator above for a snapshot, then explore Elvan's CES tools to automate collection and reporting.
Aim for at least 100 responses per slice (e.g. per journey or channel) when you want stable averages. Smaller teams often start with 30–50 responses for directional insight. Measuring the same question after the same type of event makes week-over-week or month-over-month comparisons meaningful.