Customer effort score is a customer experience metric that measures how easily users complete a task or resolve an issue in software. It is usually collected through a short post-interaction survey. In digital products, CES helps teams identify friction in onboarding, self-service, checkout, account management, and support flows.
Customer Effort Score
What Is Customer Effort Score?
Customer effort score, or CES, measures how easy users feel a software task was. It helps product, support, and engineering teams find friction in password resets, integrations, documentation searches, and support requests.
CES measures perceived effort, not just task completion. A task can succeed but still require too many screens, unclear instructions, repeated data entry, or a support handoff.
How Customer Effort Score Works
Measure CES immediately after a meaningful interaction.
- Select a high-value journey, such as account setup or an integration connection.
- Trigger a one-question survey after completion, cancellation, or support resolution.
- Define whether higher scores mean easier or harder experiences.
- Calculate the average score or share of low-effort responses.
- Segment results by device, plan, feature, or support channel.
- Review product events, funnel data, and support records.
Customer Effort Score Formula and Survey Scales
Use the same question and scale for each journey. Do not compare differently worded or reversed scales.
| Method | How it works | Example |
|---|---|---|
| Average score | Total response scores divided by respondents | 21 points from 5 responses = 4.2 |
| Low-effort percentage | Low-effort responses divided by all responses | 40 of 50 users report low effort = 80% |
| Ease scale | Usually 1 to 5 or 1 to 7, from difficult to easy | “How easy was it to connect your account?” |
| Agreement scale | Users rate agreement with an effort statement | “The app made this task easy.” |
Customer Effort Score vs. CSAT and NPS
These metrics answer different questions and work best together.
| Metric | Question answered | Best software use case |
|---|---|---|
| CES | How easy was this task? | Onboarding, support, forms, and self-service |
| CSAT | How satisfied was the user? | Assessing a recent feature or support interaction |
| NPS | How likely is the user to recommend us? | Tracking broader product sentiment over time |
Benefits of Tracking CES in Software
- Reveals difficult onboarding steps and confusing forms.
- Highlights weak help content and broken self-service paths.
- Exposes integration failures and avoidable support transfers.
- Adds user context to analytics and qualitative feedback.
Practical Limits of Customer Effort Score
CES is useful evidence, not a diagnosis by itself.
- Small or biased samples can misrepresent a journey.
- Ambiguous wording makes results hard to interpret.
- A score alone does not identify the friction point.
- Internal baselines matter more than universal benchmarks.
How to Improve a Low Customer Effort Score
- Isolate the affected journey and user segment.
- Review event data, recordings, comments, and support tickets.
- Find where users first struggle or leave.
- Ship a focused change, such as clearer errors, fewer fields, saved progress, or better in-app help.
- Remeasure with the same survey wording and scale.
Using CES Feedback in Emergent Apps
With Emergent, teams can build a customer effort score survey, route responses into a customer feedback survey workflow, and monitor patterns through customer analytics. The AI survey and quiz builder helps teams create feedback experiences and improve app flows that create unnecessary effort.
Start Building
on Emergent today
on Emergent today
Start Building
