Metrics guide

Customer Effort Score (CES) explained

Q: What is the Customer Effort Score (CES)?

Customer Effort Score (CES) measures how much effort a customer had to expend to get their issue resolved. It is collected via a post-interaction survey with a question such as 'The company made it easy for me to handle my issue' on a 1–7 scale (1 = strongly disagree, 7 = strongly agree), or 'How much effort did you have to put in?' on a similar scale. The score is typically reported as the percentage of customers who give a high-effort rating (1–3 on a 7-point scale) or as an average. CES was developed by the Corporate Executive Board (now Gartner) and shown in their 2010 research to be a stronger predictor of churn and repeat contacts than CSAT.

Q: What is a good Customer Effort Score for a contact centre?

On the 1–7 CES scale (1 = very high effort, 7 = very low effort), scores above 5.5 are generally considered strong for contact centre interactions. Scores below 4.0 consistently indicate systemic effort problems. The most meaningful benchmark is the percentage of customers rating the interaction as high effort (1–3 on a 7-point scale): best-in-class contact centres typically achieve below 15% high-effort ratings; scores above 35% indicate a systemic problem with channel design, routing, resolution rates, or agent knowledge. CES varies significantly by contact type — routine transactional contacts (balance enquiry, order status) typically score higher (lower effort) than complaint and technical contacts.

Q: Why does CES predict repeat contacts better than CSAT?

CES predicts repeat contacts because effort is the primary driver of callback behaviour. A customer who resolved their issue but found it very difficult to do so is highly likely to contact again for the same or a related issue — they did not get a genuinely complete resolution. CSAT captures whether the customer was satisfied with the interaction, which can be high even when the issue was not fully resolved (a polite and empathetic agent can produce high CSAT for an incomplete resolution). CES captures the completeness and ease of resolution more directly. The original CEB research found that high-effort experiences are the strongest single predictor of churn and disloyalty — more predictive than high satisfaction.

Q: How does reducing customer effort affect contact centre staffing?

Reducing effort reduces repeat contact volume. If 30% of contacts are callbacks for unresolved issues (i.e. FCR is 70%), improving FCR to 80% eliminates 10% of total volume. Under Erlang C, a 10% volume reduction does not produce a 10% headcount reduction (non-linear), but typically reduces the agent requirement by 7–9%. Effort reduction also works at the channel level: lowering IVR effort (fewer menu levels, clearer language) increases containment, deflecting contacts entirely. Each percentage point of deflection reduces agent volume proportionally — with Erlang non-linearity producing a smaller headcount saving for the first few percentage points at low occupancy, and a larger saving at high occupancy.

CES measures how much work a customer had to do to get their issue resolved. It is a stronger predictor of repeat contacts and churn than CSAT — and therefore a more directly operational metric for contact centre management. Reducing effort reduces callbacks, which reduces volume, which reduces headcount.

The CES question and scale

Standard CES question (CEB/Gartner formulation)

“The company made it easy for me to handle my issue.”

Strongly disagree

Neutral

Strongly agree

How to report CES

Option 1: Average score (1–7). Higher = lower effort. Target: 5.5+

Option 2: % high effort (scores 1–3). Lower is better. Target: below 15%

Consistent scale definition

Some operations use “How much effort did you have to put in?” on a 1–5 low-to-high scale (reverse direction). Define clearly and hold constant. Mixing directional conventions breaks trend analysis.

CES vs. CSAT vs. NPS — when to use each

MetricStrongest predictor of...WeaknessBest contact centre use

CESRepeat contacts, channel disloyalty, churnDoes not tell you if the customer liked the interaction — only that it was easy or hardFCR improvement, IVR redesign, process optimisation, channel design

CSATAgent quality, interaction-level satisfactionCan be high even when the issue was not fully resolved (empathetic agent masks incomplete fix)QA monitoring, agent coaching, team-level quality comparison

NPSLong-term brand advocacy and referral behaviourPoor sensitivity to individual interactions; driven by factors outside the contact centre (price, product quality)Company-level reporting; stakeholder communications; brand health tracking

What drives high effort in contact centres

Channel switching

The single biggest effort driver: starting on web, being redirected to chat, then transferred to voice, then asked to call back. Each transfer resets the customer's context — they must re-explain the issue. Operations with high channel-switching rates consistently produce CES scores in the 2–3 range.

Repeat contacts for the same issue

Customers who contact twice about the same problem report significantly higher effort than first-contact resolvers — even if the second interaction itself was smooth. FCR failure is a direct CES failure. The first call experience creates a negative effort expectation that colours the second.

IVR friction

Complex IVR menus, irrelevant options, and misrouting add effort before the agent even connects. A customer who navigates 4 IVR levels and still speaks to the wrong team has a very high effort experience even if the eventual resolution is good. Max 4–5 IVR options per level; most-common options first.

Repetition of information

Being asked to repeat account details, order numbers, or the reason for calling to multiple agents is one of the most consistently cited high-effort experiences. Screen-pops from CRM, agent handover notes, and call recording briefing before transfer directly reduce this.

Wait time (perceived vs. actual)

Customers tolerate wait time better when they know it will end: position-in-queue announcements, estimated wait times, and callback offers all reduce perceived effort even with identical actual wait times. The effort is in the uncertainty, not the time itself.

Process complexity

Having to send a document, visit a branch, wait for a letter, or perform multiple steps outside the contact itself all add effort. Process redesign that completes resolution within the contact reduces CES — regardless of how the agent performed.

How CES improvement affects contact volume and staffing

Worked example: 10,000 contacts/month, CES improvement scenario

68%

Current FCR

32% of contacts are repeat callers

3,200/month

Repeat contacts

0.32 × 10,000

−1,200/month

After FCR to 80%

1,200 fewer contacts to handle

A 12-point FCR improvement (68%→80%) eliminates ~1,200 repeat contacts per month. At 5-minute AHT, that is 6,000 agent-minutes = 100 agent-hours per month saved. At 85% occupancy and 160 productive hours per agent per month, that is approximately 0.7 FTE equivalent — or enables the same team to absorb additional new volume without additional headcount.

CES questions

What is the Customer Effort Score (CES)?

CES measures how much effort a customer had to expend to resolve their issue. Typically measured on a 1–7 scale where 7 = strongly agree that the company made it easy. Developed by CEB (now Gartner) and shown to be the strongest predictor of repeat contacts and churn in contact centre interactions.

What is a good Customer Effort Score for a contact centre?

On a 1–7 scale: 5.5+ is strong. As a % high-effort (scores 1–3): below 15% is best-in-class; above 35% indicates systemic problems. Benchmark by contact type — transactional contacts typically score higher (easier) than complaint or technical contacts.

Why does CES predict repeat contacts better than CSAT?

Because effort is the primary driver of callback behaviour. A customer who resolved their issue with difficulty is likely to contact again — they may not have received a genuinely complete resolution. CSAT can be high even for incomplete resolutions (an empathetic agent produces good CSAT while leaving the issue unresolved). CES captures resolution completeness and ease more directly.

How does reducing customer effort affect contact centre staffing?

Reducing effort reduces repeat contact volume. A 10-point FCR improvement eliminates approximately 10% of total contacts. Under Erlang C, this reduces agent headcount requirement by roughly 7–9% (non-linear). IVR effort reduction increases containment, deflecting contacts entirely — each additional containment percentage point reduces agent volume proportionally.