The CX metric you know but aren't using enough

Key takeaways

• CES is widely known but consistently underused as a primary driver of CX program decisions
• Friction across the customer journey has direct, measurable consequences for retention and contact costs
• High effort is one of the strongest predictors of churn, making CES more predictive of short-term behavior than NPS alone
• CES, CSAT and NPS answer different questions and are significantly more powerful when used in combination
• Linking effort reduction to business outcomes gives CX leaders the commercial evidence to drive organizational change

Why CES doesn't get the attention it deserves

NPS and CSAT have structural advantages. They aggregate cleanly into a single headline number, they benchmark well, and they are familiar to executives who have been reading CX dashboards for years. CES is different. It operates at interaction level, which makes it harder to roll up and easier to deprioritise when it is time to build the quarterly report.

That is a measurement culture problem, not a metric problem. CES captures something that NPS and CSAT cannot: the friction a customer experienced on the way to their outcome. You can have a satisfied customer who worked hard to get there. You can have a customer who scores you a nine on NPS and still churns because every interaction costs them time and energy. CES is the signal that sits between those two data points.

Dixon, Freeman and Toman made this case in their widely cited Harvard Business Review paper 'Stop Trying to Delight Your Customers', showing that reducing effort matters more to loyalty than creating moments of exceptional service. The research is over a decade old. The measurement gap it identified has not closed.

Part of the reason is framing. Effort reduction is often treated as an operational efficiency goal rather than a CX priority. In reality it is both, which is precisely what makes it valuable.

What friction across the customer journey actually costs

Think of effort as a tax your customers pay every time your processes, communications, or systems let them down. When that tax is low, the relationship stays healthy. When it is high, customers pay it reluctantly, and the damage accumulates faster than most CX teams realize.

The operational costs are direct. Repeat contact is one of the clearest symptoms of high effort. When customers have to call back, chase progress, or re-explain their situation, cost per resolution rises and frontline capacity is absorbed by escalations rather than first-contact resolution. A CES program that identifies the friction driving that repeat contact gives operations teams a precise target, not just a volume problem to manage.

The retention impact is just as tangible. Research consistently shows that high-effort interactions increase churn risk far more than low-effort interactions reduce it. The asymmetry matters: fixing a bad experience does not restore the same amount of goodwill that the friction removed. Customers who work hard to get resolved rarely announce their frustration. They quietly switch, or they tell others.

The reputational consequences follow the same pattern. High-effort experiences produce the reviews, the social posts, and the word-of-mouth that travel further and faster than praise. A single contact that required three calls and two transfers generates a specific, shareable story. That story reaches people your NPS never will.

The four types of effort showing up in your customer journey

Not all friction looks the same. The Clark and Bryan framework identifies four types of effort that surface in customer interactions, each with distinct causes and fixes:

• Time-based effort: waiting, repeated contact, chasing for updates. Usually a symptom of process failure or poor first-contact resolution rates.
• Cognitive effort: navigating unclear communications, complex processes, confusing information. Often invisible to internal teams who understand the system.
• Emotional effort: feeling unheard, anxious, or dismissed. Frequently amplified in high-stakes interactions where customers are already stressed.
• Physical effort: having to take manual action because a digital journey has broken down or a process has not been designed with the customer in mind.

Any one type frustrates customers. When they stack, the compound effect is significant. A customer who waits long, receives a confusing letter, feels dismissed on the phone, and then has to write in separately has experienced all four. That customer's CES score will reflect it. Their NPS probably will too, at the next survey cycle.

The value of tracking effort by type is that it turns a score into a diagnosis. It tells you not just how much friction exists, but where it is concentrated and what category of fix is needed.

How CES, CSAT and NPS work together to drive change

Each of the three primary CX metrics answers a different question. Used in isolation, each one tells an incomplete story. Used together, they give CX leaders the evidence to identify problems, prioritize action, and quantify impact.

• NPS® captures long-term relationship sentiment and likelihood to recommend. It reflects the accumulated weight of multiple experiences over time. It is a lagging indicator.
• CSAT measures whether a specific interaction or outcome met expectations. It is transaction-level, immediate, and closely tied to the resolution itself.
• CES measures the friction a customer experienced during an interaction. It is the most predictive of the three for repeat contact and short-term churn, and the most actionable for operational change.

The diagnostic power comes from reading them together. A low CSAT score tells you a customer was unhappy. A high CES score tells you the process was the problem, not the outcome. An NPS declining over several quarters alongside rising effort scores tells you friction is accumulating across the relationship, not just appearing in isolated interactions.

That combination is what moves CX data from reporting to decision-making. Without CES, you have sentiment and satisfaction data but no operational signal for where the journey is breaking down. With it, you can identify which friction points are most frequent, which carry the highest churn risk, and which changes will have the most measurable impact.

CX programs that run all three metrics together can build the kind of evidence that drives investment decisions, not just dashboard improvements.

SmartSurvey's CX program is designed to run NPS, CSAT and CES together, connecting interaction-level effort data to business outcomes. Explore how CX teams use it to move from tracking scores to proving impact.

Frequently asked questions

Why is CES underused in CX programs?

CES operates at interaction level rather than relationship level, which makes it harder to aggregate into a single headline number for executive reporting. NPS and CSAT fit more naturally into existing dashboard structures and have more established benchmarking data. Many CX teams know CES is valuable but have not yet built it into their standard measurement cycle in a way that connects directly to program decisions.

How does customer effort affect business outcomes?

High effort increases contact volume and drives up cost per resolution. It is also one of the strongest predictors of short-term churn: customers who have to work hard to get something resolved are significantly more likely to leave than customers who found the experience easy. High-effort experiences also carry reputational risk, as customers are far more likely to share negative friction-based experiences than positive ones.

What is the difference between CES, NPS and CSAT?

NPS measures long-term relationship sentiment and likelihood to recommend. CSAT measures whether a specific outcome met expectations. CES measures the friction a customer experienced during an interaction. Each metric answers a different question, and they are most valuable when tracked together rather than used as alternatives.

What types of customer effort should CX teams track?

The Clark and Bryan framework identifies four types: time-based effort (waiting and repeat contact), cognitive effort (unclear processes and communications), emotional effort (feeling dismissed or unheard), and physical effort (manual action required because a system or journey has failed). Tracking effort by type allows teams to identify not just how much friction exists, but what category of change is needed to reduce it.

How do CX teams connect effort reduction to business impact?

The most effective approach is to link CES data to operational metrics such as repeat contact rate, cost per resolution, and churn rate. When a reduction in effort scores correlates with a measurable change in those metrics, it creates the commercial evidence needed to justify investment and drive organizational change. ROI calculators and impact dashboards help CX teams translate score improvements into financial terms that resonate at board level.

Make effort a first-class metric in your CX program

NPS and CSAT are not going anywhere, and they should not be. But a CX program that does not systematically track effort is missing the signal that explains why customers leave, why contact volumes stay high, and why loyalty is harder to build than the satisfaction scores suggest.

The organizations getting the most from their CX investment treat effort reduction as a commercial priority. They measure it consistently, connect it to operational outcomes, and use it alongside NPS and CSAT to build the case for change. The metric is already familiar. The gap is in how consistently it is used.

See how SmartSurvey brings NPS, CSAT and CES together in a single CX program. Visit the SmartSurvey customer experience program to explore the dashboards, ROI calculators, and prove-impact tools that connect feedback to business outcomes.