June 24, 2026

Calculating and Reducing Customer Effort Score: The New Hottest Metric in CX

By Sandra Radlovacki

For years, we’ve all followed the same guidelines when it comes to measuring customer experience. We assume if agents are answering a lot of calls every day, completing them fast enough, and not actively annoying anyone, we’re doing well.

The focus tends to be on “wow” moments that really show your team is going above and beyond to “delight” every customer. That’s great, but honestly, it usually means we’re overlooking one important thing: how much energy a customer needs to put into each business interaction. In other words, your customer effort score.

Forrester’s latest CX report tells us that despite all of the AI tools companies have to make customer service faster, more efficient, and personalised, customer satisfaction scores are still dropping. There’s a simple reason for that. Your customers don’t care about how fancy your chatbots are, or how human your AI IVR system sounds.

They care about how easy you make the experience feels. That’s why customer effort score is the metric everyone needs to circle back to right now. It’s blunt, direct, and focused on the one thing service teams really need to know right now.

What is Customer Effort Score?

Customer Effort Score (CES) is the often-overlooked metric in customer service that tells you one thing: how much work a customer had to do to finish a task. That task might be fixing a problem, updating an account, or completing a purchase.

Most companies measure this with surveys that include one or two questions at most:

• “How easy was it to resolve your issue today?”
• “The company made it easy for me to handle my issue.” (ranked on a scale)

Once you gather insights from those questions, calculating customer effort score is simple. You add up the scores and divide by the number of responses. That’s it.

So, if it’s so simple, why is it so important? Maybe even more important than tracking “customer delight”. Easy. Customers don’t expect you to blow them away every time they contact you. What they do expect consistently is simplicity.

Gartner says 96% of customers who experience high effort become more disloyal. Customers exhausted by your processes are also a lot louder. Think about how rare it is to see customers raving about how simple a support interaction was. Now consider how many complaints you see floating around the internet about “difficult” customer service.

How Customer Effort Score Stacks Against Other CX Metrics

Tracking customer effort score doesn’t necessarily mean giving up on all the other CX metrics that matter. It actually tends to do a lot more for your company when you treat it as part of a bigger pulse check.

CSAT tells you the mood. NPS predicts future advocacy. CES tells you whether the experience worked right now. Customers can love an agent (high CSAT) while hating the process (low CES). That tension is why modern CX programmes rely on a full metrics overview.

Why Customer Effort Score Matters in an AI-Driven CX World

Most business leaders assumed customer effort scores would naturally drop after they introduced more intelligent tools. When you’ve got AI tools that can handle everything from checking an order to walking a customer through a troubleshooting task, you’d think support would become easy.

In the real world, it’s not that simple. Sixty-four percent of customers say they’d prefer companies didn’t use AI in customer service at all. It might be great when it works, but every time your AI agent fails to solve a problem and ends up passing it off to a human anyway adds up for a customer. They start seeing bypassing AI as an extra step, and effort goes up.

The good news? There are real measurable benefits to reducing CES.

The loyalty economics of low effort

The economics are pretty clear once you look into them. Ninety-four percent of people who have an effortless interaction will buy again. Only 4% do after a high-effort one. Also, reducing effort cuts service costs by roughly 37%.

You don’t need a strategy workshop to interpret those numbers. If customers feel like they’re fighting your process, they leave. If they glide through it, they stay. CES shows you which path they took, and why. That’s how you make real improvements.

Improving self-service and automation

AI and self-service aren’t inherently good or bad in CX. They’re really neutral until a customer touches them. That’s where CES steps in. It tells you whether your amazing multimodal chatbot actually helped or just created another hoop to jump through.

Gartner’s latest research backs this up: service leaders are pouring energy into reimagining self-service, rolling out employee-facing GenAI, and investing in journey analytics. All of it points to one objective: remove friction. CES is the measure that shows whether those investments are working or backfiring.

Moving from deflection to revenue

The easiest way to see CES in action is to look at brands that trimmed back unnecessary effort and watched the numbers move.

ZEAL Network SE is a good example. They slipped contextual help and Answer Bot suggestions into their contact forms to deliver smart, relevant help at the right moment. The result was a 50% jump in self-service. Fewer tickets, faster answers, and far less chaos for both customers and agents. That’s the kind of operational shift a strong customer effort score will reflect long before an NPS score budges.

CES for friction discovery

Most companies drown in channel-centric data. Chat says everything’s fine. Phone says it’s not. Email says something else entirely. CES cuts across all of it. Ask the same question everywhere, and you finally see the truth.

Take the Latin American bank that rebuilt its service model on Sprinklr’s unified platform. Seven channels, one operational core. They auto-tagged and routed more than 100,000 cases, cut first-response times by roughly 50%, and hit an NPS north of 80. Imagine pairing that with CES, you’d instantly see which channels still make customers work too hard, even when speed improves.

The AI angle: making the cost case

There’s a lot of noise around AI “transforming customer service,” but the practical conversation is simpler: does it actually reduce effort? Kaizo’s research puts some numbers behind it: up to 30% cost reduction, and 68% of teams already see AI reshaping customer expectations.

That’s exactly why the customer effort score is so important right now. It’s the failsafe metric that tells you whether an AI rollout genuinely helped or simply pushed more work onto the customer.

Measuring Customer Effort Score: Step by Step

It seems like measuring customer effort score should be easy. Just ask your customers how tough an interaction was and react. Unfortunately, a lot of companies end up going about it the wrong way. So, let’s get specific about what you really need to do.

Be clear on what you want CES to tell you

Okay, so you want to know how much “effort” goes into something, that’s obvious, but dive a bit deeper. Do you want to know:

• How easy support feels overall?
• Whether a specific journey, like onboarding, checkout, cancellation, or claims, tripping people up?
• Which channels create the most friction?

A good customer effort score survey tells you exactly where the drag is. But keep the blind spot in mind: CES is a snapshot. It captures the moment right after the interaction, not the whole relationship. That’s why it works best alongside CSAT, NPS, and behavioural data.

Choose a survey format that works

You already know there are a few ways to collect customer feedback. When it comes to CES, you’re not going to need big focus groups. Keep it simple:

• A simple numeric scale: 1–5 or 1–7 from “very difficult” to “very easy.”
• A statement format: “The company made it easy for me to…”
• Emojis for mobile, which honestly generate faster, more instinctive responses.

Basically, your customer should be able to tell you in a couple of seconds how easy they felt everything was. Don’t introduce more effort at the finish line.

Put CES where it actually matters in the journey

Drop CES at the pressure points where you’re not sure whether customers are exerting more energy than they should be:

• Logging in
• Updating details
• Returning a product
• Waiting on an answer
• Filing a claim
• Completing checkout

Trigger the survey right after the task is finished (or abandoned). After a ticket closes, a self-service attempt, or a high-value action.

Add empathy signals

Now this part is tricky because you don’t want to “guide” customers into saying they felt a certain way. The key is to introduce a follow-up question that encourages them to naturally dive a bit deeper. For instance, “what made the experience easy or difficult” or “Did the next steps feel clear?”

If you want some really helpful direction, ask: “What would you like us to improve next time?” Or, offer your customer a chance to get in touch to discuss the issue further.

Analyse and act

This sounds really obvious, but you’d be surprised how many companies gather data that “looks good” and do nothing with it. Your CES metrics need to fuel something, so put the data to work:

• Segment CES by channel, product, reason, and customer type.
• Identify where high effort shows up consistently.
• Prioritise the hotspots tied to volume or revenue.
• Fix that journey first, not the one that’s “interesting.”

Another good tip? Connect CES to everything else you know about your customers. Link it with product analytics, ticket trends, chat logs, review data, anything that shows what customers had to push through. Some AI tools can help you connect the dots here.

This is where a piece about unifying scattered customer signals fits beautifully. It reinforces the point that friction rarely hides in one channel; it hides in the gaps between all of them.

Use conversational intelligence

Transcripts tell the story customers don’t share in surveys, with chapters for:

• Repeated explanations
• Escalations
• Long holds
• Negative tone
• Agents searching for answers mid-call

Medallia’s research shows how brands are mining this data automatically and pairing it with CES. When you line signals up, you see exactly what drives low scores.

Build a culture where “easy” is the default

No metric fixes a culture that treats customers like troubleshooting puzzles. Reducing effort requires teams that communicate clearly, take ownership, and actually listen.

Coaching agents on small things makes a big difference:

1. Acknowledging frustration
2. Explaining the next step before a customer has to ask
3. Not drowning them in jargon

Remember, teams that genuinely care about customers tend to deliver low-effort experiences almost by instinct.

Know the limitations

CES won’t tell you everything. It won’t reveal emotion. It won’t predict long-term loyalty on its own; it’s sensitive to wording, and honestly, people dealing with serious headaches tend to respond more than people who feel thrilled.

You do need context. Pair CES with CSAT, NPS, churn signals, and behavioural data, and it becomes one of the most honest metrics you have.

Quick Ways to Improve Customer Effort Score

There’s a misconception that fixing customer effort score requires a massive transformation programme, lots of new tech, and processes. That’s not really true. Usually, it’s just about finding the biggest friction points you’re overlooking and smoothing them out.

Quick ways to end the frustration:

Reduce Channel Hopping and Context Loss

Few things wear customers down faster than repeating the same details every time they switch channels. The fix isn’t complicated: everything needs to talk to everything else. When your contact center tools, IVR, CRM, CDP, and the rest of your stack share context instead of hoarding it, the whole experience finally feels connected.

Insperity used call analytics to face journey complexity head-on. They spotted that their IVR was creating confusion, not clarity. Once they simplified the menu and tightened the routing, they saw a jump in marketing-driven sales calls and fewer abandoned calls. That’s the power of cutting steps instead of adding more “logic.”

Strengthen help centers and self-service content

A help center that pushes customers in circles is basically a guaranteed low CES. Searching for information and answers should feel like a shortcut.

Skyscanner rebuilt their help center with this in mind. Clear topics, sharper search, relevant suggestions. That way, most travelers solved their issues without ever opening a ticket.

If you’re selling software, build help into the app experience. Callbell proved how powerful this can be. They used no-code flows to ship in-app guidance quickly, and it shaved days off the time customers spent trying to figure things out. It also meant fewer help messages piling up.

Fix the Moments Were Effort Ramps up Most

If onboarding feels heavy, customers assume the whole experience will be heavy. Same with claims. These journeys carry emotional weight, which means friction hits harder.

This health insurance study showing that 21% of customers left or almost left because of bad digital experiences, says everything. When these journeys don’t work, customers don’t stick around waiting for them to improve.

Another area to focus on? Payments and billing. Billing friction is one of the fastest routes to customer frustration. If a payment fails without explanation or a renewal catches someone off guard, effort skyrockets.

Deploy AI assistants where they truly reduce effort

AI shouldn’t be a wall customers crash into. It should be the ramp that gets them where they need to go.

Gamma shows what this looks like when done right. With an AI agent handling most inbound conversations and a tiny human team handling what’s left, customers get fast answers and only escalate when necessary. That’s the kind of experience that lifts CES without making a fuss.

Remember, AI can help with other parts of your strategy too, constantly monitoring effort scores in the background of conversations, analysing journey pain points, and even automatically responding to issues like failed log-in attempts.

Train your teams

Sounds obvious, but your team is always going to make the biggest difference to whether a customer journey is high or low effort. Sometimes it’s just the amount of empathy they use in a conversation, or the way that they listen, that makes the difference.

Train them on habits like summarising before moving on, using plain language, taking ownership without being asked, and giving a clear “here’s what happens next.”

Building a Low-Effort, Human-Centered CX Strategy

The customer effort score keeps shining a light on the same truth: people feel every snag in a journey. Every pause, every unnecessary click, every muddled step. They won’t always spell it out for you, but they will quietly walk away if it keeps happening.

That’s why CES hits so hard. It strips out all the excuses and gets straight to the truth: did we make this simple, or did we make people work? No sugarcoating. No fancy storytelling. Just a brutally honest signal that shows where the cracks actually are.

A clean path for moving forward looks something like this:

• Plant a small, focused customer effort score survey at one or two critical points in the journey.
• Run the customer effort score calculation and break it apart by channel, segment, and journey. That’s where the story hides.
• Fix the obvious friction first. The password reset flow. The clunky onboarding. The IVR that traps people. These aren’t “innovation projects.”
• Use AI where it reduces steps, not where it adds mystery. Automation should take work off customers’ plates, not bury them in new obstacles.

The future of CX isn’t “delighting” people with surprises; it’s respecting their time, stripping out nonsense, and giving them one clear path instead of five confusing ones. That’s what the customer effort score is really measuring: whether your experience honors the customer or drains them.