Reducing Customer Effort Score across channels in 2026 means cutting the work customers do to finish a task, not just making one touchpoint look smoother. The strongest low-effort customer experience models remove repeat questions, preserve context across channel switches, simplify next steps, and fix the upstream causes of repeat demand.¹˒²˒³˒⁴
What does it mean to reduce customer effort score?
Customer Effort Score measures how easy or difficult it was for a customer to get something done. The original effort logic became influential because it shifted attention away from delight and toward reducing avoidable work in service interactions.⁵ Later academic work comparing CES, satisfaction, and NPS showed that each metric predicts different outcomes and should be used for different management purposes, rather than treated as interchangeable.⁶
For service leaders, this means CES is most useful when the customer goal is clear and the organisation wants to know where friction is coming from. Password resets, complaints, appointment changes, onboarding, claims status checks, and account updates are all good examples because the customer is trying to complete a task, not enjoy an experience.¹˒⁶
Why does customer effort stay high across channels?
Effort usually stays high because customers move between channels faster than context does. They start in self-service, shift to chat, then call, and the next touchpoint still cannot see who they are, what they already tried, or what outcome they need. Research on omnichannel customer experience consistently shows that continuity and integration across touchpoints shape the perceived experience directly.³˒⁷˒⁸
Australian digital-service guidance reaches the same conclusion from a service-design angle. The Digital Service Standard describes good services as user-friendly, inclusive, adaptable, and measurable, while the Digital Performance Standard tells teams to monitor services with a holistic approach and treat customer satisfaction as an industry-standard measure of digital service quality.¹˒² If customers keep doing the same work twice, the service is not yet low effort, even if each channel performs well in isolation.¹˒²
How should a low effort customer experience be designed?
A low effort customer experience should be designed around task completion, not channel preference. Start with the customer job, then map where effort rises. In most service environments, that happens in five places: identification, explanation, handoff, waiting, and follow-up. When those five moments are handled cleanly, CES usually improves because the customer no longer has to recover from the organisation’s internal fragmentation.³˒⁷
The practical design rule is simple. Customers should identify themselves once, explain the issue once, receive one consistent answer, and always know the next step. That is close to the APS experience design principle that services should work together so people do not have to repeat their story.⁹
What should be fixed first to reduce customer effort score?
Remove repeated effort before polishing the interface
The fastest gains usually come from removing repeated authentication, repeated issue explanation, repeated document submission, and repeated channel switching. These are not cosmetic irritants. They are structural effort drivers. Recent work on effort intensity also shows that effort generally reduces satisfaction, even if there are a few situations where some effort can increase confidence or involvement.¹⁰
That distinction matters. Some effort is necessary. Identity checks, consent steps, and safety controls may need to stay. The design task is to remove unnecessary effort while preserving the effort that protects trust or accuracy.¹⁰˒¹¹
Make context survive channel switching
Cross-channel switching is one of the biggest hidden causes of poor CES. Research on cross-channel integration shows that integration quality affects customer experience and downstream behaviour, while studies of channel switching show that customer experience often deteriorates when people move between touchpoints without continuity.⁷˒¹²
In practice, this means interaction history, current case status, and next-best action need to travel with the customer. Customer Science Insights fits naturally here because it is designed to unify real-time service data across voice, digital, bots, CRM, and Genesys Cloud, which helps teams see where channel switches are creating repeat effort.
Reduce uncertainty, not just handle time
Effort rises when customers do not know what will happen next. Long waits create effort, but unclear waits are often worse. A customer can tolerate delay better when the next step, expected timing, and responsibility are obvious. DTA guidance on measuring service success recommends tracking task success, abandonment, and other indicators that show whether people can finish what they started.²
That is why proactive status updates, simple confirmation messages, and clear resolution ownership often reduce CES faster than shaving a few seconds off average handle time. The customer feels less workload because they no longer need to chase the organisation for certainty.²˒³
How do knowledge and routing affect effort?
Knowledge and routing are two of the biggest leverage points.
Poor routing creates effort because customers land in the wrong place, get transferred, or receive partial help. Good routing should consider intent, recent contact history, and unresolved service state, not just skill group or channel. Omnichannel research shows that integrated touchpoints and coordinated fulfilment improve the overall experience precisely because they reduce these avoidable resets.³˒⁷˒⁸
Poor knowledge creates effort because the customer hears one answer online, another in chat, and a third on the phone. That inconsistency forces customers to verify, challenge, or repeat themselves. The operational fix is not only more content. It is governed content. A single answer layer reduces the customer’s cognitive work because the organisation stops contradicting itself.
What should leaders measure besides CES?
CES should never stand alone. Academic work comparing customer feedback metrics shows that CES, CSAT, and NPS each explain different things.⁶ So if the goal is to reduce effort across channels, pair CES with task completion, repeat contact, transfer rate, and time to resolution.¹˒²
That combination matters because CES can tell you that something felt hard, but not always why. Repeat contact shows unresolved demand. Transfer rate shows routing friction. Task completion shows whether the customer actually finished the job. Time to resolution shows whether the organisation removed delay or only relocated it.¹˒²˒⁶
This is also where CX Consulting and Professional Services belongs. Low-effort CX programs often fail not because they lack surveys, but because they lack a measurement design that links effort, journey outcomes, and operating decisions.
What risks should be controlled in a low-effort program?
The first risk is oversimplification. Teams remove steps that felt inconvenient but actually protected privacy, consent, or service quality. The OAIC says privacy by design means embedding privacy into the design specifications and architecture of systems and processes from the start, because it is more effective to manage privacy risks proactively than retrospectively.¹¹
The second risk is unmanaged AI. If AI is used for triage, summaries, routing, or next-step guidance, NIST says organisations should identify and manage the unique risks posed by generative AI in ways that align with their goals and priorities.¹² Faster service is not low effort if customers lose confidence in how their issue was handled.
The third risk is local optimisation. A digital team may reduce effort in one channel while increasing work in another. That is why CES should be reviewed at journey level, not only by touchpoint.³˒⁷
What should leaders do next?
Start with one high-friction journey and review it across channels end to end. Find where customers authenticate twice, explain twice, wait without clarity, or switch channels without context. Then redesign only those moments first. That usually creates faster movement than a broad “effort reduction” program.
Keep one rule in place. Every change should reduce one of four things: customer repetition, uncertainty, handoff failure, or avoidable follow-up. If it does not, it is probably changing the experience without lowering effort.
Evidentiary layer
The evidence base is fairly clear. DTA guidance supports connected, measurable, user-centred services and holistic monitoring.¹˒² Academic work shows that omnichannel integration shapes customer experience directly, while CES, CSAT, and NPS each predict different outcomes and should be used for distinct decisions.³˒⁶˒⁷ Research on effort intensity confirms that effort usually depresses satisfaction, even if some effort can occasionally add reassurance or perceived control.¹⁰ Privacy and AI guidance then add the 2026 condition: effort reduction has to be governed, not just optimised.¹¹˒¹²
FAQ
Is CES the best metric for every channel?
No. CES is best when the customer is trying to complete a task and ease matters most. It is especially useful for service, support, and resolution journeys.⁶
What is the fastest way to reduce customer effort score?
Usually it is removing repeated work: repeated authentication, repeated issue explanation, and repeated channel switching without context.³˒⁷
Should CES be measured after every interaction?
Not always. It is most useful at points where the customer has tried to complete something meaningful, such as resolving an issue, changing an account, or completing a request.¹˒²˒⁶
Why does effort rise when channels increase?
Because more channels can create more resets if identity, context, and ownership do not move with the customer. Omnichannel access without omnichannel continuity often increases effort rather than reducing it.³˒⁷˒¹²
How does knowledge management help lower effort?
It reduces the customer’s need to verify, repeat, or challenge inconsistent answers. Knowledge Quest is relevant when the main effort driver is fragmented content, slow updates, or weak knowledge governance across channels and teams.
What should executives watch alongside CES?
Watch task completion, repeat contact, transfer rate, and time to resolution alongside CES. That gives leaders a clearer view of both customer workload and operational causes.¹˒²
Sources
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Australian Government Digital Transformation Agency. Digital Performance Standard, Criterion 4: Measure if your digital service is meeting customer needs. 2024.
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Australian Government Digital Transformation Agency. Digital Service Standard and Digital Performance Standard guidance on service success and task completion. 2024.
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Gerea C, Gonzalez-Lopez F, Herskovic V. Omnichannel Customer Experience and Management: An Integrative Review and Research Agenda. Sustainability. 2021;13(5):2824. DOI: 10.3390/su13052824
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Rahman SM, Carlson J, Gudergan SP, et al. How do omnichannel customer experiences affect customer engagement intentions? Journal of Business Research. 2025;181:115196. DOI: 10.1016/j.jbusres.2025.115196
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Dixon M, Freeman K, Toman N. Stop Trying to Delight Your Customers. Harvard Business Review. 2010.
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de Haan E, Verhoef PC, Wiesel T. The predictive ability of different customer feedback metrics for retention. International Journal of Research in Marketing. 2015;32(2):195-206.
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Chung K, Rust RT, Wedel M. Cross-Channel Integration and Customer Experience in Retailing. Service Science. 2022. DOI: 10.1287/serv.2022.0308
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Balbín Buckley JA, De Keyser A, Verleye K, Lemon KN. Effects of channel integration on the omnichannel customer experience. Cogent Business & Management. 2024. DOI: 10.1080/23311975.2024.2364841
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Australian Government Architecture. APS Experience Design Principles. 2025.
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Ardelet C, Fleischer J, Klesse AK. Does making less effort entail satisfaction? A large empirical study on client relationship services. Journal of Service Research. 2023.
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Office of the Australian Information Commissioner. Privacy by design. Current guidance.
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NIST. Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile, NIST AI 600-1. July 2024.