7 must-know tips to lower Customer Effort Score (CES) in your contact center

Customer Effort Score (CES) measures how much work a customer has to do to resolve an issue. High-effort experiences drive churn. Research from Gartner indicates that 96% of customers who report high effort in resolving a service issue become more disloyal, compared to just 9% of those who report low effort. For contact center leaders in telecom, financial services, healthcare, and insurance, reducing customer effort is not a satisfaction initiative; it is a retention and revenue strategy. These seven tactics address the root causes of high effort at the operational level. 

1. Resolve the issue completely on the first contact

Repeat contacts are the single largest driver of high Customer Effort Score. When a customer calls back to re-explain the same problem, their effort perception spikes. Industry benchmarks show that contact centers with strong First Contact Resolution (FCR) rates (typically above 70%) report significantly lower CES than those averaging in the 50–60% range. Build FCR directly into your quality management program by tracking it per agent, per queue, and per issue type. Identify the specific interaction patterns where resolution fails: incomplete troubleshooting steps, incorrect transfers, or agents escalating prematurely, and target those in coaching. Every repeat contact is a CES liability that your team can reduce with structured quality oversight. 

2. Eliminate unnecessary transfers

Nothing raises customer effort faster than being transferred from agent to agent, repeating account details and issue context each time. Each transfer adds friction and signals to the customer that the organization is not organized around their need. Audit your transfer rates by queue and identify the top three reasons customers are being moved. In many contact centers, 30–40% of transfers result from routing errors at the IVR or frontline triage stage, not from genuine escalation requirements. Correct the routing logic, expand frontline agent authorization on common issue types, and build warm transfer protocols that pass context, not just the call. 

3. Equip agents to handle more issue types without escalation

Escalations driven by agent skill gaps, not by genuine complexity, are a controllable source of high effort. When a customer reaches a frontline agent who lacks the authorization or knowledge to resolve a billing dispute, a policy exception, or a technical configuration issue, the interaction drags, and the customer often ends up transferred or calling back. Conduct a quarterly skills gap analysis against your top ten contact drivers. For each driver where escalation rates exceed your target threshold, build structured training content and expand agent decision authority. The goal is to push resolution authority as close to the first point of contact as operationally sound. 

4. Design self-service that actually works

Self-service channels (IVR, chatbots, online portals) are intended to reduce customer effort. Poorly designed self-service increases it. When customers cannot find what they need in your IVR or digital channel, they abandon to a live agent already frustrated, arriving with higher effort perception before the interaction begins. Identify the top five reasons customers abandon self-service and route to a live agent. For each, assess whether the issue can be resolved in self-service with a design or content change. Effective self-service deflects the right contacts (simple, high-frequency transactions) without forcing customers through menus that lead nowhere. Poor self-service deflects nothing and damages CES before the agent picks up the phone. 

5. Train agents to communicate proactively

Customer effort is not only a function of whether an issue is resolved; it is also a function of how much the customer has to ask, prompt, and follow up to understand what is happening. Agents who communicate proactively: explaining next steps without being asked, confirming understanding before closing, flagging potential issues the customer has not yet raised, measurably reduce effort perception even when the resolution timeline is the same. Build proactive communication behaviors into your quality scorecard as discrete, observable criteria. Score them consistently across evaluators. Agents who understand that proactive communication directly affects CES will prioritize it during the interaction. 

6. Reduce average handle time without cutting resolution short

Average Handle Time (AHT) and Customer Effort Score are related but distinct. A contact center that drives down AHT by rushing agents through interactions: cutting off customers, providing incomplete information, or closing tickets before resolution is confirmed, which will lower AHT and raise CES simultaneously. The goal is to reduce unnecessary time, not necessary time. Identify the specific activities that extend handle time without contributing to resolution: excessive hold, repetitive verification steps, agents navigating poorly designed knowledge bases, or customers waiting while agents search for policy information. Address each operationally. When AHT reductions come from process improvement rather than agent pressure, CES typically improves alongside them. 

7. Measure effort at the interaction level, not just the survey level

Post-contact CES surveys provide useful directional data, but they capture a fraction of interactions and suffer from response bias. Customers who are most frustrated often do not complete surveys. Contact centers that rely exclusively on survey-based CES measurement are working with incomplete visibility, the same limitation that affects traditional quality assurance programs that sample 2 to 5 percent of interactions. Build interaction-level effort indicators into your quality program: track transfers per contact, repeat contact rate by issue type, escalation rate by agent and queue, and average resolution steps per contact driver. These operational metrics identify effort patterns at scale before they show up in survey results. When a spike in repeat contacts emerges in a specific queue, intervene before it affects CES scores. 

Operational discipline reduces customer effort

Customer Effort Score does not improve through survey campaigns or customer satisfaction initiatives alone. It improves through operational changes: better routing, higher FCR, more capable agents, functional self-service, and quality programs that identify effort drivers at scale. Each of the seven tactics above requires consistent execution: building the right metrics into quality scorecards, coaching agents on the specific behaviors that drive low-effort interactions, and reviewing performance data regularly enough to catch regressions before they compound. 

Start with a structured audit of your current CES drivers. Map your repeat contact rate, transfer rate, and escalation rate against your top ten contact types. The data will identify where effort is highest and which operational change will have the most immediate impact. From there, build the improvement work into your existing quality management and coaching programs rather than treating it as a separate initiative. 

Connect with our team to run a focused review of your current contact center program and identify where resolution gaps and effort drivers are concentrated.