# How XLAs are reshaping help desk performance | Capterra > Discover how experience‑level agreements (XLAs) reshape help desk performance by capturing user sentiment and improving service quality to fill SLA blind spots. Source: https://www.capterra.com/resources/xlas --- # XLAs: How Experience‑Level Agreements Improve Help Desk Performance Written by: Marcela Gava Marcela GavaAuthor Senior Content Analyst Experience I’ve been writing for Capterra since February 2021, helping companies identify emerging tech trends that can impact their b... [See bio & all articles](https://www.capterra.com/resources/author/marcela-gava/) Published April 14, 2026 6 min read Table of Contents - [What is XLA?](#what-is-xla) - [XLA vs. SLA: What’s the main difference?](#xla-vs-sla-whats-the-main-difference) - [How to adopt and implement XLAs?](#how-to-adopt-and-implement-xlas) - [The role of technology in creating a XLA strategy](#the-role-of-technology-in-creating-a-xla-strategy) **What happens when a support ticket closes on time, but the user still leaves frustrated? How can XLA metrics capture that sentiment? And why should support teams look beyond traditional SLAs and incorporate XLAs into their quality framework?** Expectations continue to rise for support experiences, and service‑level agreements (SLAs) alone don’t capture the factors that influence end‑user satisfaction. As a result, experience‑level agreements (XLAs) are being adopted as a complement to existing help desk measurements. While SLAs show how quickly teams handle requests, XLAs add a user‑centric view by focusing on how people felt throughout the interaction. **How technology can support:** A [help desk software](https://www.capterra.com/help-desk-software/) can track operational metrics related to SLA, such as average resolution time, alongside experience metrics, which are essential for XLA measurement. This combination helps create a complete view of service desk performance. ## What is XLA? An experience‑level agreement (XLA) is a customer service quality measurement that looks beyond traditional performance metrics and focuses on how users actually feel during support interactions.  Instead of measuring only the speed or volume of tickets completed, XLAs help companies understand the quality of the experience—how users perceive the support they receive, how confident they feel after an interaction, and whether the process met their expectations. This matters because users don’t judge support solely on how fast a ticket is closed. Often, what stands out is whether the agent explained things clearly, showed competence, or followed through until the issue felt truly resolved. ### What are the KPIs used to measure XLAs? The key performance indicators (KPIs) used in XLAs focus on emotional impact, perceived effort, and the overall quality of the support journey. These metrics quantify how users felt about the interaction and the effect it had: - **NPS (Net Promoter Score):** Measures willingness to recommend the support experience. - **CSAT (Customer Satisfaction Score):** Captures immediate satisfaction with the interaction. - **CES (Customer Effort Score):** Reflects how easy or difficult it was for the user to resolve their issue. - **CEV (Customer Experience Value):** Evaluates the perceived value of the interaction beyond resolution time. **Operational context:** For a complete assessment of help desk quality, teams should also monitor speed, volume, and responsiveness, typically covered by SLAs. #### Here’s how XLA plays out in practice  Imagine a company whose help desk consistently hits SLA targets—fast responses and on‑time closures—yet users still report frustration. SLAs alone fail to reveal issues like unclear instructions, limited follow‑up, or the sense that the agent didn’t fully understand the problem. Because conventional metrics overlook these experience gaps, they stay hidden. Adding XLA measurement exposes them. By tracking sentiment, perceived resolution quality, and user confidence, support teams can finally see what SLAs miss and address aspects users value most. ## XLA vs. SLA: What’s the main difference?  If you're comparing SLAs with XLAs, here’s how the two differ: - **SLAs measure performance:** They track operational targets such as response times, system availability, and ticket closure rates. These measures confirm whether the service met expectations—but not how users felt about it. This can lead to the “watermelon effect,” where dashboards appear positive on the outside but hide negative user experiences beneath. - **XLAs measure experience:** They shift the focus from process to people by blending sentiment, context, and qualitative signals. Instead of asking, _Was the task completed?_ XLAs ask, _Did the user feel supported?_ This uncovers moments that influence trust, clarity, and confidence — details traditional SLAs don’t surface. **Why you should consider using both:** SLAs maintain operational reliability. XLAs highlight how that reliability is experienced in real‑world interactions. Together, they give teams visibility into both expectations and outcomes. The table below shows how SLA and XLA differ in what they measure: **SLA (service-level agreements)** **XLA (experience-level agreements)** **What they focus on** Operational targets User experience outcomes **What they measure** Technical performance (e.g., uptime, response speed) Sentiment, confidence, ease, perceived resolution **How success is defined** “The task was completed” “The experience felt effective and supportive” **Type of data** Quantitative KPIs Mixed quantitative + qualitative signals **Blind spots addressed** Helps teams understand **how the service performs** from a technical and process standpoint Helps teams understand **how the service feels** from the user's standpoint ## How to adopt and implement XLAs? XLAs work best when built on an existing SLA framework so teams can understand both performance and experience metrics. ### Start with your baseline Define the touch points that matter most: ticket routing, first‑contact interactions, escalations, and handoffs. Capture sentiment at each point to see where friction appears. If your [help desk already integrates with other systems](https://www.capterra.com/resources/helpdesk-integration/), this is a natural place to start monitoring experience across channels. ### Shift from reactive to proactive signals XLAs rely on steady, lightweight feedback. Add simple questions after chat sessions, ticket closures, or self‑service steps to capture how users perceived the interaction. These signals help uncover confusion or clarity gaps, offering context SLAs cannot. ### Use automation to support XLA capture [Chatbots](https://www.capterra.com/resources/help-desk-chatbots-explained-what-they-are-how-to-implement-and-how-they/) and virtual agents can gather sentiment in real time, flag moments when users feel stuck, and guide next steps based on intent rather than ticket logic. ### Align XLAs to business outcomes Choose experience indicators that connect directly to IT goals such as faster issue resolution, reduced downtime, stronger self‑service adoption, or fewer repeat contacts. This ensures you capture the moments that influence trust, efficiency, and user confidence. ### Start small, then scale Launch a pilot in one support channel. Learn from early patterns, adjust as needed, and expand once you identify which experience signals are most reliable. ## The role of technology in creating a XLA strategy Technology tools, such as the different [types of help desk software](https://www.capterra.com/resources/types-of-help-desk-software/) available. These platforms centralize interactions, automate repetitive tasks, and reveal where users encounter friction. - **Create a clear picture of the user journey:** Track where requests begin, which channels users prefer, and how issues move through the support process to identify patterns that should influence your XLA framework. - **Use system data to understand experience quality:** When help desk insights are paired with micro‑survey feedback, teams can link operational metrics to user sentiment. - **Support consistent experience across channels:** A unified view ensures XLAs measure the experience consistently, regardless of the entry point. - **Use automation to extend consistency:** Automation removes repetitive steps that can cause delays or confusion, establishing predictable interactions. - **Turn insights into improvements:** Combining user behavior, feedback, and performance metrics makes it easier to identify moments that influence trust and satisfaction. ### Conclusion XLAs complement SLAs by adding the user experience to help desk evaluation. To begin, introduce micro‑surveys after interactions, connect sentiment to ticket data, and address the moments that reduce user confidence. As you scale, use help desk software to unify channels, automate repetitive work, and track experience signals. The result is a support process that aligns both performance and user expectations. Visit Capterra to explore [help desk tools](https://www.capterra.com/help-desk-software/) that fit your business needs. * * * Looking for Help Desk software?Check out Capterra's list of the [best Help Desk software](https://www.capterra.com/help-desk-software/) solutions. ### Was this article helpful? * * * ## About the Author [### Marcela Gava](https://www.capterra.com/resources/author/marcela-gava/) Marcela Gava is a senior content analyst at Capterra, covering the latest trends in technology, with a focus on cybersecurity, finance, marketing, and digital culture. Her research has been featured in Brazilian media outlets such as Folha de S. 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