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Who Owns User and Customer Experience Management?

Dennis Drogseth

There is growing industry attention to user, customer, and digital experience management — often condensed by the acronym UEM for “user experience management.” This attention is more than justified, but most of the buzz leaves out critical questions like, “What is user experience management?”, “Who really runs (or who should run) the UEM show in the digital age?”, “What are its real benefits?”, and “What’s still missing from most UEM-related deployments?” In this blog I’m going to attempt to provide a few insights on each of these questions, leveraging my own industry dialogs as well as some EMA research.

The Importance of User Experience Management

In recent research about the future of IT service management, we found that the number one strategic priority was improved end-user experience internal to the business. Significantly, improved customer/supply-chain user experience also got high marks and was a top priority in some verticals.

In other EMA research from this year targeting digital and IT transformation, improved user experience management was the number one functional technology priority.

Perhaps even more impressive, when we looked at why IT organizations seeking to support transformative initiatives were slated for growth (and hence, were presumably valued), the two key technology initiatives cited were improved end-user experience internal to the business and improved customer/supply-chain user experience.

What Is User Experience Management, Actually?

Prior EMA research on User Experience Management addressed this very question in detail by looking at user and customer experience management as a single landscape in terms of the following five categories, ranked by priority:

1. Business impact – Optimizing the business outcomes of IT-delivered business services based on user interactions.

2. Performance – Monitoring and optimizing the effective delivery of business services to their end consumers in terms of performance and security concerns.

3. Service usage (neck and neck with performance) – Understanding the frequency and other usage patterns with which users (by type or group) leverage IT-delivered business services.

4. User productivity – Optimizing end-user interaction with business services — including the efficiency with which the service is utilized in support of business processes.

5. Design – Optimizing the effective design and content of business services for their end consumers in terms of navigation, relevance, etc.

So for those of you who think that UEM/customer experience management is simply a subset of Application Performance Management (APM), it’s long past time to think again. In fact, service desk and ITSM teams actually outscored (narrowly) application support teams as being in line for tracking UEM and customer experience issues.

So Who Really Owns User Experience Management?

As already indicated, it’s not just one group. User/customer experience management is, and should be, a shared investment across IT and between IT and business stakeholders. In many respects it is also shared between IT and the end-user community, which is becoming increasingly visible not just through incident-related communications but also through social media, mobile and other venues for improved customer dialog and outreach.

Here are a few highlights on the topic of user/customer experience management ownership:

■ Multiple EMA research projects have underscored the fact that UEM and customer experience management should be a 50/50 shared requirement between IT and business stakeholders.

■ A well-defined user/customer experience management team is an evolving requirement, and data consistently correlates such a team with improved results.

■ Executive IT tends to lead UEM and customer experience efforts because it touches different groups within IT and because UEM reflects directly on IT’s value to the business it serves. Within IT organizations, multiple stakeholders are involved in UEM — most notably groups within operations in collaboration with the service desk. That collaboration often includes improved workflows with increasing levels of automation, bidirectionally shared data, and sometimes shared analytics as well as feedback loops that often move through the service desk to operations and development with insights into service usage, value, and relevance.

■ Business stakeholders are increasingly playing a growing role, especially with the emergence of digital services and digital transformation priorities. These stakeholders generally fall into two categories:

- Line of business executives and service owners for internal users/consumers of IT services.

- Online operations and chief digital officers when external customers are the primary concern.

What Are the Benefits, and What’s Missing?

One of the reasons that user and customer experience management continue to rise in importance is that the benefits are manifold — reflecting backward on IT operational efficiencies on the one hand while radiating outward to support enhanced IT and business effectiveness as well as improved insights into service consumers’ priorities, wants, and needs. Data consistently shows that these insights can enhance a wide range of objectives, from customer loyalty and brand awareness to employee productivity and better business process optimization, just to name a few. On the other hand, if you want to reduce war room time, nothing beats meaningful UEM insights linked to business outcomes to set priorities and redefine some of the processes associated with incident management, problem management, availability management, and triage.

What’s missing? In most organizations user experience management is conducted on two fronts within IT that still remain isolated from each other — operations and the service desk. And in fact, in many cases operations is itself fragmented. Faced with this unfortunate situation, IT executives and business stakeholders often wrestle with SLAs that could have been written in the 90s in which IT effectiveness remains wedded primarily to cost rather than delivering value. Nothing, of course, could be further removed from the growing commitment to digital transformation.

Perhaps it’s not that surprising then that when it comes to roadblocks and complaints, the two chief categories consistently have a human face — better teaming between IT and the business and a richer understanding of real user needs and concerns. In both cases, this means dialog. Dialog on many levels. User experience management is, in the end, a persona-centric rather than a systems-centric set of disciplines — the beginning of a conversation that nearly a decade ago sent up a flare that first signaled the advent of the digital age.

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Who Owns User and Customer Experience Management?

Dennis Drogseth

There is growing industry attention to user, customer, and digital experience management — often condensed by the acronym UEM for “user experience management.” This attention is more than justified, but most of the buzz leaves out critical questions like, “What is user experience management?”, “Who really runs (or who should run) the UEM show in the digital age?”, “What are its real benefits?”, and “What’s still missing from most UEM-related deployments?” In this blog I’m going to attempt to provide a few insights on each of these questions, leveraging my own industry dialogs as well as some EMA research.

The Importance of User Experience Management

In recent research about the future of IT service management, we found that the number one strategic priority was improved end-user experience internal to the business. Significantly, improved customer/supply-chain user experience also got high marks and was a top priority in some verticals.

In other EMA research from this year targeting digital and IT transformation, improved user experience management was the number one functional technology priority.

Perhaps even more impressive, when we looked at why IT organizations seeking to support transformative initiatives were slated for growth (and hence, were presumably valued), the two key technology initiatives cited were improved end-user experience internal to the business and improved customer/supply-chain user experience.

What Is User Experience Management, Actually?

Prior EMA research on User Experience Management addressed this very question in detail by looking at user and customer experience management as a single landscape in terms of the following five categories, ranked by priority:

1. Business impact – Optimizing the business outcomes of IT-delivered business services based on user interactions.

2. Performance – Monitoring and optimizing the effective delivery of business services to their end consumers in terms of performance and security concerns.

3. Service usage (neck and neck with performance) – Understanding the frequency and other usage patterns with which users (by type or group) leverage IT-delivered business services.

4. User productivity – Optimizing end-user interaction with business services — including the efficiency with which the service is utilized in support of business processes.

5. Design – Optimizing the effective design and content of business services for their end consumers in terms of navigation, relevance, etc.

So for those of you who think that UEM/customer experience management is simply a subset of Application Performance Management (APM), it’s long past time to think again. In fact, service desk and ITSM teams actually outscored (narrowly) application support teams as being in line for tracking UEM and customer experience issues.

So Who Really Owns User Experience Management?

As already indicated, it’s not just one group. User/customer experience management is, and should be, a shared investment across IT and between IT and business stakeholders. In many respects it is also shared between IT and the end-user community, which is becoming increasingly visible not just through incident-related communications but also through social media, mobile and other venues for improved customer dialog and outreach.

Here are a few highlights on the topic of user/customer experience management ownership:

■ Multiple EMA research projects have underscored the fact that UEM and customer experience management should be a 50/50 shared requirement between IT and business stakeholders.

■ A well-defined user/customer experience management team is an evolving requirement, and data consistently correlates such a team with improved results.

■ Executive IT tends to lead UEM and customer experience efforts because it touches different groups within IT and because UEM reflects directly on IT’s value to the business it serves. Within IT organizations, multiple stakeholders are involved in UEM — most notably groups within operations in collaboration with the service desk. That collaboration often includes improved workflows with increasing levels of automation, bidirectionally shared data, and sometimes shared analytics as well as feedback loops that often move through the service desk to operations and development with insights into service usage, value, and relevance.

■ Business stakeholders are increasingly playing a growing role, especially with the emergence of digital services and digital transformation priorities. These stakeholders generally fall into two categories:

- Line of business executives and service owners for internal users/consumers of IT services.

- Online operations and chief digital officers when external customers are the primary concern.

What Are the Benefits, and What’s Missing?

One of the reasons that user and customer experience management continue to rise in importance is that the benefits are manifold — reflecting backward on IT operational efficiencies on the one hand while radiating outward to support enhanced IT and business effectiveness as well as improved insights into service consumers’ priorities, wants, and needs. Data consistently shows that these insights can enhance a wide range of objectives, from customer loyalty and brand awareness to employee productivity and better business process optimization, just to name a few. On the other hand, if you want to reduce war room time, nothing beats meaningful UEM insights linked to business outcomes to set priorities and redefine some of the processes associated with incident management, problem management, availability management, and triage.

What’s missing? In most organizations user experience management is conducted on two fronts within IT that still remain isolated from each other — operations and the service desk. And in fact, in many cases operations is itself fragmented. Faced with this unfortunate situation, IT executives and business stakeholders often wrestle with SLAs that could have been written in the 90s in which IT effectiveness remains wedded primarily to cost rather than delivering value. Nothing, of course, could be further removed from the growing commitment to digital transformation.

Perhaps it’s not that surprising then that when it comes to roadblocks and complaints, the two chief categories consistently have a human face — better teaming between IT and the business and a richer understanding of real user needs and concerns. In both cases, this means dialog. Dialog on many levels. User experience management is, in the end, a persona-centric rather than a systems-centric set of disciplines — the beginning of a conversation that nearly a decade ago sent up a flare that first signaled the advent of the digital age.

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Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...