Skip to main content

Making Your Service Desk Less Vocal Actually Tells You Things Are as They Should Be

Dennis Drogseth

Optimizing the end-user experience has many dimensions to it, and one key element of them is ensuring that any issues from password reset, to application access, to support for multiple endpoints by a single user are all addressed without your users feeling that they’re queuing up at the Department of Motor Vehicles. This blog leverages EMA research to examine how a truly efficient service desk can make itself all the more effective by becoming more transparent, less verbally visible, and yet ultimately far more end-user empowering.

To begin with, I’d like to make clear that all of the data-specific insights in this blog come from two research projects: ITSM Futures (2015) and Optimizing IT for Financial Performance (Q3 2016). Together these research efforts paint a fairly clear picture of what’s changing in optimizing end-user values — and what’s staying the same.

What’s New (and What’s Not)

If enhanced automation for self-service is a number one functional priority, it’s worth taking a closer look at how this plays out more broadly. When we asked about priorities for self-service management in general (ITSM Futures), we found the following:

1. More effective automation for supporting end-user access to services

1. Knowledge management

3. More effective automation for resolving end-user issues

4. Service catalog

5. Mobile access

6. Enhanced role-based visualization

7. Social media

I’ll be examining the importance of service catalogs and mobile access later in this blog, but in this section I want to focus on the stunning combination right at the top.

Automation enabling access to ITSM and IT application services, along with automation for resolving end-user issues, both underscore the growing need for a time-sensitive approach to caring for end-user support. In other words, organizations need to eliminate the “I’ll get back to you’s!” with no end in sight, and speed up delivery and remediation.

Second in rank — right in the middle of the automation priorities — quite tellingly, is knowledge management. Speed is good, but without added visibility and wisdom, speed can lead to figurative (and sometimes even literal) train wrecks.

Service Catalogs, App Stores: Automated Access With Accountability

In both surveys, we saw a growing requirement for service catalogs, app stores, and the inclusion of both cloud and in-house services as ways of providing users with faster access that is also more flexible and satisfying. Service catalogs and app stores can also ideally create a full audit trail of usage, cost, and any SLA expectations for the ITSM team. In Optimizing IT we found a strong correlation between success and the inclusion of usage, cost, and pricing in service catalogs.

Looking at the success rates reported in both research areas, we also saw the value of integrating cloud services of various kinds (SaaS, IaaS, etc.) with in-house delivered services in service catalogs and app stores. And both surveys also underscored the value service catalogs can provide by giving internal users access to business services such as HR, facilities, legal, marketing, etc.—extending the “end-user experience” discussion to business as well as IT processes.

The Mobile Dilemma and the Mobile Opportunity

In “ITSM Futures,” nearly two-thirds of ITSM teams felt that they were significantly or completely impacted by mobile, upping the ante for end-user support. This is just one of many data points that underscores the rising importance of supporting mobile end users. Mobile is indeed not only creating a new set of lifecycle management requirements, it’s also raising consumer expectations about the speed and efficiencies needed for acceptable IT support. A consumer population, in fact, is far more digitally savvy and likely to seek alternate routes and alternate options when IT support isn’t as it should be.

But the “mobile dilemma” isn’t about “mobile-only.” It’s fundamentally about mobile as a part of an increasingly heterogeneous set of end-user devices. Managing a mixed endpoint population can present huge challenges, affecting everything from onboarding to ensuring high-quality service delivery. So not surprisingly, the vast majority of ITSM teams facing these challenges believe that a unified console for managing both mobile and non-mobile devices is critical. Moreover, when this is done effectively and mobile access can be shared between IT and its customers, the result, as both surveys show, is improved responsiveness to IT service consumers.

Wrapping Up

There are other trends in making the service desk less vocal and more efficient. Although it still scores as a low priority in much of my research, the need for social IT is definitely on the rise. Much of the low score there is due to still early and often crude vendor implementations — but these are picking up. On the other hand, the need for improved peer-to-peer dialog, which social IT can significantly accelerate, scores very high pretty much across the board — suggesting that social IT can and should play a greater role in optimizing end-user experience.

Finally, I’d like to stress that while I’m all for a less vocal, less bureaucratic Motor Vehicles-type environment — I’m not for a voiceless service desk. There will always be, as far as I can tell, a need for human dialog when a labyrinth of automation and electronic forms leads the unprepared end users to a virtual high-tech Minotaur. What that will mean with cognitive analytics and bots, only the future can tell us. But right now, I for one am still quite happy when all else fails and I hear a wise, welcoming, and well-informed human voice ready to help me navigate my way through new levels of unexpected automation.

Hot Topics

The Latest

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 ...

Making Your Service Desk Less Vocal Actually Tells You Things Are as They Should Be

Dennis Drogseth

Optimizing the end-user experience has many dimensions to it, and one key element of them is ensuring that any issues from password reset, to application access, to support for multiple endpoints by a single user are all addressed without your users feeling that they’re queuing up at the Department of Motor Vehicles. This blog leverages EMA research to examine how a truly efficient service desk can make itself all the more effective by becoming more transparent, less verbally visible, and yet ultimately far more end-user empowering.

To begin with, I’d like to make clear that all of the data-specific insights in this blog come from two research projects: ITSM Futures (2015) and Optimizing IT for Financial Performance (Q3 2016). Together these research efforts paint a fairly clear picture of what’s changing in optimizing end-user values — and what’s staying the same.

What’s New (and What’s Not)

If enhanced automation for self-service is a number one functional priority, it’s worth taking a closer look at how this plays out more broadly. When we asked about priorities for self-service management in general (ITSM Futures), we found the following:

1. More effective automation for supporting end-user access to services

1. Knowledge management

3. More effective automation for resolving end-user issues

4. Service catalog

5. Mobile access

6. Enhanced role-based visualization

7. Social media

I’ll be examining the importance of service catalogs and mobile access later in this blog, but in this section I want to focus on the stunning combination right at the top.

Automation enabling access to ITSM and IT application services, along with automation for resolving end-user issues, both underscore the growing need for a time-sensitive approach to caring for end-user support. In other words, organizations need to eliminate the “I’ll get back to you’s!” with no end in sight, and speed up delivery and remediation.

Second in rank — right in the middle of the automation priorities — quite tellingly, is knowledge management. Speed is good, but without added visibility and wisdom, speed can lead to figurative (and sometimes even literal) train wrecks.

Service Catalogs, App Stores: Automated Access With Accountability

In both surveys, we saw a growing requirement for service catalogs, app stores, and the inclusion of both cloud and in-house services as ways of providing users with faster access that is also more flexible and satisfying. Service catalogs and app stores can also ideally create a full audit trail of usage, cost, and any SLA expectations for the ITSM team. In Optimizing IT we found a strong correlation between success and the inclusion of usage, cost, and pricing in service catalogs.

Looking at the success rates reported in both research areas, we also saw the value of integrating cloud services of various kinds (SaaS, IaaS, etc.) with in-house delivered services in service catalogs and app stores. And both surveys also underscored the value service catalogs can provide by giving internal users access to business services such as HR, facilities, legal, marketing, etc.—extending the “end-user experience” discussion to business as well as IT processes.

The Mobile Dilemma and the Mobile Opportunity

In “ITSM Futures,” nearly two-thirds of ITSM teams felt that they were significantly or completely impacted by mobile, upping the ante for end-user support. This is just one of many data points that underscores the rising importance of supporting mobile end users. Mobile is indeed not only creating a new set of lifecycle management requirements, it’s also raising consumer expectations about the speed and efficiencies needed for acceptable IT support. A consumer population, in fact, is far more digitally savvy and likely to seek alternate routes and alternate options when IT support isn’t as it should be.

But the “mobile dilemma” isn’t about “mobile-only.” It’s fundamentally about mobile as a part of an increasingly heterogeneous set of end-user devices. Managing a mixed endpoint population can present huge challenges, affecting everything from onboarding to ensuring high-quality service delivery. So not surprisingly, the vast majority of ITSM teams facing these challenges believe that a unified console for managing both mobile and non-mobile devices is critical. Moreover, when this is done effectively and mobile access can be shared between IT and its customers, the result, as both surveys show, is improved responsiveness to IT service consumers.

Wrapping Up

There are other trends in making the service desk less vocal and more efficient. Although it still scores as a low priority in much of my research, the need for social IT is definitely on the rise. Much of the low score there is due to still early and often crude vendor implementations — but these are picking up. On the other hand, the need for improved peer-to-peer dialog, which social IT can significantly accelerate, scores very high pretty much across the board — suggesting that social IT can and should play a greater role in optimizing end-user experience.

Finally, I’d like to stress that while I’m all for a less vocal, less bureaucratic Motor Vehicles-type environment — I’m not for a voiceless service desk. There will always be, as far as I can tell, a need for human dialog when a labyrinth of automation and electronic forms leads the unprepared end users to a virtual high-tech Minotaur. What that will mean with cognitive analytics and bots, only the future can tell us. But right now, I for one am still quite happy when all else fails and I hear a wise, welcoming, and well-informed human voice ready to help me navigate my way through new levels of unexpected automation.

Hot Topics

The Latest

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 ...