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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.

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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

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.