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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

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...