Skip to main content

User Experience Demands Transformation in Today’s Enterprise IT Network Management

Linda Ellis

Historically, many workers stayed clear of their company’s IT department. They didn’t understand -- or even need to understand -- how servers, firewalls and data centers supported their daily tasks. The responsibility of selecting, implementing and continuously managing complex network software was delegated to specialized IT administrators, with fellow employees left blissfully unaware of the IT infrastructure that made their work possible.

But times have changed. As technology has become increasingly crucial for the success and scalability of any business, IT departments have become more central and collaborative. The rise of consumer technology in the workplace has also affected enterprise IT. Cloud-based tools like Dropbox, Google Drive or Evernote have surged in popularity thanks to their stellar user experiences, and both IT departments and workers have benefited from their affordable price and accessibility.

Despite their availability and ease of use, however, consumer applications can quickly become a nightmare for companies and their IT departments. There’s often no control over what applications are being used, what content is being distributed or who’s accessing it, which can lead to serious security consequences like data leakage or compliance violations. In fact, a recent report by Netskope
found that a staggering 92% of cloud applications are not rated enterprise ready, meaning they lack the security, audit and certification, service-level agreement, legal and vulnerability capabilities required for safe workplace use.

In order to keep up with the ever-changing needs of enterprise IT networking and security, IT departments need to leverage software solutions that offer intuitive and seamless user experiences to both workers and IT administrators. By participating in identifying and implementing tools that fill employees needs while providing quality experiences, IT departments can support employee productivity rather than hinder it. At the same time, they’ll be able to more easily and securely govern the plethora of consumer applications inundating the enterprise.

Below are examples of software characteristics and user experience best practices that can provide workers with efficient workflows yet also meet the functionality requirements of IT administrators:

■ Web-accessible features can simplify authentication, access, and use, as well as provide the modern styles and interaction elements that workers have come to expect from their tools.

■ Software that has been optimized to simplify the user experience of the most common workflows allows frequently performed tasks to be conducted in a clear and streamlined fashion.

■ Menus that are easy to navigate, responsive, and tailored to user access rights provide customized experiences for each user, and are especially important for comprehensive software solutions that work well for both workers and IT administrators.

■ Data-intensive software should use presentation methods that match the data’s purpose. For example, use lists and tables when the purpose is to compare across multiple items so the data is easy to visually scan, but when the task requires manipulating items, use objects like icons or tiles to present the data to support more direct interaction.

■ Software should present data that is accurate and relevant to the task. For example, if the purpose is to provide actionable insight to a dynamic system, the data should refresh on its own, be specific to the purpose, and be presented so that a glance is all that is required to notice an important change.

■ The software should leverage the strengths of both technology and the end-user. While computers with powerful processors and large databases can churn through massive amounts of data, well-designed software can also rely on the human element to be part of its success. For example, presenting content as graphically arranged objects like a map can tap into the human brain’s ability to pick out and recognize visual patterns to identify meaning from complex inter-connections.

The reality is, the explosion of consumer cloud applications has empowered workers to circumvent IT departments altogether and select their own software solutions, whether or not they’re safe or even remotely suitable for the workplace. In order to ensure workers use approved software that meets enterprise security and compliance standards, IT departments should implement solutions that offer the equivalent user experience to most consumer cloud applications. By closing the gap between the historically disparate user experiences of IT administrators and end-users, both parties can be more productive, compliant and secure.

Linda Ellis, Ph.D., is Senior Manager, User Experience at Ipswitch.

Hot Topics

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...

User Experience Demands Transformation in Today’s Enterprise IT Network Management

Linda Ellis

Historically, many workers stayed clear of their company’s IT department. They didn’t understand -- or even need to understand -- how servers, firewalls and data centers supported their daily tasks. The responsibility of selecting, implementing and continuously managing complex network software was delegated to specialized IT administrators, with fellow employees left blissfully unaware of the IT infrastructure that made their work possible.

But times have changed. As technology has become increasingly crucial for the success and scalability of any business, IT departments have become more central and collaborative. The rise of consumer technology in the workplace has also affected enterprise IT. Cloud-based tools like Dropbox, Google Drive or Evernote have surged in popularity thanks to their stellar user experiences, and both IT departments and workers have benefited from their affordable price and accessibility.

Despite their availability and ease of use, however, consumer applications can quickly become a nightmare for companies and their IT departments. There’s often no control over what applications are being used, what content is being distributed or who’s accessing it, which can lead to serious security consequences like data leakage or compliance violations. In fact, a recent report by Netskope
found that a staggering 92% of cloud applications are not rated enterprise ready, meaning they lack the security, audit and certification, service-level agreement, legal and vulnerability capabilities required for safe workplace use.

In order to keep up with the ever-changing needs of enterprise IT networking and security, IT departments need to leverage software solutions that offer intuitive and seamless user experiences to both workers and IT administrators. By participating in identifying and implementing tools that fill employees needs while providing quality experiences, IT departments can support employee productivity rather than hinder it. At the same time, they’ll be able to more easily and securely govern the plethora of consumer applications inundating the enterprise.

Below are examples of software characteristics and user experience best practices that can provide workers with efficient workflows yet also meet the functionality requirements of IT administrators:

■ Web-accessible features can simplify authentication, access, and use, as well as provide the modern styles and interaction elements that workers have come to expect from their tools.

■ Software that has been optimized to simplify the user experience of the most common workflows allows frequently performed tasks to be conducted in a clear and streamlined fashion.

■ Menus that are easy to navigate, responsive, and tailored to user access rights provide customized experiences for each user, and are especially important for comprehensive software solutions that work well for both workers and IT administrators.

■ Data-intensive software should use presentation methods that match the data’s purpose. For example, use lists and tables when the purpose is to compare across multiple items so the data is easy to visually scan, but when the task requires manipulating items, use objects like icons or tiles to present the data to support more direct interaction.

■ Software should present data that is accurate and relevant to the task. For example, if the purpose is to provide actionable insight to a dynamic system, the data should refresh on its own, be specific to the purpose, and be presented so that a glance is all that is required to notice an important change.

■ The software should leverage the strengths of both technology and the end-user. While computers with powerful processors and large databases can churn through massive amounts of data, well-designed software can also rely on the human element to be part of its success. For example, presenting content as graphically arranged objects like a map can tap into the human brain’s ability to pick out and recognize visual patterns to identify meaning from complex inter-connections.

The reality is, the explosion of consumer cloud applications has empowered workers to circumvent IT departments altogether and select their own software solutions, whether or not they’re safe or even remotely suitable for the workplace. In order to ensure workers use approved software that meets enterprise security and compliance standards, IT departments should implement solutions that offer the equivalent user experience to most consumer cloud applications. By closing the gap between the historically disparate user experiences of IT administrators and end-users, both parties can be more productive, compliant and secure.

Linda Ellis, Ph.D., is Senior Manager, User Experience at Ipswitch.

Hot Topics

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...