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Why Government Agencies Aren't Ready to Return to the Office

Mike Marks
Riverbed

US government agencies are bringing more of their employees back into the office and implementing hybrid work schedules, but federal workers are worried that their agencies' IT architectures aren't built to handle the "new normal." They fear that the reactive, manual methods used by the current systems in dealing with user, IT architecture and application problems will degrade the user experience and negatively affect productivity.

In fact, according to a recent survey, many federal employees are concerned that they won't work as effectively back in the office as they did at home.

Employees Worry the User Experience Will Suffer

A Swish Data/Riverbed survey of federal IT workers, conducted in April and May by Market Connections, found that about half (47%) expect hybrid schedules that include teleworking two to four days a week to continue long-term, but that 52% think that the legacy IT and on-premises network architectures will struggle with the increased use of on-site collaboration tools such as Microsoft Teams and Zoom.

Those shortcomings manifest themselves in the user experience, the survey found. Forty-four percent of respondents are concerned that their user experience working in the office would fall short of their experience working from home. And a significant reason for the disconnect is the outdated methods agencies use to identify and quantify problems that arise with IT operations, and how those problems affect users.

A full 100% of survey respondents said it is at least somewhat important to measure the employees' user experience of productivity capabilities. But 87% said their agencies still rely — reactively — on waiting for help desk tickets to be generated before addressing problems. In fact, 51% rely on user phone calls as the primary means of quantifying problems.

The result, according to 59% of the feds surveyed, is that agencies aren't aware of the impact that changes in their IT environments are having. They're not measuring business-function productivity in terms of labor costs, latency or rates of success, all of which are tied to user experience. A majority of respondents said that although their organizations compare the business transaction productivity of teleworkers to that of in-office workers, they do so only partially. And measuring and comparing employee productivity is less likely to happen at civilian agencies than within the Department of Defense.

Unified Observability Takes a Proactive Approach

In light of the realities of hybrid work—with flexible home/office schedules, a greater reliance on collaboration tools and the shift toward greater use of digital workflows — federal employees are looking for a balance between collaborative tools and in-person needs.

A proactive approach that combines comprehensive network visibility and effective monitoring tools can provide a clear view of the user experience, which can enable both increased productivity and enhanced user satisfaction.

A Unified Observability platform can provide full-fidelity data from across the enterprise, capturing all transactions, packets and workflows. Using automated artificial intelligence and machine learning tools, it can prioritize actions to help enable cross-domain collaboration and coordination. While greatly improving the ability of IT teams to identify and remediate any problems (ranging from cyberattacks to workflow bottlenecks), Unified Observability enables IT teams to improve service delivery.

The higher quality of IT service will improve employee performance and the delivery of services to constituents and other stakeholders by allowing employees to more seamlessly perform their jobs, whether working from home or in the office. The visibility provided by a Unified Observability platform allows multiple teams across the enterprise to identify and analyze user issues while making use of automation to quickly resolve any problems.

"Government from Anywhere" as a Reality

The impact of the COVID-19 pandemic on top of digital transformations that were already underway has forever changed how agencies operate. The concept of "government from anywhere" is a widespread goal, but it requires a cultural change at most agencies. The survey recipients agreed, with 87% saying that their agency culture played a growing or significant role in driving change.

Abandoning inefficient, reactive methods of measuring the user experience in favor of enterprise-wide visibility with proactive monitoring and analysis will improve user experiences regardless of their location, while also boosting agency performance overall.

Mike Marks is VP of Product Marketing at Riverbed

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Why Government Agencies Aren't Ready to Return to the Office

Mike Marks
Riverbed

US government agencies are bringing more of their employees back into the office and implementing hybrid work schedules, but federal workers are worried that their agencies' IT architectures aren't built to handle the "new normal." They fear that the reactive, manual methods used by the current systems in dealing with user, IT architecture and application problems will degrade the user experience and negatively affect productivity.

In fact, according to a recent survey, many federal employees are concerned that they won't work as effectively back in the office as they did at home.

Employees Worry the User Experience Will Suffer

A Swish Data/Riverbed survey of federal IT workers, conducted in April and May by Market Connections, found that about half (47%) expect hybrid schedules that include teleworking two to four days a week to continue long-term, but that 52% think that the legacy IT and on-premises network architectures will struggle with the increased use of on-site collaboration tools such as Microsoft Teams and Zoom.

Those shortcomings manifest themselves in the user experience, the survey found. Forty-four percent of respondents are concerned that their user experience working in the office would fall short of their experience working from home. And a significant reason for the disconnect is the outdated methods agencies use to identify and quantify problems that arise with IT operations, and how those problems affect users.

A full 100% of survey respondents said it is at least somewhat important to measure the employees' user experience of productivity capabilities. But 87% said their agencies still rely — reactively — on waiting for help desk tickets to be generated before addressing problems. In fact, 51% rely on user phone calls as the primary means of quantifying problems.

The result, according to 59% of the feds surveyed, is that agencies aren't aware of the impact that changes in their IT environments are having. They're not measuring business-function productivity in terms of labor costs, latency or rates of success, all of which are tied to user experience. A majority of respondents said that although their organizations compare the business transaction productivity of teleworkers to that of in-office workers, they do so only partially. And measuring and comparing employee productivity is less likely to happen at civilian agencies than within the Department of Defense.

Unified Observability Takes a Proactive Approach

In light of the realities of hybrid work—with flexible home/office schedules, a greater reliance on collaboration tools and the shift toward greater use of digital workflows — federal employees are looking for a balance between collaborative tools and in-person needs.

A proactive approach that combines comprehensive network visibility and effective monitoring tools can provide a clear view of the user experience, which can enable both increased productivity and enhanced user satisfaction.

A Unified Observability platform can provide full-fidelity data from across the enterprise, capturing all transactions, packets and workflows. Using automated artificial intelligence and machine learning tools, it can prioritize actions to help enable cross-domain collaboration and coordination. While greatly improving the ability of IT teams to identify and remediate any problems (ranging from cyberattacks to workflow bottlenecks), Unified Observability enables IT teams to improve service delivery.

The higher quality of IT service will improve employee performance and the delivery of services to constituents and other stakeholders by allowing employees to more seamlessly perform their jobs, whether working from home or in the office. The visibility provided by a Unified Observability platform allows multiple teams across the enterprise to identify and analyze user issues while making use of automation to quickly resolve any problems.

"Government from Anywhere" as a Reality

The impact of the COVID-19 pandemic on top of digital transformations that were already underway has forever changed how agencies operate. The concept of "government from anywhere" is a widespread goal, but it requires a cultural change at most agencies. The survey recipients agreed, with 87% saying that their agency culture played a growing or significant role in driving change.

Abandoning inefficient, reactive methods of measuring the user experience in favor of enterprise-wide visibility with proactive monitoring and analysis will improve user experiences regardless of their location, while also boosting agency performance overall.

Mike Marks is VP of Product Marketing at Riverbed

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Cloud outages are usually described as technical failures. When a service goes down, a dependency breaks, or a region has issues, the focus immediately shifts to infrastructure. But if you look closely at how these incidents actually unfold, the root cause is rarely the technology itself. It is almost always tied to decisions made earlier, during design, implementation, or day-to-day operations. The system behaves the way it was built. The real question is how it was built ...

77% of leaders say their teams need AI skills urgently. 64% say their organization plans to train current employees rather than hire new ones. So far, so reasonable. The part that surprised me is who's been put in charge: 34% of those leaders say IT and engineering own the AI skills mandate. Learning and Development or HR own it at 7% of organizations. That's roughly five-to-one in favor of the people who understand the tools, over the people whose actual job is teaching adults how to learn new ones ...

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We just surveyed 300 frontend and mobile engineers across 16 countries, and the finding that keeps sticking with me isn't the one about AI. It's this: 74% of engineering teams rate themselves in the "middle" of the observability maturity scale. Not reactive, not strategic. Stuck in the middle. They have dashboards, they have tracing, they have alerts. And yet when something goes wrong, they still can't tell you why ...

In MEAN TIME TO INSIGHT Episode 25, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses  AI's impact on the Wide Area Network (WAN) ... 

Application performance monitoring (APM) dashboards are only as useful as what they are configured to measure. The default setup covers obvious failure modes such as downtime, error spikes, and latency breaches, but it does not cover everything. Some failures produce no alerts or anomalies. The dashboard stays green while users experience a broken product. Here are six signs that is happening ...

The race to deploy AI is largely over. Most enterprises have entered it. The question now is not whether artificial intelligence is running inside the organization. The question is whether anyone is genuinely responsible for what it does. That is not a technical question. It is a leadership one. And most organizations are not yet structured to answer it honestly ...

A new analysis of 250 real-world queries across common retail tasks, such as product pricing, availability, ratings, shipping and specifications, reveals systemic inefficiency at the heart of web-based AI agents. On average, 97.9% of the data retrieved by agents from live web pages is irrelevant to the query being answered. Specifically, the average page ingested ran nearly 9,000 characters, while the average answer was just 32 characters, resulting in a noise-to-signal ratio of 278:1. Price queries were the most extreme outlier, with noise rates approaching 99.5%. That's not a rounding error. That's a structural problem ...

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