End User Experience - Perceptions of Performance

Larry Dragich

If something has always worked, there is a notion that creeps in that says we don't need to improve it, stick with the tried and true. Unless we are concerned that it will fall out of favor or fail to provide us the benefits from when it was first acquired.

When put into the context of technology we enter into tricky territory, trading off new functionality for stability, or stability for new functionality depending on what camp you call home, Development or Operations.

Consider the paradox when vying for limited IT resources from a highly scrutinized capital budget; too small to do it right but too big not to. 

Using the end-user-experience (EUE) as a yard stick to measure application performance helps provide the needed visibility to create tangible metrics for strategic decision making.

Communicating in terms of the EUE provides a focal point that allows IT to make a connection to the business and speak to them in a language they can appreciate. It doesn't matter if every system dashboard is green, if the end user has a perception that the application is slow, then it is slow.

We are only limited by our beliefs and the perceptions we have of what is real and what brings us value. The end users of our critical business systems are no different, and with the convergence of technology finding its way to their own personal devices, meeting the expectations of a quality customer experience for everyone is much more difficult.

Consider using the Application Performance Management (APM) framework as a reference when working to improve the Customer Experience. The framework puts the EUE at the heart of it all and creates the necessary focus point to help make that connection to the business.

Understandably, the technology saga in how to extract the most meaningful end-user-experience metrics that the business can relate too, can leave even the savviest IT leader perplexed about what tools they should use and what processes they should follow.

Before you select a tool-set or roll out a new process, I recommend starting with a simple APM methodology focused on the EUE. On SlideShare: Click here

You can contact Larry on LinkedIn. 

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End User Experience - Perceptions of Performance

Larry Dragich

If something has always worked, there is a notion that creeps in that says we don't need to improve it, stick with the tried and true. Unless we are concerned that it will fall out of favor or fail to provide us the benefits from when it was first acquired.

When put into the context of technology we enter into tricky territory, trading off new functionality for stability, or stability for new functionality depending on what camp you call home, Development or Operations.

Consider the paradox when vying for limited IT resources from a highly scrutinized capital budget; too small to do it right but too big not to. 

Using the end-user-experience (EUE) as a yard stick to measure application performance helps provide the needed visibility to create tangible metrics for strategic decision making.

Communicating in terms of the EUE provides a focal point that allows IT to make a connection to the business and speak to them in a language they can appreciate. It doesn't matter if every system dashboard is green, if the end user has a perception that the application is slow, then it is slow.

We are only limited by our beliefs and the perceptions we have of what is real and what brings us value. The end users of our critical business systems are no different, and with the convergence of technology finding its way to their own personal devices, meeting the expectations of a quality customer experience for everyone is much more difficult.

Consider using the Application Performance Management (APM) framework as a reference when working to improve the Customer Experience. The framework puts the EUE at the heart of it all and creates the necessary focus point to help make that connection to the business.

Understandably, the technology saga in how to extract the most meaningful end-user-experience metrics that the business can relate too, can leave even the savviest IT leader perplexed about what tools they should use and what processes they should follow.

Before you select a tool-set or roll out a new process, I recommend starting with a simple APM methodology focused on the EUE. On SlideShare: Click here

You can contact Larry on LinkedIn. 

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Cyber threats are growing more sophisticated every day, and at their forefront are zero-day vulnerabilities. These elusive security gaps are exploited before a fix becomes available, making them among the most dangerous threats in today's digital landscape ... This guide will explore what these vulnerabilities are, how they work, why they pose such a significant threat, and how modern organizations can stay protected ...

Data Center Outages Becoming Less Frequent

The prevention of data center outages continues to be a strategic priority for data center owners and operators. Infrastructure equipment has improved, but the complexity of modern architectures and evolving external threats presents new risks that operators must actively manage, according to the Data Center Outage Analysis 2025 from Uptime Institute ...

Instrumentation Score: Quantifying Telemetry Quality

As observability engineers, we navigate a sea of telemetry daily. We instrument our applications, configure collectors, and build dashboards, all in pursuit of understanding our complex distributed systems. Yet, amidst this flood of data, a critical question often remains unspoken, or at best, answered by gut feeling: "Is our telemetry actually good?" ... We're inviting you to participate in shaping a foundational element for better observability: the Instrumentation Score ...

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We're inching ever closer toward a long-held goal: technology infrastructure that is so automated that it can protect itself. But as IT leaders aggressively employ automation across our enterprises, we need to continuously reassess what AI is ready to manage autonomously and what can not yet be trusted to algorithms ...

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Much like a traditional factory turns raw materials into finished products, the AI factory turns vast datasets into actionable business outcomes through advanced models, inferences, and automation. From the earliest data inputs to the final token output, this process must be reliable, repeatable, and scalable. That requires industrializing the way AI is developed, deployed, and managed ...

Think You've Heard Everything About the Debate over RTO? Here's the Big Thing Leaders Are Missing

Almost half (48%) of employees admit they resent their jobs but stay anyway, according to research from Ivanti ... This has obvious consequences across the business, but we're overlooking the massive impact of resenteeism and presenteeism on IT. For IT professionals tasked with managing the backbone of modern business operations, these numbers spell big trouble ...

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For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

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FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

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