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Newsflash: User Experience Is Bigger Than Data

Denis Goodwin

In a recent post, Why Today's APM Solutions Aren't Optimized for DevOps, I discussed the odd contradiction I’ve been noticing lately in the APM marketplace. Fragmented approaches to APM are being promoted as solutions to support the DevOps ideal of continuous integration and delivery, but the stark lack of integrated tools in these APM arsenals isn’t likely to make communication and collaboration between dev and ops any easier or more efficient.

That’s why integrated, unified APM solutions — consisting of software tools and testing functions that can fluently speak to each other and look at the same information at the same time — are the only hope for APM in a streamlined DevOps world. Unfortunately, even the best attempts at tool integration won’t solve the deeper issues of performance management if they approach it completely backwards from the start.


The Varieties of Anti-User Experience

The problem is, most vendors in the APM arena are looking at what they do from the wrong way around. Starting from the volumes of data that their tools generate and record, they woo and immerse their customers in “analytics.” Eventually, somewhere down the line, they may accidentally stumble upon the issues that are actually impacting end users.

Lo and behold! There are humans on the other side of this matrix. And what kind of experience are those users of the application having? It’s hard to say, since we can only extrapolate from our data and try to imagine what the quality of the user experience might be. But wait a minute – How does that make any sense? Shouldn’t we be looking at application speed and response time from the perspective of the people to whom it ultimately matters? Whose idea was it, anyway, to privilege data analytics over what our end users actually experience and perceive?

Data: A Supporting Character in a Story Written By User Experience

These are obviously rhetorical questions, because there’s always been a better way to engage in APM, and it begins and ends with the end-user. If monitoring and optimizing performance to deliver a streamlined end-user experience is our goal, then it should be obvious that the right way to go about it is to start with our end-users’ experience and work our way back through the software architecture from there.

At the end of the day, no matter how many sources of performance lags you’ve caught and corrected, your efforts only make a difference if they improve the user experience of your software. Your work needs to become user-centric, both in theory and in practice, if customer experience has any connection to your business and revenue goals (which it almost always, most certainly does).

Of course, monitoring server responses, stressing your system baselines with regular load tests, and analyzing the resulting data is essential to being able to manage the quality and reliability of your applications, day in and day out. I’m not arguing otherwise. Big-data analytics and code-level visibility are important concepts in the APM space, and I believe them to be critical components of any full-featured, end-to-end solution.

But the fact remains that user experience is actually bigger and more inclusive than data, because without a clear emphasis on your end-user experience, your deep-data dives may lose their meaning. The fact is, sometimes performance problems can’t even be found at the level of code and internal datacenters, but rather in more obvious user experience issues, like a slow web page caused by 3rd party content. As the old adage has it, if you focus only on the trees, you may lose sight of the forest ... and end up getting lost.

But perhaps Steve said it best:

“You’ve got to start with the customer experience and work back toward the technology – not the other way around.”
-Steve Jobs

Denis Goodwin is Director of Product Management, APM, AlertSite UXM, SmartBear Software.

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Newsflash: User Experience Is Bigger Than Data

Denis Goodwin

In a recent post, Why Today's APM Solutions Aren't Optimized for DevOps, I discussed the odd contradiction I’ve been noticing lately in the APM marketplace. Fragmented approaches to APM are being promoted as solutions to support the DevOps ideal of continuous integration and delivery, but the stark lack of integrated tools in these APM arsenals isn’t likely to make communication and collaboration between dev and ops any easier or more efficient.

That’s why integrated, unified APM solutions — consisting of software tools and testing functions that can fluently speak to each other and look at the same information at the same time — are the only hope for APM in a streamlined DevOps world. Unfortunately, even the best attempts at tool integration won’t solve the deeper issues of performance management if they approach it completely backwards from the start.


The Varieties of Anti-User Experience

The problem is, most vendors in the APM arena are looking at what they do from the wrong way around. Starting from the volumes of data that their tools generate and record, they woo and immerse their customers in “analytics.” Eventually, somewhere down the line, they may accidentally stumble upon the issues that are actually impacting end users.

Lo and behold! There are humans on the other side of this matrix. And what kind of experience are those users of the application having? It’s hard to say, since we can only extrapolate from our data and try to imagine what the quality of the user experience might be. But wait a minute – How does that make any sense? Shouldn’t we be looking at application speed and response time from the perspective of the people to whom it ultimately matters? Whose idea was it, anyway, to privilege data analytics over what our end users actually experience and perceive?

Data: A Supporting Character in a Story Written By User Experience

These are obviously rhetorical questions, because there’s always been a better way to engage in APM, and it begins and ends with the end-user. If monitoring and optimizing performance to deliver a streamlined end-user experience is our goal, then it should be obvious that the right way to go about it is to start with our end-users’ experience and work our way back through the software architecture from there.

At the end of the day, no matter how many sources of performance lags you’ve caught and corrected, your efforts only make a difference if they improve the user experience of your software. Your work needs to become user-centric, both in theory and in practice, if customer experience has any connection to your business and revenue goals (which it almost always, most certainly does).

Of course, monitoring server responses, stressing your system baselines with regular load tests, and analyzing the resulting data is essential to being able to manage the quality and reliability of your applications, day in and day out. I’m not arguing otherwise. Big-data analytics and code-level visibility are important concepts in the APM space, and I believe them to be critical components of any full-featured, end-to-end solution.

But the fact remains that user experience is actually bigger and more inclusive than data, because without a clear emphasis on your end-user experience, your deep-data dives may lose their meaning. The fact is, sometimes performance problems can’t even be found at the level of code and internal datacenters, but rather in more obvious user experience issues, like a slow web page caused by 3rd party content. As the old adage has it, if you focus only on the trees, you may lose sight of the forest ... and end up getting lost.

But perhaps Steve said it best:

“You’ve got to start with the customer experience and work back toward the technology – not the other way around.”
-Steve Jobs

Denis Goodwin is Director of Product Management, APM, AlertSite UXM, SmartBear Software.

The Latest

Gartner identified the top data and analytics (D&A) trends for 2025 that are driving the emergence of a wide range of challenges, including organizational and human issues ...

Traditional network monitoring, while valuable, often falls short in providing the context needed to truly understand network behavior. This is where observability shines. In this blog, we'll compare and contrast traditional network monitoring and observability — highlighting the benefits of this evolving approach ...

A recent Rocket Software and Foundry study found that just 28% of organizations fully leverage their mainframe data, a concerning statistic given its critical role in powering AI models, predictive analytics, and informed decision-making ...

What kind of ROI is your organization seeing on its technology investments? If your answer is "it's complicated," you're not alone. According to a recent study conducted by Apptio ... there is a disconnect between enterprise technology spending and organizations' ability to measure the results ...

In today’s data and AI driven world, enterprises across industries are utilizing AI to invent new business models, reimagine business and achieve efficiency in operations. However, enterprises may face challenges like flawed or biased AI decisions, sensitive data breaches and rising regulatory risks ...

In MEAN TIME TO INSIGHT Episode 12, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses purchasing new network observability solutions.... 

There's an image problem with mobile app security. While it's critical for highly regulated industries like financial services, it is often overlooked in others. This usually comes down to development priorities, which typically fall into three categories: user experience, app performance, and app security. When dealing with finite resources such as time, shifting priorities, and team skill sets, engineering teams often have to prioritize one over the others. Usually, security is the odd man out ...

Image
Guardsquare

IT outages, caused by poor-quality software updates, are no longer rare incidents but rather frequent occurrences, directly impacting over half of US consumers. According to the 2024 Software Failure Sentiment Report from Harness, many now equate these failures to critical public health crises ...

In just a few months, Google will again head to Washington DC and meet with the government for a two-week remedy trial to cement the fate of what happens to Chrome and its search business in the face of ongoing antitrust court case(s). Or, Google may proactively decide to make changes, putting the power in its hands to outline a suitable remedy. Regardless of the outcome, one thing is sure: there will be far more implications for AI than just a shift in Google's Search business ... 

Image
Chrome

In today's fast-paced digital world, Application Performance Monitoring (APM) is crucial for maintaining the health of an organization's digital ecosystem. However, the complexities of modern IT environments, including distributed architectures, hybrid clouds, and dynamic workloads, present significant challenges ... This blog explores the challenges of implementing application performance monitoring (APM) and offers strategies for overcoming them ...