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2022 Application Performance Management Predictions - Part 6

Industry experts offer thoughtful, insightful, and often controversial predictions on how APM, AIOps, Observability, OpenTelemetry, and related technologies will evolve and impact business in 2022. Part 6 covers the user experience.

Start with: 2022 Application Performance Management Predictions - Part 1

Start with: 2022 Application Performance Management Predictions - Part 2

Start with: 2022 Application Performance Management Predictions - Part 3

Start with: 2022 Application Performance Management Predictions - Part 4

Start with: 2022 Application Performance Management Predictions - Part 5

TOTAL EXPERIENCE

The total experience (TX) trend is essentially about connecting the previously distinct disciplines of customer experience (CX), user experience (UX), employee experience (EX), and multi-experience (MX). The objective is to create a meaningful overall experience that satisfies and motivates employees and customers alike and boosts their loyalty.
Daniel Fallmann
Founder and CEO, Mindbreeze

EUEM EXPANDS ROLE

In 2022, we expect companies to invest and implement End-User Experience Management (EUEM) solutions in business areas beyond HR and Training. Line of Business leaders will use these tools to better understand the context of people, and how they are interacting with enterprise applications to drive desired business outcomes. As companies resume spending and investment in digital transformation projects, we expect EUEM solutions to be heavily involved, as tools to de-risk high profile projects, but also as a means of uncovering new areas of opportunity for improvement and change.
Josh Tambor
Customer Success Manager, Knoa Software

EMPLOYEE EXPERIENCE

CIOs are increasingly focused on providing amazing employee experiences with technology. This trend will continue and employee CSAT will become an important KPI for IT. ITSM systems will drive this transformation in 2022 and beyond by meeting employees where they are, on their turf, with self-service capabilities built into technologies and channels that employees are already using every day.
Manish Srivastava
VP, ITSM Product Management, ServiceNow

The 20s usher in the age of the employee. In the past decade, we've seen the consumerization of IT grip the enterprise, and in the next several years we'll see the emergence of the consumerization of enterprise applications to meet employee demand for intuitive, interactive apps to do their jobs well and better interact with others in a hybrid environment. Employees are now consumers driving a worker-led revolution to adopt user-friendly technologies, such as Apple products, Box, Zoom, Slack and more. To further support employee expectations, we'll also see intelligence capabilities increasingly embedded in apps and services — ultimately driving enhanced productivity, innovation and well-being across the board.
Derek Holt
GM of Agile and DevOps, Digital.ai

As part of the "measure what you got" stage, organizations will use analytics and data to see how well employees are using the technology platforms provided to them. Organizations will be able to see where employees are being held up, if their tech investments are proving productive, and where improvements can be made. As such, the user experience will become paramount for true digital adoption that will lead to greater return on organizations' technology investments. And while technology is indeed digital, the user is human. Those organizations that bridge the gap between the digital and the user will achieve greater ROI.
Rafael Sweary
President and Co-Founder, WalkMe

DEVELOPER EXPERIENCE

Open source and OpenTelemetry are driving the observability industry together, but at the end of the day, it's all about the developer experience. Companies building any kind of tooling for developers needs to remember that the developer is the key asset to focus on. You need to make them successful, give them a delightful experience and remove all friction. This way they can move fast and focus on what they need. Developers are one of the reasons that open source is growing so much. Developers want to be in a community where they can work with others, and they can collaborate in a larger group and be part of something a bit bigger. Especially during these times of COVID-19 where we're not as close as we used to be. So anything we can do to cultivate a better experience, whether for that individual developer or a group of developers, goes a long way. Every vendor and every customer should recognize the importance of the developer.
Frank Reno
Principal PM and Open Source Ambassador, Sumo Logic

CUSTOMER ENGAGEMENT

After the last two years, even the laggards in the industry now understand the value of transforming their operations to digital first, whether its retail, transportation, energy, healthcare, or government. We'll continue to see an aggressive push towards creating a digital engagement strategy with customers, one which requires a 360-degree view of the customer and creates a seamless customer journey. Combine that with the concept of the Metaverse, and you'll start to see immersive customer engagement platforms emerging, which leverage AI, visual recognition, AR and other underlying technologies.
Savinay Berry
EVP, Product and Engineering, Vonage

DIGITAL EXPERIENCE MANAGEMENT

In 2022, business leaders will increasingly recognize that employee experience and customer experience are intertwined at a granular level — from the application, infrastructure, and even data layers. Businesses must have visibility across all of these layers and associated user experiences to drive their transformation agendas forward.
Mike Marks
Product Marketing, Aternity

EUEM AND DEM TOGETHER

We expect that companies will deploy End-User Experience Management (EUEM) and Digital Experience Management (DEM) and digital adoption solutions together. EUEM solutions provide context into where users can benefit from additional learning as well as measure the effectiveness of these initiatives.
Josh Tambor
Customer Success Manager, Knoa Software

RUNTIME CONTROL

In 2022, ensuring every application is available, functional and fast across every channel will require runtime control. As the adoption of cloud and containers continues to increase, applications rely on more dependencies. This increase in decomposition and decentralization makes it impossible to assure the digital experience without runtime control that can tune and calibrate services as needed.
Tobias Kunze
CEO and Co-Founder, Glasnostic

Go to: 2022 Remote Work Predictions

The Latest

Pilots are everywhere, stakeholders are seeking results, businesses are pushing for new tools, and IT teams are being asked to make AI secure, reliable, and useful at scale. But as organizations move from testing AI to operationalizing it, many are discovering that the biggest barrier is not the model, the use case, or even the budget. It is the file data foundation within ...

Fast or cheap? For most of my career in engineering, speed and quality sat on opposite ends of a seesaw. The "OR" in "fast or cheap" was non-negotiable. It was expected that pushing for faster releases meant that something in quality would give way. Tightening quality controls meant the schedule slipped. Every engineering leader I know has lived some version of that tradeoff ... The seesaw is starting to level out ...

I have been building enterprise software for more than 20 years ... One thing stays true across all of it: You do not find out your foundation is wrong during the crisis. You find out when the debt comes due. For a lot of organizations, that bill is arriving now. New research ... puts hard numbers on something practitioners have been sensing for a while. The telemetry problem isn't coming. It's already here ...

The rapid growth of AI workloads is pushing traditional log management approaches to their limits, according to The State of Log Management 2026 report from Dynatrace. Modern logs have become critical to understanding, validating, and securing AI-driven decisions, helping organizations ensure reliability, compliance, and performance at scale. However, the volume and complexity of AI telemetry are overwhelming legacy tools ...

For years, secure connectivity has relied on a familiar pattern: route traffic back to centralized gateways, inspect it, and then allow access. This model worked when applications lived in a handful of data centers and users were largely confined to offices. That model is now under strain. Applications are distributed across clouds, users connect from everywhere, and real-time workloads demand performance that centralized inspection points struggle to deliver. As traffic volumes grow and latency expectations shrink, routing everything through a small number of control points has become both a performance bottleneck and a resilience risk. The future of secure connectivity requires a different approach ...

The AI experimentation phase is over, and the private cloud is where enterprise AI workloads are being deployed for security and scale, according to Private Cloud Outlook 2026, a new report from Broadcom ... 2026 marks an acceleration into a full AI tipping point. The shift is being shaped by three forces — costs, complexity, and control — that public cloud environments are increasingly failing to address for production AI at scale. Key findings from the report include ...

44% of organizations have reported an outage in the past year tied to suppressed or ignored alerts, and 78% had at least one incident where no alert was fired at all ... Engineers learned about failures from customers. That gap between what our tools report and what our customers experience is the problem DevOps teams have been quietly solving with GenAI tooling, even as most enterprises continue to run their NOCs on manual alert triage ...

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 ...

In the ever-evolving digital landscape, enterprises are increasingly focused on enhancing their observability stacks to gain deeper insights into their IT environments. Observability has become a cornerstone of modern IT operations, enabling organizations to monitor, diagnose, and optimize their systems with unprecedented precision. However, a critical piece of the puzzle often goes unnoticed in this transformation: IBM i ...

2022 Application Performance Management Predictions - Part 6

Industry experts offer thoughtful, insightful, and often controversial predictions on how APM, AIOps, Observability, OpenTelemetry, and related technologies will evolve and impact business in 2022. Part 6 covers the user experience.

Start with: 2022 Application Performance Management Predictions - Part 1

Start with: 2022 Application Performance Management Predictions - Part 2

Start with: 2022 Application Performance Management Predictions - Part 3

Start with: 2022 Application Performance Management Predictions - Part 4

Start with: 2022 Application Performance Management Predictions - Part 5

TOTAL EXPERIENCE

The total experience (TX) trend is essentially about connecting the previously distinct disciplines of customer experience (CX), user experience (UX), employee experience (EX), and multi-experience (MX). The objective is to create a meaningful overall experience that satisfies and motivates employees and customers alike and boosts their loyalty.
Daniel Fallmann
Founder and CEO, Mindbreeze

EUEM EXPANDS ROLE

In 2022, we expect companies to invest and implement End-User Experience Management (EUEM) solutions in business areas beyond HR and Training. Line of Business leaders will use these tools to better understand the context of people, and how they are interacting with enterprise applications to drive desired business outcomes. As companies resume spending and investment in digital transformation projects, we expect EUEM solutions to be heavily involved, as tools to de-risk high profile projects, but also as a means of uncovering new areas of opportunity for improvement and change.
Josh Tambor
Customer Success Manager, Knoa Software

EMPLOYEE EXPERIENCE

CIOs are increasingly focused on providing amazing employee experiences with technology. This trend will continue and employee CSAT will become an important KPI for IT. ITSM systems will drive this transformation in 2022 and beyond by meeting employees where they are, on their turf, with self-service capabilities built into technologies and channels that employees are already using every day.
Manish Srivastava
VP, ITSM Product Management, ServiceNow

The 20s usher in the age of the employee. In the past decade, we've seen the consumerization of IT grip the enterprise, and in the next several years we'll see the emergence of the consumerization of enterprise applications to meet employee demand for intuitive, interactive apps to do their jobs well and better interact with others in a hybrid environment. Employees are now consumers driving a worker-led revolution to adopt user-friendly technologies, such as Apple products, Box, Zoom, Slack and more. To further support employee expectations, we'll also see intelligence capabilities increasingly embedded in apps and services — ultimately driving enhanced productivity, innovation and well-being across the board.
Derek Holt
GM of Agile and DevOps, Digital.ai

As part of the "measure what you got" stage, organizations will use analytics and data to see how well employees are using the technology platforms provided to them. Organizations will be able to see where employees are being held up, if their tech investments are proving productive, and where improvements can be made. As such, the user experience will become paramount for true digital adoption that will lead to greater return on organizations' technology investments. And while technology is indeed digital, the user is human. Those organizations that bridge the gap between the digital and the user will achieve greater ROI.
Rafael Sweary
President and Co-Founder, WalkMe

DEVELOPER EXPERIENCE

Open source and OpenTelemetry are driving the observability industry together, but at the end of the day, it's all about the developer experience. Companies building any kind of tooling for developers needs to remember that the developer is the key asset to focus on. You need to make them successful, give them a delightful experience and remove all friction. This way they can move fast and focus on what they need. Developers are one of the reasons that open source is growing so much. Developers want to be in a community where they can work with others, and they can collaborate in a larger group and be part of something a bit bigger. Especially during these times of COVID-19 where we're not as close as we used to be. So anything we can do to cultivate a better experience, whether for that individual developer or a group of developers, goes a long way. Every vendor and every customer should recognize the importance of the developer.
Frank Reno
Principal PM and Open Source Ambassador, Sumo Logic

CUSTOMER ENGAGEMENT

After the last two years, even the laggards in the industry now understand the value of transforming their operations to digital first, whether its retail, transportation, energy, healthcare, or government. We'll continue to see an aggressive push towards creating a digital engagement strategy with customers, one which requires a 360-degree view of the customer and creates a seamless customer journey. Combine that with the concept of the Metaverse, and you'll start to see immersive customer engagement platforms emerging, which leverage AI, visual recognition, AR and other underlying technologies.
Savinay Berry
EVP, Product and Engineering, Vonage

DIGITAL EXPERIENCE MANAGEMENT

In 2022, business leaders will increasingly recognize that employee experience and customer experience are intertwined at a granular level — from the application, infrastructure, and even data layers. Businesses must have visibility across all of these layers and associated user experiences to drive their transformation agendas forward.
Mike Marks
Product Marketing, Aternity

EUEM AND DEM TOGETHER

We expect that companies will deploy End-User Experience Management (EUEM) and Digital Experience Management (DEM) and digital adoption solutions together. EUEM solutions provide context into where users can benefit from additional learning as well as measure the effectiveness of these initiatives.
Josh Tambor
Customer Success Manager, Knoa Software

RUNTIME CONTROL

In 2022, ensuring every application is available, functional and fast across every channel will require runtime control. As the adoption of cloud and containers continues to increase, applications rely on more dependencies. This increase in decomposition and decentralization makes it impossible to assure the digital experience without runtime control that can tune and calibrate services as needed.
Tobias Kunze
CEO and Co-Founder, Glasnostic

Go to: 2022 Remote Work Predictions

The Latest

Pilots are everywhere, stakeholders are seeking results, businesses are pushing for new tools, and IT teams are being asked to make AI secure, reliable, and useful at scale. But as organizations move from testing AI to operationalizing it, many are discovering that the biggest barrier is not the model, the use case, or even the budget. It is the file data foundation within ...

Fast or cheap? For most of my career in engineering, speed and quality sat on opposite ends of a seesaw. The "OR" in "fast or cheap" was non-negotiable. It was expected that pushing for faster releases meant that something in quality would give way. Tightening quality controls meant the schedule slipped. Every engineering leader I know has lived some version of that tradeoff ... The seesaw is starting to level out ...

I have been building enterprise software for more than 20 years ... One thing stays true across all of it: You do not find out your foundation is wrong during the crisis. You find out when the debt comes due. For a lot of organizations, that bill is arriving now. New research ... puts hard numbers on something practitioners have been sensing for a while. The telemetry problem isn't coming. It's already here ...

The rapid growth of AI workloads is pushing traditional log management approaches to their limits, according to The State of Log Management 2026 report from Dynatrace. Modern logs have become critical to understanding, validating, and securing AI-driven decisions, helping organizations ensure reliability, compliance, and performance at scale. However, the volume and complexity of AI telemetry are overwhelming legacy tools ...

For years, secure connectivity has relied on a familiar pattern: route traffic back to centralized gateways, inspect it, and then allow access. This model worked when applications lived in a handful of data centers and users were largely confined to offices. That model is now under strain. Applications are distributed across clouds, users connect from everywhere, and real-time workloads demand performance that centralized inspection points struggle to deliver. As traffic volumes grow and latency expectations shrink, routing everything through a small number of control points has become both a performance bottleneck and a resilience risk. The future of secure connectivity requires a different approach ...

The AI experimentation phase is over, and the private cloud is where enterprise AI workloads are being deployed for security and scale, according to Private Cloud Outlook 2026, a new report from Broadcom ... 2026 marks an acceleration into a full AI tipping point. The shift is being shaped by three forces — costs, complexity, and control — that public cloud environments are increasingly failing to address for production AI at scale. Key findings from the report include ...

44% of organizations have reported an outage in the past year tied to suppressed or ignored alerts, and 78% had at least one incident where no alert was fired at all ... Engineers learned about failures from customers. That gap between what our tools report and what our customers experience is the problem DevOps teams have been quietly solving with GenAI tooling, even as most enterprises continue to run their NOCs on manual alert triage ...

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 ...

In the ever-evolving digital landscape, enterprises are increasingly focused on enhancing their observability stacks to gain deeper insights into their IT environments. Observability has become a cornerstone of modern IT operations, enabling organizations to monitor, diagnose, and optimize their systems with unprecedented precision. However, a critical piece of the puzzle often goes unnoticed in this transformation: IBM i ...