2023 Application Performance Management Predictions - Part 7

Industry experts offer thoughtful, insightful, and often controversial predictions on how APM, AIOps, Observability, OpenTelemetry and related technologies will evolve and impact business in 2023. Part 7 covers the user experience.

Start with: 2023 Application Performance Management Predictions - Part 1

Start with: 2023 Application Performance Management Predictions - Part 2

Start with: 2023 Application Performance Management Predictions - Part 3

Start with: 2023 Application Performance Management Predictions - Part 4

Start with: 2023 Application Performance Management Predictions - Part 5

Start with: 2023 Application Performance Management Predictions - Part 6

DIGITAL EXPERIENCE MANAGEMENT MOVES UP THE PRIORITY LIST IN 2023

Digital experience management (DEM) has become extremely important over the past year, as it has a direct impact on employee attraction and retention. The new world of widely distributed workforces and hybrid work has placed a greater burden on IT teams to make sure employees remain productive and satisfied in their work. We predict that DEM will continue to move up the priority list and garner more IT budget in the coming years as HR departments will be looking to the CIO and the IT organization to remain competitive in terms of offering a productive, satisfying end-user experience.
Dan O'Farrell
VP of Product Marketing, IGEL

THE DIGITAL EXPERIENCE-CENTRIC ORGANIZATION

Companies will become increasingly digital and experience-focused to thrive. The pandemic showed every company that its ability to survive was closely attached to the use of digital touchpoints to connect and service customers. Companies had to double-down on digital tools, improve their skills for managing digital experiences, and change operational processes and business models to adopt this digital-first approach. The pandemic-induced digital acceleration has only increased the pressure on every company to become a digital, experience-centric organization.
Will Payman
Senior Director, Strategy Customer Experience, Synoptek

CONVERGENCE OF DIGITAL EXPERIENCE MANAGEMENT WITH HELPDESK

2023 will be the year of convergence — where the markets are colliding. Currently, ITSM and ITOM product line of business convergence is being witnessed. In the coming year, digital experience management blended with helpdesk functions like remote assistance will converge with service management.
Sree Subramaniam
Sr Dir, Inbound Product Mgmt, ITOM, ServiceNow

NEED FOR DIGITAL ACCESSIBILITY

As many as 19 million Americans are excluded when digital experiences are not designed with disabled people in mind. 62% of those who use assistive technologies — like screen readers, tactile keyboards and more — say they frequently experience errors on a given day and 44% of those who use this tech experience errors that keep them from accomplishing a task on a daily basis. Many organizations haven't focused on ensuring their tech is available and accessible to everyone, making them behind on their digital accessibility journey. In 2023, we expect companies who are not prioritizing digital accessibility to lose users extensively in favor of companies who are ensuring their websites, applications, digital documents and more are readily available for all their users — including those with disabilities — and putting steam into testing for digital accessibility. For those organizations who haven't given the care and attention needed in this area, we're expecting to see them launching new efforts to incorporate digital accessibility into their brands.
Marcus Merrell
VP of Technology Strategy, Sauce Labs

END-USER TOLERANCE FOR ERRORS CONTINUES TO DECLINE

User experience affects our everyday lives — and brands' bottom lines. ccording to a recent data study, nearly a quarter of consumers (23%) say they encounter an error or experience issue that keeps them from accomplishing a task online at least once a day, which is highly detrimental to brand trust and customer loyalty. With early 1 in 5 (18%) users saying they won't wait any length of time for an error to be fixed, they'll simply go somewhere else, and as tech becomes evermore pervasive, we expect end user tolerance for errors to continue to decline—making this a top priority for IT leaders.
Marcus Merrell
VP of Technology Strategy, Sauce Labs

CONNECTING THE DOTS BETWEEN CRASH AND ERROR REPORTING

How users interact with our applications and their experience with them has always been a factor in development. However, over time, the emphasis placed on user experience over other factors has ebbed and flowed. That will change as users will continue to expect smoother and faster experiences with applications and will have less tolerance when their apps fail to comply. This means organizations will need greater visibility into not just crashes and the errors associated with them, but the performance issues that are as good as a crash, like slow screen loads and frozen apps. I predict we will begin to see more emphasis on teams trying to connect the dots between crash and error reporting and performance issues to get the full picture of the user experience with their application, and a true(r) readout of their apps' performance.
Michael Olechna
Product Marketing Manager, SmartBear

WEB3 MAKES USER EXPERIENCE EVEN MORE CRITICAL

Applications and systems will continue to be at the core of modern business in 2023, and the issues that end-users face, including slowed performance or downtime, will now have real consequences felt across the entire organization, especially as businesses ramp up digital transformation into Web3. To ensure Web3 transformation goes confidently, it's critical to have the right tooling for efficient and effective development, which in turn lowers spend and speeds up delivery times. Performance and load testing tools are designed to provide testers and developers with the ability to simplify and scale performance engineering across the organization, streamlining the transformation process.
Grigori Melnik
EVP & Chief Strategy Officer, Tricentis

CONVERGENCE OF TESTING AND APM

2023 will see the beginnings of a convergence of testing and APM. We're starting to see consolidation in both the market and in the personas we're all chasing. Testing companies are offering monitoring, and monitoring companies are offering testing. This is a natural outcome of the industry's desire to move toward true observability: deep understanding of real-world user behavior, synthetic user testing, passively watching for signals and doing real-time root cause analysis–all in service of perfecting the customer experience. The widespread and rapid adoption of OpenTelemetry and OpenTracing (and their implementation into many testing tools) is indicative of what's coming.
Ryan Vesely
VP of Global Solution Engineering, Sauce Labs

Go to: 2023 Application Performance Management Predictions - Part 8, the final installment, covering NetOps and Network Performance Management.

Related Links

Hot Topics

The Latest

AI Is Hitting Operational Limits

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

Alert Fatigue Is No Longer a Morale Problem, It's a Reliability Risk and a System Failure

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

Most Enterprises Think They Can Switch AI Vendors in a Month ... Most Who've Tried Couldn't

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Your Observability Stack Has a Telemetry Pipeline Problem

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

Operator to Orchestrator: 80% of IT Pros See Shift in Role as AI Permeates Workflows

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

Gartner: 40% of Organizations Deploying AI Will Use AI Observability to Monitor Model Performance by 2028

40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Almost Half of AI-Generated Code Fails in Production

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

AI Requires Design, Not Edicts

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

How Intelligent Orchestration Enables Enterprises to Move from AI POC to AI Production

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Reliability Is the New Bottleneck of Innovation

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

2023 Application Performance Management Predictions - Part 7

Industry experts offer thoughtful, insightful, and often controversial predictions on how APM, AIOps, Observability, OpenTelemetry and related technologies will evolve and impact business in 2023. Part 7 covers the user experience.

Start with: 2023 Application Performance Management Predictions - Part 1

Start with: 2023 Application Performance Management Predictions - Part 2

Start with: 2023 Application Performance Management Predictions - Part 3

Start with: 2023 Application Performance Management Predictions - Part 4

Start with: 2023 Application Performance Management Predictions - Part 5

Start with: 2023 Application Performance Management Predictions - Part 6

DIGITAL EXPERIENCE MANAGEMENT MOVES UP THE PRIORITY LIST IN 2023

Digital experience management (DEM) has become extremely important over the past year, as it has a direct impact on employee attraction and retention. The new world of widely distributed workforces and hybrid work has placed a greater burden on IT teams to make sure employees remain productive and satisfied in their work. We predict that DEM will continue to move up the priority list and garner more IT budget in the coming years as HR departments will be looking to the CIO and the IT organization to remain competitive in terms of offering a productive, satisfying end-user experience.
Dan O'Farrell
VP of Product Marketing, IGEL

THE DIGITAL EXPERIENCE-CENTRIC ORGANIZATION

Companies will become increasingly digital and experience-focused to thrive. The pandemic showed every company that its ability to survive was closely attached to the use of digital touchpoints to connect and service customers. Companies had to double-down on digital tools, improve their skills for managing digital experiences, and change operational processes and business models to adopt this digital-first approach. The pandemic-induced digital acceleration has only increased the pressure on every company to become a digital, experience-centric organization.
Will Payman
Senior Director, Strategy Customer Experience, Synoptek

CONVERGENCE OF DIGITAL EXPERIENCE MANAGEMENT WITH HELPDESK

2023 will be the year of convergence — where the markets are colliding. Currently, ITSM and ITOM product line of business convergence is being witnessed. In the coming year, digital experience management blended with helpdesk functions like remote assistance will converge with service management.
Sree Subramaniam
Sr Dir, Inbound Product Mgmt, ITOM, ServiceNow

NEED FOR DIGITAL ACCESSIBILITY

As many as 19 million Americans are excluded when digital experiences are not designed with disabled people in mind. 62% of those who use assistive technologies — like screen readers, tactile keyboards and more — say they frequently experience errors on a given day and 44% of those who use this tech experience errors that keep them from accomplishing a task on a daily basis. Many organizations haven't focused on ensuring their tech is available and accessible to everyone, making them behind on their digital accessibility journey. In 2023, we expect companies who are not prioritizing digital accessibility to lose users extensively in favor of companies who are ensuring their websites, applications, digital documents and more are readily available for all their users — including those with disabilities — and putting steam into testing for digital accessibility. For those organizations who haven't given the care and attention needed in this area, we're expecting to see them launching new efforts to incorporate digital accessibility into their brands.
Marcus Merrell
VP of Technology Strategy, Sauce Labs

END-USER TOLERANCE FOR ERRORS CONTINUES TO DECLINE

User experience affects our everyday lives — and brands' bottom lines. ccording to a recent data study, nearly a quarter of consumers (23%) say they encounter an error or experience issue that keeps them from accomplishing a task online at least once a day, which is highly detrimental to brand trust and customer loyalty. With early 1 in 5 (18%) users saying they won't wait any length of time for an error to be fixed, they'll simply go somewhere else, and as tech becomes evermore pervasive, we expect end user tolerance for errors to continue to decline—making this a top priority for IT leaders.
Marcus Merrell
VP of Technology Strategy, Sauce Labs

CONNECTING THE DOTS BETWEEN CRASH AND ERROR REPORTING

How users interact with our applications and their experience with them has always been a factor in development. However, over time, the emphasis placed on user experience over other factors has ebbed and flowed. That will change as users will continue to expect smoother and faster experiences with applications and will have less tolerance when their apps fail to comply. This means organizations will need greater visibility into not just crashes and the errors associated with them, but the performance issues that are as good as a crash, like slow screen loads and frozen apps. I predict we will begin to see more emphasis on teams trying to connect the dots between crash and error reporting and performance issues to get the full picture of the user experience with their application, and a true(r) readout of their apps' performance.
Michael Olechna
Product Marketing Manager, SmartBear

WEB3 MAKES USER EXPERIENCE EVEN MORE CRITICAL

Applications and systems will continue to be at the core of modern business in 2023, and the issues that end-users face, including slowed performance or downtime, will now have real consequences felt across the entire organization, especially as businesses ramp up digital transformation into Web3. To ensure Web3 transformation goes confidently, it's critical to have the right tooling for efficient and effective development, which in turn lowers spend and speeds up delivery times. Performance and load testing tools are designed to provide testers and developers with the ability to simplify and scale performance engineering across the organization, streamlining the transformation process.
Grigori Melnik
EVP & Chief Strategy Officer, Tricentis

CONVERGENCE OF TESTING AND APM

2023 will see the beginnings of a convergence of testing and APM. We're starting to see consolidation in both the market and in the personas we're all chasing. Testing companies are offering monitoring, and monitoring companies are offering testing. This is a natural outcome of the industry's desire to move toward true observability: deep understanding of real-world user behavior, synthetic user testing, passively watching for signals and doing real-time root cause analysis–all in service of perfecting the customer experience. The widespread and rapid adoption of OpenTelemetry and OpenTracing (and their implementation into many testing tools) is indicative of what's coming.
Ryan Vesely
VP of Global Solution Engineering, Sauce Labs

Go to: 2023 Application Performance Management Predictions - Part 8, the final installment, covering NetOps and Network Performance Management.

Related Links

Hot Topics

The Latest

AI Is Hitting Operational Limits

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

Alert Fatigue Is No Longer a Morale Problem, It's a Reliability Risk and a System Failure

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

Most Enterprises Think They Can Switch AI Vendors in a Month ... Most Who've Tried Couldn't

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Your Observability Stack Has a Telemetry Pipeline Problem

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

Operator to Orchestrator: 80% of IT Pros See Shift in Role as AI Permeates Workflows

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

Gartner: 40% of Organizations Deploying AI Will Use AI Observability to Monitor Model Performance by 2028

40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Almost Half of AI-Generated Code Fails in Production

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

AI Requires Design, Not Edicts

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

How Intelligent Orchestration Enables Enterprises to Move from AI POC to AI Production

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Reliability Is the New Bottleneck of Innovation

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...