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3 Steps for IT Teams to Turn Their Attention Towards Driving Revenue

James Field
LogicMonitor

As IT practitioners, we often find ourselves fighting fires rather than proactively getting ahead. Almost three-quarters (74%) of IT managers spend more than a full business day each week reacting to incidents, making it extremely difficult to work on what leaders want their teams do — like providing business value and looking for ways to improve customer experience. Many spend countless hours managing several tools that give them different, fractured views of their own work — which isn't an effective use of time.

Balancing daily technical tasks with long-term company goals requires a three-step approach. I'll share these steps and tips for others to do the same.

1. Identify what your impact on the bottom line should be

Depending on your role, your day-to-day output will look different, and your impact on the organization's greater goals should vary accordingly. While it may not be immediately obvious how each team's impact is perceived, it's crucial to recognize that developers and IT teams play a critical role in business success.

Starting simply: focus on the quality of your work. Is it error-free? Saving others time? Requiring input from other teams to be final? Check all these boxes consistently before shooting for the moon.

This big-picture thinking is often the more enjoyable and impactful work, like innovating for the business — that you can already do today. Keep current with releases and make sure you're on top of the best practices for your industry and role. You'll be surprised by the value you can provide and the heights you can reach using the tools already at your fingertips.

Or, it could be helping others do the same — I refer to this as resilience. Be the one to document and explain processes you've set up and succeeded with so others can follow your lead or help enhance your processes.

2. Don't overthink it!

There are many schools of thought when it comes to prioritization in the workplace, but I believe in the old adage KISS — "Keep it simple, stupid!" You could spend the better years of your career tinkering with the best tools available, over-indexing on the minute ways you can maximize productivity, or … you can just do it.

I begin by blocking off time on my calendar (see, simple!) to devote myself to thinking about how I'm "moving the needle." Then, I hone in on a problem that has been plaguing me, my team or our customers lately, and think about how to solve it. For example, it could be increasing the uptime or availability of a critical piece of infrastructure. Ask yourself:

What improvements could I make?

What is currently the best practice for solving this problem?

How could I simplify, automate or anticipate to make this better and even more resilient?

3. Work smarter, not harder

Keeping it simple, in my world, still involves taking advantage of the tools that can make our lives easier. If your role involves regular and repetitive tasks, scripting is your new best friend. Batch and script what you can to cut down the time you spend on tasks that AI can easily pick up (with your oversight, always). And for those tedious administrative tasks, lean on an AI co-pilot so you can focus on the work you want to be doing.

Another way to work smarter, not harder is to provide product feedback directly to its developer and product team. If I'm struggling with something, or sinking a lot of time into making something work, others likely are too. Speaking from my own experience, product teams truly value feedback straight from users, and you're likely to influence the development of tools in a direction that benefits you and your work. Win-win.

At the end of the day, it's important to start by viewing your work as essential to the business, then prioritizing tasks and dedicating time accordingly. When done effectively, your managers, teams and maybe even customers will notice.

James Field is Sr. Director of Product Strategy and Operations at LogicMonitor

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3 Steps for IT Teams to Turn Their Attention Towards Driving Revenue

James Field
LogicMonitor

As IT practitioners, we often find ourselves fighting fires rather than proactively getting ahead. Almost three-quarters (74%) of IT managers spend more than a full business day each week reacting to incidents, making it extremely difficult to work on what leaders want their teams do — like providing business value and looking for ways to improve customer experience. Many spend countless hours managing several tools that give them different, fractured views of their own work — which isn't an effective use of time.

Balancing daily technical tasks with long-term company goals requires a three-step approach. I'll share these steps and tips for others to do the same.

1. Identify what your impact on the bottom line should be

Depending on your role, your day-to-day output will look different, and your impact on the organization's greater goals should vary accordingly. While it may not be immediately obvious how each team's impact is perceived, it's crucial to recognize that developers and IT teams play a critical role in business success.

Starting simply: focus on the quality of your work. Is it error-free? Saving others time? Requiring input from other teams to be final? Check all these boxes consistently before shooting for the moon.

This big-picture thinking is often the more enjoyable and impactful work, like innovating for the business — that you can already do today. Keep current with releases and make sure you're on top of the best practices for your industry and role. You'll be surprised by the value you can provide and the heights you can reach using the tools already at your fingertips.

Or, it could be helping others do the same — I refer to this as resilience. Be the one to document and explain processes you've set up and succeeded with so others can follow your lead or help enhance your processes.

2. Don't overthink it!

There are many schools of thought when it comes to prioritization in the workplace, but I believe in the old adage KISS — "Keep it simple, stupid!" You could spend the better years of your career tinkering with the best tools available, over-indexing on the minute ways you can maximize productivity, or … you can just do it.

I begin by blocking off time on my calendar (see, simple!) to devote myself to thinking about how I'm "moving the needle." Then, I hone in on a problem that has been plaguing me, my team or our customers lately, and think about how to solve it. For example, it could be increasing the uptime or availability of a critical piece of infrastructure. Ask yourself:

What improvements could I make?

What is currently the best practice for solving this problem?

How could I simplify, automate or anticipate to make this better and even more resilient?

3. Work smarter, not harder

Keeping it simple, in my world, still involves taking advantage of the tools that can make our lives easier. If your role involves regular and repetitive tasks, scripting is your new best friend. Batch and script what you can to cut down the time you spend on tasks that AI can easily pick up (with your oversight, always). And for those tedious administrative tasks, lean on an AI co-pilot so you can focus on the work you want to be doing.

Another way to work smarter, not harder is to provide product feedback directly to its developer and product team. If I'm struggling with something, or sinking a lot of time into making something work, others likely are too. Speaking from my own experience, product teams truly value feedback straight from users, and you're likely to influence the development of tools in a direction that benefits you and your work. Win-win.

At the end of the day, it's important to start by viewing your work as essential to the business, then prioritizing tasks and dedicating time accordingly. When done effectively, your managers, teams and maybe even customers will notice.

James Field is Sr. Director of Product Strategy and Operations at LogicMonitor

The Latest

While 87% of manufacturing leaders and technical specialists report that ROI from their AIOps initiatives has met or exceeded expectations, only 37% say they are fully prepared to operationalize AI at scale, according to The Future of IT Operations in the AI Era, a report from Riverbed ...

Many organizations rely on cloud-first architectures to aggregate, analyze, and act on their operational data ... However, not all environments are conducive to cloud-first architectures ... There are limitations to cloud-first architectures that render them ineffective in mission-critical situations where responsiveness, cost control, and data sovereignty are non-negotiable; these limitations include ...

For years, cybersecurity was built around a simple assumption: protect the physical network and trust everything inside it. That model made sense when employees worked in offices, applications lived in data centers, and devices rarely left the building. Today's reality is fluid: people work from everywhere, applications run across multiple clouds, and AI-driven agents are beginning to act on behalf of users. But while the old perimeter dissolved, a new one quietly emerged ...

For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...

Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...

Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...

Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...

Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...

AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

More data center leaders are reducing their reliance on utility grids by investing in onsite power for rapidly scaling data centers, according to the Data Center Power Report from Bloom Energy ...