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4 Tips to Increase Velocity in Your ITIL-Based Change Process

For those of us who handle IT change requests on a daily basis, the process can seem as onerous as a Sisyphean task. In this case, rather than a boulder rolling back down the hill, it is the backlog of RFCs that seem to grow every time you complete a request. Let’s face it - the requests are not going to stop coming. The business is trying to change faster, so they need IT to implement change faster. In the end, it is all about doing as much as you can with what you have. Following ITIL best practices and using a solid change management tool goes a long way, but how can the whole task be made less Sisyphean?

The answer may come from borrowing some of the lessons learned from application development. It turns out that many of the same agile practices adopted by programmers over the last decade can greatly improve the continuity, speed and predictability of your organization's IT Change Management – leveraging, not replacing, your existing ITIL best practices and tools.

When you view the never-ending flow of RFCs as roughly equivalent to the flow of feature requests that an application development team receives, and recognize that the goals are the same - to implement the changes as quickly as possible, as close to the user’s expectations as possible, and in a predictable amount of time - then it becomes clear there is much overlap between processing change requests and turning around new features in a software application.

Of course, some of those change requests are for application development, and those clearly lend themselves to agile practices. But as it turns out, agile methodology can help IT manage all types of requests.

It is possible to apply agile practices to the flow of IT change requests and see these same benefits. Here are some specific ideas on how to implement agile methodology without abandoning ITIL best practices or your current change management tool:

1. Use CAB Meetings to Prioritize Backlog

Take an agile methodology mindset to CAB. Instead of holding weekly or monthly CABs, have daily scrums to prioritize change requests. Place the less urgent and non-routine requests on a backlog. Let the responsible teams decide how much of the backlog they can achieve in a short period of time, say two weeks.

In your Change Management tool, create views that clearly indicate which requests are on the backlog, and which are in process.

2. User Stories with Story Points help Document RFCs

Scrutinize the change requests to ensure they are properly broken down, the same way agile software developers break down feature requests into User Stories with Story Points assigned and weighted.

Leveraging the customizability of your change management tool, re-label the Description field as User Story and add a field to contain the Story Points. For most IT organizations, the change requests are relatively short lived and independent of each other. But if your organization has enough large, complex requests that are related to a given system or project, following the agile technique of grouping them into a sprint may make sense. You may even consider forming two teams, one team that manages the shorter lived requests as a constant stream, perhaps using a Kanban approach; while the larger requests flow into a team using a scrum approach.

3. Change Manager becomes Scrum Master

The Change Manager acts as the Scrum Manager, overseeing quick daily standup meetings to talk about progress on the tickets in process. The Scrum Master’s mantra: plan a little, do a little, test a little - create a tight feedback loop.

In a larger organization, where the Change Manager cannot possibly have the bandwidth to be the Scrum Master for all of the supported services, the technical owner of a business service may need to act as the Scrum Master, with the Change Manager overseeing the various business Scrum Masters.

It is important that someone fills the role as Scrum Master in order to insure that the amount of work in process is always minimal (agile methodology is all about finishing what you start and delivering each item before you bite off another). As such, it is critical for the Scrum Master to monitor the batch of changes in progress on a day-to-day basis and be available to help clear roadblocks for those implementing the changes.

4. Continuous Improvement to Optimize Agility

By assigning a size in the form of Story Points and by minimizing the amount of work in progress at a given time, you can judge the velocity of successful changes and provide more transparency into what the bottlenecks are.

As requests are completed, the Story Points assigned to the requests represent a quantity of work completed. The average rate of delivering Story Points over time is the velocity. By charting changes in velocity over time, you can better manage your team’s bandwidth and better predict the time required to work down the backlog of requests.

Increasing the velocity becomes the challenge. Agile prescribes various approaches to eliminate the bottlenecks preventing a faster velocity. The best approach for a handling a continuous stream of requests, where they are not batched into sprints, is likely a cumulative flow diagram. However, if you are batching your requests into sprints, then a scrum approach using a burn down chart may work better.

Either of these approaches can be diagrammed in Excel by exporting the data you collect in your change management tool.

In summary, the best way to attack that seemingly always growing backlog of RFCs requires an ability to expose the bottlenecks that are impacting your ability to increase the speed and predictability by which the requests can be implemented. One way, is to borrow agile software development techniques and overlay them on your existing ITIL processes and tools.

ABOUT Russ Miller

Russ Miller is the CTO of SunView Software, Inc., an ITSM tools vendor he co-founded. He has more than 20 years of experience leading software product development from concept to delivery for companies like IBM, Compuware, Quark, and Intuit. He was an early advocate and adopter of agile software practices and has been immersed in ITIL over the last decade as part of developing the ChangGear ITSM solution.

Related Links:

www.sunviewsoftware.com

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4 Tips to Increase Velocity in Your ITIL-Based Change Process

For those of us who handle IT change requests on a daily basis, the process can seem as onerous as a Sisyphean task. In this case, rather than a boulder rolling back down the hill, it is the backlog of RFCs that seem to grow every time you complete a request. Let’s face it - the requests are not going to stop coming. The business is trying to change faster, so they need IT to implement change faster. In the end, it is all about doing as much as you can with what you have. Following ITIL best practices and using a solid change management tool goes a long way, but how can the whole task be made less Sisyphean?

The answer may come from borrowing some of the lessons learned from application development. It turns out that many of the same agile practices adopted by programmers over the last decade can greatly improve the continuity, speed and predictability of your organization's IT Change Management – leveraging, not replacing, your existing ITIL best practices and tools.

When you view the never-ending flow of RFCs as roughly equivalent to the flow of feature requests that an application development team receives, and recognize that the goals are the same - to implement the changes as quickly as possible, as close to the user’s expectations as possible, and in a predictable amount of time - then it becomes clear there is much overlap between processing change requests and turning around new features in a software application.

Of course, some of those change requests are for application development, and those clearly lend themselves to agile practices. But as it turns out, agile methodology can help IT manage all types of requests.

It is possible to apply agile practices to the flow of IT change requests and see these same benefits. Here are some specific ideas on how to implement agile methodology without abandoning ITIL best practices or your current change management tool:

1. Use CAB Meetings to Prioritize Backlog

Take an agile methodology mindset to CAB. Instead of holding weekly or monthly CABs, have daily scrums to prioritize change requests. Place the less urgent and non-routine requests on a backlog. Let the responsible teams decide how much of the backlog they can achieve in a short period of time, say two weeks.

In your Change Management tool, create views that clearly indicate which requests are on the backlog, and which are in process.

2. User Stories with Story Points help Document RFCs

Scrutinize the change requests to ensure they are properly broken down, the same way agile software developers break down feature requests into User Stories with Story Points assigned and weighted.

Leveraging the customizability of your change management tool, re-label the Description field as User Story and add a field to contain the Story Points. For most IT organizations, the change requests are relatively short lived and independent of each other. But if your organization has enough large, complex requests that are related to a given system or project, following the agile technique of grouping them into a sprint may make sense. You may even consider forming two teams, one team that manages the shorter lived requests as a constant stream, perhaps using a Kanban approach; while the larger requests flow into a team using a scrum approach.

3. Change Manager becomes Scrum Master

The Change Manager acts as the Scrum Manager, overseeing quick daily standup meetings to talk about progress on the tickets in process. The Scrum Master’s mantra: plan a little, do a little, test a little - create a tight feedback loop.

In a larger organization, where the Change Manager cannot possibly have the bandwidth to be the Scrum Master for all of the supported services, the technical owner of a business service may need to act as the Scrum Master, with the Change Manager overseeing the various business Scrum Masters.

It is important that someone fills the role as Scrum Master in order to insure that the amount of work in process is always minimal (agile methodology is all about finishing what you start and delivering each item before you bite off another). As such, it is critical for the Scrum Master to monitor the batch of changes in progress on a day-to-day basis and be available to help clear roadblocks for those implementing the changes.

4. Continuous Improvement to Optimize Agility

By assigning a size in the form of Story Points and by minimizing the amount of work in progress at a given time, you can judge the velocity of successful changes and provide more transparency into what the bottlenecks are.

As requests are completed, the Story Points assigned to the requests represent a quantity of work completed. The average rate of delivering Story Points over time is the velocity. By charting changes in velocity over time, you can better manage your team’s bandwidth and better predict the time required to work down the backlog of requests.

Increasing the velocity becomes the challenge. Agile prescribes various approaches to eliminate the bottlenecks preventing a faster velocity. The best approach for a handling a continuous stream of requests, where they are not batched into sprints, is likely a cumulative flow diagram. However, if you are batching your requests into sprints, then a scrum approach using a burn down chart may work better.

Either of these approaches can be diagrammed in Excel by exporting the data you collect in your change management tool.

In summary, the best way to attack that seemingly always growing backlog of RFCs requires an ability to expose the bottlenecks that are impacting your ability to increase the speed and predictability by which the requests can be implemented. One way, is to borrow agile software development techniques and overlay them on your existing ITIL processes and tools.

ABOUT Russ Miller

Russ Miller is the CTO of SunView Software, Inc., an ITSM tools vendor he co-founded. He has more than 20 years of experience leading software product development from concept to delivery for companies like IBM, Compuware, Quark, and Intuit. He was an early advocate and adopter of agile software practices and has been immersed in ITIL over the last decade as part of developing the ChangGear ITSM solution.

Related Links:

www.sunviewsoftware.com

Hot Topics

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.