Change Management Part 2: Metrics, Best Practices and Pitfalls
August 25, 2015

Dennis Drogseth
EMA

Share this

This is Part 2 of a three-part series on change management. In Part 1, I addressed the question, “What is change management?” and examined change management from the perspectives of both process and use case. In this blog, I’ll look at what it takes to make change management initiatives succeed — including metrics and requirements, best practice concerns, and some of the more common pitfalls. Much of the content is derived from past EMA consulting experience as reflected our book, CMDB Systems: Making Change Work in the Age of Cloud and Agile.

Start with Change Management Part 1

Metrics and Requirements

Whether you’re targeting lifecycle endpoint management, data center consolidation, or the move to cloud, it’s important to have some way to measure your progress. These measurements might address operational efficiencies, impacts on the infrastructure and its supported applications, and even impacts on your service consumers and business outcomes. Some of the high-level metrics EMA analysts recommend include:

■ Reduction in number of change collisions

■ Reduction in number of failed changes and re-dos

■ Reduced cycle time to review, approve, and implement changes

■ Improved time efficiency to validate that changes made are non–service disruptive

■ Number of changes that do not deliver expected results

In one consulting engagement in particular, we also saw the following:

■ Degree of conformance to current software licensing agreements

■ Exceptions detected during configuration audits (e.g., when actual state is not as authorized)

■ Cost savings for acquisition and retirement of assets

■ Faster ability to provide services

Of course, these are just a few examples, and these metrics are primarily beginning points. In other words, they are not fully fleshed-out requirements you can use to create the very specific, and hence more measurable, objectives that you will need to go forward.

Going from high-level metrics, such as those above, to more detailed requirements typically means understanding ownership, process, and impact specifics. One example cited in our book involved documented costs in terms of phone time spent in the service desk trying to find the right individual in operations to handle incident-related issues, or what they called “mean time to find someone (MTTFS).” In this case, a CMDB-related initiative saved them nearly $100,000 per year, just in terms of personnel costs of time spent on the phone. The same MTTFS metric might apply to requests involving changes, such as those made in response to service requests or onboarding new end users—where a mixture of IT and non-IT stakeholders for approval and review is often required. Knowing who owns a specific problem for a specific configuration item (CI) is worth its weight in gold.

Some Common Change Management Issues

Developing an appropriate set of metrics and requirements typically involves dialog with relevant stakeholders and executives. While it might be nice to simply legislate your change management initiative with a few emails, EMA consulting experience consistently underscores the need for two-way dialog in which stakeholders are both informed and listened to. These dialogs or interviews not only help to pave the way for new and better ways of managing change, they will usually shed light on other issues that, once documented, can help your IT organization move forward in any number of (sometimes surprising) ways.

Scope Creep: While you want enthusiasm for going forward, and in fact you’ll probably want to target your more enthusiastic stakeholders, many change management initiatives can get bogged down by trying to do too much at once. Two of my favorite quotes from our consulting reports along these lines are:

“The biggest issue now is scope creep. Trying to make everyone happy at this point is like trying to rebuild the Titanic from the bottom up.”

Another change management initiative was more prescriptive: “We’re managing scope creep by being incremental in how we’re driving our deployment—going forward with small steps on a regular schedule.”

Toolset Ownership: Managing changes well requires attention to technologies, both those already in use and new technology investments, as I’ll discuss in my next blog. But making the right technology choices can often become a political as well as a technology challenge. EMA consulting has seen literally hundreds of tools addressing monitoring, inventory, configuration, and change management in larger enterprises, each affiliated with its own determined set of owners. This can create problems when you’re trying to promote more cross-domain capabilities for discovery, automation, and configuration updates. So once again, dialog, leadership, and attention to consistent processes are key. Two quotes from EMA consulting serve to underscore this point:

“We are territorial and don’t want to replace our tools.”

“We have issues with toolset ownership. There is no confidence that others will do the work. So, you do it yourself.”

Issues Surrounding Standards and Best Practices: Whether you’re seeking to leverage processes defined in the IT Infrastructure Library (ITIL) or other formalized best practices or you’re simply documenting your own, trying to establish good change management processes across a heterogeneous and often siloed set of stakeholders may well be your biggest single challenge. Even when good technology is in place, trying to get the necessary mix of players to use it well and consistently is not often easy, especially without some level of executive sponsorship. Here are a few additional quotes from EMA consulting reports to provide you with some process-related examples:

“There are over 5000 change requests per year, and all of them are marked ‘high priority.’”

“Change control needs to hold people accountable if it is to be effective. No one questions why.”

“I believe in standards, as long as they’re mine.”

And finally, something positive: “We had an opportunity to reinvent change management in our organization and go from a project management approach that was very ambivalent when it came to execution to a much more enforceable approach that supported clear ownership and led to increased levels of automation.”

Read Change Management Part 3

Dennis Drogseth is VP at Enterprise Management Associates (EMA).

Dennis Drogseth is VP at Enterprise Management Associates (EMA)
Share this

The Latest

November 21, 2024

Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...

November 20, 2024

New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...

November 19, 2024

Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...

November 18, 2024

SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...

November 14, 2024

Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...

November 13, 2024

AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...

November 12, 2024

If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...

November 08, 2024

In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...

November 07, 2024

On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...

November 06, 2024

Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...