Tag Archives: Service Management

AI, ITSM

Three AI truths with IT Service Management

August 5, 2024 Doug Tedder Leave a comment

There’s no question that introducing AI capabilities can have a dramatic impact on IT Service Management (ITSM). Done well, AI adoption will free up ITSM professionals to do the work for which humans are uniquely qualified, like critical thinking, contextual understanding, and creative problem-solving. Furthermore, AI will enable organizations to realize many of the theoretical benefits of ITSM. For example, the use of AI and machine learning can leverage comprehensive in-depth data, not just a small recent sampling, for cause analysis, problem detection, and impact determination of problems. Another example is the use of AI can increase the data of the IT environment and automate the remediation of incidents.

But AI is not a “magic wand” for ITSM.

Before introducing AI capabilities into ITSM, organizations must first consider these three AI truths.

Truth #1 – AI needs good data

For the use of AI to be effective, it needs data. Lots of data. But, if that data is inaccurate, lacks integrity, or is not trustworthy, then the use of AI will only produce inaccurate or poor results.

Data quality is an issue that many organizations will have to tackle before realizing the complete benefits of introducing AI to their ITSM implementations. These means that organizations will have to step up their technology and data governance posture. According to this recent Privacera article, a fundamental principle of data governance is having a high-quality, trusted data source. Having trusted data sources enables capabilities like ITSM to make accurate and reliable decisions regarding service management issues. But if the data sources used by ITSM tools contain data that is unregulated, the ability to automate responses is significantly hindered.

Truth #2 – AI doesn’t mean process design goes away

The need for effective ITSM processes and procedures doesn’t go away with AI adoption. Machine learning can be used to detect data patterns to understand what was done to resolve an issue. But what machine learning doesn’t do is determine if what is being done is the best approach. Machine learning doesn’t consider organizational goals and objectives with the adoption of ITSM. Machine learning cannot determine what processes are missing or need improvement to gain needed effectiveness and efficiency with ITSM.

Truth #3 – AI doesn’t replace knowledge

“Reducing cost”, often in the form of headcount reductions, is frequently used as the justification for AI investment, as the use of AI will enable ITSM activities to be automated. And it’s true – many of the ITSM activities currently performed by humans can and should be replaced with AI-enabled capabilities, such as the automated fulfilment of service requests, automated response to incidents, and problem data analysis. But one of the hidden costs of using AI to justify headcount reductions is the form of knowledge loss – the knowledge inside people’s heads walks out the door when their positions are eliminated. And this is the knowledge that is critical for training the chatbots, developing the LLMs needed, and to the continual improvement of AI and ITSM.

While AI can provide the “how” for “what” needs to be done, it cannot answer the “why” it needs to be done.

Good Governance facilitates AI-enabled ITSM

Without governance, AI can do some serious damage, not just with ITSM, but to the organization. As the role of IT organizations shifts from being data owners (often by default) to being data custodians, having well defined and enforced policies regarding data governance is critical. This means that the frequently found approach to governance consisting of an IT track and a corporate track is becoming untenable. As organizational processes and workflows become increasingly automated, enabled by AI capabilities, governance must become cross-functional[i] , with sales, marketing, HR, IT, and other organizational functions all involved. Organizations must consider and address data-related issues such as compliance with data privacy laws, ethical data use, data security, data management, and more.

An effective approach to governance enables organizations to define their digital strategy[ii] to maximize the business benefits of data assets and technology-focused initiatives. A digital strategy produces a blueprint for building the next version of the business, creating a bigger, broader picture of available options and down-line benefits.[iii] Creating a successful digital strategy requires an organization to carefully evaluate its systems and processes, including ITSM processes. And as ITSM processes are re-imagined for use across the enterprise in support of organizational value streams, effective governance becomes essential.

Getting ready for AI-enabled ITSM

What are some of the first steps organizations should take to get ready for AI-enabled ITSM?

Formalize continual improvement. One of the most important practices of an effective ITSM implementation is continual improvement. As organizations are continually evolving and changing, continual improvement ensures that ITSM practices evolve right alongside those business changes. And just like service management, AI adoption is not an “implement and forget”; in fact, AI will absolutely fail without formal continual improvement.
Answer the “why”. To say that there is so much hype around the use of AI within ITSM would be an understatement. Before jumping into AI, first develop and gain approval of the business case for using AI within ITSM. How will success be determined and measured? What opportunities for innovation will emerge by relieving people from performing those tedious and monotonous tasks associated with the current ITSM environment? What returns will the organization realize from the use of AI within ITSM? What new business or IT opportunities may be available because of the use of AI within ITSM? A good business case establishes good expectations for the organization regarding AI and ITSM.
Begin thinking about how AI can be leveraged by ITSM process designs. As discussed in this recent HBR.org article, AI will bring new capabilities to business (and ITSM) processes. With these new capabilities, organizations will need to rethink what tasks are needed, who will do those tasks, and the frequency that those tasks will be performed. The use of AI will enable organizations to rethink their ITSM processes from an end-to-end perspective, considering what tasks should be performed by people and what tasks should be performed by machines.

The concept of augmenting ITSM with AI is a “no-brainer”. However, success with AI in an ITSM environment requires a lot of up-front thought, good process design, solid business justification, and considering these three AI truths.

[i] https://2021.ai/ai-governance-impact-on-business-functions

[ii] https://www.techtarget.com/searchcio/definition/digital-strategy

[iii] Ibid.

Human-Centered Design, ITSM

Can Human-centered Design rescue your ITSM investment?

June 7, 2024 Doug Tedder Leave a comment

Is your organization struggling to realize a return on investment with ITSM?

If you answered “yes”, you’re not alone. Many organizations are not getting the expected return on investment that was expected by adoption ITSM practices. Organizations are facing several challenges to realizing a ROI with ITSM.

“IT Operations only” approach. Many ITSM implementations have only focused on ITOM (IT Operations Management) aspects, such as managing user support requests, resolving incidents, or implementing changes. Services are not defined in terms of business outcomes or business value, making it difficult to determine the holistic benefit of ITSM practices.
Poorly defined workflows. This survey revealed that 43% of organizations cited excessive manual processing or insufficient automation as their top ITSM challenge. This points toward having poorly defined or undefined workflows that are obstacles for automation and AI-enabled capabilities.
Ineffective ITSM practices. According to this survey , 56% of businesses reported a significant impact on revenue due to technology downtime. Does this indicate ineffective incident management, problem management, change management, and continual improvement practices?
Total cost of ownership associated with ITSM tools. The cost of implementing ITSM doesn’t stop with the implementation of the tool. Ongoing maintenance costs, both in terms of licensing, support, and daily management of the platform contribute to the cost of ownership. Post-implementation costs, such as user training, organizational change management, and ongoing process improvements also add to the cost of ownership. Many IT organizations also struggle with what they see as conflicting demand between business priorities and operational activities.
Lack of specific ITSM success goals and metrics. Many organizations have not defined specific success measures for ITSM adoption. Further compounding the challenge is that organizations have not defined metrics that indicate how ITSM contributes to the organization achieving its mission, vision, and goals.

These are big challenges for many ITSM implementations determining an ROI. But in my opinion, there are two reasons why ITSM isn’t delivering the expected ROI.

ITSM has been and continues to be about IT, not about the business. Most ITSM implementations are focused on how to manage the work of IT, not on delivering business results.
ITSM practices were not designed with business outcomes and value in mind but instead based upon the requirements of the ITSM tool being implemented.

And even if one of the drivers for ITSM implementation was to manage interactions with end users – an operational aspect of IT management – the end user typically had no voice or input into the design of ITSM practices. And the lack of user involvement with ITSM design shows up in the experience with IT. As an example, the 2023 Global IT Experience Benchmark report from Happy Signals indicates that 49% of survey respondents identified “IT Support Services” as a negative factor regarding their experiences with IT.

Haven’t people always been a core focus of ITSM?

In theory, a core focus of ITSM is the people that interact with technology. “Customers” are the people that have defined the requirements and need for a service. It is the customer that determines the value of the service that IT provides. Customers are also users of those IT services. “Users” are people that rely upon and interact with IT services to get their work done. The use of the technology associated with these IT services is intended to improve productivity and efficiency of users in getting this work done.

But in practice, ITSM adoption has been more about how IT manages its work, and less about how the experience or success people have with technology. In fact, users are rarely – if ever – part of process design or technology implementations associated with ITSM.

Think about it. In practice, most incident management practices are built around routing and closing tickets as quickly as possible. Service desks and their agents are evaluated by how quickly an issue is closed (with “closed” usually being an IT judgement, and not confirmed with the end user), and not in terms of the user experience.

In practice, Service Level Agreements (SLAs) do not discuss business performance measures, but describe how IT measures its work. And many SLAs are defined by IT with no input from the end user or customer – yet the end user is expected to act within the terms of the SLA. In practice, “customer” satisfaction surveys are not engaging the customer, but rather the user. Compounding the situation is that the return rates of those satisfaction surveys are anemic, and actions are rarely (in practice) taken based on the information captured in the few surveys that are returned.

So how can organizations get the focus of ITSM back on people?

It’s about PPT plus HCD!

In the early 1960s, Harold Leavitt introduced what eventually became known as the “golden triangle” or “three-legged stool” of People, Process, and Technology (PPT) as guidance for managing change within an organization. The model represents if one component shifts, the other two must also shift to maintain an effective balance as change progresses.[i] The PPT framework is simple but powerful. And while PPT is a mantra often heard as part of ITSM adoptions, the ‘people’ aspect is often ignored, as the focus is typically on the implementation of the technology associated with ITSM.

How can organizations take impactful, people-focused actions based on the PPT framework? This is where human-centered design (HCD) comes in. HCD is a framework for creative problem-solving that focuses on understanding the needs, wants, and limitations of the people who will most directly benefit from the solution.[ii] It’s about designing with empathy for the people that will be interacting with the solution. HCD is composed of three elements: desirability – the product or service meets users’ needs; feasibility – the product or service is technically feasible; and viability – the product or service is viable as a business model.

There are real benefits when organizations shift to an HCD approach.

Technology teams build better, more robust products and services when they have a true understanding of individuals, their needs, and their journeys. [iii]
Leveraging human-centered design principles also helps technology teams deliver faster and at lower costs — mostly because they’re hitting closer to the mark on their first delivery. [iv]
Gartner’s 2021 Hybrid Work Employee Survey, which found that employers with a human-centric philosophy across the business saw reduced workforce fatigue by up to 44%, increased intent to stay by as much as 45%, and improved performance by up to 28%.[v]
A McKinsey study found that over 5 years, companies with strong design practices outperformed their industry counterparts in terms of revenue growth and returns to shareholders. [vi]

It’s a compelling argument for introducing HCD into ITSM practices – and bringing the focus of ITSM back to people.

Shifting the focus of ITSM to people

How can HCD be applied to ITSM? It all starts by asking “what do people really want?” from ITSM. Here are some tips for getting started.

Start where you are. Don’t throw away what has been done with ITSM, but human-centered design begins with a mindset shift. Commit to making ITSM more about the business and less about IT by shifting from a “technology-first” mindset to a “human-first” mindset.
Truly capture and understand the user perspective. Let’s face it – the way that the user perspective is typically captured today (via post interaction surveys sent from the service desk) isn’t that effective. What are better ways for IT organizations to understand the user experience? First, asking better questions (not rating questions) will yield better answers into the true user perspective. Going to where work is being done and observing user interactions with technology is powerful and informative. Hosting regular, periodic small focus group meetings with users provides opportunities for deeper discussions about the user perspective.
Include users in continual improvement actions. Including end users as part of continual improvement actions uncovers underlying needs, improves experience, and helps provides solutions that solve the real issue.

Shifting ITSM practices from a technology-first to a people-first approach will have a major positive impact on users, customers, organizations – and ITSM.

Need help with shifting your ITSM practices from a technology-first mindset to a people-first mindset? It starts with understanding the user’s experience. We can help – contact Tedder Consulting for more information.

[i] forbes.com/sites/forbestechcouncil/2024/04/19/20-expert-tips-for-effective-and-secure-enterprise-ai-adoption, Retrieved April 2024.

[ii] https://www.mural.co/blog/human-centered-design Retrieved April 2024.

[iii] https://www.cio.com/article/413079/cios-find-big-benefits-in-shift-to-human-centered-design Retrieved April 2024

[iv] Ibid.

[v] Ibid.

[vi] https://www.mckinsey.com/capabilities/mckinsey-design/our-insights/the-business-value-of-design, Retrieved April 2024.

AI, ITSM

The 3 Pillars of Success for AI-enabled Service Management

May 6, 2024 Doug Tedder Leave a comment

In her book[i], Dr. Kavita Ganesan suggests that any AI adoption be evaluated using three pillars:

Model success – Is the AI model performing at an acceptable level in development and production? (In other words, the model performs at the required levels of accuracy, execution time, and other factors.)
Business success – Is AI meeting organizational objectives?
User success – Are users satisfied with the AI solution and perceive it to be a valid solution?

Many organizations are rushing to incorporate AI-enabled technologies to improve their service management capabilities. AI technologies, such as AI-assistants, chatbots, intelligent process automation, generative AI, and more, can provide a next-level set of capabilities for service management. But are these organizations’ service management practices positioned to fully take advantage of these new capabilities?

Let’s be clear – AI is not a “magic wand.” AI is a technology. And like any other technology, there are factors that must be addressed if an organization is to realize the benefits that AI can bring to service management.

First, AI needs data – and lots of it. The effectiveness of AI depends on the quantity, quality, relevancy, and timeliness of the data being used by the AI models and algorithms. Any limitations in the data being used by AI will be reflected in the outputs produced by AI – and the use of those outputs by service management processes. The old axiom remains true – garbage in will result in garbage out.

AI cannot be a solution looking for a problem. Just because AI is a “hot topic” now doesn’t mean that it is the solution for every business challenge – especially service management issues. If issues like ineffective workflows, undefined services, poorly defined measures, lack of continual improvement practices, or the absence of high-quality data already exist within the service management environment, the introduction of AI will only exasperate those issues.

Lastly, the use of good organizational change management practices is critical. There is a lot of FUD (Fear, Uncertainty, and Doubt) surrounding the introduction of AI[ii] within organizations. Yes, there will be impacts to how humans work and interact with technology, but for whatever reason, there is a heightened fear associated with AI-adoption within service management.

Applying the 3 pillars for AI success to AI-enabled Service Management

Before rushing into incorporating an AI solution with a service management environment, let’s adapt and apply Ganesan’s three pillars for success with AI-enabled service management.

The first pillar is business success. How do current service management capabilities support business outcomes and enable value realization? How will the introduction of AI capabilities further enhance the realization of the outcomes and value delivered by service management? If the answers to the above questions aren’t clear, revisiting some foundational elements of service management is in order. Consider the following:

Have IT services been defined, agreed, documented, and measured in terms of business value, business outcomes, and the costs and risks associated with the delivery of services? Many IT organizations have defined what they call “services” in terms of
- what goods and products (like laptops and smart devices) are provided
- the service actions (like password resets) a service desk will perform, and
- procedures for gaining access to digital resources (like a cloud-based resource or a shared drive).

Not only does this approach inhibit a mutual understanding of the vital role of technology in business success, but it also commoditizes what IT does. Secondly, this approach fails to establish business-oriented measures regarding results and value.

Are non-IT colleagues named as service owners? Are these non-IT colleagues actively involved in the delivery and support of services? This is a significant issue for many service management implementations. In many organizations, IT personnel, not non-IT colleagues, have taken on the role of service owner – the person that is accountable for a service meeting its objectives and delivering the required business outcomes and value. The service owner is critical to understanding what is needed and importantly, how business outcomes and value are realized and should be measured.
How might AI adoption enable organizations to consider service management practices that would enhance their business? For example, better service portfolio management would enable better utilization of and data-driven investments in services and technology.

The next pillar is employee success. Frequently (and counterintuitively!), service management practices have been designed and implemented with IT and not the IT service consumer in mind. As a result, interacting with the service desk or a self-service portal can be an exercise in frustration due to the over-technical nature of those interactions. Consider:

How might the introduction of AI result in friction-free interactions with services and the fulfillment of service requests? How might AI personalize end-user interactions with service management practices? Consider how AI could shift the burden of interacting with service management practices from the end-user to a personalized and proactive AI-enabled capability.
How might the introduction of the AI model result in friction-free interactions with supporting IT services? If consuming IT services present challenges to end-users, it can also be challenging for those that deliver and support those services. Will AI-capabilities enable service management practices to shift from a reactive to proactive stance by identifying and eliminating causes of incidents before they occur? Will AI-capabilities enable better issue resolution by suggesting potential solutions to IT technicians?
How might the introduction of AI enable employees to make better, data-driven decisions based on relevant, timely, and accurate knowledge? Knowledge management is among the most significant challenges of a service management implementation, as knowledge is ever evolving and continually being created, revised, and applied. AI may provide a solution – this blog explores how Generative AI could provide organizations (not just IT) with the capability of harnessing its collective knowledge.

The final pillar is AI / service management model success. Frankly, many service management challenges can be resolved through continual improvement activities. Some issues may be resolved through the application of effective and efficient automation. Questions to consider include:

How might AI adoption result in better and proactive detection and resolution of issues before those issues impact the organization? How might AI adoption result in improved change implementations through better testing or confirmation of positive business results?
Is there sufficient, good-quality data to enable AI-driven service management actions? If AI models are not supplied with sufficient, good-quality data, the results from the model will be suboptimal at best – or worse, just flat-out wrong.
What is the required level of accuracy for the model? A “100% accurate” model may be too costly to achieve and maintain; a “75% accurate” model may be perceived as a failure.

Get ready for AI-enabled service management

The introduction of AI to a service management environment can be a game-changer on many levels. Here are four steps to get ready:

Make the business case for introducing AI to service management. Think strategically about AI , service management, and how the combination of AI and service management will help the organization achieve its mission, vision, and goals.
Communicate, communicate, communicate. The mention of AI adoption may cause concerns among employees. Start open conversations regarding AI-enhanced service management capabilities, incorporate feedback, and proactively address concerns.
Identify and define success measures. The mere implementation of AI capabilities within service management is not an indicator of success. Define how the benefits articulated in the business case will be captured, measured, and reported.
Begin data governance now. The success of any AI initiative depends on the availability of good quality data. If service management is to leverage AI capabilities, the data being captured must be of good quality. Define and publicize data quality standards for service management practices and ensure compliance through periodic audits.

The introduction of good AI capabilities will not fix bad service management. Applying the three pillars described above will ensure successful introduction of AI capabilities resulting in next-level service management practices for any organization.

Is your service management approach “AI-ready”? An assessment by Tedder Consulting will identify any foundational gaps so your service management environment is “AI-ready”. Contact Tedder Consulting today for more information!

[i] Ganesan, Dr. Kavita. “The Business Case for AI: A Leader’s Guide to AI Strategies, Best Practices & Real-World Applications”. Opinois Analytics Publishing, 2002.

[ii] https://www.forbes.com/sites/jenniferfolsom/2024/03/28/meet-your-newest-co-worker-ai Retrieved April 2024.

Digital Transformation

You Can’t Automate What You Don’t Understand

December 7, 2021 Doug Tedder Leave a comment

The case for automating workflows is a strong one. There are plenty of reasons why organizations are looking for the right automation tools, including but not limited to:

Frees staff from performing tedious, high-volume, low-value tasks
Creates cheaper and faster process execution
Improves customer experience
Makes it easier to scale

I’m not here to argue the case of automation. When done correctly, it can achieve all those benefits above. And many organizations see success when they automate simple, one-step tasks, like password resets.

However, automation can start to feel like a catch-22, especially for those organizations who realize initial success with their simple automated tasks. That’s because they start the automation initiative by looking for the right tools. Many automation conversations in organizations are about the various tool vendors and weighing the features of each tool. And for simple automations, perhaps that’s not a bad way to make decisions.

But if you want to automate multi-step, complex workflows, the tool is the last thing you need to identify. Let’s explore how to make sure you get these multi-step automations correct.

Principles of Good Automation

1. Automation often means orchestration
The term “automation” is often used to describe things that are actually service orchestration. Automation is the act of automating a single task, like password resets. Orchestration refers to automating multi-step processes to create streamlined, end-to-end (and often inter-departmental) workflows. When determining your automation needs, be clear on whether your goal is only to automate or orchestrate.

2.Don’t automate or orchestrate “just because you can”
Every organization has plenty of workflows and tasks from which to choose to automate. But just because you can automate something doesn’t mean that you should, especially in the first stage of your automation initiatives. You want to focus your initial efforts on the tasks that:

- Are performed on a high-frequency basis, are tedious for people to perform, but are well-defined and produce predictable results.
- Consume a disproportionate amount of a team’s time. This may indicate that the process is not well-defined to begin with! In this case, be prepared to first invest time into process design.
- Drive the most ROI for your business. It doesn’t make sense to spend hours and hours defining and automating a task that is only performed on an infrequent basis.

3. Everyone involved must be ready for orchestration for it to work
Creating multi-step, complex workflows almost always involve more than one team or person. You have to have everyone involved in the entire process involved and that requires a level of transparency from everyone in the organization.

Too many organizations begin automation initiatives despite having little insight into the actual steps involved in a workflow—and therein lies the problem. Those organizations are trying to automate work that they don’t understand.

Gaining Transparency is key

The solution for avoiding automation and orchestration missteps is to start by gaining transparency into the work currently being performed – before you start to automate. Here’s how:

Get the whole team involved. Automation and service orchestration has to be a collaborative project, or it will never work. People are often resistant to automation initiatives because they do not understand the objectives of the initiative or were not provided with an opportunity to provide feedback. To help overcome this resistance, illustrate how orchestration and automation will not only improve productivity, quality, and efficiency, but will also improve the employee experience by removing toil from daily work.
Identify needed business outcomes. Business outcomes are king to all else. You’re going to burn precious resources spending so much time automating tasks and orchestrating procedures that don’t result in measurable and valuable business outcomes. Before automating, first evaluate how a particular workflow achieves business outcomes
Understand end-to-end workflows. Does everyone on the team have a shared understanding of each step in a workflow? Is there a clear understanding of how each team contributes to that workflow? Many organizations don’t have this type of insight and it causes massive breakdowns during the execution of a process. Getting insight into the steps involved enables automation. Otherwise, attempts to automate will only result in frustration.

Once you’ve gained transparency into the current work, now you’re ready to evaluate tools. While this may require more time at the outset, doing this foundational work is key to long term success with automation.

Good automation and good service management go together

To be clear, good automation will not fix bad service management. When you try to use automation to address poor service management issues, all that happens is that you screw up faster – and automatically. And your end-users and customers immediately feel the impact of bad service management.

But when good automation is combined with good service management, watch out. Good service management helps you do more with your resources, helps you get everyone on the same page – both from the technology and the business outcomes perspectives, and helps you deliver that differentiated experience. Good service management ensures that you’re taking a holistic approach to delivering IT products and services. And when you start automation efforts by understanding how value is delivered through IT products and services – you’ll automate the things that both make sense and deliver the most value for both the organization and the user.

Tedder’s Takeaway: Why it matters

Tools alone will not make automation work. Automation is only successful when there is a shared and agreed understanding of the resulting business outcomes, combined with having transparency into how work is being done. Augmenting good service management with good automation delivers the differentiated experience for both the organization and the end-user.

Are your automation efforts stuck? Are you not realizing the benefits of service orchestration? Let Tedder Consulting help! From value stream mapping to process design and improvement, Tedder Consulting can enable automation that is both impactful and delivers a great customer experience. To learn more, schedule a free, 30-minute meeting with Tedder Consulting today!

ITSM

What’s The ROI of Service Management?

November 22, 2021 Doug Tedder Leave a comment

IT service management has typically been seen as yet another cost inside of what is perceived to be a cost center known as “IT”. Why? Because many IT organizations still view service management as operating overhead…and nothing else. The potential business value of good ITSM is ignored.

Many IT organizations could start becoming a strategic organizational partner if they understood the ROI of their work. ROI, or Return on Investment, is an important financial metric that most value centers use to measure success. Unfortunately, 90% of all technical support organizations fail to measure ROI.

But, a simple shift in thinking about service management and ROI will create major opportunities for IT.

Why is ROI important to IT?

Why should IT leaders care about ROI? Simply put, ROI is the language of the business. Everyone in the C-Suite understands ROI and how important it is in making business decisions. When IT leaders start discussing ROI with peers, they are taking the “techno-speak” out of the discussion. As a result, ROI makes IT more relatable and understandable to the rest of the business.

Relating IT in terms of ROI within the organization can lead to bigger budgets, better staffing, and improved service relationships. Data shows that top performing IT support organizations produce a ROI of 500% or greater on an annual basis!

Understanding the ROI of Service Management

Measuring the ROI of service management starts with quantifying work. But not in the ways that many typically think, like counting closed tickets or tracking time to resolution. Rather, quantify service management in terms that truly demonstrate business value—measures like savings (or “costs avoided” as an early CFO of mine schooled me about) through better processes, improved productivity, or investments in innovation. These are the kinds of topics business colleagues care about – not IT operational measures.

Here are three examples where you can illustrate a business-relevant ROI of good service management.

ROI Area #1 — Time is Money

According to estimates, the global impact of unplanned downtime is 14.3 billion and employees lose an entire day of productivity due to unplanned downtime.

Many ITSM leaders measure IT productivity in terms of number of incidents resolved and time to incident resolution. This is a flawed approach. An incident is not a “value-add”. While there is (limited) value in resolving an incident, the real business value is not having incidents at all.

So how might good service management practices produce an ROI? Let’s take an example. Company XYZ implemented service management improvements during quarter two. These changes included improving change enablement practices and developing and publishing self-help knowledge articles regarding the most-frequently encountered issues.

Q1	Q2	Q3	Q4
12,792	12,374	10,556	9,843

Because of these changes, XYZ saw over 4,700 fewer tickets in Q3 & Q4 than they had in Q1 & Q2.

Now let’s apply money to the scenario. Let’s say every ticket costs the company $10 in productivity loss (of course, it’s much more than this!). By implementing these improvements, IT helped the organization avoid nearly $50,000 of lost productivity. That’s where the real value and the ROI of service management begins to show itself.

ROI Area #2 — Avoid unnecessary cost with self service

Another ROI-enhancing area for service management is the concept of “shift left.” Shift left means moving support and enablement activities closer to those doing the actual work. For example, moving incident resolution or request fulfillment from a desktop support team to the service desk or from the service desk to Level 0 (self-help), can help an organization avoid unnecessary escalation-related costs. Unnecessary escalations result in support costs that are not directly reflected in performance measures. Because these escalations appear to be just ‘business as usual’, the cost associated with those escalations go unnoticed.

How many tickets are unnecessarily escalated that could have been solved by Level 1 or by self-help? According to TechBeacon, a typical service desk ticket can cost around $22. But escalating a ticket can cost an additional $69, making the total cost of the ticket $91. If you are handling tens of thousands of tickets, these costs add up quickly.

But when self service offerings are provided for those repeatable and predictable support and enablement activities, your organization avoids the costs associated with ticket escalation.

ROI Area #3 — Spend on innovation, not support

This last area is perhaps the most important but often the most forgotten. It’s where poor IT service management practices drain resources from innovation.

To understand how good service management facilitates innovation, let’s start by understanding the basis of IT budgets. Generally speaking, IT budgets have three categories of costs:

Fixed costs, like salaries, support contracts, and other operating expenses. These costs typically do not change dramatically year over year.
Innovation, in the form of new projects and improvement initiatives. These costs represent outcomes that the organization would like to realize through investments in technology.
Maintenance and support, which includes application and software updates, responding to incidents and requests, security monitoring and patching, and other day-to-day activities needed to maintain reliability and availability.

Again, let’s use some easy numbers for illustration. If an IT budget is $1000, then typically fixed costs make up $500. Innovation is budgeted at $300, and maintenance and support is budgeted at $200. The organization is optimistic about realizing new value through innovation. Support costs are acknowledged and seem reasonable.

Until the impact of poor IT service management practices become evident. Poor IT service management practices result in poor change implementations. Lots of fire-fighting. Too many meetings to discuss and decide what should be simple requests. Automation that just doesn’t work well. Confusion regarding how technology enables current organizational outcomes. Duplicative products and services.

And suddenly, the IT organization is spending more time in maintenance and support, and less time innovating. And what part of the IT budget absorbs that additional cost? The budget allocated for Innovation. Innovation is sacrificed to cover the (unnecessarily excessive) cost of simply keeping the lights on.

Good service management preserves that innovation budget, by doing the right things well when it comes to maintenance and support.

What is the simple shift in thinking that enables service management ROI?

How is it possible to realize ROI with service management, rather than looking at it as cost?

The answer is simple.

It starts with a shift in thinking. Rather than viewing service management as a means of control, begin viewing service management as a business enabler.

While the IT operational aspects of service management are important, it is not why organizations need to practice good service management.

Good service management enables organizations to achieve business outcomes. Good service management enables organizations to realize value from its investments in and use of technology. And one of the key ways to enable this shift in thinking is to talk about service management in terms of ROI.

Tedder’s Takeaway – Why It Matters

Shifting how the organization views service management is a critical enabler for discussing the ROI of service management. Moving the conversation from cost to results, then attaching ROI to those results. Having the ability to discuss ROI with organizational peers not only makes IT more relatable, it also repositions IT as a strategic enabler, with a tangible way to understand the impact of good service management.

Is it time to shift your thinking about service management? Are you reporting operational measures instead of business outcomes? What would be possible for your organization if you could illustrate the ROI of service management? Let Tedder Consulting help! For more information, contact Tedder Consulting today.

ESM, ITSM

The Curious Case of the Missing IT Strategy

October 17, 2021 Doug Tedder Leave a comment

IT organizations often get stuck in a vicious cycle of never-ending work. IT implements solution after solution, fixes one problem after another, and no matter how many times they do it, those solutions and fixes never seem to stick. IT often finds itself just trying to keep up with what appears to be a constantly changing business. IT is often seen as the anchor slowing business down and has earned a reputation of being the slowest path toward technology implementation. And when budget times come around, IT never seems to manage to get its fair share.

These are signs that an IT organization is missing strategy. This is a massive problem for both IT and the organizations that IT works within. Why are so many IT organizations missing a strategy? What can be done to establish a viable IT strategy?

One thing that is certain – the strategy can’t just be “do”.

The Missing IT Strategy

Of course, no leader intentionally avoids developing strategy. It’s usually a consequence of a number of factors. However, in the case of the missing IT strategy, the CIO has to establish a business-technology (not technology alone) strategy, talk and share that strategy with other leaders, incorporate and underpin the larger business strategy, and drive the IT organization forward following that strategy. If a CIO spends too much of their time doing or supervising the day-to-day work within an IT organization instead of delegating, she won’t have the time (or energy) to be strategic. If a CIO has to spend more time supervising the daily activities of IT than ensuring business outcomes and value, that’s usually an indicator of a missing IT strategy.

The second indicator of a missing IT strategy is the lack of true service management. Why? Because if the service management foundation is not strong or well executed, IT can never be strategic. If IT ignores:

Defining services in terms of business value and outcomes
Creating workflows that are based on services, not technologies or organization charts
Publishing performance reports that are relevant to and meaningful for the business

then IT is setting itself up for failure. Many organizations look at service management as just something that a service desk does. But good service management provides the capability of relating technology investments to business outcomes. This makes good service management a critical part of the foundation of IT. Having a solid foundation is what keeps IT relevant, reliable, and able to scale to meet business needs. WIthout good service management, IT will waste a lot of time just trying to keep up with service requests and putting out fires instead of enabling the realization of business strategy.

Finally, the third indicator of a missing IT strategy is a “one thing at a time” mentality. To stay on track, IT organizations often choose to focus on just one initiative at a time. This might help your team feel less overwhelmed, but it often comes with the cost of missing a holistic view of the organization. The ability to see the birds eye view of how the organization relies on technology to create better outcomes for end users and customers is one of the most important skills for an IT leader. Having this big picture view enables the IT leader to be even more strategic.

Why does IT need a strategy?

IT operating as only a support team is no longer an option for any business. The speed of business has increased significantly over the last decade, due in a large part to the introduction of new technologies, such as automation, mobile computing, cloud-based services and machine learning. IT has to be the driver and enabler of technology. Whether it’s realized or not, technology has become “baked into” every aspect of the organization.

The question is “has IT become ‘baked in’ as well?” Without a well-defined IT strategy, the answer to this question is usually “no”.

Defining, socializing, and executing a strategy strengthens IT’s role within an organization. It’s what separates the IT organizations that are treated as order takers from the IT organizations that are treated as valued partners.

How to solve the case of the missing IT strategy

Here are three things that IT leaders can do to solve the case of the missing IT strategy.

What is the business strategy? How can technology enable realization of business strategy? To shift from a “support only” team to a strategic asset, IT first has to understand the goals and objectives of the overall organization – and how technology can be used to enable realization of those goals and objectives. IT’s strategy must be tied to these business goals and objectives. IT leaders have to take a step back from the inner workings, day-to-day activities of IT and look at the bigger picture of the organization.

Elevate to real service management, not just some arbitrarily selected processes. Once IT understands the role of technology in achieving business strategy, IT must then elevate its approach to service management. Service management is more than just fulfilling requests and resolving outages. An effective approach for elevating service management is to identify and map the value streams of an organization, then identifying how technology underpins those value streams. Value streams help identify the products and services that IT must deliver. This exercise not only lays out what service management must enable and deliver for the organization, it is also a great way to align what IT is doing to the overall needs of the business.

Report IT performance in business terms. Once you’ve elevated your service management and understand the goals and objectives of the company, then you’ll be able to produce and publish performance reports that reflect how IT contributions enabled achievement of business goals and objectives. Having this capability is significant for a number of reasons. First, it demonstrates that IT truly understands what is important to the organization. Secondly, it provides the ability to evaluate if IT strategy is meeting business needs. And lastly, it begins to change the perception of IT as just being a “support team” to a strategic asset.

Thinking and working strategically is transformative for an IT organization. After you’ve seen how IT integrates with the rest of the organization, you won’t be able to go back to working only in a ‘support’ role. By defining and executing an IT strategy , your entire business will become stronger.

Need help developing an IT strategy that is aligned with your business objectives? Let Tedder Consulting help! Tedder Consulting will first visit your organization to understand your business, goals, and current IT situation. Tedder Consulting will then conduct an analysis of your IT services and practices to determine how they are operating. Finally, we deliver a plan for aligning your technology strategy to your business goals. For more information, contact Tedder Consulting today.

ITSM, Leadership

Are You Due for an IT Health Check?

October 10, 2021 Doug Tedder Leave a comment

If I asked IT leaders what it was like the week the world went remote in 2020 due to the COVID-19 pandemic, I would guess 90% of them would have visceral reactions to the memory of that time. Many organizations were caught without any kind of technology contingency plan – and they felt the pain of that.

That hectic period should have taught every IT organization a valuable lesson – you can never predict when an IT emergency is going to hit.

Unfortunately, not every IT (or business) leader got the memo. They made it through COVID-19 disaster and went right back to the day-to-day grind, promising (hoping?) to get updated or new recovery plans in place when things slow down.

The problem is that the next disaster could be just around the corner. My apologies if this sounds fatalistic, but that is exactly what happened nearly 18 months ago. Organizations around the world were faced with a scenario that, while no one could have anticipated, very few had any kind of contingency. What will the next disaster look like? Could it be the moment that budgets are being reviewed and IT is suddenly on the chopping block? Or your supply chain breaks down and IT has to scramble to ensure customers receive their services?

IT disasters can be like heart attacks. There’s never a good time for one. But they can often be avoided – even prevented – by developing good healthy habits along with conducting regular health checks.

Three Healthy Habits of an IT Organization

How can you protect yourself and your IT organization from these IT “heart attacks”? Much like with your personal health, it all starts with developing healthy habits and regularly conducting IT health checks. Here are three of the top healthy habits you should develop in IT.

1. Regularly Discussing and Agreeing Business Value
IT has to understand the business value of their work. One of the healthiest things any CIO can do is to regularly connect with business peers to review value. Value is one of the hardest things to define within an organization, and may shift over time. The only way to confirm IT value is to review and discuss that value with other senior managers and leaders within the organization.

2. Regularly Review IT Service Definitions
Another healthy habit is clearly defining IT services in terms of business outcomes. Defining services demystifies what IT does and connects what IT does to business outcomes and value. Additionally, well defined IT services enable the organization to take advantage of its technology capabilities for competitive advantage. Regularly reviewing IT service definitions with other senior business managers not only positions the organization for taking advantage of current IT capability, but also to help identify and plan for future technology needs.

3. Regularly Map And Review Value Streams
Finally, having up-to-date value stream maps is a great health check for an IT organization. A value stream map illustrates how materials and information flow through an organization, and helps the entire organization clearly see how value flows in the organization. Value stream maps also provide a way for IT to identify where and how technology contributes to the value stream. Mapping and reviewing these value stream maps further enhances business relationships and also ensures alignment between IT and the business it serves.

Signs your IT organization needs a health check

Not sure if your organization needs a health check? Here are few signs that it’s time:
Your peers question the value and usefulness of IT products and services.
Your IT organization just can’t seem to get ‘caught up’.
You’re challenged to provide a clear ‘line of sight’ between investments in technology and business results.
IT is usually handed solutions, not opportunities, for solving business challenges.
Working in IT is chaotic and unrewarding. IT seems to spend more time “fire-fighting” and less time “innovating”.
No one asks questions about IT performance reporting.

IT Health Checks Don’t Have to Be Overwhelming

Much like eating a low-cholesterol diet and exercising more frequently, these IT health checks may initially feel like a pain that restricts your fun (or innovation, in an IT world). But the truth of the matter is if IT does these things on a regular and consistent basis, it stops feeling like a chore. You’ll have a shared understanding of business outcomes and the role that technology has in achieving those outcomes. You’ll have transparency between investments in technology and business value. And both the IT organization and the business overall end up with better outcomes, better investments, better relationships, and better businesses.

That’s why I strongly recommend scheduling regular periodic health checks for your IT organization. These healthy habits can’t be developed in a vacuum. They can – and should – be built into all your other initiatives.

At the end of the day, these “health checks” are service management activities. Service management shouldn’t be viewed as something that is done in addition to your work. Service management is how good IT organizations get work done in a manageable, reliable, and predictable way.

Need an IT Health Check?

Need help with your IT Health Check? We can help. With over 20 years of service management experience, Tedder Consulting can provide your organization with the objective assessment of the health of your IT-business relationship, and an actionable plan for instilling those healthy habits that will have a positive impact on your organization! Contact Tedder Consulting today!

Leadership

What Ever Happened to Critical Thinking?

September 19, 2021 Doug Tedder Leave a comment

As businesses grow, so do the size and complexity of their problems and challenges. To solve those complex challenges and problems, leaders need to employ more critical thinking from themselves and their teams.

However, the world seems to be lacking critical thinking at a time when businesses need it most. And the lack of critical thinking isn’t just anecdotal tales told by frustrated leaders. There’s research to back it up. So, whatever happened to critical thinking and can we get it back?

Critical Thinking, Defined

First, let’s address the big question: what exactly is critical thinking? In the broadest terms, critical thinking is the ability to think reasonably, removing your own emotional attachment and personal bias.

Critical thinking requires individuals to rely on data and take the steps to analyze and evaluate data to make a decision. According to the Foundation for Critical Thinking, “critical thinking is self-directed, self-disciplined, self-monitored, and self-corrective thinking.”

It’s important to note that critical thinking helps you to avoid doing things simply because they’ve always been done a certain way or because a certain way seems easier or faster.

What has happened to critical thinking?

Has there really been a decline in critical thinking? There is research that shows this is a reality for many higher education institutions and businesses.

A Wall Street Journal analysis of standardized test scores given to freshmen and seniors found that the average graduate from prestigious institutions show little or no improvement in critical thinking over four years.

That trend extends into the business world. In May 2016, a survey by PayScale and Future Workplace found that 60% of employers believe new college graduates lack critical thinking skills, based on a survey of over 76,000 managers and executives. Additionally, about half of employers rate their employees’ critical thinking skills as average or worse.

There is no one main reason for this decline in critical thinking. Most experts attribute it to a combination of things.

To start off with, there is not a clear definition of critical thinking and therefore, many professors, instructors and employers lack a way to objectively assess critical thinking skills. And many teachers struggle to teach critical thinking so many simply don’t do it. The Education Post found that only 1 out of 10 educators teach critical thinking and that teacher usually teaches at a selective school or to a select group of students.

And some experts say technology is one of the reasons for this decline. According to research by Patricia Greenfield, UCLA distinguished professor of psychology and director of the Children’s Digital Media Center, Los Angeles, as technology plays a bigger role, our skills in critical thinking have declined and our visual skills have improved.

Anecdotally, I think it’s important to point out that a decline in critical thinking in business might not be the actual decline in critical thinking. Rather, the decline in critical thinking is due to a lack of opportunities (or ignoring opportunities) to encourage critical thinking.

Many businesses are only looking for the fastest (and sometimes cheapest) way to a solution. Such an approach is an anti-pattern for critical thinking. When you’re always looking for shortcuts, you’re cutting out the time to critically think. When you’re too quick to say something isn’t working and that you need to change directions completely, you’re sabotaging critical thinking.

All of this probably sounds like bad news for those looking to increase critical thinking in their organizations. The good news is that critical thinking can be taught and if it’s encouraged enough in an organization, it will be taught!

How to Improve Critical Thinking

Contrary to many opinions, critical thinking is not a soft skill. It can be learned and it must be practiced to be developed. Here are a few steps that will help you tap into critical thinking.

Gather more and better data
Critical thinking is the ability to remove your own bias from problem-solving and the best way to do that is to look at the data. Many organizations are trying to make decisions with poor data. As an organization, you need to prioritize having as much high-quality data as possible. And as the IT organization, you must collect this data and ensure that the organization is using it to its fullest ability.

2. Question assumptions
This is the most important piece to critical thinking — and it’s often the most difficult part. Don’t just look at the “what” of the problem. Ask about why it’s happening. Be wary of the assumptions you may bring to the table and when you come to a conclusion, ask yourself if you’re basing the conclusion on the matter at hand or on previous experiences. Additionally, it’s important to separate data and facts from assumptions and inferences. Often, leaders will make an assumption and then treat it as fact. Dig into the why and use data to protect yourself from inferences.

3. Look for opportunities and potential
Critical thinking isn’t about shutting down opportunities or ideas. It’s about seeing possibility and potential based on data and without assumption. For example, failed initiatives and major service interruptions are opportunities to revamp processes or rethink strategies to create something better.

4. Look for new perspectives
To be a critical thinker, you have to get out of the echo chamber. Engage in active listening when discussing problems and solutions. Engage with and actively listen to colleagues with opposing views in your own organization. While most people dread having to speak to someone who simply does not understand their role, it can be an excellent exercise to obtain new perspectives that can give more context to problems, examine your own biases and spark more ideas. Additionally, as a leader, you may benefit from learning from other industries or experts from other organizations. Be open to new perspectives or ideas from unlikely avenues.

5. Manage ambiguity
Finally to improve your critical thinking skills, get comfortable with ambiguity. We are all operating in rapidly changing environments. The data we have will change. Your own perspectives will shift, as well the perspective of others. You have to be comfortable identifying that you are making the right decision today, but the way those decisions get made can change in the future. Getting comfortable with this type of ambiguity and being able to practice critical thinking despite this rapid pace of change will help you to make better decisions for your organization in the long run.

Critical thinking doesn’t have to be a lost art. It can and should be encouraged at all levels of the organization – but it must start from the top. If you’re wondering whatever happened to critical thinking in your organization, perhaps it’s time to take a step back to examine your own critical thinking approach.

Is your organization suffering from a lack of critical thinking? Has your organization found ways to nurture and encourage critical thinking? Please share your thoughts!

ITSM

Don’t Go Chasing Electrons

September 1, 2021 Doug Tedder 2 Comments

One of my biggest gripes about service management is that the work of service management has become synonymous with service management tools. This has really become an Achilles heel for service management. While service management tools are useful, they typically don’t take a value and outcome-based approach to identifying and defining services.

Because of this, many IT organizations have found themselves executing superficial service mapping initiatives that hardly get the complete job done. Rather than first critically think about services in terms of the value and business objectives that must be achieved with the use of technology, they buy and implement a service management tool. Then they use the tool to chase electrons across the network, map where those electrons went and what was found, and call it done.

Here’s why chasing electrons with a service management tool to define services can be the kiss of death to any real service management success.

What Service Management Tools Actually Do

I want to be clear that I am not “anti-tool”. Good service management tools are a vital and necessary component of any successful service management initiative. But those tools only address a part of service management challenges.

In its simplest form, using a service management tool to identify services is an exercise in chasing electrons. This approach focuses on the technology and seemingly puts order to that technology… so you can keep chasing more electrons.

But it’s this use of the tools that frequently causes the biggest problems with service management within organizations. Sure, this approach will find whatever is active on the network. It will group what it finds by application or system. But it also perpetuates the perception that service management is just about the tool… and not how good service management enables and supports the outcomes and value needed by a business from its investments in and use of technology.

Network maps don’t mean much if you can’t connect them to real business outcomes. Capturing what software is found on what hardware does not articulate the business value provided by that technology. An electronic discovery will never find the people, practices, or processes involved (and absolutely critical!) in delivering services within the organization.

What you’re left with is a reinforcement of a gap between IT and the business.

The Consequences of Relying on Tools to Define Services

Here’s what happens when you implement a service management tool without doing the prerequisite work:

IT spends a chunk of money on an expensive tool.
IT spends a large amount of time and money implementing that tool.
Because of the investments in both time and money, IT and the business as a whole feel they need to stick with their tool, no matter if it’s actually solving their problems.
When the initial tool implementation is done, IT and the business think that service management work is “done” as well.

Well, it’s not “done”. In fact, it becomes an ongoing issue. And the longer businesses ignore what should be service management, what should really be defined as services, the harder it becomes to fix it. As a result, IT will keep struggling with a reputation of being technology-oriented order takers. Yes, IT does more than configuring routers, writing code, and resetting passwords…but the tools don’t demonstrate that in business terms.

At some point after implementation, IT leaders have to ask themselves, “Have the accomplishments we’ve achieved with this tool helped us improve the value proposition of technology investments for my organization?”

How IT Can Stop Chasing Electrons

Defining services in terms of value and outcomes and implementing a service management approach that is actually about the business (not the technology) isn’t an out-of-the-box solution. But if you treat it like it is, you’re going to get stuck with definitions of services that don’t reflect the business needs of the organization and a burgeoning gap between the business and IT.

IT needs to define services in terms of business value and outcomes

This is a point many would prefer to ignore, but it simply can’t be ignored. You can’t shortcut your way to defining IT services – and do it the right way. Tools will come into play at a later date and they will streamline the work, but they can’t do it without the right collaboration between IT and the organization.

Doing the work to articulate how your services enable or deliver business outcomes also positions IT to evolve as the business evolves. If we’ve learned anything over the last year, it’s that the way we do business can turn on a dime and IT has to be able to adapt to the ever-changing nature of how business does business. You can get ahead of the curve by having defined services in terms of business value and outcomes, then having ongoing conversations with your business colleagues about the value and outcomes needed from investments in technology, not just the technology.

2. IT needs to define the buying criteria for tools

You have to think about the long game with IT tool investments. It’s not easy to do, but it’s what builds the solid foundation of an IT organization that contributes to the bottom line.

IT has to define its tool-buying criteria based on business needs, not what the IT industry is seemingly telling them to buy. Every business is unique and solutions aren’t one-size-fits-all. Engaging key stakeholders to understand technology needs and business goals will help create buying criteria that will shortlist the tools into those that could actually work for you.

Additionally, establishing this buying criteria can help you improve your tool implementations. Often tool vendors or consultants will want you to implement a tool following some predefined technology playbook. But in reality, the best thing for your business is likely configuring the tool differently and in a way that best fits your business.

Before investing in a service management tool, ask yourself:

How does this investment answer the business value question?
Do we understand the types of outcomes that must result from this investment?
Why should our business want to invest in this?
Are we prepared to leverage the functionality of the tool?

Don’t Short Cut It

Tools are often marketed as an easy shortcut for your service management issues. But you have to think of investments in service management tools like running a marathon. A service management tool is like having a really good pair of running shoes. It can enable you to succeed. But if you haven’t done a pre-marathon training program, having good running shoes will only get you a few miles into the race – and then you will find yourself struggling. Good shoes alone will not help you complete the marathon.

Just like in running a marathon, you have to do the necessary work ahead of time to prepare yourself to win. You have to do the work to define your services in business terms, ensure you understand and can deliver the needed business outcomes, and that the work your team is doing is aligned with the business. Then, implement your tool and it will work better in the long run!

Good service management is not just about opening a ticket. It’s not just about resolving an issue or implementing a change. It is about how people, processes, and technology work together in a repeatable, measurable, and holistic way to consistently enable business outcomes and value realization by the entire organization. If service management isn’t doing this for your organization, I can help. Contact Tedder Consulting today.

Digital Transformation, ITSM

You’re Talking About Value Wrong

August 1, 2021 Doug Tedder Leave a comment

“Value” is one of the most overused and misunderstood terms in business today.

It is often thrown around in meetings and on company websites but while many organizations talk about value, very few get it right.

Why is that? What is the problem with value? For starters, value is a perception. What is valuable to one organization -or one person – may not be as valuable to another. And many organizations don’t define value at an enterprise level. As a result, company initiatives are fractured and less impactful because everyone within the organization is using their own value measuring stick.

The second problem with value is that too many organizations equate value only with cost savings. This is a misconception that can cost organizations a lot of money and time with little to show for it. Fact is that organizations, just like people, are happy to pay for things that they perceive as being valuable – cost is secondary.

If you’re talking about value wrong or worse, not talking about it at all, here are three points that will help you reframe the value conversation.

Value does not equal cost savings.

When thinking about value, it’s easy to just think in terms of dollars and cents. It’s straightforward and unlike value, everyone knows exactly how much dollars and cents are worth.

Now, cost is a factor in value but it should not be the leading factor of value. Because in addition to a price tag, there are intangible costs with any transaction. These intangible costs include things like time to make the purchase, the ease of making a purchase, the time to get set up with a product or service, etc. These intangible costs factor into the value and depending on the end-user, they could mean much more than a specific dollar amount.

When you’re discussing value — whether it’s the value of your product or service, a new technology, or your own IT services, don’t forget the intangibles and factor those into the value.

Outcomes by themselves don’t deliver value.

In an article for SysAid, I explained the difference between outcomes and outputs in reference to ordering a pizza. The outputs are the operational measures, like when you order a pizza and it arrives on time and at the agreed upon price. The outcomes are the results that show the value of that pizza delivery, such as did you get the pizza you ordered, was it hot and fresh, did it taste good and so on.

More IT professionals are beginning to focus on outcomes instead of outputs, which is very important! However, outcomes alone don’t get the job done when it comes to value. Competition is too intense these days and consumers have a lot of options, and high expectations.

So what combines with outcomes to create value? The experience of the transaction.

Part of value is experience.

If you don’t provide or enable a good experience, you’re not offering value. The experience is just as important today. In fact, Salesforce found in a survey that 80% of customers say the experience businesses provide is just as important as its products and services. And Gartner found that 81% of businesses compete primarily on customer experience.

Customer experience is more important than ever and if you want to deliver value through your products and services, you have to offer a seamless and personalized experience for your customers.

The Role of Service Management in Value

By this point, it’s clear that value isn’t just about a price tag. It’s a combination of understanding what’s important to your consumers and consistently delivering those results – along with a great experience. In short, someone finds value when they can say “I got the outcome I needed and expected and I had a good experience while doing it – at the price I was willing to pay.”

The connection between the experience and outcomes lives in your service management foundations. Service management is how you can monitor the experience and ensure you deliver the outcomes that a customer wants so they can recognize the value of your products and services.

Is your service management approach strong enough to deliver value? Have you done these things in the last 12 months?

Met with your key stakeholders to review and agree on a shared definition of value
Mapped your value streams with all stakeholders, not just IT
Audited your workflows to identify and implement improvements
Implemented continual improvement strategies

Service management is an ongoing initiative but it can — and will — help to deliver value if it’s done properly with buy-in from the entire team.

If you’ve been struggling with showing how IT delivers value to the bottom line and you want to elevate your IT organization, you need to be sure you’re talking about value correctly. Review your service management approach. Examine the customer experience. You may just find the areas where IT can fill any gaps and deliver the value your customer needs.