Welcome to this month’s issue of the Learning Dispatch newsletter.

Today, we’ll discuss:

• Does Your Training Program Have Technical Debt? Our Learning Dispatch insight for the month.
• A case study on Modernizing a Government LMS to Support Scalable, Data-Driven Learning

Does Your Training Program Have Technical Debt?

It’s pretty likely that it does. If your program has courses, curriculum, competencies, learning plans, or anything else where a decision made to solve a problem today means that the solution itself will need to be adjusted later, you’ve incurred technical debt.

Why does it matter? As the pace of change has exploded in recent years, ensuring that people have the knowledge, skills, and abilities to enable organizations to achieve their business goals—that is, ensuring that training programs are effective—is essential for the success of organizations and their employees.

Technical debt (a concept developed by Ward Cunningham and refined and extended by others) is the often-hidden extra work that’s created by decisions that prioritize short-term speed over long-term maintainability. That extra work can be thought of as interest that accrues over time. Servicing it can eventually result in slow and expensive updates, compounded cost development, and damaged course credibility as material becomes outdated and less than useful.

It may be the case that technical debt in training programs cannot be fully eliminated, but it can be identified as an essential component of program management and handled effectively once it is visible.

The Debt That Training Programs Accrue

Training programs accrue debt most often at the design level, when decisions made in development and architecture result in a hidden maintenance burden. For example:

• Information present in one course is duplicated in another. What happens when the duplicated material needs to be updated?
• A course is developed directly in a learning management system (LMS), using that LMS’s internal development tools. What happens when the organization decides to move to a new, different LMS (or loses access to an existing one)?
• Compliance with existing, external standards (such as accessibility) isn’t considered during development. What happens when the organization is required to comply with such standards?
• Course source files aren’t documented, tracked, or backed up. What happens when the course needs to be updated and the original files can no longer be located?
• Courses are outsourced to training partners. What happens when the courses need to be revised?

In each of these cases, a decision is made (with or without intention) that results in work deferred to the future. Note that these choices aren’t because designers are lazy or programmers are careless. It may have been the most effective strategic direction that could be taken at the time. For example, development might be outsourced to a training partner because the initiative has a high priority, yet internal resources aren’t available. It can be the right decision in that moment (especially when you’ve chosen the right training partner) yet still be one that incurs a long-term liability.

Managing Training Technical Debt

It’s likely that most training programs, at one level or another, will consistently result in some kind of deferred work. These programs are built, much as software is, on the best information available at the time, and changes in organizational needs are not always predictable. However, if this liability is unlikely to be eliminated, it can still be managed.

The first step in managing the hidden cost of training technical debt is to make it visible. Determine which decisions might create an update burden and call them out, making the tradeoffs needed for mitigation explicit. If you already track course revisions, add a separate category for deferred work so it is addressed. If you schedule periodic program reviews, include legacy constraints in that process.

You can also ensure that technical debt is addressed in policies and procedures. Have you defined “technical debt,” creating consistent vocabulary, concepts, and practices? Are appropriate policies in place, such as one requiring source files to be documented, tracked, and available even if team members move to other projects?

Lastly, track the effort needed to address technical debt. Granted, this isn’t easy, but using metrics to monitor how much time and effort is required to address the maintenance burden can help influence the decision whether to avoid accruing it (let’s address accessibility now) or to factor in the cost of retiring it later (we’ll need to allocate additional resources to migrate those LMS-only courses to the new LMS).

The Impact of Artificial Intelligence

One of the driving factors behind the pace of change has been the growing capabilities of artificial intelligence (AI). What impact might AI have on technical debt? AI may ease the load of rework, either when creating training or when addressing deferred work. However, bear in mind that, according to a growing amount of research, using AI does not eliminate the issue. It might enable teams to build training much more quickly than traditional methods, but speed itself doesn’t bypass long-term maintenance obligations (in fact, prioritizing speed over maintainability, as we’ve noted, is a common cause of technical debt). It may be most helpful to consider AI as an additional, albeit significant, factor when accounting for future upkeep.

Where Do We Go From Here?

Thinking about the hidden cost of short-term decisions can shed new light on existing problems in training program management. It can highlight the existence of deferred work and its associated maintenance burden, helping to ensure that training programs remain impactful and effective. To live debt-free may not be possible, but living in a way that manages debt so that you can more fully achieve the meaningful things in life certainly is.

Let’s Talk About Your Training Challenges

Would you like assistance with managing your technical debt? We’d welcome the conversation.

For more than 35 years, Microassist has operated at the intersection of strategy, procurement, and learning development execution, helping organizations turn training plans into measurable results. Across government, corporate enterprise, and higher education, we’ve seen one constant: technical skill is expected. Real success comes from a partner who understands your environment and can adapt as it evolves.

Ready to talk through your next step? Contact Nivarni at [email protected] today.

Case Study: Modernizing a Government LMS to Support Scalable, Data-Driven Learning

Earlier, I noted that technical debt can be incurred when developing content in an LMS—and it can become especially apparent during migration. Let’s look at how Microassist helped one large government agency move to a modern, secure platform that enabled them to scale training delivery, improve reporting, and serve a diverse learner population.

Client

The Texas Office of the Attorney General (OAG) serves the state by providing legal representation, enforcing consumer protection laws, and supporting public safety and child welfare initiatives. With thousands of employees and external learners, OAG relies on effective training systems to support compliance, professional development, and operational readiness.

Opportunity

The Texas OAG needed to transition from an outdated learning management system to a modern, scalable platform capable of supporting approximately 4,000 learners across internal and external audiences.

The existing LMS limited reporting capabilities, scalability, and user experience. OAG required a solution that could support blended learning, improve learner engagement, and provide administrators with accurate, actionable reporting—while maintaining strong security and ease of access.

Solution

Microassist partnered with OAG to implement a comprehensive platform designed to improve scalability, usability, and reporting.

The new platform included:

• Simplified user management with customizable roles and groups
• SCORM compatibility for seamless integration of existing and future eLearning content
• Single sign-on (SSO) for internal users and multi-factor authentication for external users
• Robust reporting tools for tracking completions and site activity
• Custom branding aligned with OAG’s visual identity
• A configurable course catalog supporting multiple learner audiences

Microassist ensured all historical learner records were successfully migrated, allowing OAG to transition to the new system without data loss or disruption.

Success Drivers

Successful implementation required aligning several critical factors:

• Migration of learner records and content from a legacy system
• Support for a diverse population of internal and external learners
• Improved reporting accuracy and visibility
• Strong security controls paired with a user-friendly experience
• A scalable platform capable of supporting future growth

Microassist addressed these factors through careful planning, structured migration, and close collaboration with OAG stakeholders to ensure continuity, reliability, and long-term value.

Results

The LMS migration delivered meaningful operational and learning improvements for OAG:

• Improved learner engagement through a more intuitive, modern platform
• Enhanced reporting capabilities supporting compliance and data-driven decision-making
• Streamlined administrative workflows through simplified user management and access controls
• A scalable learning infrastructure positioned for long-term growth and evolving training needs

The new LMS provided OAG with a flexible foundation for delivering consistent, effective training across its organization.

Does Your Organization Encounter Similar Issues?

Many teams struggle with legacy LMS platforms that limit scalability, reporting, and learner experience. If your organization is considering an LMS migration or digital learning transformation, Microassist can help ensure a smooth transition and long-term success.

Need help? Contact Nivarni at [email protected] today.

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Until next time,
Kevin

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