April 24, 2026

The Instructional Designer's Expanding Mandate: From Course Builder to Institutional Strategist

The version of the instructional designer role we know is evolving. 

On paper, it's about course development, applying a design model, supporting faculty, managing the LMS, clean, bound, clear deliverables.  

In some institutions, the same individual now handles faculty concerns about AI policy, participates in enrollment strategy meetings, and attempts to carry out strategic tasks with a team that, in most cases, is designed for operational production. 

That gap between traditional job description tasks and the increasingly strategic roles is where most instructional designers are operating right now. 

Here's where it shows up most, and what it looks like when ID teams navigate it well. 

What Instructional Designers Actually Do vs. What Their Job Description Says 

Graduate students studying online grew from 33% in 2019 to 40% in 2023 and are expected to reach 55% by 2030. Online learning has gone from a supplemental offering to a strategic priority, and that shift has fundamentally changed what institutions need from their ID teams. 

The job description still reads like 2012: course builds, LMS support, faculty collaboration, quality assurance. Those things still matter. But they describe maybe half of what a high-functioning ID is doing today. The other half looks more like this: advising on program viability before a dean commits to a launch date. Consulting on accessibility compliance before it becomes a legal issue. Translating learning science into language that resonates with a CFO. The tasks are becoming more strategic rather than just operational. 

The solution begins with institutions recognizing this evolution. ID teams can start by documenting what they do, connecting it to institutional outcomes, and having a direct conversation with leadership so their job description reflects their actual job. This conversation also helps provide ID teams with the strategic support and resources necessary to better fulfill their new responsibilities. 

Moving From Transactional to Collaborative Faculty Partnerships 

The transactional model has a familiar shape: a faculty member has a course, an ID gets assigned, they meet a few times, the course gets built, and the relationship ends. It's efficient in a narrow sense. However, there is a chance to develop a collaborative relationship between ID teams and faculty across the entire course duration.  

A faculty member who sees you as a production resource will hand you slides and tell you to make a course. A faculty member who trusts you as a thought partner will let you challenge their assessment design and push back when the workload they're planning will overwhelm students. Getting from one to the other takes time and intentionality. 

The IDs with the strongest faculty relationships aren't waiting for projects to be built for them. They show up at department meetings. They run workshops that help faculty solve real problems.  

They reach out when something relevant comes across their desk, not just when there's a project to work on. The same ID, the same expertise, a completely different dynamic depending on whether the relationship was built before the work started. 

The ID Team as Institutional AI Translator 

The numbers here are stark. AI adoption among higher education professionals for work and personal use more than doubled in a single year, with 93% expecting to expand their use of AI further over the next two years. And yet only 14% of faculty say they're confident in their ability to use AI in their teaching, and only 18% say they understand the teaching implications of generative AI.  

This is where instructional designers play a crucial role, and why their roles are changing. The most effective teams to assist institutions in managing AI in education—those who understand both the technology and its impact on learning design—are ID teams. Institutions need to allocate resources to train their ID teams, as these teams will play a crucial role in utilizing AI for learning design and implementation. 

Teams need to be quick to adapt. Stay ahead by holding faculty workshops before panic arises, creating assessment redesign frameworks that provide faculty with practical tools, and formulating a thoughtful stance on academic integrity in an AI-driven environment. 90% of institutions have introduced AI-related initiatives, but these have not materialized into clear policies at most schools, indicating that the work of translating intent into practice still largely remains. That's an ID team's work. 

Workload Prioritization When Everything Feels Urgent 

There is a particular exhaustion that comes from working in a role where everything is always urgent, and the list never gets shorter. Most ID teams know it well. 

The practical fix starts with honesty about how your team's time is being spent. 

Most teams, when they do this audit, find a meaningful gap between where capacity is going and where it generates the most value. 

From there, the work is divided between requests that require require your team's full expertise and those that require a lighter-weight response. Not every faculty question requires a one-on-one consultation. Not every redesign request warrants the same investment. Building tiered responses, resources, and templates for lower-complexity needs and deeper partnership for higher-stakes work frees up capacity for the things that genuinely require it. 

The harder piece is managing expectations. That means being willing to say, clearly, that your team can take on this project, but not until next semester, and here's what you can offer in the meantime. That transparency feels uncomfortable at first. But it's far less damaging than quietly absorbing every request until the team breaks. 

Workload prioritization isn't a productivity tactic. It's a leadership practice. And in an environment where demand will keep growing faster than capacity, it may be the most important thing an ID team leader gets right. 

The Gap Is the Work 

Every one of these challenges points back to the same underlying issue: higher education is asking more of its instructional design teams than ever before, while the infrastructure, recognition, and resources struggle to keep pace. 

The institutions' leaders and ID leaders navigating this well aren't waiting for the gap to close on its own. They're naming it, making it visible, and having the direct conversations that need to happen for things to change. That's not comfortable work. But it's the work, and the leaders doing it are reshaping what this profession looks like for everyone who comes after them. 

EDUTECHLoft: Your Strategic Partner in Instructional Design Excellence 

At EDUTECHLoft, we work alongside higher education institutions to close these gaps. We help you assess your current instructional design capacity, align your ID function with institutional strategy, build accessible and inclusive course ecosystems, and navigate AI adoption with pedagogical clarity.  Whether you are rethinking your team's role for the first time or accelerating a transformation already underway, we bring the experience and methodology to make it stick. The institutions that will lead in the next decade of higher education are the ones that treat instructional design as a strategic asset, not a service desk.  Ready to move your ID function from tactical execution to strategic impact? Schedule a meeting with us to learn how we can help you!