How Universities Compare Academic Programs During Portfolio Reviews

July 21, 2026

Every university eventually faces difficult questions about its academic portfolio.

Which programs should grow? Which need investment? Which require redesign? Which may no longer align with student demand, workforce needs, or institutional mission?

These decisions are rarely simple. Academic programs exist at the intersection of mission, enrollment, finances, workforce outcomes, and faculty expertise. Looking at only one measure often produces the wrong answer.

That is why many institutions conduct periodic academic portfolio reviews.

What Is an Academic Portfolio Review?

An academic portfolio review is a structured process used to evaluate the health, sustainability, and strategic fit of academic programs across an institution.

Rather than focusing on a single department or discipline, portfolio reviews examine programs collectively to understand how they contribute to institutional goals and long-term sustainability.

The goal is not simply to identify programs for elimination. The goal is to make informed decisions about where to invest, innovate, and adapt.

Strong portfolio reviews often lead to:

  • New program development opportunities
  • Strategic investments in high-demand disciplines
  • Improved resource allocation
  • Curriculum modernization
  • Stronger alignment with workforce needs
  • Better support for institutional mission

Why Single Metrics Lead to Bad Decisions

Historically, many institutions relied heavily on enrollment when reviewing programs.

Low enrollment frequently triggered concern, while high enrollment was treated as a sign of success.

Unfortunately, enrollment alone rarely tells the full story.

A small graduate program may generate a significant contribution margin despite modest enrollment. A rapidly growing undergraduate major may require expensive labs, clinical placements, or faculty resources, which can reduce financial sustainability.

Similarly, labor market demand does not automatically translate into student demand, and student demand does not always align with institutional priorities.

Portfolio reviews require a broader perspective.

The Data Universities Use During Portfolio Reviews

Modern portfolio reviews typically combine multiple categories of information.

Student Demand

Institutions examine historical enrollment trends, application volumes, yield rates, retention patterns, and graduation outcomes.

Questions include:

  • Is student interest growing or declining?
  • Are enrollment changes temporary or structural?
  • Are competitors seeing similar trends?

Labor Market Demand

Many institutions now include labor market information to understand workforce opportunities associated with programs.

Common measures include:

  • Job postings
  • Regional employer demand
  • Wage outcomes
  • Occupational growth projections
  • Skills trends

This information helps institutions identify opportunities for expansion and emerging interdisciplinary fields.

Program Economics

Financial sustainability remains an essential component of portfolio reviews.

Institutions often evaluate:

  • Revenue generation
  • Instructional costs
  • Faculty workload
  • Contribution margin
  • Section-level economics
  • Cost per completer

Looking beyond departmental budgets often reveals opportunities that would otherwise remain hidden.

Mission Alignment

Not every academic decision should be based solely on economics.

Programs frequently serve institutional priorities related to:

  • Access
  • Community engagement
  • Research excellence
  • Liberal arts education
  • Regional workforce development

Mission matters.

The strongest portfolio reviews use data to inform decisions rather than allowing data alone to determine them.

Academic Quality and Outcomes

Institutions may also consider:

  • Student learning outcomes
  • Licensure pass rates
  • Graduate school placement
  • Employer satisfaction
  • Student satisfaction
  • Accreditation findings

Quality indicators help institutions distinguish between temporary challenges and deeper structural issues.

Comparing Programs Across Different Disciplines

One of the greatest challenges in portfolio reviews is comparing programs that operate under very different models.

How should institutions compare engineering and philosophy? Nursing and history? Data science and music performance?

Direct comparisons often create misleading conclusions.

Instead, many institutions evaluate programs within multiple dimensions, including:

  • Demand
  • Economics
  • Outcomes
  • Mission contribution
  • Strategic importance

Programs may perform strongly in one category while serving a different purpose in another.

This approach creates more balanced conversations and reduces the risk of oversimplified decisions.

Scenario Modeling Improves Decision Making

Leading institutions increasingly use scenario modeling during portfolio reviews.

Examples include:

  • What happens if enrollment grows by 10 percent?
  • What if a new online modality is introduced?
  • What if faculty vacancies remain unfilled?
  • What if labor market demand accelerates?
  • What if a program is redesigned around interdisciplinary pathways?

Scenario analysis allows leaders to evaluate options before making irreversible decisions.

Why Software Is Becoming Essential for Portfolio Reviews

The complexity of modern higher education makes manual portfolio reviews increasingly difficult.

Data often lives across multiple systems, including:

  • Student information systems
  • Finance platforms
  • Institutional research databases
  • Labor market tools
  • Accreditation reports

Bringing these data sources together requires significant effort.

Academic portfolio review software helps institutions centralize information, improve transparency, and create a shared evidence base for faculty and leadership teams.

The best solutions allow institutions to combine demand, economics, outcomes, and mission considerations into a single decision-support framework.

Better Data Leads to Better Conversations

Portfolio reviews are ultimately about institutional strategy.

The goal is not to replace faculty expertise or leadership judgment with algorithms.

The goal is to ensure that decisions are informed by comprehensive, transparent, and shared evidence.

Universities that approach portfolio reviews thoughtfully position themselves to adapt more quickly, invest more confidently, and better serve future students.

In an era of demographic shifts, changing workforce needs, and increasing financial pressure, institutions cannot afford to make decisions with incomplete information.

The future belongs to institutions that can understand their academic portfolio clearly and act on that understanding with confidence.

 

Mary Ann Romans

Associate Vice President, Marketing

Mary Ann creates, defines, and executes marketing strategy at Gray Decision Intelligence.

About Gray DI

Gray DI provides data, software, and facilitated processes that power higher-education decisions. Our data and AI insights inform program choices, optimize finances, and fuel growth in a challenging market—one data-informed decision at a time.

Related Posts
Subscribe to Our Blog

Join over 1,500 higher ed leaders receiving these insights

Related Posts