UX Case Study

Higher Ed Program Selection Journey

Transforming a legacy paper workflow into a universally accessible, user-centered digital ecosystem.

Role: Lead UX/UI Designer
Timeline: 12 Months
Team: 1 UX Designer, 2 Developers, 10 Stakeholders
Core Focus: Usability, WCAG Accessibility, Tech Constraints

The Challenge

Declaring or changing an academic major or minor is a pivotal milestone in a student’s university lifecycle. Historically, this process relied on a fragmented, manual, paper-based workflow that created significant administrative bottlenecks and left students feeling disconnected.

The Objective: Build a public-facing, user-centered digital application that allows prospective and current students to seamlessly filter academic programs and submit digital declarations, all while navigating a small team's technical constraints and strict accessibility requirements.

Phase 1: Discovery & Research

To understand the landscape and our users, the project kicked off with competitive benchmarking and qualitative user mapping.

Competitive Analysis

I audited the program-selection systems of peer higher education institutions. This analysis revealed a common pitfall: most universities treated program declaration as a rigid administrative form rather than a dynamic discovery tool.

User Persona Development

We needed to serve a highly diverse user base. I synthesized our user research into matrixed personas to capture unique workflows, tech-literacy levels, and pain points:

  • The Prospective Student: Needs an intuitive, public-facing interface to explore options and understand program requirements before enrolling.
  • The Current Student: Wants a frictionless, self-service utility to swiftly declare or modify their academic path.
  • The Faculty Advisor & Administrative Staff: Requires a robust, clear dashboard view to review, process, and track student applications without manual entry.
Primary Persona

The Current Student

"I just want to change my minor without tracking down physical signatures across campus."

Core Pain Point: Frustrated by manual paperwork loops and administrative opacity.
Ultimate Goal: A frictionless, self-service dashboard to safely submit declarations instantly.
Discovery Persona

The Prospective Student

"I'm comparing three universities. I need to know exactly what classes a major requires."

Core Pain Point: Rigid administrative forms that make exploring degree paths difficult.
Ultimate Goal: An intuitive, public-facing discovery tool to filter paths by career outcome.
Administrative Persona

The Faculty Advisor

"Manually typing student data from paper slips eats up hours I should be spending on active coaching."

Core Pain Point: Overwhelmed by high-volume data-entry bottlenecks and lost paperwork.
Ultimate Goal: A unified review dashboard to instantly track, approve, or reject submissions.

Phase 2: Information Architecture & Component Engineering

To condense hundreds of diverse academic paths into a seamless browsing utility, I engineered a multi-tiered information architecture that supports three distinct discovery workflows: guided exploration, structural drilling, and direct lookup.

The Tri-Discovery Filtering Framework

I translated complex university catalog data into an intuitive control schema composed of three co-dependent filter layers:

  • Categorization by Interest: Grouped disparate programs into universal semantic categories (e.g., *Computer & Information Systems*, *Health Professions*, *Visual & Performing Arts*) allowing exploratory users to discover relevant paths based on natural inclinations.
  • Structural Drilling by College: Provided advanced controls to filter listings by academic divisions, mapping directly to colleges like EAST (Engineering, Applied Science & Technology), Goddard School of Business, and Dumke College of Health Professions.
  • Granular Degree Classification: Enabled precise filtering by credential type, ranging from full Bachelor's and Master's degrees to Minors, Certificates, and Licensures.

Navigational Mechanics & Direct Lookup

Recognizing that user groups approach program selection with varying levels of intent, I incorporated two alternative fast-path navigation layers:

  • The A-Z Alphabetical Index: A continuous layout grid of letter anchors allowing current students who already know their target program to instantly jump directly to specific listings with a single click.
  • Direct Predictive Search: A streamlined alphanumeric input utility ("Search by degree name") that provides instantaneous, direct filtering for highly targeted query matching.
Control Layer
[ A | B | C | D | E ... ]
▽ Filter by Interest
▽ Filter by College (EAST, COS, SBE)
▽ Filter by Degree Type (Bachelor, Minor)
Figure 1.0: Component interaction layout showing the structural integration of the multi-tiered filter stack, predictive text search, and the alpha anchor sorting system.
Interface Architecture

Engineering the Multi-Modal Filter Ecosystem

The deployed portal layout uses a three-tab toggle system to support distinct search mentalities: visual discovery, structured auditing, and direct keyword mapping.

Phase 3: Balancing the Triad Constraints

A beautiful interface is meaningless if it isn't usable, universally accessible, or technically feasible. I managed these overlapping priorities by engineering an interactive system that balanced user satisfaction against strict university compliance rules and engineering resource limitations.

The Usability Challenge

Simplifying Complex Catalog Architecture

Initial testing cohorts revealed that students struggled to parse dense, academic terminology when looking for basic degree variations.

Design Interventions:
  • Streamlined administrative vocabulary into intuitive, user-facing discovery microcopy.
  • Engineered a clear visual component hierarchy that separates multi-select checkboxes from direct term lookups.
  • Created contextual layout spacing to distinguish major programs from quick certificate paths.

The Outcome & Impact

By moving the major and minor declaration process into a functional, public-facing digital environment, we successfully mitigated the operational bottlenecks of the legacy paper pipeline. The product successfully transitioned from the development environment to full university production, resulting in a streamlined lifecycle for both students and administration.

Engagement Metrics

Frictionless Program Discovery

Empowered current and prospective students to independently self-source academic choices through the Tri-Discovery framework. This successfully eliminated the drop-off friction commonly associated with opaque administrative procedures.

Operational Efficiency

Elimination of Processing Overhead

Drastically lowered the manual administrative burden on faculty advisors and registrars. Shifting declarations to a structured digital input pattern completely removed legacy manual data-entry errors and signature-routing delays.

Product Success

System-Wide Satisfaction Lift

Post-deployment qualitative feedback indicated an immediate upgrade in user trust and task-success rates. The system proved that accessible, WCAG-compliant design patterns directly scale user onboarding across highly diverse student cohorts.