Saving 25,000 Professor Hours

Saving 25,000 Professor Hours

Saving 25,000 Professor Hours

My Role

Lead Product Designer

Team

Lexi Harris, Design Manager

Tools

Figma

timeline

2024-2025

Description

Pathify is BYU–Idaho’s faculty portal, designed to centralize tools and workflows into a single home.

Context

Shortly after launch, faculty adoption dropped and frustration increased, prompting a focused effort to uncover why and improve the experience.

If you only have 45 seconds…

If you only have 45 seconds…

Problem

Professors hated the newly launched faculty portal, but no one knew why. Usage was dropping, feedback was negative, and the root cause was unclear.

What I found

Through research, I discovered the issue wasn’t the tools themselves, but the navigation. The organization didn’t match how faculty think or work. Midway through the project, I also learned this was the only part of the system I could change.

Solutions

I focused entirely on fixing the navigation, redesigning the left navigation by reorganizing 130+ tools into faculty-centered categories, renaming sections to reflect real workflows, and surfacing frequently used tools through personalized shortcuts.

Results

Tool-finding time dropped by 82%, user satisfaction increased by 40%, and the university reclaimed an estimated 25,000 hours annually.

Problem

Adoption collapsed, but the cause was unclear

The portal was intended to streamline daily workflows for faculty, but instead it became a barrier.

  • Faculty actively avoided the portal

  • Usage data showed steep drop-offs

  • Feedback was blunt: “I spend more time finding the tool than using it.”

Despite a large financial investment in the platform, no one could explain why adoption failed. I was tasked with finding the root cause and fixing it.

Discovery and research

Learning from professors!

I interviewed faculty about their daily responsibilities, the tools they rely on, and where friction shows up and then asked how the portal supported that work. I took the same number of professors from each college to reduce bias.


I validated these insights with six months of clickstream data to see what professors were actually using.

0

Interviews

0

Insights

0

Months Analyzed

Key insight

Despite having access to over 130 tools, the majority of faculty usage consistently clustered around the top 10.

And they consistently asked for easier access to those tools.

The Solution

A system that aligns with how admins think

We wanted this interface to be easy, and quick. Admins don't have an in-depth business knowledge, the same as credit analysts do. We built a solution giving them confidence in what they were doing and powering the front end

01.

01.

Navigation for faculty mental models and language

Navigation for faculty mental models and language

I reorganized 130+ tools from 15 vague, system-driven categories into 7 clear, faculty-centered ones, and rewrote navigation labels to reflect how professors naturally describe their work and workflows.

Strategic Impact:

Established a shared mental model across departments

Established a shared mental model across departments

Established a shared mental model across departments

Increases confidence and alignment between admins and credit analysts

Increases confidence and alignment between admins and credit analysts

Increases confidence and alignment between admins and credit analysts

02.

02.

Surfacing quick access to most used tools

Research showed that most faculty activity centered around a small number of tools. I introduced a shortcuts section that was preloaded with the most-used tools.

Strategic Impact:

Reduced time spent searching for favorite tools

Reduced time spent searching for favorite tools

Reduced time spent searching for favorite tools

Lowered cognitive load by hiding rarely used options

Lowered cognitive load by hiding rarely used options

Lowered cognitive load by hiding rarely used options

The outcome

A system designed for confidence and scalability

What started as a widely disliked portal became a tool professors could use quickly and confidently. By aligning navigation with faculty mental models and surfacing quick access to the tools they rely on most, we had:

82% faster tool finding

82% faster tool finding

82% faster tool finding

40% increase in user satisfaction

40% increase in user satisfaction

40% increase in user satisfaction

~25,000 hours saved annually

~25,000 hours saved annually

~25,000 hours saved annually

Retrospective

What I learned

  • Constraints force focus. Improving one surface—the navigation—delivered the biggest impact.

  • Behavior validates intent. Click data confirmed what interviews suggested and guided confident decisions.

  • Small wins scale fast. Seconds saved per task turned into thousands of hours and hundreds of thousands of dollars reclaimed.