UX Design Fintech Lead Designer

Workplace benefit enrollment
redesign to increase auto-verification

After Fidelity Investments lost its automated loan verification partner to legislative changes, I redesigned the Student Debt Retirement enrollment flow from the ground up — guiding users to the right documents, extracting data automatically, and providing real-time feedback in-flow.

60%

increase in loan auto-verification rates

30%

increase in enrollment success rates

5 days

manual ops review eliminated for most users

0

loan servicer name typos after Phase 2

Defining the space

01

The Problem

Fidelity lost its automated loan verification partner due to legislative changes, disrupting the student debt benefit enrollment process. When uploaded documents failed verification, they were sent to a manual review team with a 5-day response time via chat.

This created three critical issues: participants abandoned enrollment instead of returning to resolve issues, the resolution process was confusing and outdated, and manual reviews drove up operational costs significantly.

The Problem visual
02

The Challenge

As the market leader in student debt workplace benefits, Fidelity faced mounting pressure as enrollment rates dropped and operational costs threatened profitability. The business model — priced per enrolled participant — made every abandonment costly.

But clients were also vocal about enrolling the right participants. The solution needed to guide users to correct documents, extract loan data automatically, and provide real-time feedback — all while getting to market quickly to meet key enrollment KPIs.

The Challenge visual

Process

03

Alignment & Strategy

I started by meeting with stakeholders to understand business challenges and align on a shared vision. From there, I developed a phased experience strategy that balanced business needs with user goals.

Frequent touchpoints with technology and business partners kept momentum. Given the fast-moving environment, I ran a high-intensity discovery phase — auditing existing work, reviewing the competitive landscape, and exploring technical feasibility — simultaneously.

04

Our goals

Increase auto-verification rates
Improve enrollment completion
Reduce drop-off and timeouts
Our Goals visual
05

Research & Analysis

Analyzed how competitors handled similar legislative changes
Reviewed existing research revealing two key pain points: users didn't understand the benefit's purpose and struggled to find correct documentation
Synthesized themes from post-enrollment surveys
Analyzed behavioral data to pinpoint drop-off points and bottlenecks
Mapped the existing end-to-end experience to highlight friction points and opportunities for improvement
Research mapping: pain points, opportunities, and insights across benefit comprehension, loan verification, and finding loan documentation
06

Vision

Through collaborative workshops with technical and business partners, we identified 3 key solutions to improve the user experience, meet internal goals, and address client concerns.

Our vision was to guide users to correct documentation and provide immediate feedback when loan verification failed, while displaying extracted data to eliminate manual entry.

Vision visual

Key solutions

1 / 3

Phase 01

Upfront Guidance

Interactive tracker Connected plan link Benefit fit Document requirements

Our previous guidance page had large text blocks users likely skipped. Working with our enterprise patterns team, we designed an interactive component to encourage engagement with key information: benefit fit and document requirements.

Impact: We added more content to the page, but changed how we presented it, receiving positive client feedback: "Appreciate that Fidelity is being intentional about enrolling the right fit participants, not just increasing enrollment numbers."
+12% automation increase within two weeks.

Phase 02

Personalization

Loan servicer tile selector Inline microcopy Fidelity design system

We moved guidance inline with the upload action. A loan servicer tile selector standardized the top five lenders covering 90% of loans, plus a type-ahead for others. Each servicer triggered lender-specific formatting instructions and account number guidance.

Impact: Two weeks post-launch, loan servicer name typos dropped to zero and account number failures fell by 60%.
+22% additional automation increase (34% cumulative).

Phase 03

Feedback Loop

PDF data extraction Real-time correction AI-proof architecture

We implemented real-time PDF data extraction — displaying extracted loan data back to users and instantly flagging missing or incorrect fields. Users could self-correct documents within the flow, with sample documents highlighting required fields and steps to find the right paperwork.

Impact: The 5-day manual operations review was eliminated for the vast majority of participants, dramatically reducing both abandonment and operational cost.
60% / 30% total verification lift / enrollment success lift.

In market

Happy path — complete enrollment flow across all three phases

Three phases.
Real outcomes.

60%

increase in loan auto-verification rates

30%

increase in enrollment success rates

5 days

manual ops review eliminated for most users

0

loan servicer name typos after Phase 2

"Appreciate that Fidelity is being intentional about enrolling the right fit participants, not just increasing enrollment numbers."

— Client feedback, Phase 1 launch

Key Learnings

Three things I'd take into every project from here.

01

Test in Market

"In fast-moving markets, testing solutions in-market can be advantageous if you have development capacity to iterate quickly."

02

Goals Over Requirements

"Ground work in specific goals over lengthy requirement documents. For every decision, ask if it will move the needle to meet your goal."

03

Vision First

"Starting a project with technical restraints, even in a time crunch, can be limiting. Start with the best solution for the user, then scale back to what is achievable now."

Next project

Benefit Management Dashboard Redesign

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