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
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participants abandoned enrollment instead of returning to resolve issues, the resolution process was confusing and outdated, and manual reviews drove up operational costs significantly.
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.
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.
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.
Happy path — complete enrollment flow across all three phases
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
01
"In fast-moving markets, testing solutions in-market can be advantageous if you have development capacity to iterate quickly."
02
"Ground work in specific goals over lengthy requirement documents. For every decision, ask if it will move the needle to meet your goal."
03
"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."