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Product Design · Fintech · Lead Designer

Workplace benefit enrollment redesign to increase auto-verification

Fidelity lost its loan verification partner, so I reframed enrollment as a read-back: show us your loan, we read it back instantly. The result: 60% more loans auto-verified and no 5-day wait for most participants.

Jump to the design
60%
Increase auto-verified loans
30%
Increase enrolled participants
5 days
manual review removed for most
0
servicer name typos
Benefit enrollment redesign preview: the get started page with upfront guidance, the servicer selector, and the enrollment confirmation

TL;DR

THE PROBLEM

Fidelity lost its automated loan verification partner. Failed documents went to a 5-day manual review, and enrollees dropped off.

WHAT I DID

Reframed enrollment as a read-back: you show us your loan, we read it back instantly. Shipped in three phases: guidance, servicer selection, then the feedback loop.

WHAT CHANGED

More loans verified automatically, more people finishing enrollment, and the 5-day manual review gone for most.

01 · CONTEXT

What broke, and why it mattered

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.

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.

Lost data Ops cost Users can’tfind Enrollees lost aggregationpartner goes up the rightdocuments to a 5-day review
  1. Lost dataaggregation partner
  2. Ops costgoes up
  3. Users can’t findthe right documents
  4. Enrollees lostto a 5-day review

02 · HOW I FRAMED IT

From submit-and-wait to a read-back

Participants treated enrollment like mailing paperwork: upload something, then wait days to learn if it worked. That model hid every mistake until it was too late to fix. I reframed it as a conversation: you show us your loan, we read it back to you instantly, and you fix anything that's off before you leave. Guidance, servicer selection, and PDF extraction all serve that one idea. We ruled out adding more instructions up front, because users skipped text they couldn't act on yet.

I aligned partners on three goals (raise auto-verification, lift completion, cut drop-off) and a phased plan that shipped value every few weeks: guidance first, then servicer selection, then the feedback loop.

FEEDBACK LOOP 5-day manual review Beginenrollment Upload adocument Correct it in theflow See what’smissing Enrolled! The old path when adocument failed Extracted data,read back No 5 daywait anddrop off FEEDBACK LOOP 5-day manual review Begin enrollment Upload a document See what’s missing Correct it in the flow Enrolled! The old path when a document failed Extracted data, read back No 5 day wait and drop off

03 · KEY SOLUTIONS

One enrollment, four moments

Follow one participant through enrollment. Each moment shows what broke, what I tried, and what it changed.

Upfront Guidance

What was wrong

Our previous guidance page had large text blocks users likely skipped.

What shipped

Working with our enterprise patterns team, we designed an interactive component to encourage engagement with key information: benefit fit and document requirements.

+12%

automation increase within two weeks

ShippedPlays the prototype video on the site (paused until played).

What I triedFrom where we started to what shipped · select one to preview it

04 · OUTCOMES

How the results built

Each release raised auto-verification on its own. Together they got 30% more people through enrollment and removed the 5-day manual review for most of them.

Auto-verification lift, cumulative 0%20%40%60% +12%+34%+60% +30% enrollment 01Before you start 02Add your loan 03Fix it in the flow 04Enrollmentconfirmed Auto-verification lift, cumulative 0%20%40%60% +12%+34%+60% +30% enrollment 01Before youstart 02Add yourloan 03Fix it inthe flow 04Enrollmentconfirmed
MomentResult
01 Before you start+12%
02 Add your loan+34% cumulative
03 Fix it in the flow+60% cumulative
04 Enrollment confirmed+30% enrollment

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

Client feedback, Phase 1

05 · 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."

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