Rec · intro

The Central Bank of Brazil imposed an urgent deadline:implement identity verification to comply with new regulations.

We launched it: on time, compliant, live.But 79% of users dropped off at the critical verification step.

This is how I turned that around: a 357% increase in verification rate.

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A case study documentaryPagar.me · 2022

Background checks and facial biometrics

TL;DR

We launched identity verification on time for a Central Bank of Brazil deadline, then found that 79% of users dropped off at the personal data step. I redesigned the modal to explain why verification mattered before asking users to act. In an A/B test against the original, it lifted the verification rate from 14.47% to 66.25%, a 357% uplift.

+357%

Verification rate

+167%

Modal CTR

−9.6s

Time to convert

2,800+

Merchants verified

Context

I was the only designer, working with product managers, engineering, legal, and marketing to meet the Central Bank of Brazil deadline.

Engineering had limited resources. Legal needed specific language.

There was no room for a robust notification system, so I used an existing modal component and worked with legal and marketing to make the language readable.

The modal could only appear when a user tried to open a financial product, so users who never went there never saw it. We accepted that limit to launch on time without backend changes.

Original version2022

Launched on time to meet the regulation

Finding the real problem

Three months after launch, the modal was underperforming.

I ran funnel analysis, heatmaps, and session recordings to find where users were actually dropping off. The data showed two patterns. Users were either:

  • Closing the modal immediately, treating it like an ad and never starting the flow, or
  • Clicking through without reading, reaching the personal data page without understanding why they were there, then dropping off.

The personal data page had a 79% drop-off rate.

Only 21% of users were reaching the address page.

Verification flow, original version
  1. Modal
  2. Contextualization
  3. Personal data79% drop-off
  4. Address page21% continue
  5. Facial biometrics
  6. Conclusion

The redesign

I had to fix it within the same constraints:

  • It had to stay a modal.
  • No backend changes.
  • The legal language had to stay the same.

Collaborative ideation

I ran a collaborative session with the design team to explore improvements within those limits.

The main goal: increase awareness of why verification mattered before asking users to act.

Collaborative ideation2022

Collaborative ideation board. A banner reads: redesign the modal in a more succinct way and emphasize the need for validation. Below it are sticky notes, photos of four team members, and about ten modal explorations in Portuguese.
It had to stay a modal, with no backend or legal text changes.

Ifthe modal gives enough context and redirects users straight to the first form,

thenusers will better understand the requirement and complete verification at a higher rate.

After a design critique of about ten explorations, we chose the version below.

After
Redesigned verification modal (Portuguese UI). Title: you need to verify your identity. A gray box lists what users need, a phone connected to the internet and an ID or driver's license. It notes it takes less than 2 minutes and offers two buttons: remind me later and start verification.
New version2022
  • Clearer value and actionThe second version states exactly what to do and why, reducing uncertainty and increasing click intent.
  • Lower perceived effort and timeListing concrete requirements and reinforcing the short duration helps users feel the action is fast and low-commitment.
  • Better visual scannability and focusA cleaner layout with icons and tighter grouping makes the key message and the primary CTA (call to action) easier to spot.

The test

When we ran the A/B test, the verification rate in the control group had dropped to 14.47%, even lower than the initial 21%. That became our baseline. The test ran for two weeks, and each variant was shown to 4,000 users.

Success criteria

Verification rate increases by at least 20% compared to the control group.

Baseline
14.47%
Users per variant
4,000
Success criteria
+20%

The results

The test variant moved the verification rate from 14.47% to 66.25%, a 357% uplift, statistically significant (p < 0.001).

Beyond that, other strong results emerged:

Rec

+357%

Verification rate

A/B test
Rec

+167%

Modal CTR (click-through rate)

6% to 16%
Rec

−9.6s

Time to convert

Faster
Rec

2,800+

Merchants verified

First 30 days

The winning modal was rolled out to 100% of users.

End of tape

Want to see how I would approach your product? Let's talk.