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Abdul Alzokm
All case studies

Passafund

Judging a borrower on more than a credit score

A personality assessment feature for a peer-to-peer lending startup, designed to give lenders insight into borrowers that financial history alone does not carry.

The Passafund app on a phone against a blue backdrop, showing the launch screen and the line your online lending marketplace
Role
UI/UX Designer, sole designer on the feature
Team
Solo
Timeline
Internship, 2025
Tools
Figma
Context
Passafund, a peer-to-peer lending startup

The short version

The problem

In peer-to-peer lending a credit score is the whole picture, and it is a thin one. Lenders wanted some read on whether a borrower would actually follow through, and financial history alone does not answer that.

What I did

I designed the personality assessment end to end during my internship, then surveyed lenders and borrowers on the existing concept and rebuilt it around what came back.

  • 4

    Usability findings from the concept survey

  • 75%

    Flagged skipped questions as not visible

  • 68%

    Flagged the dark blue background as confusing

  • 4

    Competitor assessment tools benchmarked

The trust gap

Passafund is a fintech startup working on peer-to-peer lending. In that model an ordinary person makes a call a bank makes with a whole department behind it, and on Passafund they were making it on a credit score and little else.

A credit score summarises a repayment history well. It says much less about whether someone will follow through, which is the thing a lender is actually trying to judge. Passafund wanted a behavioural signal to sit alongside the financial one.

During my internship I was responsible for the complete design of that feature: a personality assessment that gives lenders insight into a borrower without pretending to replace the credit score.

Three ways this could go wrong

A personality test attached to a lending decision is a feature that can do real harm if it is designed carelessly. I set the constraints before drawing any screens.

  • Bias in lending decisions

    Results are framed objectively, avoiding loaded labels, and focus on actionable insight that complements financial data rather than replacing it.

  • Privacy concerns

    Clear communication about how the data is used, and an explicit statement that the assessment is for lender insight only and never visible to other borrowers.

  • Complexity of assessment

    Intuitive interface, plain language and a streamlined flow, so the assessment does not become a hurdle that borrowers abandon.

Who else tried this

To understand the landscape I analysed several existing personality and financial assessments, looking for best practices and for the gap Passafund could occupy.

  • Sun Life

    Educational, aimed at financial literacy. No integration into lending decisions, so it serves self-awareness rather than a lending judgment.

  • Discover

    Self-awareness and personal financial growth. Like Sun Life, it is built for personal insight, not lender assessment.

  • TD Wealth

    Maps financial decision-making styles to support advisor conversations. Advisory-focused rather than linked to a lending decision.

  • Lenddo

    Uses alternative external data, social media and online behaviour, for creditworthiness where traditional systems are thin. Passafund's assessment is more introspective, evaluating traits that shape financial behaviour.

Plenty of financial personality quizzes exist. None are wired into a lending decision the way Passafund intended. That was the opportunity, and also the warning: an assessment nobody else attempts in this context needs to be read as an objective tool rather than a subjective hurdle.

What the survey said

I built a survey and sent it to potential users, both lenders and borrowers, who had used a preliminary prototype of the assessment. The goal was to find out how the existing concept was actually landing.

Two survey charts. Visual appeal and engagement: 45 percent called it simple or average, 30 percent functional, 15 percent lacking engagement, 8 percent confusing and 2 percent appealing. UI clarity issues: 75 percent flagged skipped questions as not visible, 68 percent the dark blue background, 42 percent question highlighting
Visual appeal skewed to simple or average at 45 percent, with only 2 percent calling it appealing. Three UI clarity issues dominated.
01

The dark blue background caused confusion

What changed

Selection feedback rebuilt for consistency, so choosing an answer reads as confirmation rather than a state change the user has to interpret.

What we saw

Multiple users said the dark blue background applied after selecting an answer made the interface feel unclear or inconsistent. The visual feedback for a selected answer was doing the opposite of its job.

  • Multiple users mentioned that the dark blue background after selecting an answer made the interface feel unclear or inconsistent.

    Survey synthesis

02

Progress tracking left people unsure how much was left

What changed

A clearer progress indicator with concrete numbers rather than an abstract bar, so the remaining effort is always legible.

What we saw

Users could not tell how many questions remained. In an assessment people are already reluctant to start, not knowing the length is a reason to abandon it.

  • The progress indicator needs to be more visible and provide concrete numerical context.

    Survey synthesis

03

Question highlighting helped and hurt at once

What changed

Highlighting logic refined so it guides attention without fighting the user, and skipped questions are surfaced clearly enough to return to.

What we saw

The highlighting feature was called out positively for drawing attention, and negatively for being annoying when skipping between questions. Three quarters of respondents said skipped questions were not visible enough.

  • Annoying when skipping between questions.

    Survey respondent

Walking the borrower's path

The user journey focused on borrowers completing the assessment, concentrating on the interactions that mattered most: question selection, visual feedback and progress tracking.

Borrower journey map for Alexa across six stages, discover through apply results, tracking goals, actions, thoughts, pain points, emotions and opportunities. Emotions run from curious and cautious, through slightly confused, to disconnected at the end
Mapping the borrower journey through the assessment to locate the pain points.

Launch

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What fintech design taught me

Proactive risk mitigation. Identifying bias and privacy concerns early, before any screens existed, is what kept this from becoming a feature that quietly penalised people. On a sensitive product that work has to come first.

Small UI issues are not small. A background colour on a selected answer was enough to make the whole interface read as inconsistent. The survey caught something I would not have predicted from the design alone.

Business goals run through user comfort. The feature's purpose was increasing lender confidence, but the only route to it was a borrower finishing an assessment they found clear and fair. Serving one meant serving the other.

Where it would go next

Another round of usability testing on the refined design, to validate the changes and find what the first survey could not. Beyond that: A/B testing the visual treatment and wording against completion rates, a feedback loop with lenders on whether the results actually change their decisions, and monitoring completion rates against lending outcomes.

The honest state of this one is that the redesign answered the survey, and the survey is all the evidence there is so far.