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Finance Lending Protocol to Boost Productivity
Foster the safe trading with understandable reference data
My Role

UX Designer

My Skills & Tool

User workflow, Wireframing, Usability Testing, UX Design, Figma

Meet My Team

Brian Seong, Developer

ZK Lim, Developer

Project Status

To be shipped in Sep. 2024

Project Overview
  • Aleo ZLend provides a unique Web 3 lending experience with understandable reference data

  • Aleo ZLend is a way to borrow and lend cryptocurrency on a trustless basis. This means that you do not need to trust the other party in the transaction. The Aleo blockchain guarantees the security of the loan.

Problem Statement

The transaction process was not intuitive and understandable

Lending platforms must balance compliance with user experience. Regulatory confirmation steps can create cumbersome flows, especially for key transactions. Our focus on clarity streamlines the process, empowering users to easily navigate lending protocols and complete transactions.

Aligning the developers with design thinking on pain points before release

During early testing with 3 team members, 2 encountered usability issues that prevented completing the lending transaction. Only 1 user succeeded. I traced back to assist the 2 users and review edge cases in the lending protocol flow. This incident also provided an opportunity for me to review the lending protocol user flow edge cases on our platform.

When I joined, the team had a product flow but lacked a user perspective. So I led a user journey audit with experienced members to align on pain points, driving further user research.

Research Insight

Relevant parameters must provide safe value references and warnings

Our initial internal version provided extensive data but lacked understandability. The safe value and maximum value are the most crucial reference indicators. While other data is relatively important, users still had to calculate the safe and maximum values themselves. By displaying real-time safe and maximum value indicators, users can save 36% of calculation time.​

Iterations

To understand how different means of indicators presented will make the dashboard more   intuitive and understandable, I came up with different ideas to evaluate the pros and cons of each approach.

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Idea 1
Double-column pop-up window

Double-column window shows up as a pop-up on the screen. This approach is preferred by the internal users because it's as easy and fast as one click. However, there are 3 potential issues with this approach:

  1. It doesn’t show data in one page;

  2. There isn’t a hint for most important indicator;

  3. Users tend to give up calculation because to set a figure to approve is already tiring.
     

Idea 2_ Static indicator reference with

Idea 1: Double-column pop-up window

Idea 2
Static indicator reference with floating action box

To address the reference problem between asset market data and user personal action decision data, I adopted the Static indicator reference with a floating action box approach. This way, I hope to create a feedback collection experience that is more intuitive and understandable.

Idea 2_ Static indicator reference with

Idea 2: Static indicator reference with floating action box

Final Solution

In the end, our team adopted Static indicator reference with floating action box, and clearly marked the threshold prompts and related explanations.

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Takeaways

UX designers still have to tag the key indicators for mature users

We thought that by providing key reference data, users would be able to make trading decisions intuitively, but in fact users will need to be prompted at the threshold level.

© 2024 Developed by Yvonne Yi-Fang Yang with care and dedication

© Copyright Yvonne Yang
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