Arivo's auto-refinance

Overview

Arivo's auto-refinance is a new product to launched in June '22. It is a product developed to help subprime credit scorers to refinance their auto-loan in less APR% than what they are paying now. Thus, helping them with increased monthly savings and also increasing Arivo's customer base. This is an effort to reach users directly.

Project start : December '21  
Design deadline:
Mid-March '22
UX-Team : UX Team of One and 1-Product Manager
Role : UX Designer
Tools: Figma, Lucid chart , Jira, InDesign, Confluence , Slack

Design process

Research

Refinance is a tiresome process and we are aiming to make this process easy for customers and also for the management to use, maintain, scale and evolve. We began our research with the understanding the goals of the project and discussing about it with stakeholders, based on which we formulated the plan for the user research.

User interviews

Objectives

Participants : 6
Tools : Userinterview.com , Google Meet

How do users shop lenders for auto refinancing?

How do users feel when shopping for lenders?

Empathy mapping

Emotional Journey mapping

Competitive analysis

Objective

Refinancing lenders are chosen for the SWOT analysis based on the insights from the user interviews and from Nerdwallet's top 10 refinancing lenders.

Summary

Theme that we commonly see in terms of value proposition from the market's leading lenders are,

User persona

Userflow

Information Architecture

Lo-fi wireframes

User testing for wireframes summary

Hi-Fi Designs

Usability Testing and Evaluation of the Prototype

From the user testing conducted using the userinterviews.com the following key insights were gathered:

Understanding user mental models

After the design of the desktop and mobile versions of the interface, version testing was conducted to assess the usability and user experience of some global UI elements, including the placement of support panel, get help button for mobile, and various buttons.

The purpose of the testing was to gain insight into the mental model of users when interacting with the interface. The testing was carried out on both desktop and mobile versions to ensure consistency across platforms. Results from the testing were used to refine and improve the design of the UI elements for optimal usability and user experience.

Quality Assurance and Production Inferences

I performed production inferences to verify that the product was developed in accordance with the design standards and to ensure a seamless user experience for the end-users. This was done in collaboration with the QA team to ensure that any bugs or issues were identified and addressed. The process involved testing the product in a live environment to verify that it worked as intended and met the performance and functionality requirements. Additionally, any user feedback was taken into consideration and used to further improve the product. Through the production inferences, we were able to guarantee that the end-product met the required quality standards and provided an optimal user experience.

After launch and next steps

After the initial product launch, we closely monitored the performance of the product using tools such as LogRocket and Google Analytics. Using the insights gathered from these tools, we iterated the design for version 2 of the product, implementing several changes to improve user experience. The changes included modifying the header banner and value proposition banner by removing the carousel and making it more intuitive with support FAQs. We also updated the copy on the vehicle details page and added a confirmation step for the user to select the correct vehicle, which has significantly reduced the number of contracts created for the wrong vehicles. These changes were made to enhance the product's usability, and we continue to monitor its performance and make necessary improvements to provide a smooth user experience.

Version 2 - iteration