UX Design

Aurora

CLIENT
Bay Area Small-Shop CPAs
Project TYPE:
UX Design
Project YEAR:
2024

This startup aimed to help small-shop CPAs in the Bay Area grow their businesses and save hours of time they spend on managing clients (emails/calls to submit tax documents, answering general tax questions, etc.) through our AI assistant, which is easily integratable with existing tax softwares.

I designed the web and mobile interfaces for this project, developed a demo video to promote to clients, and conducted 50+ interviews personally with users through cold calls and email outreach, video calls, and LinkedIn.

Empathy Map Synthesizing Common Sentiments of User Interviews

Needfinding: 120+ User Interviews

Our team conducted 120+ interviews with various different people that could be potential users of our service including immigrants to the U.S., gig workers that use CPAs and qualify for specific tax deductions, and finally 50+ CPAs that were looking for some client management solution during the busy tax season. For outreach, we used cold emails and cold calls, warm lead intros, LinkedIn intros, and in-person visits.

The purpose of conducting multiple interviews was to identify and verify user pain, as a solution offered that either doesn't sufficiently address the user's needs or isn't an actual need that needs to be addressed will not grow successfully. I organized all of the interviews we conducted as a team into an user empathy map to clearly understand the target user perspective.

This design brainstorm made it clear that in terms of user pain and feasibility, a product to help busy CPAs manage clients without active intervention was the most desirable, so my following designs were all aimed at solving this problem.

Storyboarding Main User Workflow of Aurora

Low-fi Prototyping: Storyboarding & Wireframes

After we pivoted to building tools that help CPAs manage client communication, we had to ship a product that we could pitch to potential CPAs users for feedback.

Using the user interviews we conducted that identified the key pain points CPAs wanted to be addressed, I led another design brainstorming session with my team where we individually thought of solutions and then came together to agree on the key features that would be vital to include in the product UI.

With these features in mind, I started storyboarding a low-fidelity product of the main workflow- helping CPAs manage which documents their clients have submitted and detect whether there are any issues with the submission. Gathering feedback from my team, I iterated on the wireframes before beginning to prototype on Figma.

Med-Fi Prototyping: Responsive Interactions on Figma & Product Demo Video

Utilizing the low-fidelity prototyping wireframes and additional information I collected from user research, I developed a Figma prototype with the goal of an intuitive and modern user interface where all information is easily accessed at a glance. As CPAs do not have much personal time to learn how to use a whole new product during the tax season, it is crucial that the product not require heavy onboarding and be easy to integrate into their existing workflows.

Aurora addressed these user needs by introducing an AI Assistant which detects incomplete client information from tax documents, directly messages clients to request the necessary documents, and securely exports the submitted documents to CPA tax filing softwares all without their direct involvement. I developed the working prototype into a short demo concept video that we shipped to users for the purposes of gathering further design feedback to iterate before officially selling the product.

CPA vs Client Perspective Workflows
AI Document Scanner to Detect Missing/Incomplete Information

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