Educating people of beginner and intermediate financial literacy levels by providing approachable learning.
Year
2024 Spring
Role
Research, design
Team
Self + 2 UX designers
Context
Mobile app
Through our research, we discovered that individuals under 35 who self-report as being at a beginner or even an intermediate level of financial literacy share many common difficulties and behaviors in their financial knowledge-seeking, such as struggling to find and apply appropriate knowledge due to poor basics.
Accordingly, we developed a set of research-derived requirements and centered every iteration on those requirements, creating Focal: an educational app for building foundational financial literacy targeted at young adults.
Relatively few young adults are given formal training on financial topics; financial literacy tends to come with age, but financial understanding is often most crucial at a young age, when important decisions regarding the future must be made. As such, our project’s primary goal is to address the gaps in users’ financial fluency and empower them to make independent, informed decisions in the financial sphere.
After conducting secondary research, we conducted primary research with 149 survey respondents and 14 interviewees.
Following analysis of our interviews and survey, we determined five key themes.
People seek out information from friends and family; in their absence, they tend to rely on social proof
People lack knowledge and experience in financial domains; they find the terminology and jargon difficult, seeking quick and easy answers
People do financial tasks because they must, not because they want to
There is substantial variance in opinion on what makes a resource engaging or a person/thing credible
Education isn’t the same as advice; people don’t welcome unsolicited advice, highly valuing their autonomy
Based on our research, we generated a set of prioritized requirements. M is highest priority, descending priority to W.
Our lo-mid wireframe incorporates all requirements as determined by our research. The features corresponding to Mo and S are shown here; these are the base functionality of self-selectable educational content as presented in onboarding and in the dashboard, alongside the carefully designed AI feature, which is specifically bounded to prevent it from overtaking core app functionality.
We reviewed our initial concept with an internal heuristic analysis, identifying the following key considerations. These and others helped form our design system.
Icon consistency needed improvement
Sizing and justification of labels needed consistency
Needed inclusion of back & close functionality
With these and other considerations in mind, we iterated again. This iteration was additionally used for unmoderated first-click testing.
We issued seven tasks to thirty participants. The tasks were issued in random order. The results of our FCT led us to reconsider the structure of our pages, clarifying information architecture and hierarchy throughout the app. We achieved this by changing the size of various elements in addition to introducing some clarifying attributes to those elements.
With the results of our FCT and heuristic evaluation, I made significant contributions to setting up the group’s design system based on group discussion, which included interactive elements and elements with alternative styling options. Some are shown here.
With our hi-fi clickable prototype, we conducted moderated usability testing. We systematically logged our results in a Google Sheet, prioritizing issues with the highest criticality ratings and making prototype modifications–like accessibility options and quick select options–according to the following findings.
Older users struggled to see some font size, suggesting the need for accessibility options
Users had an established mental model for tapping a profile picture to initiate editing
Some users wanted to select all available options in onboarding, for which there was no option
Focal aspires to fill in the gaps many young adults find in their financial education by providing a personalized experience that enables them to choose courses of interest; users may seek clarification from the app's financial AI assistant or from real people using the app. The app reinforces its own features and prevents over-reliance on the AI chat feature by providing quick-select options in addition to suggesting relevant courses and community topics where topical.
The onboarding flow introduces users to the AI buddy, Zeke, and collects some basic information about the user to personalize their course recommendations, dashboard, and learning experience. Users are provided a curated list of starter courses based on the information they’ve provided.
After onboarding, users are brought to their dashboard, which shows enrolled courses, relevant news, and relevant resources. These are personalized based on both onboarding information and user interaction within the app. This tab furthermore acts as the home tab and landing page for returning users.
Users can see all their enrolled courses and all courses they have previously completed in the courses tab. Users may also browse for new courses in this tab by directly searching a course name and/or keyword or by selecting a category. Users may additionally apply filters to sort by likes, views, and relevancy, as well as filtering by topic, total time obligation, or relative difficulty level.
After selecting a course but prior to starting a lesson, users are shown an overview indicating the number of units and the time obligation of the unit. Individual units contain a variety of content, from videos to definitions to quizzes to small games. Users can save notes and definitions, which can be later revisited in the user’s profile; furthermore, when completing a unit or a course, users may ask Zeke clarifying questions.
In the profile, users can manage settings, view saved resources, track engagement metrics like learning streaks and completed courses, and see earned achievements. It provides a holistic overview of user activity and accomplishments within the app.
The community tab enables users to engage with both fellow users and real-world professionals. It features two sections: Professional Insights, where industry experts share their expertise, and the Forum, where users can discuss and ask questions. Users can interact by liking, replying, and commenting.
Zeke is an AI buddy feature which addresses the unique needs of individual users. We carefully considered the behavior of the AI buddy to prevent it from overtaking other app functionality. While users can use it at will, we've implemented boundaries to maintain a balance between it and the app’s other functionalities. For some questions asked by the user, instead of functioning as a pure chatbot, Zeke will direct users to features of the app, such as the community or specific course pages.
The timeline for the project was very condensed for design compared to research and evaluation; despite that, I’m fairly proud of the overall design and design system we created for it.
Given a little more time to spend on this project, these are the things I’d love to do: