Ascendia

Ascendia is an AI-powered career discovery app designed to help young adults explore professional paths based on their interests, habits, and personality traits. I joined the project as the lead product designer, responsible for translating the client’s educational vision into an engaging mobile experience. My scope included UX strategy, visual design, prototyping, and user testing.
Ascendia
CLIENt
Role
Product Designer

The Process

Many young adults feel overwhelmed when trying to choose a career path. Traditional career tests feel outdated, too rigid, or disconnected from users’ actual interests. Ascendia wanted to create a more dynamic, engaging experience that encourages exploration while still offering credible guidance.


Research

Developed a Gen Z user persona to understand how they behave, how they think about their future, and how they research.



Studied the educational apps and discovery tools our target users were already using

Developed a strategy to integrate AI in a way that felt intuitive and engaging for our users.

Process / Ideation

I explored different user flows based on Gen Z behavioral patterns. While the client initially leaned toward a chat-based experience, I identified early that this placed too much cognitive load on the user, who had to know what to ask. Instead, I proposed an interaction model based on content reactions, letting the app learn from user behavior.

Key Design Features

A swipe-based discovery flow inspired by TikTok to create familiarity and ease of use

A "Crystal Ball" feature to surface careers the AI predicted for the user if they hadn’t picked any yet

A "Professional Spirit Animal" result that gave users a fun, relatable summary of their traits and possible paths

The Outcome

Testing & Iteration

Due to the AI-powered nature of the experience, we built a functional prototype early. A Figma prototype wouldn’t capture the adaptive behaviors of the system.

We tested in a classroom setting:

  • Students were given the site and asked to explore freely for ~15 minutes
  • No instructions were provided beyond a simple intro
Outcomes:
  • All students understood the interaction pattern immediately
  • They described the design as simple and enjoyable
  • Most noticed the content was becoming personalized
  • Many discovered careers they hadn’t heard of before
  • Students used the chat feature to dive deeper into specific careers
  • Some shared their "Professional Spirit Animal" with others, finding it fun and relatable

Results

  • Strong engagement: users reported feeling "curious to keep exploring"
  • Surprise and delight were common: "I didn’t know that was a career option!"
  • Piloted in high schools as part of career exploration curriculum
  • A white-label version is in development for Texas Tech University and other institutions
  • We are currently working on a second phase that includes detailed career paths based on users’ selected careers. This will help guide them through required skills, education, and potential entry points.

Learnings / Reflection

  • This project taught me how to balance credibility with playfulness. Educational tools can be effective and fun. I also learned how to integrate AI in a way that feels intuitive and rewarding, going beyond a chatbot to build a system that listens, adapts, and responds to real behavior.
next

EasyKnock Financial Estimate Redesign

EasyKnock was a startup offering financial products to help homeowners access the equity in their homes. The legacy financial estimate was confusing and didn’t give customers the tools they needed to understand the product and make an informed decision.