
The JUPAS (Joint University Programmes Admissions System) process in Hong Kong is highly competitive and multi-phased. Our goal was to assist students in selecting courses where they have the highest acceptance chances.
Initial assumptions suggested the main challenge was information overload. However, user interviews with 8 DSE students revealed a more critical, emotional hurdle:
The primary bottlenecks were not information-based, but psychological and strategic:
Our design strategy focused on transforming uncertainty into a structured, proactive planning experience.
Guide students to establish a rational starting point by systematically balancing feasibility and aspiration.
We introduced a mandatory Two-Step Approach to ensure students grounded their choices in reality before exploring interests:
Directly address the 33% who lack preparedness by normalizing planning for varying outcomes.
We enabled users to create and save three distinct, pre-vetted plans for immediate activation during the 24-hour decision window:

Based on usability studies and user suggestions, we implemented critical features and design adjustments to improve efficiency and reduce friction during high-stress moments:
1. Speedy Data Entry:
To drastically accelerate the process on DSE results day, we prioritized exploring a mobile camera scan feature for instant result slip data entry, addressing user demand for efficiency.

2. Information Density:
We introduced a condensed 'short-list' layout option for best-match programs, addressing feedback that the initial lengthy list was overwhelming and slowed down quick decision-making.

3. Feature Visibility:
We increased the usage of the critical comparison tool from 8% to 35% by replacing a static menu button with a Floating Action Button (FAB).

To address the documented Emotional Stress and Decision Fatigue, we employed a supportive Color Strategy.












The DSE Calculator app has shown promising results, with approx 11,200 registrations at launch—capturing one-fourth of the DSE student population—and receiving positive user feedback. However, only 33% of users engaged in pre-planning. To address this, we need to explore strategies to promote the value of early planning. I believe this behavioral shift will develop gradually over time.