Under NDA

Context

The project aims to improve the Intelligent Leak Detection(ILD) mobile application used to measure leaks in the HVAC duct system before sealing them.

Target users: HVAC technicians, Leak audit team

Problem

The app faces several challenges that impede its effectiveness and usability, including complex information architecture, cognitive overload, and a lack of error-handling scenarios.

Solution

By diluting the process across multiple screens for clarity and updating the user flow to streamline the process, we simplified the user interface for better usability.

Outcome

A notable 40% reduction in leak detection process time.

Under NDA

Context

The project aims to design a transcript processing system capable of scanning university transcripts and automatically mapping the exact fields digitally, significantly reducing admission processing time.

Target users: University admissions team

Problem

Users had difficulty viewing scanned transcripts, and a lack of indication regarding changes made. Challenges included a high error margin in some scanned transcripts and incorrect mapping of courses within the system.

Solution

Solutions implemented include adherence to UX principles, enhancing visual flow with collapsible sections, and features to retrain the software for specific transcripts to improve accuracy.

Outcome

- Increased efficiency by 65%
- Increased enrollments by 42%

Under NDA

Sia is a chatbot integrated into client websites, primarily universities, serving as a conversational interface for students to interact with.

Target users: Prospective/current students, alumni

Problem

A few options do not comply with UX principles, and there are challenges in locating frequently asked questions (FAQs), resulting in a high drop-off rate.

Solution

Solutions implemented include displaying FAQs upfront, providing suggestions during voice input, and making the user interface interactive.

Outcome

- Improved usability and enhanced aesthetics
- Reduced drop-off rate
- Easy-to-understand voice/text inputs