The Why

Accu3dx offers five dedicated treatment modules, allowing patients to explore specific treatment options such as aesthetic procedures or orthodontics. While some patients visit with a clear treatment goal, many begin their journey simply wanting to consult with a doctor before deciding on the most suitable treatment.


Opportunity

Instead of using the facial photo session solely to support a single consultation, what if we could use the same data (five facial photos captured from different angles) to generate personalized treatment proposals across multiple treatment categories?

The How

During the discovery phase, the Product Manager defined the product requirements, documented the technical architecture, and aligned stakeholders, clients, and engineers on the project scope.


To establish a clear MVP, we identified the highest-impact workflows for each user role. By focusing on their core jobs-to-be-done, we were able to validate the concept quickly while keeping the initial implementation focused.

Users

Primary needs

MVP feature

Clinic staffs

Register patients, collect consultation information, and capture facial photos.

Consultation form & photo session

Doctors

Review AI-generated analysis and discuss treatment options with patients.

Result analysis view & simulation.

Patients

View personalized treatment recommendations.

Value

The What

Register the patients

The registration experience was designed to help clinic staff complete consultations consistently while capturing all required patient information in a single workflow.


Reduce implementation effort → reused familiar form patterns, allowing engineers to build it efficiently and maintain consistency.


Dedicated facial photos modal → This allows staff to focus on one task at a time, reducing cognitive load and minimizing the chance of incomplete or missing photo data before continuing the consultation.

Analysis Result

The system generates five different analysis reports, each containing unique insights for treatment planning. Presenting everything at once would overwhelm users, so I organized the experience into 5 tabs.


Visual Analysis presents facial images, measurements, and highlighted regions, allowing doctors to quickly identify key observations.


Explanation provides contextual descriptions that help doctors communicate the findings and treatment recommendations to patients.


A consistent set of face-shape icon illustrations, I used ChatPGT to generate the set. These icons reinforce

For the Virtual Simulation view, I used distinct RGB color overlays to differentiate facial regions such as the eyes, nose, and mouth. The contrasting colors make each treatment area immediately recognizable, allowing doctors to identify simulated changes quickly without relying solely on labels or detailed explanations. This improves visual scanning and reduces interpretation time during consultations.

Treatment Planning

The patient experience builds upon the same analysis used by doctors, but is simplified for a non-clinical audience. Instead of exposing every analysis tool, the interface focuses on helping patients understand their treatment options and recommendations.


By sharing a common design foundation, doctors and patients can discuss the same treatment plan using a consistent structure, improving communication without overwhelming patients with advanced clinical tools.

Reflection

This project changed how I think about presenting complex information. Rather than relying on text alone, I learned to use visual cues, illustrations, and structured layouts to help users identify key observations more quickly. Also, reduce the cognitive effort while understanding the analysis.

Thanks for reading!