Studio

Project Studio is a suite of machine learning tools designed for generating 3D assets. Users create, edit, modify, and export assets for games, avatars, and other 3D applications. The toolset within the Project Studio application is envisioned to address all stages of 3D asset creation, starting from 3D modelling and textures to extending capabilities to rigging and animation.

Studio

Project Studio is a suite of machine learning tools designed for generating 3D assets. Users create, edit, modify, and export assets for games, avatars, and other 3D applications. The toolset within the Project Studio application is envisioned to address all stages of 3D asset creation, starting from 3D modelling and textures to extending capabilities to rigging and animation.

Studio

Project Studio is a suite of machine learning tools designed for generating 3D assets. Users create, edit, modify, and export assets for games, avatars, and other 3D applications. The toolset within the Project Studio application is envisioned to address all stages of 3D asset creation, starting from 3D modelling and textures to extending capabilities to rigging and animation.

My role

UI / UX Designer

Responsability

UI / UX Design
Wireframing
Prototyping

Year

2023
2024

Preview

01

Problem

Mastering 3D can be quite challenging, both in learning and creation. Current generative AI tools don’t allow an interactive/collaborative experience with the AI.

02

Solution

The flexibility to either create 3D assets from scratch or begin with existing assets. Users can seamlessly edit and modify generated or imported assets using machine learning algorithms that cater to their specific style preferences. This enables users to quickly achieve high-quality, style-consistent results while expediting the 3D asset creation process.

Research

01

Understanding Users

To truly understand our users, we immersed ourselves in their environments. We conducted detailed interviews, observed their workflows, and gathered insights into their pain points and aspirations. John, a game developer, expressed frustration with the time-consuming nature of tweaking models. Emily, a digital artist, needed a more intuitive rigging tool. Alex, a 3D generalist, wanted a unified platform that didn’t require switching between multiple software.

This in-depth research highlighted the need for AI-driven features that could automate repetitive tasks, customizable interfaces to fit individual workflows, and collaborative tools to enhance teamwork. Our goal was to create a toolset that would be both powerful and easy to use, tailored to the specific needs of our diverse user base.

02

Competitive Analysis

Understanding the competitive landscape was essential in positioning Project Studio as a leading tool in the 3D asset creation market. We evaluated several existing tools, including Blender, Autodesk Maya, and ZBrush, to identify their strengths and weaknesses.

Our competitive analysis revealed clear opportunities for Project Studio. By offering an intuitive, user-friendly interface and integrating AI-driven features to automate repetitive tasks, we could address the usability issues found in Blender and Maya. Additionally, by providing a comprehensive toolset that doesn’t require switching between different applications, Project Studio could streamline workflows and reduce the learning curve compared to ZBrush.

Exploration

01

Mapping the User Flow

We want Project Studio to be a comprehensive, end-to-end solution with powerful AI-driven features. That is why we meticulously mapped out the user flow—to ensure we fully understood how users would interact with every aspect of the app. This approach is crucial for creating an intuitive, efficient user experience that meets the diverse needs of our users. Additionally, it helps us stay organized and prevents the app from becoming overstuffed with unnecessary features.

02

Sketches & Prototypes

The design process began with initial sketches to explore various concepts. These sketches provided a visual foundation and facilitated discussions around different design ideas. From there, we created low-fidelity wireframes to outline the user flow and core interfaces. These wireframes were then developed into high-fidelity prototypes, capturing the look and feel of the final product. We conducted usability testing, inviting users to perform specific tasks such as creating a model or applying textures. This testing was crucial in identifying usability issues and areas for improvement.Users provided invaluable feedback during these sessions, helping us refine the design iteratively.

The Product