RagaAI Prism is an advanced AI testing platform designed to accelerate AI development by 85-90%, while reducing risk exposure in production by 97%. With automated issue detection, root cause identification, and tools that empower users to efficiently resolve problems, RagaAI Prism streamlines the entire AI lifecycle.

This multi-modal platform supports diverse AI applications, including Computer Vision, Generative AI Large Language Models (LLM) / NLP, and Structured Data Applications, making it a comprehensive solution for testing and optimizing AI systems across industries.

Timeline From initial explorations to final designs in 24 weeks while working with multiple tests at the same time.

Background AI testing tools are often overly complex, with confusing workflows that waste time and fail to provide key insights to data scientists. To address this, I worked closely with data scientists to redesign the entire process, transforming complexity into simplicity and ensuring that critical information is easily accessible for faster, more effective testing.

##### OLD VS. NEW | PRISM

The evolution from RagaAI Prism’s MVP (left) to the newly designed version (right) showcases a transformation in user experience, bringing enhanced clarity and functionality to the interface.

##### TEST VIEW | PRISM

RagaAI Prism's test view screen offers a clean, intuitive interface that highlights key test details, making AI-driven testing seamless and easy to navigate.

##### IDEATION | PRISM

Collaborative ideation and whiteboarding sessions with the team laid the foundation for RagaAI Prism's design, blending diverse insights to create a user-centric AI testing platform.

##### WIREFRAMING | PRISM

Early wireframes served as a crucial tool for aligning with stakeholders, facilitating feedback and shaping the core structure of RagaAI Prism's design.

##### WIREFRAMING | PRISM

The early wireframes captured comprehensive use cases and personas, ensuring RagaAI Prism's design addressed the diverse needs of its users from the outset.

##### ELEMENTS OF DESIGN | PRISM

An exploded view of the design elements emphasizes the critical role of graphs and visual data, showcasing RagaAI Prism’s focus on delivering actionable insights at a glance.

Each phase of RagaAI Prism's development—from User-Centered Research and Design Strategy to Prototyping, Implementation, and Continuous Optimization—focused on simplifying workflows, enhancing usability, and empowering data scientists to test AI models more efficiently and effectively.

User-Centered Research & Insights I conducted in-depth research by engaging directly with data scientists to understand their frustrations with existing AI testing tools. This helped us identify pain points such as convoluted workflows, lack of clarity in error detection, and inefficient troubleshooting processes.

Conceptualization & Design Strategy Based on our insights, we developed a design strategy focused on simplifying the user experience. Wireframes and prototypes were created to map out a streamlined flow that reduces complexity and prioritizes essential information, ensuring users can act swiftly and confidently.

Prototyping & Iteration We built interactive prototypes to visualize the new design approach. Through iterative testing with real users, we continuously refined the interface, adjusting key elements to ensure intuitive navigation and effective problem-solving.

Development & Implementation Collaborating with the engineering team, we brought the design to life, integrating it seamlessly with RagaAI’s powerful back-end infrastructure. The focus was on maintaining a balance between functionality and usability, ensuring the platform was scalable and adaptable for various AI applications.

Continuous Testing & Refinement Post-launch, we rigorously tested the platform with real-world data to ensure it met performance goals. Ongoing feedback loops with users allowed us to fine-tune and optimize both the UI and the underlying AI testing workflows, ensuring continuous improvement.