Ai Testing
ratl.ai/studio
(2024-2025)
Project Overview
Leading the full designing experience for ratl.ai, from concept to interface, as a seamless, visually immersive,
and engaging product
SaaS
Web
B2B
Role
Lead Designer
Services
Ux Design | Visual Design | Design system | Product Testing
Context
ratl.ai is a next-generation platform that empowers engineering teams with autonomous AI agents to handle software testing workflows from API tests, functional and UI tests, to load testing. The aim: reduce manual effort, accelerate releases, and build confidence in continuous delivery
Challenge
Software testing is critical but often painful:
• Complex technical backend, but required a clean frontend experience
• Need for transparency: users must trust what the “agent” is doing
• Tight timeline and lean resources meant design needed to scale and reuse across modules
This complexity often delays releases and frustrates both developers and QA engineers
My role
For this project, I collaborated closely with the core team. I led the design process from research, ideation, testing to final handoff. We maintained regular feedback loops to align on goals, address challenges and deliver a product that met the user needs
Opportunity
With ratl.ai, the vision was to design a product that feels less like a tool and more like a teammate. An AI agent that:
• Understands codebases, generates and runs tests
• Surfaces results in a clear and actionable way
• Integrates seamlessly with CI/CD pipelines
• Builds trust by making its actions transparent
For this vision to resonate, the product experience needed to be just as intelligent as the underlying technology: clear, immersive, and confidence-inspiring
Manage everything in one place
I proposed a centralised dashboard that consolidates all testing functionalities into one cohesive space, reducing complexity and enabling users to control their entire workflow effortlessly from one place
/Studio
Visualizing the Testing Journey
The goal was to build a space where users could observe automation in real time understanding not just the outcome of a test, but the journey of how it reached that outcome. This interface bridges the gap between technical automation and visual clarity, empowering QA engineers and non-technical users alike to collaborate and debug efficiently
Streamlined Monitoring for Testing Cycles
The goal was to simplify the process of tracking, reviewing, and managing test results. By centralising all execution data, users can quickly evaluate test outcomes, monitor ongoing runs, and identify potential issues without navigating through multiple screens
Active Users in Workspace
The goal of this section is to make workspace activity more visible and accessible, reducing communication gaps and encouraging a more connected workflow
Integrations- Streamlining Collaboration
The goal was to simplify setup, reduce context switching, and create a unified experience where users could manage notifications, track progress, and communicate seamlessly
Read Next
Ai Testing
ratl.ai/studio
(2024-2025)
Project Overview
Leading the full designing experience for ratl.ai, from concept to interface, as a seamless, visually immersive,
and engaging product
SaaS
Web
B2B
Role
Lead Designer
Services
Ux Design | Visual Design | Design system | Product Testing
Context
ratl.ai is a next-generation platform that empowers engineering teams with autonomous AI agents to handle software testing workflows from API tests, functional and UI tests, to load testing. The aim: reduce manual effort, accelerate releases, and build confidence in continuous delivery
Challenge
Software testing is critical but often painful:
• Complex technical backend, but required a clean frontend experience
• Need for transparency: users must trust what the “agent” is doing
• Tight timeline and lean resources meant design needed to scale and reuse across modules
This complexity often delays releases and frustrates both developers and QA engineers
My role
For this project, I collaborated closely with the core team. I led the design process from research, ideation, testing to final handoff. We maintained regular feedback loops to align on goals, address challenges and deliver a product that met the user needs
Opportunity
With ratl.ai, the vision was to design a product that feels less like a tool and more like a teammate. An AI agent that:
• Understands codebases, generates and runs tests
• Surfaces results in a clear and actionable way
• Integrates seamlessly with CI/CD pipelines
• Builds trust by making its actions transparent
For this vision to resonate, the product experience needed to be just as intelligent as the underlying technology: clear, immersive, and confidence-inspiring
Manage everything in one place
I proposed a centralised dashboard that consolidates all testing functionalities into one cohesive space, reducing complexity and enabling users to control their entire workflow effortlessly from one place
/Studio
Visualizing the Testing Journey
The goal was to build a space where users could observe automation in real time understanding not just the outcome of a test, but the journey of how it reached that outcome. This interface bridges the gap between technical automation and visual clarity, empowering QA engineers and non-technical users alike to collaborate and debug efficiently
Streamlined Monitoring for Testing Cycles
The goal was to simplify the process of tracking, reviewing, and managing test results. By centralising all execution data, users can quickly evaluate test outcomes, monitor ongoing runs, and identify potential issues without navigating through multiple screens
Active Users in Workspace
The goal of this section is to make workspace activity more visible and accessible, reducing communication gaps and encouraging a more connected workflow
Integrations- Streamlining Collaboration
The goal was to simplify setup, reduce context switching, and create a unified experience where users could manage notifications, track progress, and communicate seamlessly
Read Next
