Studio/ml - Management System for Machine Learning Models
Dashboards

studio/ml

Data science experimentation has become a fundamental driver of business success worldwide. In today’s environment, the ability to analyze and test data models often determines whether companies and products thrive or fall behind.

Application Screens

All projects within the Studio/ML dashboard are consolidated in a single location, accompanied by high-level testing data and results. The user experience is designed to enable individuals to quickly review their projects, track progress to date, and seamlessly resume work from their most recent session.

Interactive Navigation Panel

Consistent with modern web application standards, the Studio/ML design features intuitive controls that place all essential functionality at the user’s fingertips within an interactive sidebar. This interface not only streamlines access to the tools required for successful training but also allows users to adjust workflows in real time if results are not meeting expectations. By enabling this level of flexibility, the design significantly enhances efficiency and minimizes time wasted on unproductive script runs.

Project Setup

f you can conceive the idea and have the data prepared, the world of machine learning stands ready to adapt. Consistent with the principles guiding our dashboard designs, the emphasis is placed on making every element—apart from the data itself—fully interactive. By moving beyond traditional menu structures, the interface delivers a truly responsive and intuitive experience—one that anticipates user needs and seamlessly evolves as each new set of results becomes available.

Innovative Data Experimentation & Discovery

As noted above, the company health score can incorporate a wide range of activities that an organization chooses to include. Each activity is assigned a distinct color and icon, providing users and managers with a clear and intuitive visual reference. From any given activity, users can drill down further to understand the sources of scores and percentages, as well as identify areas for improvement.

An integral component of the tracking mechanism is the ability to monitor both the overall stress level associated with each activity and its effectiveness over time, offering valuable insights into long-term performance and impact.

Artifact Configuration

Features are color‑coded and presented in an expandable card layout, enabling streamlined configuration, experiment tracking, and artifact preservation.

Training Metrics

Our design approach for the project landing page emphasizes providing users with a clear, high-level view of project status, including total project duration, team activity, and summarized data visualizations. Projects can also be filtered by timeframe and easily located through keyword search, ensuring both accessibility and efficiency in navigation.

Product Design System

At its core, this is a UX/UI design system practice. The design system developed for studio/ml encompasses every element with meticulous attention to detail, ensuring that each pixel is thoughtfully considered. Our approach to design systems leaves nothing unaddressed, providing complete clarity and precision. Upon completion, we are fully confident that any development team can implement the design system and accompanying documentation to build the intended application without ambiguity or questions.

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