Reuters Content Hub
Balancing Automated Tasks
The Context Customers look to Thomson Reuters as a trusted source of content and technology. The company has invested heavily in the use automation to extract timely and important data that can help legal, tax, compliance, government, and media professionals make more confident decisions. These artificial intelligence/machine learning (AI/ML) models have been implemented across Thomson Reuters’ enterprise and are driven by complex machine learning models that leverage state-of-the-art industry algorithms.
Client
Deloitte for Reuters
Role
User Research UI & UX Design
Industries
Media
Date
June 2023
My Role
As a UX Lead for the Docket and Public Records squad I set high-level goals for the platform with stakeholders yet maintained a laser focus on smaller details to incorporate into the innovative stack. Open communication and thinking lean with intended users was key. When developing enterprise solutions, ux professionals have seen many situations where companies embarking on creating platform fail to understand what the users are doing right now. What are the true gaps they have? And what can they do to get true efficiencies and improvements?
Along the way my role contributed the end to end UX design process following:
Setup Design Thinking Workshops- to focus on defining the important painpoints of the current state and defining the future state
Contributed to the Design System- to design product specific needs for design system tables
Streamlined intricate User Flows- by visualizing complex processes I reduced steps to make the simple and intuitive processes.
Rapid Wireframing and Prototyping- designed through high-fidelity ui and formulated interaction patterns
Stakeholder management- Created a stakeholder communication plan defining purpose, aligning business and user goals, and planned agile touchpoints
THE VISION
The product vision was a single platform that could intentionally balance speed and governance, a platform where user roles from across the enterprise could register specific models but leave performance tracking to an AI/ML monitoring system. The goal, was to create a platform “flexible enough to accommodate different user personas, workflows, use cases, and types of models and at the same time standardize some core capabilities that then enable us to improve the way we govern, view, and trust our models.” The content hub designed to provide a new way of working for users in various work streams to transform their way of working and enable quicker time to publish key media content.
THE SOLVE
As a UX Lead I set the initial focus for the platform within Thomson Reuters’ legal content capabilities, such as those built around classifying documents and decisions. The workstreams still had manual tasks after the automation ran. The screens I created here demonstrate the solutions on how tasks be a seamless, efficient and handled in a modern way?
The platform had to be use case-agnostic and scalable, with a standardized UI across workstreams that could be used by configurators, model owners and monitoring teams across the organization, no matter what program they’d used to create a model. With an approach based on agile execution, the team—took parallel paths that enabled rapid iteration; weekly demos; and integrated, end-to-end demos for the broader Thomson Reuters user community, so stakeholder feedback could be addressed throughout the journey.
THE IMPACT The fully customized monitoring application enables a smoother, more efficient process while also providing immediate visibility into how models are performing. Thomson Reuters’ data model and governance team has augmented its ability to track changes in data and identify bias in a continuous manner, and data science and product teams are better positioned for tracking performance. The team is moving forward with monitoring more complex models that can enable summarization of legal documents. Thomson Reuters has been a pioneer in the wide adoption of responsible and trustworthy AI across its businesses, and Deloitte is committed to continuing that practice.