01
High-stakes communication needed more trust
In healthcare, legal, education, and public service contexts, translation quality can directly affect someone’s ability to understand critical information.
Instant Human Review
A market-first Propio initiative for AI-assisted translation review in regulated communication. Because the work is part of an active intellectual property conversation, this public version focuses on my role, design judgment, and product leadership without exposing the workflow, interface details, client data, or performance metrics.
- Role
- Lead product designer
- Focus
- Product strategy, AI workflows, UX research, and UI design
- Platform
- Enterprise SaaS web + iPad
- Company
- Propio
Design Challenge
02
Speed could not come at the cost of oversight
The product needed to support faster translation review while preserving the confidence expected in regulated communication.
03
The experience had to work across teams
My role was to help shape a clear product experience across user needs, operational realities, and engineering constraints.
What I Can Share Publicly
01
Led product framing
I helped translate an emerging opportunity into a product direction that balanced business value, user trust, compliance sensitivity, and technical feasibility.
02
Designed for human confidence
The design work centered on making AI support the workflow without asking users to blindly trust automation in moments where accuracy and accountability matter.
03
Built coded validation tools
I used Figma Make to create working tests and a live analytics dashboard, helping the team choose a direction before a full engineering build.
Testing platform
I coded the study experience in Figma Make, including the test flows and a live dashboard that updated as users completed the tests.
Decision analytics
The dashboard helped turn reviewer behavior into a clearer recommendation for which workflow direction to pursue.
Review model validation
The work explored how to keep human judgment central while using AI to reduce friction in time-sensitive communication.
Product team monitoring
This Databricks view was part of the real production ecosystem, created by the product team to track operational health after launch.
Design Leadership
My contribution was helping the team move from a promising idea to a credible product direction. That included clarifying the user problem, mapping the service implications, shaping the interface strategy, and aligning product, design, engineering, and operational partners around a responsible path forward.
The work required product thinking beyond screens: where AI should create speed, where human judgment should remain visible, and how to make a complex service feel understandable to the people using it.
I also created the testing platform myself in Figma Make: the coded test flows, the working study experience, and the live analytics dashboard used while people completed the tests. That let the team make a more informed decision while reducing the engineering time and cost normally required to build a validation study.
Current Status
This public version is intentionally selective while the product and IP process continue. A fuller version exists for future use once the right approvals are in place.
Reflection
The strongest part of this project is not simply that it uses AI. It is that Propio is creating a market-first way to deliver human review for AI-assisted translation in moments where speed, accuracy, and trust all matter.
This was not a feature with an existing playbook. The work required shaping the product from the ground up: how it should feel, how reviewers should stay in control, and how the business could validate a new product model before investing in a full build.
Interested in this project?
I’m happy to discuss the design approach at a high level and share more when the right approvals are in place.
Contact me