AI-Powered News Analysis for Risk Detection
Lead UX/UI design for Semantic Visions, creating svEye an AI platform that transforms unstructured news into actionable risk intelligence.
Role
(Contract)
Timeline
Methods
Scope
Overview
I joined Semantic Visions early in the discovery phase, designing the svEye MVP from the ground up. My work covered ideation, wireframing, prototyping, visual design, and developer handoff — all while collaborating closely with product management and developers to deliver an intuitive, scalable interface for a complex data environment.
- Built a scalable design system with multi-theme components (light/dark mode, states, accessibility).
- Designed dashboards, reporting frameworks, and advanced visualization patterns for high-volume data.
- Conducted user testing to validate flows and refine usability.
I had the pleasure of working with Shawn for over a year and a half on a B2B data and analytics product. Shawn is extremely diligent and dedicated to his work, as well as reliable and always looking for ways to improve, whether it be related to our ways of working and processes, or to design and the user experience of the product itself. He saw the product through from ideation in the very early discovery phase to a full-fledged MVP and was an integral part of that journey.
As a designer, Shawn is detail-oriented, creative, and has quite a talent for thinking outside the box. He is able to take clear requirements and come up with a solution far superior to what was originally expected. Conversely, he is also able to work with a concept in its early stage, always encouraging his colleagues to think about what exactly we want to achieve for our users and why. As a Product Manager, I knew I could rely on him to always come up with something better, or a better approach. I would absolutely recommend him and I'm sure I will work with him again in the future.
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Alyssa Parkhurt
Product Manager
Discovery & Foundations
I contributed to defining the product vision by mapping the features and breaking down challenges and constraints. I created user flow diagrams to plot the mechanics of searches, filtering, and reporting. In addition, I conducted a competitive analysis identifying patterns in dashboards, filters, and visualizations that informed our baseline expectations. These artifacts aligned stakeholders and provided a shared blueprint for development.
Scalable Design System
Created a flexible design system with reusable, multi-state components (buttons, menus, panels, modals, etc.) supporting light/dark mode and accessibility. The component library ensured consistency and allowed the interface to scale as new features were added.
Core Workflows
Designed and established multi-step processes such as search configuration, report building, and automation as guided flows with contextual controls. These workflows, created from scratch, reduced friction, improved discoverability, and encouraged deeper exploration of insights.
User Flow – CSV Upload & Validation
Overview of the end-to-end process designed from scratch
User Flow - Upload CSV - Validate Data
System parsing the file and surfacing issues
Validation Modal – Editing Entity Name
Manual correction of invalid row
Validation Modal – Editing Entity Type
Refining entity classification through dropdown selection
Dashboard Architecture
Structured the product around a modular dashboard framework where users could configure, review, and compare intelligence reports in one environment. Emphasized adaptability by supporting multiple entities, filters, and comparative views with consistent navigation.
Parameters Sidepeek – Completed State
Expanded panel for configuring search parameters before running a query
Dashboard – Overview with Charts
Interactive panels showing multiple visualizations within a modular framework
Dashboard – Data Table View
Scrollable tabbed table for detailed exploration of underlying results
Growth & Engagement
Designed product-led growth (PLG) nudges that informed users of their plan’s limitations and highlighted upgrade or add-on options. These contextual prompts balanced clarity with subtlety, supporting business goals while maintaining user trust.
Trial Banner – Default State
Non-intrusive notification showing remaining trial days on the home screen
Plan Limitation – Date Restriction
Contextual nudge within the sidepeek, guiding upgrade/add-on options for historical data
Plan Limitation – Entity Cap
Upgrade prompt surfaced during CSV upload, highlighting account limits and upsell paths
Conclusion
Partnering closely with product and engineering, I translated complex backend logic into intuitive interfaces and delivered an MVP foundation that balanced technical constraints with strong UX principles. The result was a scalable, analyst-friendly platform ready for its soft launch release in August 2025.
As Semantic Visions transitions design work in-house, I ensured a smooth handoff by delivering a robust design system and detailed documentation. This gave the incoming designer and broader team the tools to carry the product forward, building on a foundation that is both cohesive and scalable.
