case studies

SCOPE

SCOPE

0 → 1 design for Prior Foundry's Project Dashboard and Creation flow. Prior Foundry simulates populations to prototype and stress-test policy ideas.

0 → 1 design for Prior Foundry's Project Dashboard and Creation flow. Prior Foundry simulates populations to prototype and stress-test policy ideas.

KEY USER

KEY USER

Policy analysts and government officials who need to validate proposals against real population dynamics before committing resources.

Policy analysts and government officials who need to validate proposals against real population dynamics before committing resources.

ROLE

ROLE

Founding Designer. Responsible for UI/UX, user research, identity design, and frontend engineering.

Founding Designer. Responsible for UI/UX, user research, identity design, and frontend engineering.

RESULTS

RESULTS

$500K

$500K

Raised pre-seed round led by a16z, spotlighting user testimony with the newly designed product.

Raised pre-seed round led by a16z, spotlighting user testimony with the newly designed product.

10+

10+

Secured the first early adopters, including government agencies and international policy organizations.

Secured the first early adopters, including government agencies and international policy organizations.

1/2

1/2

Halved project creation time while improving the quality of user inputs.

Halved project creation time while improving the quality of user inputs.

DESIGNING TRUST

DESIGNING TRUST

  • The product's users are expert analysts, meaning the interface needed to feel like a trustworthy peer.

  • I designed a restrained, high-clarity visual system that matched the software our users were already using like Notion and Harvey: minimal color, sharp typographic hierarchy, and deliberate whitespace.

  • The system I designed made the product feel human and credible in rooms where PowerPoint decks and PDFs are the status quo.

  • The product's users are expert analysts, meaning the interface needed to feel like a trustworthy peer.

  • I designed a restrained, high-clarity visual system that matched the software our users were already using like Notion and Harvey: minimal color, sharp typographic hierarchy, and deliberate whitespace.

  • The system I designed made the product feel human and credible in rooms where PowerPoint decks and PDFs are the status quo.

RESTRUCTURING THE UX ARCHITECTURE

RESTRUCTURING THE UX ARCHITECTURE

  • The original architecture separated three features into distinct areas of the product: Projects, Simulations, and Chat. Users kept getting lost and had difficulty understanding the product.

  • I restructured the experience architecture so Simulations lived inside their parent project, alongside the AI Chat feature that served as a contextualized research assistant. This collapsed what had been a fragmented product into a single coherent environment.

  • The original architecture separated three features into distinct areas of the product: Projects, Simulations, and Chat. Users kept getting lost and had difficulty understanding the product.

  • I restructured the experience architecture so Simulations lived inside their parent project, alongside the AI Chat feature that served as a contextualized research assistant. This collapsed what had been a fragmented product into a single coherent environment.

IN WITH THE NEW

IN WITH THE NEW

  • Testing with 4 different policy experts across the EU and US, I designed a UI to match how analysts were already thinking about policy interventions. The five most notable interaction decisions I made (above) were rooted in the same logic of how a given UI matches a user's mental model of policy problems.

  • Through user research, I additionally uncovered product opportunities for two new features: Group Cards and Collaborative Projects.

EMPOWERING CREATION

EMPOWERING CREATION

  • Before, Project Creation required significant user input — policy parameters, population definitions, success criterias. Asking for it all at once was overwhelming, leading to high dropoff rates.

  • I designed a progressive disclosure flow that reveals complexity gradually. Users could see the shape of what was ahead without being confronted by it all at once.

  • The result: creation time halved, success heightened, and the quality of inputs were notably more comprehensive.

  • Before, Project Creation required significant user input — policy parameters, population definitions, success criterias. Asking for it all at once was overwhelming, leading to high dropoff rates.

  • I designed a progressive disclosure flow that reveals complexity gradually. Users could see the shape of what was ahead without being confronted by it all at once.

  • The result: creation time halved, success heightened, and the quality of inputs were notably more comprehensive.

Before / After UI Transformation

RESULTS

RESULTS

$500K

$500K

Raised pre-seed round led by a16z, spotlighting user testimony with the newly designed product.

Raised pre-seed round led by a16z, spotlighting user testimony with the newly designed product.

10+

10+

Secured the first early adopters, including government agencies and international policy organizations.

Secured the first early adopters, including government agencies and international policy organizations.

1/2

1/2

Halved project creation time while improving the quality of user inputs.

Halved project creation time while improving the quality of user inputs.

see also

Google

Gemini Privacy Trace

Sway

Voting Groups