CASE STUDY  /  2025

Knowledge Management

Over the past year, my work has focused on recording the impact of Russia’s 2022 invasion of Ukraine on the Ukrainian diaspora in New York and their response to it

Context

HR practitioners spend approximately 20 hours/month answering policy-related employee FAQs. AI search and chat can answer those questions directly, but a human
must be in the loop to ensure accuracy.

Over the past year, my work has focused on recording the impact of Russia’s 2022 invasion of Ukraine on the Ukrainian diaspora in New York and their response to it.

A decades-long pursuit of street-photography with a cinema verite-inspired aesthetic has aided me in documenting spontaneous moments that, I sincerely hope, are not only a uniquely timely record of community resilience but also of my own presence in it. To take a quote from Nan Goldin “...creating a history, by recording a history”.

Timeline (Robust!) 

3 quarters for UX lead discovery, design & delivery

Team (Expanded!) 

Lead UX Designer (me), Content Designer, UX Research Lead,
Sr. Technical Product Manager, Product Owner, 9 AI/ML Engineers

Stakeholders (Expectant!) 

Sr. Director of Platform Engineering, VP of User Experience, EVP of Product

PROJECT GOAL
Deliver a scalable AI-powered HR content management system that saved practitioners time. 

Key Requirements

  • Generate Q&A sets from policy documents 

  • Resolve content & user scoping conflicts

  • Publish accurate and effective Q&A sets for search and AI chat 

  • Architecture must handle exponential scaling 


Success metrics

A successful adoption & measurable reduction in FAQs being directed
to HR practitioners.

PROJECT GOAL
Deliver a scalable AI-powered HR content management system that saved practitioners time.

CASE STUDY  /  2024

unified Local Search 

In 2024, AI/ML capabilities opened up a whole new world of opportunities for enterprise software.

  • ML with natural language processing could search multiple data indexes much faster and more efficiently than classic legacy search technologies. 

  • As the designer with the deepest understanding of ADP’s complex search infrastructure and our diverse clients’ user needs, I was approached to lead
    the initiative to use AI/ML to rethink the search experience.

In order to help other teams work on their own machine learning initiatives, I crafted and committed scalable UX patterns and design guidance for ML-based search to our shared design system library