2022

Explorer 



Is an internal tool used by Meta to detect and manage potentially harmful or infringing media—such as copyrighted videos, misinformation, or violent content—across Facebook platforms. It uses advanced hashing (like photoDNA and video hash matching) to identify duplicate or manipulated content at scale. Media Match empowers trust & safety teams to flag, track, and act on violations quickly, supporting Meta’s wider effort to uphold platform integrity and community standards.


FB.com

Facebook



Sr Prodcut Designer

Prototyping 

UX, UI




Problem
Viewing, cross-referencing, and investigating banked content was often confusing and time-consuming for Meta’s engineers and integrity teams, leading to inefficiencies in enforcement analysis and review.

Audience
Product stakeholders such as investors, employees, customers, and suppliers.







01.In a nutshell. At Facebook, I redesigned Explorer, an internal tool used to trace the origin and logic behind automated enforcement actions. The original experience was fragmented, making it difficult for policy teams to understand why content was flagged or actioned. I restructured the interface to surface key decision signals, show clearer enforcement paths, and improve filtering. After launch, internal audit time decreased by 28%, issue resolution time improved by 22%, and confidence in decision traceability increased significantly based on feedback from cross-functional teams. The redesign played a key role in improving transparency and accountability within Meta’s integrity workflows.








02.Deepdive  Providing internal teams with deeper insight is critical before making decisions with wide-reaching implications across Meta’s platforms. Ensuring clear visibility into content and associated banks helps reduce errors and prevents potentially violating content from going unnoticed.






03.Moving banked 
content . 
Banks evolve over time as violating content is replicated, modified, or resurfaced. Allowing teams to move or merge banks ensures a cleaner structure, reduces duplication, and helps maintain more accurate enforcement groupings.