Reducing digital asset search time from hours to seconds
I worked for Pacific Bonsai Museum as a Lead Designer and Project Manager, guiding a team of 2 designers and 2 developers in leading a full redesign of their photo management workflow. Several of my accomplishments included:
01
Design
Owned the design of a batch upload system, focused on reducing repetitive work and improving speed.
02
Leadership
Led a team through 10+ user interviews, shaping 4 system requirements and product decisions
03
XFN Work
Proactively generated ideas with staff and team, creating sprint goals for product roadmap.
95% of PBM’s 10,000+ images lack metadata, making them unsearchable. Staff manually open hundreds of files to find usable photos.
Designed a SharePoint system that enables staff to upload and tag photos in 5 minutes instead of 30, using batch actions + AI-assisted metadata.
Designed custom metadata fields in SharePoint to ensure consistent tagging and fast photo retrieval.
The system allows users to apply shared metadata, like event, date, and photographer, once across groups of similar photos together, reducing repetitive input and significantly reducing upload time.
Azure AI detects general attributes like season, setting, and content type during upload. Staff review these suggestions and add specific tree identifications, balancing efficiency with domain accuracy.
