Geospatial UX
user research
Interaction Design
National Ecological Observatory Network

Product Outcome
Designed interactive geospatial tools that bridged ecological data with field sites across the United States, improving how researchers discovered and contextualized environmental observations.
Timeline
Role
The problem
Product Strategy
Cross-functional Decisions
Geographic context as design pattern
Established interactive maps as the primary interface for exploring NEON's network of field sites, embedding spatial context directly into the data discovery experience rather than treating maps as a supplementary visualization.
Cross-organizational collaboration with National Geographic
Coordinated between NEON's science team and National Geographic's web technologists to improve FieldScope mapping tools, bridging the gap between scientific data requirements and public-facing usability.
Research-informed design iteration
Observed usability testing sessions and translated findings into concrete design iterations. This evidence-based approach ensured that design decisions reflected actual user behavior rather than internal assumptions about how scientists would explore ecological data.
Research and strategy

Shape the product system

WRap Up


IMPACT
Transforming Field Site Discovery
By rethinking the experience around researchers' workflows, the redesign transformed disconnected field site pages into an intuitive platform for exploring, evaluating, and comparing ecological research sites.
Product Strategy
Reframed the experience around how researchers evaluate field sites, not how content was organized.
Information Architecture
Connected maps, metadata, and measurements into a unified discovery and evaluation workflow.
INTERACTION DESIGN
Made geographic exploration the primary entry point, helping researchers compare sites with confidence.
Design System
Created reusable patterns that scaled across field sites while adapting to diverse ecological data.
✨Principles I Still Design By
Great product design starts with how people think, not how information is stored. Organizing experiences around users' workflows makes complex scientific data easier to explore, evaluate, and trust.