
Aster
Aster transforms how organizations monitor and improve employee well-being by combining sentiment analysis, workforce analytics, and actionable insights in a single platform. The project focused on making data intuitive and human-centered, enabling HR leaders to proactively address issues without overwhelming users with complexity.

Team:
2 Product Managers, 2 Frontend engineers, Backend engineer, External stakeholder / founder
Role:
Lead Product Designer
Time:
4 months
The challenge
Visualizing complex, continuous sentiment data without causing cognitive overload.
Using innovative, unorthodox approaches to presenting data while retaining legibility.
Maintaining employee trust while collecting sensitive information.
Encouraging adoption among HR teams resistant to analytics-heavy tools.

My role
Responsible for UX strategy, interaction design, and visual system development. Collaborated closely with product managers, engineers, and data scientists to define feature scope, ensure usability, and maintain design cohesion across touchpoints.

Process and approach
Research and discovery
Conducted stakeholder interviews to map out decision-making pain points.
Audited existing HR dashboards to identify common usability failures.
Created empathy maps to guide a privacy-first and human-centered approach.
Information architecture
Developed a card-based layout system for modular data visualization.
Implemented a “progressive disclosure” model to reveal deeper analytics only when needed.
Design and prototyping
Designed an organic, “living tissue” visual motif to represent workforce sentiment.
Built interactive prototypes in Figma, tested iteratively with HR teams.
Validation
Conducted usability tests (task completion rates, time on task, and comprehension).
Adjusted visual density, label clarity, and navigation pathways based on feedback.

Impact
100%
task completion rate in usability testing across 12 HR professionals from pilot companies
~0%
error rate dropped to near zero in test scenarios after navigation and labeling improvements
4.6/5
~20%
