Orbit
A career tracking & workload management tool for the University of Maryland, College of Information Faculty
9 WEEKS / MAR - MAY 2025
Project: Academic Project
Team: Saumya Verma, Hitarthi Bhinde, Mansi Srivastava, Pradeep Yellapu, Hansika Murugu
Tools
Figma
Miro
Skills
UX Research
Product Design
Prototyping with AI
OVERVIEW
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Faculty at the UMD iSchool manage a range of responsibilities. Currently, there is no easy way to track everything they do, which makes it hard to showcase their contributions during promotions.
Teaching
Service
Research
Process

Scoping

RESEARCH
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Research Goals
GOAL 1
Understand how faculty members manage their workload and plan for promotions
GOAL 2
Identify critical sources of frustration with the current processes
GOAL 3
Discover what users expect from a digital platform to help them succeed
Methods
8
in-depth faculty interviews
5
participatory design sessions
1
identity model + journey map
IDEATE
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Design Goals

Decision Clarity
How might we help faculty decide which tasks to say “yes” to - and when?

Balanced Commitments
How might we help faculty better balance teaching, service, and research?

Streamlined Updates
How might we make the CV and Faculty Success update less time-consuming?

Honouring Personal Life
How might we make personal life commitments valued in faculty reviews?

Peer Learning and Comparison
How might we foster shared learning?

Career Growth
How might we better support faculty in advancing their careers?
Ideation
Vision 1: Annual Review Task Dashboard
Workload Distribution Visualisation
Auto-generate Report
A single dashboard aggregates teaching, research, and administrative activities drawn from existing tools (Canvas, Outlook, Faculty Success, etc.). At year-end, the professor can export a promotion-ready report.
Vision 2: Micro Diary Logger
Log fragmented tasks on-the-go
Auto-generate Report
A “diary” widget lets faculty jot quick notes about fragmented tasks (advising emails, committee work) throughout the day to make them easier to document for year-end reviews.
Vision 3: GenAI Assistant for Faculty Success
AI Assistant
Feature Add-on to existing tool
An AI side-panel feature on Faculty Success that pulls data from various platforms used by faculty and drafts evidence statements, structures accomplishments, and suggests missing items.
Vision 4: Opportunity Recommender
How might we help faculty decide which tasks to say “yes” to - and when?
Vision 5: Personality-tuned Homepage
UX Research
Product Design
Prototyping with AI
How might we help faculty decide which tasks to say “yes” to - and when?
Design Alternatives
Vision 1: Annual Review Task Dashboard
Workload Distribution Visualisation
Auto-generate Report












