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

Figma Make

Miro

Skills

UX Research

Product Design

Prototyping with AI

Prototyping with AI

OVERVIEW

Problem

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.

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

My Contribution

During the research phase, I led three interviews and 2 participatory design sessions with faculty members to better understand their workload management and promotion planning strategies.

During the ideation phase, three of my ideas were modified and developed into our five design visions. I then advocated for listing the advantages and disadvantages of each vision, which helped us narrow our ideas down.

I solely led the information architecture design and was responsible for creating the wireframes. I independently led the creation of the user flow of the tool and an interactive prototype using Figma Make.

Design Outcome

Design Outcome

We designed a web-based tool that helps faculty track their workload, understand when to say yes to new commitments, and better balance teaching, service, and research. The platform streamlines previously manual tasks through AI-assisted activity logging and generates an editable, AI-powered year-end report.

Workload Balance Dashboard

Workload Balance Dashboard

Helping faculty better balance their teaching, service, and research responsibilities, and supporting them in making informed decisions about which commitments to take on.

All Activities

All Activities

Add activities from the mobile app or web, sync your connected sources, and let AI suggest items to include — then choose what goes into your final report.

Editable AI-generated Annual Report

Editable AI-generated Annual Report

Automating the time-consuming and repetitive task of creating a year-end report, crucial for evaluations during promotions.

RESEARCH

Research Goals

GOAL 1

Understand how faculty manages their workload and plans 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

Interviews

We conducted semi-structured interviews with 8 faculty members to understand their routines, delegation strategies, goals, and tools for promotion planning.

We conducted semi-structured interviews with 8 faculty members to understand their routines, delegation strategies, goals, and tools for promotion planning.

We structured our contextual interview guide around four major themes:

a. Daily Tasks
b. Tools Used to Manage Workload
c. Personal and Professional Goals
d. Documentation & Promotion Preparation

Each section had open-ended questions and optional observational prompts, such as reviewing planners or calendars, observing workspace setups, or discussing templates used in promotions. These helped us gain a deeper understanding of how faculty organize their responsibilities.

On the right: Distribution of interviewed faculty members

Participatory Design

Activity 1: Reflecting on the Week

Activity 1: Reflecting on the Week

Participants mapped out a typical work week and annotated moments that felt particularly chaotic or organized. They shared emotional responses to specific tasks and tools, helping us uncover pain points, support gaps, and mismatches between their workflows and current systems.

Activity 2: Designing an Ideal System

Activity 2: Designing an Ideal System

Participants created low-fidelity prototypes of a tool they wished existed. By arranging interface elements and explaining their choices, they articulated what functionalities, forms of recognition, and organisational structures would help them feel in control of their workload.

Understanding the Data

Together as a team, we analysed the data we collected with our Qualitative Research Methods.

User Journey Map

Key Findings

Walk Walk

The Wall Walk generated a wealth of innovative ideas that guided our visioning session. Our Wall Walk surfaced many key insights: a personalized tool can drive continuous self-improvement; need for a tool that can adapt to each user’s broader life context; and tools that effortlessly capture their achievements on the go.

IDEATE

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

We conducted a pen‑and‑poker ideation session and produced five initial design visions.

We conducted a pen‑and‑poker ideation session and produced five initial design visions.

Vision 1: Annual Review Task Dashboard

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

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

An AI side-panel feature on Orbit that pulls data from various platforms used by faculty and drafts evidence statements, structures accomplishments, and suggests missing items.

Vision 4: Personality-Tuned Home Page

A configurable landing page adapts to the faculty member’s stated preferences. They can choose to include personal life as an element in the dashboard to discuss during year-end reviews.

Vision 5: Peer Discussion Board

The system gives faculty a lightweight place to share timely, career-relevant content (conferences, teaching hacks, service opportunities) with peers in similar roles.

Design Alternatives

We began by sketching our five ideas on paper and used AI to generate quick prototypes. Then we evaluated each concept against our design goals and selected the one to take forward.

Vision 1: Annual Review Task Dashboard

Vision 1: Annual Review Task Dashboard

Kickoff of the semester: Maria opens Orbit to start tracking her work so she can keep teaching, research, and service in balance.

Kickoff of the semester: Maria opens Orbit to start tracking her work so she can keep teaching, research, and service in balance.

Setting her anchors: She sets her ideal mix (40% research, 40% teaching, 20% service) as her decision anchor.

Setting her anchors: She sets her ideal mix (40% research, 40% teaching, 20% service) as her decision anchor.

Midterm check: Orbit shows her progress for the term and flags that service is over target.

Midterm check: Orbit shows her progress for the term and flags that service is over target.

Log Activity: She adds a new activity with details so it’s ready for her end-of-semester report.

Log Activity: She adds a new activity with details so it’s ready for her end-of-semester report.

Vision 2: Micro Diary Logger

Maria opens Orbit Diary, a phone companion to the faculty workload web tool.

She records her voice to add a new note, and tags it as teaching, service, or research.

The Daily Review dashboard lets her select what to add to her activity log.

Vision 3: GenAI Assistant for FacultySuccess

Maria opens the AI Assistant and reviews connected sources (Email, Calendar, Drive, etc). She taps "Scan Now" for the assistant to pull fresh items from the sources.

The scan generates draft evidence statements with badges for Teaching, Research, and Service. She can choose to add the item to her year-end report.

The Suggestions tab lists what’s missing and shows a Structure preview of report completeness.

Maria opens the AI Assistant and reviews connected sources (Email, Calendar, Drive, etc).

Maria opens the AI Assistant and reviews connected sources (Email, Calendar, Drive, etc).

The scan generates draft evidence statements with badges for Teaching, Research, and Service.

The scan generates draft evidence statements with badges for Teaching, Research, and Service.

The Suggestions tab lists what’s missing and shows a Structure preview of report completeness.

The Suggestions tab lists what’s missing and shows a Structure preview of report completeness.

Vision 4: Personality-Tuned Home Page

The scan generates draft evidence statements with badges for Teaching, Research, and Service.

The Suggestions tab lists what’s missing and shows a Structure preview of report completeness.

Vision 5: Peer Discussion Board

The scan generates draft evidence statements with badges for Teaching, Research, and Service.

The Suggestions tab lists what’s missing and shows a Structure preview of report completeness.

DECIDE

Selected Design Vision - Orbit

For the final design vision, we prioritized four MVP features:

Workload Dashboard

Gen-AI for Orbit

Diary Log

Discussion Board

We chose these because they most directly meet the core goals of decision clarity, workload balance, faster reporting, and peer learning while remaining technically feasible to ship in one term. Each choice scored high on meeting core design goals, technical feasibility, and privacy. We explicitly excluded the Personal aspect (personal-life bar) from MVP due to privacy and equity risks: potential admin visibility ambiguity, bias or stigma from sensitive disclosures, and social pressure to share context, none of which are necessary to achieve the core outcomes.

Information Architecture

I led the creation of the following Information Architecture:

PROTOTYPE

Selected Design Vision - Orbit

We chose these because they most directly meet the core goals of decision clarity, workload balance, faster reporting, and peer learning while remaining technically feasible to ship in one term. Each choice scored high on meeting core design goals, technical feasibility, and privacy. We explicitly excluded the Personal aspect (personal-life bar) from MVP due to privacy and equity risks: potential admin visibility ambiguity, bias or stigma from sensitive disclosures, and social pressure to share context, none of which are necessary to achieve the core outcomes.

REFLECTION

  1. Participatory design surfaces what interviews can't: Leading the participatory design sessions was a turning point. Watching faculty map out their chaotic weeks and prototype their ideal tools revealed frustrations they couldn't articulate in interviews alone.


  1. More ideas means harder decisions, and that's the point: We generated five distinct design visions, and I pushed for systematically listing the advantages and disadvantages of each. It felt like extra work at first, but that rigor helped us defend our MVP choices with confidence.


  1. AI prototyping accelerates exploration, not just execution: Using Figma Make to rapidly prototype our visions let us think through making rather than just sketching ideas. It lowered the cost of exploring directions we ultimately didn't pursue, which paradoxically made us more willing to experiment.

  1. Participatory design surfaces what interviews can't: Leading the participatory design sessions was a turning point. Watching faculty map out their chaotic weeks and prototype their ideal tools revealed frustrations they couldn't articulate in interviews alone.


  1. More ideas means harder decisions, and that's the point: We generated five distinct design visions, and I pushed for systematically listing the advantages and disadvantages of each. It felt like extra work at first, but that rigor helped us defend our MVP choices with confidence.


  1. AI prototyping accelerates exploration, not just execution: Using Figma Make to rapidly prototype our visions let us think through making rather than just sketching ideas. It lowered the cost of exploring directions we ultimately didn't pursue, which paradoxically made us more willing to experiment.

  1. Participatory design surfaces what interviews can't: Leading the participatory design sessions was a turning point. Watching faculty map out their chaotic weeks and prototype their ideal tools revealed frustrations they couldn't articulate in interviews alone.


  1. More ideas means harder decisions, and that's the point: We generated five distinct design visions, and I pushed for systematically listing the advantages and disadvantages of each. It felt like extra work at first, but that rigor helped us defend our MVP choices with confidence.


  1. AI prototyping accelerates exploration, not just execution: Using Figma Make to rapidly prototype our visions let us think through making rather than just sketching ideas. It lowered the cost of exploring directions we ultimately didn't pursue, which paradoxically made us more willing to experiment.

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