About

Starting Semester: Spring 2026
Assigned: No
Location: Atlanta

Georgia Tech Strategic Consulting and Academic Success & Advising (ASA) within the Office of Undergraduate Education and Student Success (OUESS).

Client Profile

Academic Success & Advising (ASA) within the Office of Undergraduate Education and Student Success (OUESS). ASA serves as the campus administrator for Navigate360 and leads cross-institutional undergraduate advising practice.

Project Description

Title: Capacity Management and Workflow Optimization for Advising Units



Abstract: This project is focused on optimizing advising unit workflows and capacity management using Navigate360 data to enhance the undergraduate student and academic advisor experience.



Client Profile:



The primary client for this project is Academic Success & Advising (ASA) within the Office of Undergraduate Education and Student Success (OUESS). ASA serves as the campus administrator for Navigate360 and leads cross-institutional undergraduate advising practice.



Georgia Tech’s decentralized advising approach includes multiple colleges and units with unique workflows. Navigate360 aims to support this structure while improving coordination and efficiency. Undergraduate Advising Units include six colleges and approximately 30 schools each with unique advising structure, capacity, and processes.



What is Navigate360?



In the context of this project, Navigate360 is a comprehensive student success management system (SSMS) designed to improve student retention and graduation rates, streamline academic advising, enhance predictive analytics, optimize resource allocation, boost student engagement, improve communication, integrate fragmented data, and ensure equitable support for all undergraduate students.



Client Need:

Advising units are experiencing varying levels of demand and capacity. Georgia Tech seeks to optimize advisor workload distribution and appointment scheduling using Navigate360 data.



The project will focus on:



Analyzing advising appointment data to identify peak demand periods and capacity gaps.



Compiling a list of advising staff job types and time committed to advising and other job function.



Mapping current advising volume (student to advisor ratio across units including the amount of time (%) from the faculty and staff academic advisors dedicated to advising).



Exploring student/advisor growth history up to 3 years and future capacity up to 3 years.



Proposing strategies to balance advisor workloads and reduce student wait times.



How may required advising for at-risk (or other identified populations) impact workload?



Business Case:



This project aims to enhance undergraduate student experience at Georgia Tech by optimizing advising workflows and capacity management across decentralized units, so that we can ensure timely, equitable, and effective academic support for all students. By leveraging Navigate360 data, the project will generate actionable insights into advisor workload, student demand patterns, and capacity gaps—enabling Georgia Tech to advocate for strategic staffing growth, develop scalable advising models, and establish data-informed benchmarks for ideal advising capacity across colleges and schools. These outcomes will support more consistent, proactive, and student-centered advising practices campus wide.



Project Skills:

Process mapping, time studies, data modeling (partner with OUESS ASA to get access to de-identified student data), capacity planning, and operations research.



Data Stewardship and Communication:



No FERPA-protected student data will be accessed or shared as part of this project. All data used will be de-identified and provided exclusively by the client, Academic Success & Advising (ASA) within the Office of Undergraduate Education and Student Success (OUESS). All communication and coordination will be directed through ASA prior to any engagement with Georgia Tech Schools or Colleges.

Skills

Project Skills:
Process mapping, time studies, data modeling (partner with OUESS ASA to get access to de-identified student data), capacity planning, and operations research.