On the Margins -- How to use available data to improve enrollment management

Please provide a one-paragraph overview of the session.‎ (200 words or less): This presentation will showcase real-world examples of data reports developed within Slate that have directly enhanced both the modeling and operational efficiency of the MS-ADS (Master of Science in Applied Data Science) team at the University of Chicago. By leveraging Slate’s reporting capabilities, our team has been able to identify and act on pivotal trends and behaviors, ultimately leading to improved decision-making throughout the admissions process. For instance, we have used predictive analytics to forecast applicant yield, monitor key engagement metrics, and identify the characteristics of high-potential candidates—empowering us to allocate resources more effectively and personalize outreach. The session will go beyond these case studies to explore how other enrollment teams can use daily prospective student interactions and actions—such as event attendance, form completion, and email engagement—to inform their own recruitment strategies. This practical, data-driven approach not only streamlines operational workflows but also helps uncover actionable insights that may otherwise go unnoticed. Attendees will leave with new perspectives on how the thoughtful use of data, grounded in tools like Slate, can drive continuous improvement and greater efficiency in any admissions environment.

Session Agenda/Outline (200 words or less): Leveraging Data in Slate for Enrollment Success

Introduction (5 min)

Welcome and session objectives
Brief background on MS-ADS at the University of Chicago
Importance of data in modern enrollment management
Quick Survey of Audience (5 min)

Interactive poll or open questions
Understand audience roles, goals, and challenges with enrollment data
Outline of Our Program (5 min)

Overview of the MS-ADS program structure
Partnerships, instructional approach, and outcomes
Enrollment volumes and diversity
Understanding Your Population (5 min)

Segmenting applicant and prospect populations
Key data points to collect
Examples from our experience
Thinking Through Your Prospective Student’s Journey (5 min)

Mapping the stages: prospect to enrolled student
Critical touchpoints and interactions
Behavioral data collection along the way
Identifying Your Milestones (5 min)

Defining and selecting actionable milestones (e.g., application started, event attended)
Why milestones matter for modeling and operations
Coding Your Milestones (5 min)

Translating milestones into Slate queries and triggers
Practical examples from our reporting toolkit
Building Out Your Report (5 min)

Designing meaningful data reports in Slate
Visualization and interpretation tips
Monitoring Your Report (5 min)

Setting up dashboards and alerts for ongoing monitoring
Iterative improvements: closing the feedback loop
Q&A and next steps