HEDSI methodology
HEDSI (Higher Education Demand Index) is a weekly composite view of student demand for higher education. It combines multiple data sources—including search behavior, FAFSA activity, application trends, and enrollment outcomes—to provide a real-time view of market conditions.
This page explains how the index is constructed, how to interpret its signals, and how structural demographic trends shape long-term demand.
Overview
What HEDSI is measuring
HEDSI measures higher education demand by combining multiple signal categories that reflect different stages of the student journey. Leading indicators—such as search interest and FAFSA intent—capture early shifts in demand. Application activity provides a mid-cycle view of engagement, while enrollment data helps validate whether demand is translating into actual outcomes. Together, these signals provide a more complete and timely picture of market conditions than any single source alone.
In addition to short-term demand signals, HEDSI incorporates a structural demographic layer based on projected high school graduate trends. This helps distinguish temporary fluctuations from longer-term changes in the underlying student population.
Source categories
Interest: search-based demand indicators derived from Google Trends, capturing early shifts in student interest.
Intent: FAFSA completion patterns and momentum signals, reflecting near-term intent to pursue higher education.
Applications: Common App activity and related indicators, representing active application behavior across institutions.
Validation: enrollment-oriented sources such as NSC and IPEDS, used to compare demand signals against realized outcomes.
Structural context: projected high school graduate trends (WICHE), providing a long-run view of demographic supply and student pipeline dynamics.
Interpretation
How to interpret HEDSI
HEDSI is designed to be interpreted as a directional indicator of market demand rather than a single-point forecast. Higher index values indicate stronger relative demand, while lower values suggest softening conditions. Changes over time— particularly over 4-week and 12-week windows—are often more informative than absolute levels.
The platform also highlights alignment between demand signals and enrollment outcomes. When demand is “leading,” interest and intent are moving ahead of reported enrollment results. When aligned, demand and enrollment are moving together.
Confidence levels reflect both signal availability and recency. Because different sources update at different cadences, HEDSI dynamically adjusts confidence based on how current each signal is.
Structural indicators provide additional context. In markets where the underlying student population is declining, even stable demand signals may indicate increasing competition for a smaller pool of students.
Why it matters
Applying HEDSI to enrollment and marketing strategy
For universities and marketing teams, HEDSI provides a data-driven way to understand changing market conditions and justify outreach strategy. By combining real-time demand signals with enrollment validation and structural trends, institutions can better determine whether shifts in performance are driven by market conditions, execution, or long-term demographic changes.
This enables more informed decisions around campaign timing, channel investment, and budget allocation—while providing a clearer narrative to leadership around the impact of marketing efforts and their connection to measurable outcomes.
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