Three Researchers. Forty Years Apart. The Same Conclusion: Early Action Saves Students.
StudentX Retention was built to act on exactly this, consolidating the signals that research identifies as predictive of departure, and routing them to the right advisor at the right moment.
Vincent Tinto
1987 & 1993
Disconnection forms gradually over weeks through signals that require early detection, not just grade monitoring.
Bean
1985
A multi-signal view of risk is essential. Grade-only alert systems miss the majority of at-risk students.
John Braxton
2000
The quality of faculty and advisor interaction in the first year is one of the strongest predictors of second-year return. Advisor capacity and the timing of outreach are direct retention levers, not just academic support systems.
Your Advisors Are Working Hard. The Systems Are Working Against Them.
Academic data lives in the SIS. Financial aid data lives in the ERP. Engagement data lives in the portal. Attendance lives in the LMS. An advisor supporting hundreds of students cannot manually consolidate that picture for every individual, and so warning signs go unnoticed until withdrawal becomes inevitable.
The problem is not advisor effort. It is system fragmentation. StudentX Retention fixes the system.

One Dashboard. Every Signal. The Right Advisor. Every Time.
StudentX Retention gives every advisor a complete, real-time picture of every student, without switching between systems. AI surfaces the risk. The platform routes the alert. The advisor acts
- 3 of 5
Dropouts Recovered - > 5%
Avg. Retention Improvement - 4–8 wks
Intervention Window - $1M+
At Risk Per 100 Non-Returning
AI Risk Prediction and Early Alerts
StudentX AI consolidates academic performance, financial aid status, engagement activity, and behavioral patterns into a single risk score, updated in real time. No single data point determines risk. The full picture does.
When a student's risk profile crosses a threshold, StudentX automatically generates an early alert with the reason clearly explained, not just a score. Advisors know what happened and why, with time to act.
Alerts are routed to the right advisor automatically based on caseload, assignment, and SLA rules. No alert falls through the gap because no one knew whose student it was.
360-Degree Student Profile
Academic history, financial aid status, engagement data, attendance, communication history, and intervention records, consolidated into one advisor view for every student. No switching systems. No missing context.
StudentX pulls live data from the SIS, LMS, ERP, and StudentX Engagement, so the student profile reflects what is happening right now, not last week's export.
Advising and Case Management
When an alert is triggered, StudentX builds a structured intervention workflow including recommended next steps, communication templates, follow-up scheduling, and outcome tracking, so advisors spend their time with students, not building case notes from scratch.
Every alert has a defined response window. StudentX tracks whether advisors are acting within SLA, escalates when they are not, and gives leadership visibility into response performance across the entire advising team.
Interventions are not generic. StudentX builds a plan based on the specific risk factors for each student including academic support, financial aid referral, advisor outreach, and community reconnection, matched to the institution's available resources.
Analytics and Reporting
Which advisors are acting within SLA? Which intervention types are working? Which cohorts are improving? StudentX gives VPs and directors the reporting they need to move from individual advisor performance to institutional retention strategy.
Track retention rates by cohort, program, risk level, and intervention type over time. See where the institution is improving and where the gaps remain.
Advisors see their students. Directors see their teams. VPs see the institution. Every role gets the view they need, without access to data that is not theirs.
Retention Starts With Engagement Data
Every signal generated by StudentX Engagement, including events attended, communities joined, login frequency, and notification opens, feeds directly into StudentX Retention’s risk models. The two modules were designed to work together from day one.
Institutions running both modules have the full picture: what students are doing, how connected they are, when that connection starts to drop, and who needs to act.

Connects to the Systems Your Data Already Lives In
SIS-agnostic. Over 100 pre-built integrations. No rip-and-replace required.
What Advisors and Student Success Leaders Are Saying
Frequently Asked Questions
StudentX Retention consolidates academic performance, financial aid status, engagement activity, behavioral patterns, and attendance data into a single risk model. The weighting of each factor is configurable per institution.
Alerts are automatically routed to the assigned advisor based on caseload configuration and institutional SLA rules. If an alert is not actioned within the defined window, it escalates. Directors have full visibility into alert status across the team.
No. StudentX Retention can pull engagement data from other systems. However, institutions running both modules benefit from a richer, more complete engagement data set that improves the accuracy of risk scoring.
Yes. StudentX Retention is built to FERPA, ADA, and enterprise security standards. Role-based access controls ensure every user sees only the data relevant to their role. See our Security and Compliance page for full details.
Most institutions are live within 6 to 12 weeks. Implementation complexity depends on the number of data source integrations required. Unifyed provides a dedicated implementation team for every deployment.
Risk scores are calculated from a weighted model across all connected data sources. Advisors see not just a score, but a breakdown of which factors contributed: academic weight, financial flag, engagement drop, behavioral signal, so every alert comes with context, not just a number.







