Use Cases · For Student Success

For Student Success Leaders

Focus teams on the right students at the right time. Infinize brings early-risk signals, validated term plans, and next-best actions into one workspace, so interventions happen faster and outcomes improve.

Alerts & Nudges with impact-based prioritization

Academic plans validated for prerequisites and progress

Next-best actions and playbooks by cohort

Advisor Workbench to scale caseloads

Equity views by program, modality, and demographics

FERPA-compliant with student consent management

What you'll care about

Find the right students, fast

Risk cohorts auto-update daily. Predictive models highlight DFW risk, low credit velocity, and missed milestones, before it's too late.

Next-best actions, not just reports

AI recommends playbooks (nudges, appointments, plan reviews) and drafts messages. Advisors review, edit, and send, no copy-paste.

Scale without adding staff

Advisor Workbench automates routine responses, schedules follow-ups, and surfaces exceptions. Teams handle 2x+ caseloads with the same FTEs.

Close equity gaps with transparency

Dashboards slice by race, Pell status, and first-gen. See which interventions move the needle, and adjust playbooks accordingly.

Impact Metrics

Outcomes you can measure

Retention lift

Pilot cohorts show +1–2 percentage point retention gains within 1–2 terms when high-risk students receive timely interventions.

Advisor productivity

Smart Desk automations (appointment scheduling, FAQ responses, plan checks) return 15–25% of advisor time for complex cases.

Reduced case churn

Next-best actions guide follow-ups and prevent 10–15% of cases from reopening, lowering staff burnout and improving student experience.

Equity progress

Track DFW reductions and completion rates by demographic, ensuring interventions close gaps rather than widen them.

Mini-ROI (illustrative)

+1–2 pp retention in pilot cohorts within 1–2 terms

15–25% advisor time back from Smart Desk automations

10–15% fewer reopened cases via next-best actions

Workflow

How it works for your team

From insight to action in three steps

01

Identify

Risk models flag students who missed registration, have DFW risk, or low credit velocity. Cohorts update daily with owner assignments.

02

Act

AI recommends playbooks and drafts outreach (email, SMS, appointment invite). Advisors review, edit, and send in one click.

03

Measure

Track engagement rates, case resolution time, and cohort outcomes. Adjust playbooks based on what moves retention and completion.

Dashboards

Success dashboards

Start each day with a briefing on cohorts needing attention, emerging equity gaps, and which playbooks are working

Strategic view

High-level insights for leadership and planning.

Risk cohorts with action coverage and SLA countdowns

DFW hotspots and tutoring impact by gateway course

Credit velocity and progression bands by cohort or modality

Operational view

Move from insight to execution, see outstanding nudges, appointments, and plan adjustments along with accountable owners.

Action effectiveness and conversion by playbook

Advisor caseload balance and automation lift

Next-best actions surfaced by impact and student consent status

Trust & Equity

Human-centered, secure, and equitable

AI that augments your team without replacing judgment or ignoring fairness

Human-in-the-loop

Advisors stay in control, AI drafts and recommends

Explainable rationale and linked sources for actions

Playbooks reviewed and approved by your team

Privacy & equity

FERPA/GDPR aligned; PII minimization by role

Bias checks on models and interventions

Audit logs for prompts, retrievals, and actions

FAQs

Frequently asked questions

Ready to focus your team on the students who need help now, and prove what's working?

See how Infinize helps Student Success teams improve retention and scale impact