Graduation Exit Poll: Student Experience & Outcomes

Gathers employee ratings of senior leadership on vision, decision-making, transparency, and accountability, plus behavioral data on how often leaders are visible day-to-day. An AI follow-up interview digs into the specific decision or moment that most shaped each person's confidence — surfacing concrete evidence behind the scores for HR and the executive team.

Captures how graduating students rate their academics, career readiness, and campus life as they head out the door, plus their post-graduation plans and likelihood to recommend the school. An AI follow-up interview digs into the specific moment or decision behind their lowest-rated aspect instead of settling for a generic score. Built for institutional research and student affairs teams running exit polls each term.

Captures how graduating students rate their academic program, career preparation, and overall value as they leave — with an AI follow-up that digs into the specific moments behind their satisfaction score. Built for registrars, program directors, and student success teams who need both a benchmark number and the story behind it.

Captures graduating students' satisfaction with their program, how prepared they feel for their next step, and where the institution should invest next — built for registrars, program directors, and career services teams closing out a cohort. An AI follow-up interview digs into the real reasons behind low preparedness or satisfaction scores instead of stopping at a number.

Captures how graduating students rate their academic experience, campus support, and readiness for what's next — from advising and coursework to job offers or grad school plans. Built for registrars, career centers, and academic affairs teams tracking outcomes across cohorts and programs. An AI follow-up interview digs into the specific moments that shaped a student's sense of readiness, going beyond a single rating.

Captures why students are leaving — graduating, withdrawing, or transferring — and how satisfied they were with academics, advising, and support services. An AI follow-up interview digs into the specific moment or decision behind their recommendation score, giving administrators concrete, story-level detail instead of just a satisfaction number.