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About AdmitPath
AdmitPath reviews a college application using documented planning dimensions, then turns the submitted information into a prioritized to-do list.
College-planning support ranges from school and community resources to independent counselors and online tools. Cost, availability, and depth vary widely.
School counselors bring essential local context, while their available time and caseload vary by school. Digital tools can help students organize questions and prepare for those conversations.
AdmitPath exists to provide an accessible, structured supplement to qualified counseling without promising equivalent outcomes.
Our 7-dimension scoring framework uses the published admissions-factor criteria in the 102 college records currently maintained by AdmitPath. Coverage and publication dates vary, so students should verify current requirements with each school.
We surface a 4-band predictor (Very Likely / Possible / Long Shot / Hail Mary), not a precise percentage. Admissions has too much hidden state — institutional priorities, hooks, year-to-year shifts in yield management — for any model to claim 87.3%-grade accuracy. Honest bands beat false precision.
Every UI choice is aimed at a 16-to-18-year-old reading on their phone at 11 PM. No shame, no scarcity drips, no 'limited time' fake-urgency. The hard part is the application itself; we don't add cognitive load.
AI scores essays across 6 dimensions and surfaces patterns. It doesn't write the essay. We display each school's AI-use policy directly on its detail page and steer students toward editing tools, not generation tools.
Every score, every band, every "this school weighs X" overlay is sourced. We don't manufacture admissions data; we ingest it from authoritative sources and refresh at the start of each application cycle.
Common Data Set (CDS)
Each university's annual Common Data Set Section C7 — the official admissions-factor weighting that schools self-report. Drives the per-school 'What this school weighs' overlay on every college detail page.
IPEDS / NCES
Federal Integrated Postsecondary Education Data System for enrollment, sticker price, retention, graduation rates, and demographic breakdowns. The same dataset powering College Navigator.
College Scorecard
U.S. Department of Education dataset for net price by income band, median earnings 10 years out, and student-loan repayment rates. Used as planning context where those fields are available.
FairTest + each school's official policy page
Test-optional, test-blind, and required policies cross-referenced from FairTest plus each registrar's official admissions page (rechecked at the start of every cycle).
Hoxby & Avery (2013)
Brookings paper on undermatching — high-stat low-income students systematically under-applying to T20 schools that would cost them less than their state flagship. Powers the /undermatch self-check.
Built from the perspective of students navigating the college admissions process now. AdmitPath focuses on practical planning, transparent assumptions, and tools that make application strategy more accessible.
Students have very different levels of access to admissions support. AdmitPath is designed to make structured, data-informed planning more accessible while supplementing, not replacing, qualified human counseling.
Our mission is simple: transparent, data-informed college admissions guidance that students can access. The scoring rubric uses available Common Data Set admissions factors, IPEDS fields, College Scorecard data, and official school sources where present. Scores are planning guidance rather than admission probabilities, and current requirements should always be verified with each college.
Authors of every guide, blog post, and methodology page on this site
Articles are maintained by the AdmitPath editorial team. Guides identify primary sources such as Common Data Set reports, IPEDS, College Scorecard, and official admissions pages where available. Current requirements should always be verified with the institution.
AdmitPath was built from the perspective of students navigating an opaque and stressful college-planning process. Access to qualified admissions support varies widely by school and family.
That's why every design decision is aimed at the student, not the parent. No shame tactics, no artificial urgency, no hiding information behind a paywall. The hard part is the application itself — we don't add to the stress.
The core team that designs, builds, and ships the platform. Obsessed with making complex admissions data understandable at 11 PM on a phone screen.
Admissions guides link to primary sources such as CDS, IPEDS, and official school pages where available.
The team that maintains the 7-dimension scoring engine, updates available public data, and checks the implementation against the published methodology.
AdmitPath's methodology and editorial content are reviewed by advisors with direct admissions experience at selective institutions.
Recognized as a next-generation admissions tool that makes data-driven guidance accessible beyond affluent families.
Our commitment to citing sources (CDS, IPEDS, College Scorecard) and publishing our full methodology sets us apart from competitors who treat their algorithms as black boxes.
102
Maintained college records
7
Dimensions scored per student profile
200+
Free expert articles on admissions
AdmitPath provides profile scoring, essay feedback, college-list building, and AI-assisted planning. The rubric uses available Common Data Set admissions-factor weightings and presents specific next steps with important limitations.
Free profile analysis. See exactly where you stand on each of the 7 dimensions in under a minute.