We don't find
the best writers.
We find the next leaders.
A multimodal admissions pipeline — video, personality test, and AI-powered analysis — with full explainability and human reviewers making every final call.
The Admissions Flow
Five steps. Multimodal signals. One human decision.
Apply
Choose Foundation Year or Undergraduate and fill in your profile.
Video Presentation
Record a 3-minute video in your own words — authenticity over polish.
Personality Test
40 leadership questions revealing how you think, adapt, and respond.
AI Analysis
Scores across 4 dimensions with full evidence tied to your responses.
Human Review
Admissions reviewers see all evidence and make the final decision.
Four Pillars of Potential
Weights derived from 17 meta-analyses. Every score backed by evidence quotes from the candidate's own words.
Leadership Potential
Video presentation
Ability to mobilize others, take initiative, and drive collective outcomes. Weighted highest because inVision U seeks future leaders — but reduced from 35% due to higher measurement noise in essay/video contexts.
"I walked through how I coordinated 40 volunteers after the flood — logistics, morale, and follow-through."
Growth Trajectory
Personality test + application
Rate of improvement and learning velocity, not just current achievement. Maps to conscientiousness — the most robust personality predictor of academic success (r = 0.21).
"Strong self-awareness of past failures; a jump from failing math to tutoring peers within two semesters."
Authentic Motivation
Bot interview (STAR)
Genuine intrinsic drive to create impact beyond personal gain. Has the strongest evidence base of any non-cognitive predictor — identified regulation is the best predictor of persistence.
"When asked what they'd do with no audience, they described teaching coding to younger students — unprompted and specific."
Resilience & Agency
Video presentation
Capacity to overcome adversity and proactively shape one's path. Critical for surfacing "hidden talent" — strong candidates who self-present poorly but overcome systemic barriers.
"After my family lost everything, I didn't wait — I built a small resale business at 16 to cover my own school supplies."
How the Composite Score Works
A weighted average — not a black box. Every dimension contributes proportionally.
≥ 4.0
Shortlist
AI recommends → human confirms
2.5 – 3.9
Needs Review
Mandatory human evaluation
< 2.5
Flagged
Human can still override to admit
Scale: 1.0 (Absent) to 5.0 (Exceptional) per dimension. No candidate is ever auto-rejected — humans make every final call.
7 Dimensions → 4 Pillars
The personality test measures 7 raw dimensions that are combined into the 4 composite pillars above.
max(leadership, initiative)
avg(growth_mindset, critical_thinking)
weighted(integrity × 0.6, empathy × 0.4)
avg(resilience)
Research-Backed Scoring
Every weight in our model is grounded in peer-reviewed meta-analyses. Click any card to read the original paper.
Achievement motivation → GPA
Robbins, Lauver, Le, Davis et al. (2004)
Do psychosocial and study skill factors predict college outcomes?
participants across 344 samples
Howard, Bureau, Guay, Chong & Ryan (2021)
Student motivation and associated outcomes: A meta-analysis from SDT
Conscientiousness → GPA
Poropat, A. E. (2009)
A meta-analysis of the Five-Factor Model of personality and academic performance
participants, 228 studies
Mammadov, S. (2022)
Big Five personality traits and academic performance: A meta-analysis
Grit ≈ Conscientiousness overlap
Crede, Tynan & Harms (2017)
Much ado about grit: A meta-analytic synthesis of the grit literature
Leadership prediction reliability
Hogan, R. & Kaiser, R. B. (2005)
What we know about leadership
criterion performance from compensatory model
Ock, J. & Oswald, F. L. (2018)
Utility of personnel selection: Compensatory vs. multiple-hurdle models
How This Translates to Our Weights
Motivation
Strongest non-cognitive predictor of GPA (ρ = 0.30) and best predictor of who stays enrolled. Intrinsic drive matters more than test scores.
Leadership
Highest because inVision U seeks leaders — but limited to 30% because leadership measurement from video/transcript is noisier than other dimensions.
Growth
Maps to conscientiousness (r = 0.19-0.21), the most stable personality predictor of academic performance across 413,000+ participants.
Resilience
Smaller effect size (r = 0.16) but critical for finding hidden talent — strong candidates from tough backgrounds who don't self-present well.
Weights are expert-derived, not regression-optimized, to avoid overfitting on small samples. The compensatory model (strengths offset weaknesses) was validated by Ock & Oswald (2018) as producing higher criterion performance than threshold-based approaches.
Built for Fairness, Not Just Speed
Transparency and human oversight at every stage of the pipeline.
Human-in-the-loop for every decision
AI recommends, humans decide. No candidate is ever auto-rejected without expert review.
5 computational bias tests
Name-blind, region-blind, gender-neutral, distribution, and correlation audits run on every batch.
Full explainability across all signals
Every score is backed by direct evidence — video quotes, personality responses, and application text.
Multimodal, not text-dependent
Strong writers don't automatically win. Video, structured tests, and adaptive interviews are weighted equally.
Built With
Frontend
- Next.js 15
- React 19
- TypeScript
- Tailwind CSS v4
- shadcn/ui
- Motion
Backend
- Python 3.12
- FastAPI
- LangGraph
- aiogram 3.x
AI / Cloud
- Azure OpenAI (GPT-5.4-mini)
- Azure Speech STT
- Azure Language
- Azure Document Intelligence
Data
- PostgreSQL + pgvector
- JSON Cache
- Embeddings (text-embedding-3-small)