AI-Enhanced Evaluation Platform

Transform Faculty
Performance Into
Actionable Insights

An AI-powered evaluation system that turns student feedback, peer reviews, and performance data into evidence-based recommendations — helping academic institutions thrive.

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SOC 2 Compliant
Data Anonymized
FERPA Aligned
AI Prediction
Trajectory: Improving ↑
Risk Level: Low
Confidence: 92%
AI ANALYSIS
4.61
Overall Performance
Scroll to explore
8+
Faculty Members Evaluated
0+
Student Responses Processed
69%
AI Prediction Accuracy
30+
AI Recommendations Generated
Platform Features

Everything you need to evaluate,
and then some.

Built for administrators, faculty, QA teams, and students. One platform, every role covered.

PDF Results Ingestion

Upload official evaluation result PDFs. The system extracts scores, aggregates data, and prepares it for analytics and decision support.

PDF Upload Extraction Automation

Advanced Analytics

Interactive dashboards with department comparisons, semester trends, score distributions, and benchmark analytics at every level.

Benchmarking Trends Charts

Privacy & Compliance

Role-based access control, audit trails, and compliance-ready reporting that protects stakeholders and supports governance.

Audit Trail RBAC Governance

Evidence-Based Recommendations

AI generates prioritized, actionable guidance for each faculty member — critical, high, medium, or low priority with clear reasoning.

Prioritized Actionable

Multi-Role Support

Tailored dashboards for Guidance Administrators, Faculty, Program Chairs, Deans, VPAA, and QA teams.

Admin Faculty Governance

Decision Support System

Regression analytics, what-if simulation, trend/risk flags, and AI-assisted narratives to support evidence-based academic decisions.

DSS What-If AI Insights
The Process

How FacultyEval Works

From uploaded evaluation PDFs to AI-assisted action plans in four seamless steps.

01

Upload Result PDFs

Administrators upload official faculty evaluation result reports completed through institutional processes.

02

Extract & Aggregate

The system parses PDFs and computes category scores (A, B, C) and overall ratings automatically.

03

AI & Statistical Analysis

Trend/risk flags, sentiment themes, regression DSS, and AI-assisted narratives support interpretation.

04

Act on Insights

Leaders receive prioritized, evidence-backed recommendations to support faculty growth and institutional goals.

Real-Time Analytics

See the full picture,
every semester.

Track performance across departments, identify improvement trends, and benchmark against institutional targets — all in one place.

A. Management of Teaching and Learning 5.5 / 5.0
B. Content Knowledge, Pedagogy, and Technology 4.6 / 5.0
C. Commitment and Transparency 3.7 / 5.0
Department Overview
First Semester AY 2024–2025
Live
College of Arts, Sciences, and Technology / Bachelor of Science in Information Technology 4.9
10 grps
College of Arts, Sciences, and Technology / Bachelor of Science in Social Work 4.9
49 grps
School of Hospitality Management / Bachelor of Science in Hospitality Management 4.5
21 grps
College of Criminal Justice Education / Bachelor of Science in Criminology 4.4
10 grps
College of Arts, Sciences, and Technology / Bachelor of Science in Development Communication 4.2
19 grps
109
Groups
4.58
Avg Score
↑ 0.3
vs Last Sem
Testimonials

Trusted by Educators,
Loved by Institutions

Hear from administrators, faculty, and QA teams who use FacultyEval every semester.

2.0

"Must have improvment in the reports page."

JM
Josh Maluka
Program Chair · —
2.0

"Must have improvment in the reports page."

JM
Josh Maluka
Program Chair · —
2.0

Average rating from 1+ verified users

About the System

Built for Philippine
Academic Excellence

FacultyEval was designed specifically for higher education institutions, with processes aligned to CMO requirements and CHED accreditation standards.

Our platform bridges the gap between raw evaluation data and meaningful institutional action — combining secure data management with cutting-edge AI to give administrators and faculty a clear, honest, privacy-respecting view of performance.

Access the System

Privacy First

Student identities are always anonymized. No feedback is ever traced back to an individual.

AI as Decision Support

AI informs, not decides. Final decisions always rest with qualified humans.

Audit Transparency

Every action logged. Full traceability for accreditation and compliance reviews.

Continuous Improvement

Track growth semester over semester and celebrate measurable institutional progress.

Ready to elevate your
faculty evaluation?

Sign in now and experience AI-powered academic excellence firsthand.

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Demo Credentials
Admin: admin@facultyeval.edu / admin123
Faculty: maria.santos@facultyeval.edu / faculty123
Student: pedro.garcia@facultyeval.edu / student123
QA/HR: ana.reyes@facultyeval.edu / qa123