USE CASES
Admissions Decision Flow (ViewpointAI + Clarity)
Our goal: Enable structured, transparent, and fair admissions decisions by combining human judgment with AI-powered analysis.
1. Decision Criteria (Define Admissions Goals)
Purpose: Establish what the admissions decision is trying to achieve.
Human Input: Define key criteria such as:
Academic performance and potential
Standardized test scores (if applicable)
Extracurricular achievements and leadership
Diversity and inclusion objectives
Fit with the institution’s values, programs, and culture
Clarity’s Role: Suggests additional criteria based on historical admissions outcomes, peer benchmarks, and program-specific priorities.
Output: Weighted decision criteria and viewpoints forming the baseline for applicant evaluation.
2. Data Capture (Build the Applicant Data Room)
Purpose: Collect all relevant applicant information in one place.
Human Input: Transcripts, test scores, essays, recommendations, interviews, portfolios, and other supporting materials.
Clarity’s Role: Extracts and standardizes data from documents, identifies missing information, flags inconsistencies, and integrates contextual data (e.g., school profile, demographic trends).
Output: Centralized, AI-enhanced applicant data room ready for evaluation.
3. Decision Making (Rank & Compare Applicants)
Purpose: Evaluate applicants against defined criteria.
Human Input: Review qualitative factors such as personal statements, interviews, letters of recommendation, and demonstrated fit.
Clarity’s Role: Scores and ranks applicants based on weighted criteria, highlights trade-offs and risk areas, and enables scenario modeling (e.g., balancing academic merit with diversity goals).
Output: Ranked list of applicants with transparent reasoning for each recommendation.
4. Decision Reporting (Transparency & Verification)
Purpose: Document and communicate the admissions decision process.
Human Input: Approve final admissions decisions and provide contextual notes for committees or stakeholders.
Clarity’s Role: Automatically generates a report showing criteria applied, weighted scores, reasoning, and supporting data for each applicant.
Output: Transparent, auditable admissions report suitable for committees, leadership, and compliance review.
Core Capabilities Throughout
Human: Expertise, judgment, institutional context, values alignment
AI (Clarity): Data extraction, scoring, ranking, trade-off analysis, scenario modeling
Collaboration: Admissions committees, faculty, and advisors can review criteria and discuss applicants
Analysis: Identify patterns, trends, and potential biases in applicant pool
Reporting: Automated documentation ensures transparency, accountability, and traceability
Clarity’s role: Acts as an AI co-pilot throughout the admissions process — guiding criteria definition, analyzing applications, highlighting trade-offs, and generating transparent reports — while humans make the final selection decisions.
Let’s Build Smarter, Faster Decisions Together
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