USE CASES
Hiring Decision Flow (ViewpointAI + Clarity)
Our goal: Enable structured, transparent, and collaborative hiring decisions using human judgment augmented by AI.
1. Decision Criteria (Define What Success Looks Like)
Purpose: Establish what the ideal hire will achieve and which attributes matter most.
Human Input: Define role responsibilities, required skills, experience, cultural fit, and growth potential.
Clarity’s Role: Suggests additional criteria based on similar roles, industry benchmarks, and organizational priorities.
Output: A weighted set of decision criteria (“viewpoints”) that serves as the foundation for candidate evaluation.
2. Data Capture (Build the Candidate Data Room)
Purpose: Collect all relevant candidate information in one place.
Human Input: Resumes, cover letters, interview notes, references, portfolios, assessments.
Clarity’s Role: Extracts structured data from unstructured sources, standardizes scoring (skills, experience, culture match), and flags missing or inconsistent data.
Output: A centralized, AI-enhanced candidate data room ready for evaluation.
3. Decision Making (Rank & Compare Candidates)
Purpose: Evaluate candidates against your defined criteria.
Human Input: Conduct interviews, review assessments, and provide qualitative input.
Clarity’s Role: Scores and ranks candidates based on criteria weights, highlights strengths/weaknesses, and identifies potential trade-offs.
Output: A ranked shortlist of candidates with transparent reasoning for each recommendation.
4. Decision Reporting (Transparency & Verification)
Purpose: Document how and why the hiring decision was made.
Human Input: Approve final candidate selection and provide contextual notes.
Clarity’s Role: Automatically generates a decision report, showing criteria applied, weighted scores, and supporting data — ensuring auditability and accountability.
Output: A clear, shareable hiring report for HR, leadership, and compliance purposes.
Core Capabilities Throughout
Human: Judgment, intuition, collaboration, context-specific insights.
AI (Clarity): Data extraction, scoring, ranking, trade-off analysis, and recommendations.
Collaboration: Multiple stakeholders can review criteria, discuss candidates, and provide input within the platform.
Analysis: Identify patterns, strengths, weaknesses, and gaps across candidates.
Reporting: Automated documentation ensures transparency and reduces bias.
Clarity’s role: Acts as an AI co-pilot throughout the hiring process guiding, analyzing, and verifying while humans make the final decision
Let’s Build Smarter, Faster Decisions Together
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