AI-Powered 360° Performance Evaluation

Structured assessments combining self-evaluation, peer feedback, and manager review with AI normalization to reduce bias and improve fairness in performance appraisals.

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Traditional Reviews Are Subjective and Inconsistent

Most performance reviews rely on isolated manager opinions, recency bias, and inconsistent criteria. Kaushall brings structure, evidence, and fairness to every appraisal cycle.

Context Engine

Uses CV, experience, job description, and structured Q&A to build a complete picture of each employee's capabilities.

Structured Self-Assessment

Role-aligned prompts ensure employees are evaluated against the skills that actually matter for their position.

Peer Feedback Integration

Collaboration and communication signals from peers add dimension to performance understanding.

Manager Review Context

Manager feedback is grounded in role performance data, not just gut feel or recent events.

AI Normalization

Multi-source signals are balanced by AI to reduce individual bias and create fairer overall scores.

Promotion Readiness

Appraisal data feeds directly into promotion readiness scores and succession planning insights.

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