Two performance reviews can describe the same work entirely differently: one person's 'attention to detail' versus another's 'inflexibility,' or one's 'collaborative spirit' versus another's 'failure to take initiative.' Analyzing how the same traits get framed across different employee reviews reveals whether the language itself carries unequal weight or judgment.
Comparative framing analysis is the use of AI to examine how language, attribution, and narrative framing differ across performance reviews written for different employees in similar roles, exposing double standards.
AI can detect whether the same behavior is framed as initiative in one review and insubordination in another, giving employees documented linguistic evidence of biased evaluation that supports formal complaints or legal claims.
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