Feedback Bias Checker
Is your feedback fair? Paste it below and our AI will scan for unconscious bias, gendered language, and vague criticism — then show you how to fix it.
Analysis Results
Higher is better (100 = no bias detected)
Summary
Bias Indicators Found
No Significant Bias Detected
This feedback appears to be objective and behavior-focused. Great job!
What This Feedback Does Well
Suggested Improved Version
Why Check for Bias in Feedback?
Unconscious bias in performance reviews isn't just unfair — it's costly:
- Career derailment — Biased feedback directly impacts promotions, raises, and stretch assignments
- Legal exposure — Discriminatory language in reviews is discoverable in lawsuits and can cost millions
- Wasted development — "Improve your attitude" gives no actionable path forward
- Talent loss — Top performers leave when they sense unfairness in the system
- Culture damage — Word spreads fast when reviews feel political rather than performance-based
The 6 Types of Feedback Bias (And How to Spot Them)
Gendered Language
The same behavior gets different labels. "Assertive" becomes "aggressive." "Confident" becomes "bossy." Research shows women receive 2.5x more negative personality feedback than men.
Vague Criticism
"Needs to step up." "Should be more professional." These phrases feel meaningful but give zero actionable guidance. They often mask the reviewer's inability to articulate specific concerns.
Personality vs. Behavior
"You ARE lazy" attacks identity. "You MISSED deadlines" describes behavior. One triggers defensiveness; the other enables change. Effective feedback always targets actions, not character.
Recency Bias
The brain overweights recent events. A single mistake in December can overshadow 11 months of excellence. Fair feedback samples the entire review period.
Halo/Horn Effect
One strong impression colors everything. A charismatic presenter gets inflated scores across all competencies. A quiet introvert gets underrated despite excellent work.
Attribution Bias
Success gets attributed to luck or help; failure gets attributed to character. "She got lucky" vs. "He's talented." Watch for language that credits circumstances over capability.
5 Rules for Bias-Free Feedback
Situation → Behavior → Impact. "In Monday's standup (S), you interrupted twice (B), which prevented others from sharing blockers (I)."
Instead of "She's disorganized," try "She submitted 2 of 5 reports late." Verbs describe actions; adjectives judge character.
Would you write this about someone of a different gender, race, or age? If "aggressive" feels wrong for a man, don't use it for a woman.
"Often late" is subjective. "Late to 4 of 10 meetings" is factual. Numbers remove interpretation.
Would you say this directly to the person? If it sounds harsh or vague out loud, rewrite it.
Want Comprehensive 360 Feedback?
Get anonymous peer feedback with AI-powered analysis. Identify blind spots and accelerate your growth.
Run Your Free AI 360 FeedbackFree forever. No credit card required.