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Identifying biases in performance feedback

To effectively mitigate the risk of biased feedback, organizations must grasp the importance of identifying and tackling biases in performance evaluations.

First, take a moment to think about your own biases and consider taking courses or tests like the Implicit Association Test to uncover any hidden ones. Then, set up systems, procedures, and technologies to help identify common biases in performance feedback.

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Here are some common biases that might come up in performance reviews:

  1. Halo/Horns Bias: When one good or bad trait overshadows other attributes, leading to an imbalanced assessment.
  2. Similar-to-Me Bias: Giving higher ratings to individuals who resemble the rater regarding interests, skills, backgrounds, etc., potentially impacting diversity and inclusiveness.
  3. Confirmation Bias: Interpreting new information to confirm preexisting beliefs, making performance feedback less objective and more subjective.
  4. Gender Bias: Typically, focusing on personality and attitudes when evaluating women and behaviors and accomplishments when evaluating men.
  5. Racial Bias: Racial bias refers to the primarily unconscious thoughts, preconceptions, or experiences that cause people to think and act in prejudiced ways.

It's important to address biases when evaluating performance. This helps to be fair and provide feedback effectively throughout your organization. By acknowledging biases and using the right tools, companies can create systems that identify and address biases effectively. These efforts make the environment more inclusive and fair for everyone involved, which is helpful for their growth and success.

Learn more about our free trial of Textio Lift here to help you identify common biases like these.

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