Keep These Biases in Mind when Interviewing (downloadable pdf) by Andi Cheney for PAHRTS: A list of common interviewing biases and examples.
Contrast Effect: comparing one candidate to another instead of to the job rubric.
Example: Between Beauregard and Susiya, Susiya would be more fun to chat with.
Halo Error: letting one characteristic overshadow/influence other areas
Example: She’s very friendly. She must be good at communicating.
First Impression: allowing your first impression to be determined by job-irrelevant data upon first meeting
Example: Tabitha clearly had helmet hair and windburn. She won’t be able to maintain a professional appearance.
Unfavorable Information: weighing too heavily on one unfavorable characteristic at the detriment to other favorable characteristics
Example: Geraldo doesn’t have any WordPress experience. It doesn’t matter that he has done a similar job.
Affect Heuristic: projecting negative feelings onto a candidate based on a shared characteristic with a group you perceive negatively
Example: I’ve worked with lawyers before, and I would never hire one.
Anchoring: overly relying on the first piece of information you hear.
Example: When asked how would she solve this type of problem, she said she would research it on the internet. There is no way she could work well on a team, unless they are computers.
Availability Heuristic: only the data you can recall can be used. This is why hiring rubrics are so helpful.
Example: Did Shahar say she knew her way around a spreadsheet? I can’t recall, but I bet she does.
Blind-spot: inability to recognize your own biases.
Example: I’m not intentionally hiring all blue-eyed workers, I just haven’t had any talented brown-eyed candidates!
Confirmation: judging a candidate based on what confirms your preconceptions.
Example: Of course Vero is a hard-worker, their entire family is dirt poor.
Leniency/Severity Effect: rating candidates “harshly” or “easily” rather than fairly across the rubric.
Example: None of those candidates did very well based on Rumia’s ratings. They never do though.