Recruiting

How to Handle Attention-Seeking Candidates

Yesterday we looked at some of the results of a study done by CareerBuilder® into what extremes candidates will go to in order to get noticed. Today we’ll go over a few more examples and what you might do if you run into a similar candidate.

Candidate arrived to interview in a white limousine, 1 hour early, dressed in a three-piece suit. The open position was middle-wage and had a required dress code of khakis, company button-down, and black shoes.

Should this happen, let the bells of warning ring clear. Putting their notions of punctuality aside, you want someone who well fits the position. If the candidate is already too big for his or her breeches before he or she even starts, you’ll be filling that position again as soon as the interviewee finds a better job.

Candidate kissed hiring manager.

Sexual harassment much? Avoid this candidate like the plague. Things like kissing, hugging, or other inappropriate behavior on the part of the interviewee so early in the process clearly shows that there might be much more serious problems down the road.

Candidate gave hiring manager a book on a subject he knew candidate manager enjoyed.

Before LinkedIn®, this would probably be strange and uncomfortable. However, if your information is on a professional social network, don’t be surprised if your candidate has read it. Ask them if they read the book; if they have, you might have a very dedicated worker sitting in front of you. If they have not, their gift is a lot less meaningful.

Candidate wore a tie that had the name of the company he was interviewing with on it.

Compared to the rest of the items on this list, this seems very mild. A little team spirit never hurts.

Survey Methodology
The nationwide survey was conducted online within the United States by Harris Poll on behalf of CareerBuilder among 2,367 hiring and human resource managers aged 18 and over (employed full-time, not self-employed) between May 11, 2016, and June 7, 2016. With a pure probability sample of 2,367, one could say with a 95% probability that the overall results have a sampling error of +/- 2.01 percentage points, respectively.

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