With the Baby Bust kicking in all over the world, hiring is the number one issue for companies and solutions are thin on the ground. Research by Deutsch and Remillard, who wrote the book on hiring, found that there are 10 common mistakes that companies should avoid if they hope to achieve success in hiring.
The best contacts and resources to help you get it done
Job Descriptions
Interviewers tended to focus on experience and skills rather than the company’s expectations for the position. This is a strong mismatch which can be solved by taking it a step further.
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Performance Profiles; one step up from a JD.
Superficial Interviews.
There was little in the way of checking or verifying of candidate’s experience and education.
I recommend: Verify, don't test.
Over-emphasis on Resume.
Interviewers focused too much on details in the Resume such as education, technical skills, and industry experience.
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ERE offer information on a wide variety of areas.
Initial Impact.
Interviewers relied heavily on first impressions to make their hiring decisions.
I recommend: Watch out for the
Halo Effect.
Historical Bias
Hiring teams used only past performance to predict future results. This was thought be insufficient.
I recommend: There are a wide variety of selection methods available to round out
your view of a candidate.
Performance bias.
Candidates who ‘performed’ at interview tended to be chosen over real job performers.
I recommend: About dot com has the skinny on interviewing.
Active Candidates.
Companies tended to bottom feed and only attracted the active job seeker. Passive candidates were not succesfully targeted.
I recommend: Get a solid understanding of the motivation of candidates. Their motivations may not be what you expect. Everyone has their
own story.
Best Predictors.
Interviewers tended not to focus on self-motivation, leadership, comparable past performance, job-specific problem solving and adaptability, and these have been shown to be strong predictors of performance.
I recommend: Not all selection methods are equal but most have specific
level of predictability that can help you to choose the most appropriate method.