Tags: | Posted by Admin on 1/3/2007 10:37 AM | Comments (0)
Only at Google. The company known for hiring the best and the brightest and only accepting those candidates with the highest grade point averages and SAT scores has now found an algorithm to help predict which candidates will make the best Google employees. Job applicants will now complete a detailed online survey including questions like: “Have you ever made a profit from a catering business or dog walking? Do you prefer to work alone or in groups? Have you ever set a world record in anything?” (The New York Times). I am a bit skeptical. I do not think that an algorithm is an ideal way to select the right person for the right job. I like to think that we are much too complex as human beings to be reduced to a single number determining whether or not we would be a outstanding employee. On the other hand, Google search algorithms are the best, so who knows, maybe Google is on the right track. Next in the Google product family: “Algorithmic Dating”, the online survey guaranteed to find your ideal mate brought to you by Google Algorithms.
Tags: | Posted by Admin on 10/23/2006 8:40 AM | Comments (0)
The 10/23/06 "Wall Street Journal" reports that Google is revamping its hiring methods. Google is on the right track, but is sorely missing crucial pre-employment tests plus other prediction methods.  The 10/23/06 "Wall Street Journal" reports on Google revamping its hiring methods. Hiring expert Michael Mercer, Ph.D., says Google is on the right track, but is sorely missing crucial pre-employment tests plus other prediction methods. Dr. Mercer created pre-employment tests and authored five books, including "Hire the Best -- & Avoid the Rest." "Google needs a step-by-step hiring process, such as my "7-Step Method to Hire the Best(tm)," explains Dr. Mercer. "My 7-Step Method to Hire the Best(tm) zooms in on predicting if an applicant has skills and talents similar to the company's high-achievers or superstars." It is progressive: If an applicant rates high on the first prediction step, then the applicant is allowed to try the second prediction method, and so on. If an applicant earns only an average or worse rating on any prediction method, then that is the end of considering the applicant. (After all, who wants to hire an average or worse job applicant?) Dr. Mercer revealed his seven pre-hire prediction methods that he recommend all companies use -- including Google -- along with comments on how well Google currently does it. First, is Brief Initial Screening Interview -- focused on whether applicant has biographical data similar to its superstar employees. "Google falls short here," observes Dr. Mercer, "because it needs to identify the bio-data of successful employees in each job which WSJ did not say Google does." Second, are customized Pre-Employment Tests -- so a company can prefer job applicants who get test scores similar to its superstar employees' test scores. Dr. Mercer comments, "Unfortunately, Google does not do pre-employment tests. In fact, Google asks job applicants to identify their personality traits and past standardized test scores! That makes no sense. Reason: Any applicant with the IQ above tire pressure, including Google's typical applicants, can figure out if they should say they are, for instance, teamwork-oriented or creative or good at math or other job talents." Third, should be the In-Depth Interview -- delving into the 6 - 9 most important job talents. While Google does an average of 5.1 interviews for hired applicants, there is no indication interviewers have a neatly laid-out list like Dr. Mercer would create of (a) 6 - 9 most important job talents, (b) specific questions to ask to assess each job talent, and (c) specific applicant actions to observe during interview. "Who knows what each interviewer asks? Also, WSJ did not say interviewers were trained in how to conduct a customized, In-Depth Interview." Fourth is a Work Simulation or Role-Play -- forcing applicant to demonstrate key job skills. Here, Google seems to shine -- partly. It gives applicants "homework." Dr. Mercer notes, "But, the work simulation should be done in the Google office. Otherwise, applicants can take it home, get friends to help, or even have someone else do the "homework" or work simulation for them! Also, after the Work Simulation the applicant should be asked to deliver a brief presentation, so Google can assess communications skills." Fifth, Google definitely should conduct a Realistic Job Preview -- in which job applicant spends 4 - 10 hours watching an employee actually do the job the applicant is applying for. Apparently, Google fails to do this. "Given its corporate culture and job demands, this is a huge gap in its hiring method -- and one I strongly recommend Google start doing," advises Dr. Mercer. Sixth are Reference Checks -- getting applicant's ex-bosses to "spill the beans" about the person's good and bad work qualities. Dr. Mercer devised a way to "weasel" truthful reference checks from ex-bosses who may feel unwilling to open up. But, WSJ's article did not report on Google doing ultra-revealing Reference Checks. Finally, Google does great at having 1 Executive Approve/Disapprove Each Hiring Recommendation. "The purpose of this is to assure the applicant received positive ratings on all of the first six steps of my 7-Step Method to Hire the Best(tm)," explains Dr. Mercer. "Here, Google excels -- because one of its co-founders, Larry Page or Sergio Brin, reviews hiring recommendations. Wisely, they sometimes do not allow managers to hire certain job applicants." Overall, Dr. Mercer says, "For Google to grow from big to bigger, it needs a customized, structured hiring method. Google aims to shorten its hiring process. But, unless Google researches and creates an organized method, such as my 7-Step Method to Hire the Best(tm), it could save a few dollars -- but waste millions on bad hiring decisions."   Original story