There are several reasons why Google's new approach is worthy of further study: ' h( R. k9 ?0 L/ [6 I- y2 a
6 f7 ?) J3 l) q. ~Google had an incredible track record and no compelling reason to make a major shift in its recruiting approach. It takes extraordinary leadership to make a significant shift in your approach to recruiting without the pressure of business losses, lawsuits, or union pressure. Google decided to get significantly better long before any business pressure made them change. " {& p# O5 }5 X$ U+ H
) _1 E$ f$ |; S& y; \The recruiting team at Google is making the transition from the common "intuition" approach to a scientific, data-based approach to selection. Much like what Dan Hilbert has done at Valero Energy, this change results in decisions made on facts and data.
$ T1 I& b+ O: c; m! R: p7 J: M6 m% v* ?4 e7 U: p7 E, a
By broadening the range of factors considered when screening candidates, the resulting slate of hires will become more diverse and the number of innovative people (who don't have near-perfect academic credentials and industry pedigree) who get selected will improve.
6 U C4 X7 f1 u3 P: J3 w; Q9 I4 o+ c2 f! H- I8 [1 ~9 e. |3 i
This approach will undoubtedly reduce the reliance on interviews, which have ridiculously low rates of success in predicting on-the-job performance. (Laszlo Bock, Google's Vice President of People Operations, routinely admits, "Interviews are a terrible predictor of performance.")
" B6 t( p" P( q; I' a" V
2 H& S( z" T& P f" |! nGoogle is in the search engine business, and as a result, they routinely use "algorithms" to identify the best search results on the business side of the enterprise. By adopting commonly used internal business tools into the recruiting process, the recruiting function sent a message to managers that recruiting understands the business model, as well as that it is smart enough to take advantage of the world-class knowledge and talent on the "business side" by applying it directly to the recruiting process. I; Q7 N8 Y# w
# p0 S. g( e* ^/ F& L% a7 j2 oOverview of the Algorithm Candidate Screening Model
; d5 l. j. ?- ?4 N0 z* [The new approach to candidate screening was developed by a team that included Laszlo Bock (formerly from GE) and Todd Carlisle (who is speaking at ERE's Spring Expo in San Diego). The goal was to identify all of the factors that predict future on-the-job performance and success. ; j5 x9 ]1 o0 ?9 J% Q* x" @
; h3 {# h" {+ ~; i/ MThe basic approach is quite simple. First, you survey current employees on a variety of characteristics and traits, including teamwork, biographical information, past experiences and accomplishments (i.e., have they started a company, written a book, won a championship, set a record). " }8 y& w% D' Z4 X5 X- L
g, t+ p0 S1 p3 V+ H
Next, you statistically determine which of these many traits your top performers and most impactful employees' exhibit that differentiates them from bottom performing and average employees. " u' \1 ~* R) M; a5 U( N" f( h, U
2 K6 H6 e2 _5 ]6 zFinally, you develop an online survey to gather the predictive information from applicants. Then each candidate's biodata survey and resumes are screened electronically and given a score between zero and 100 based on how many of the top performance indicators each candidate possesses. (It's important to note that using biodata to screen candidates is not a new process, but is quite rare in companies that hire large numbers of professionals.)
6 z$ C7 J# C# |8 D/ w/ b, k" E# m9 W! ~& D
Soon, all applicants at Google will be asked to fill out this extensive bio-data questionnaire. While some may find it a little inconvenient, the net result will be a more scientific approach to selection, which will over time translate into more productive hires and fewer "misses" of top performers who can do the job in spite of their lack of stellar academic qualifications.
1 Y& [" q) C# v+ I' E f7 J$ g. v" y
Final Thoughts
8 p$ f0 `9 J! H7 `The Google culture is unique in that it questions almost every assumption or process that governs traditional organizations. Managers are free to try new approaches, to make huge mistakes, and to celebrate learning from failure. The result of this organizational methodology is a recruiting function that does not confine to traditional approaches.
0 O: C6 ~" B5 P+ A8 A/ }* l. Y$ }: L2 z7 c; D
The focus isn't on reducing cost per hire by $0.10, but rather on dramatically increasing the success rate of the function to hire individuals capable of becoming top performers. All too often, organizations become overly obsessed with efficiency and lose sight of why the function exists in the first place, a reality that leads to numerous expectations being ignored. Many organizations are realizing this. In late 2006, we began seeing a number of organizations radically rethink what they do.
+ O% A4 j$ K; a8 Y, \) x! s8 ], P" J# w5 r+ k* E. Q, o
Google has launched some exciting new practices, and other organizations are poised to follow. All assumptions in recruiting must be challenged, and reliance on processes architected nearly a century ago must end. In the near future, all recruiting decisions will be based on data. + C6 A; l7 k* }7 k. v/ o- F+ t
; p2 o* ]( z& J) Y8 J! S) A
Our industry owes thanks to Laszlo and Todd for raising the bar and becoming a role model by helping make Google recruiting more scientific and metrics driven.7 T- Z& N% j' f' C. }
# k2 f% N h) v, e, q6 v(Note: Dr. Sullivan does not now, nor has he ever had, a financial relationship with Google.) |