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Boolean Search Conquers Impossible Google Position

Posted at February 3, 2010

Google Gang Sign by Silona creative commonsWhen I run recruiter training classes, I often ask for the trainees to bring me example positions they are having trouble working on to use for live sourcing training.

During one such class (a little over 2 years ago), I had a recruiter bring me an opening for a challenging position at Google that had been open for a while. He had been working this position for a couple of weeks and had failed to produce a single candidate that Google was interested in interviewing. 

Many Had Already Tried and Failed…

As I asked him for a little background on the position, I found out it had been open for 4 months. 

That’s almost always a bad sign to a recruiter, as it had no doubt been thoroughly beaten up by countless other recruiters/vendors to Google. However, he assured me this was not a “black hole” requirement and that Google would indeed interview and hire candidates.

Now, the position this recruiter was working on was a network performance test engineer, which poses some unique searching challenges because most of the Boolean search strings that recruiters will employ will result in many false positives – resumes of candidates that contain all of the search terms, but who are not primarily responsible for the performance testing of networks. A simple game of “buzzword bingo” would not work for this position.

This was also independently verified by Google, as they commented that most of the candidates they were receiving were not appropriately qualified – most were QA/test engineers who had performance tested software and network applications, but not networks and network hardware specifically.

Give Me Four Hours to Chop Down a Tree…

When I first accepted the challenge of helping this recruiter, my initial searches did pull many false positives. However, after about 20 minutes of manipulating search strings and observing the corresponding changes in the results, I came up with a handful of Boolean queries that resulted in fewer false positives and a larger percentage of resumes of people who were primarily responsible for the performance testing of networks.

Once I gave these searches to the recruiter and he put them to use, in 2 weeks he called to let me know Google had already hired one of his candidates he had found using the Boolean search strings, and he had an interview request for another.

Where Did He Find the Candidates No One Else Could Find?

So where do you think he found these candidates that no one else had been able to find and submit to Google for the network performance testing positions?

Cold calling? Referral recruiting? Blogs? User groups? LinkedIn? Twitter? Facebook?

Nope – he found them on (drumroll please)…………..Monster.

Yes – this recruiter was able to use a resume database that presumably quite a few (if not all) other vendors to Google (and likely Google’s contract recruiters as well) had access to and most likely used to try and find candidates for these positions for several months.

Interestingly enough, the candidates this recruiter was able to find were not new candidates who just posted their resume – their resumes were over 3 months old, which tells me that they had been in Monster’s resume database ever since Google released their network performance testing positions.

I specifically point this out because I love to continuously disprove the commonly held belief that if many recruiters have access to the same resume database that they will be able to find the same candidates, the best candidates, and all of the appropriately qualified candidates.

Holding onto that belief is as foolish as thinking that if 10 people go fishing in the same lake, that they will all catch the same fish, as well as the biggest fish in the lake.

Job Board Resume Databases Do Have High Quality Talent

This is also a good example of how, contrary to popular belief, you actually CAN find extremely good candidates (Google is notoriously elitist, which I respect) on the job boards. I continue to see well-respected recruiting and staffing thought leaders comment on how the job boards have mostly “mediocre” and declining levels of talent.

This may be subjectively true, but certainly not objectively true. Besides, when’s the last time they ran a search and hired someone from a job board? Nothing bothers me more than people talking about something they have little-to-no direct experience with. 

All Boolean Search Strings “Work”

I am 100% positive MANY recuriters searched Monster in an attempt to find candidates for the network performance testing positions at Google. But there’s a funny thing about Talent Mining – you’re only aware of the candidates you actually find, and conversely, you are not aware of the candidates you didn’t find.

However, that does not mean the candidates you want and need aren’t in the database you’re searching. It just means you weren’t capable of finding them. When most recruiters search any particular database, including their own ATS or LinkedIn, and don’t find the people they’re looking for, they assume the candidates don’t exist.

But they’re there. Trust me.

The Power of Talent Mining with Boolean Search Strings

Here’s the search string that produced one of the candidates who was hired at Google:

Test* and (qa or quality) and (perl or tcl*) and (cisco or rout*) and (lab* or case* or plan* or script*) and (ixia or smartbit* or “smart bit”) and (L2* or LACP or STP or RSTP or VRRP or UDLD) and protocol* and (bgp* or eigrp or rip or ospf or mpls)

Interestingly, most of the search terms in the string above were not in the job description or required skills.

So it took me about 20 minutes of experimenting and refining search strings to come up with that search, from which a recruiter was able to make a hire from less than 10 phone calls on a position that had been worked for 4 months by countless other recruiters who had access to the exact same database.

How’s that for ROI?

That’s the power of effective e-talent discovery.

Hidden Talent Pools, Human Capital Data, Monster, Resume Sourcing, Sourcing and Recruiting, Talent Mining
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Comments

13 Responses to “Boolean Search Conquers Impossible Google Position”
  • Paul says:
    at

    Just a brilliant read as usual, I would have loved to have seen the orignal spec to see where and how that string was built!

    Thanks as always Glen!

  • Sara Chi says:
    at

    Excellent article Glen ! I’ve heard recruiters want unique candidates said “resumes in the job board database are low hanging fruits”, or they can do internet search themselves so they want researchers to find special way tapping into the talents…

    One size doesn’t fit all, and monetary ROI is overlooked big time in recruitment research. You get what you pay for.

  • Ben C says:
    at

    Once again you make something that a scary percentage of recruitment professionals think is the impossible, seem more like simple common sense.

    This is a great anecdote and once again I’ll be directing all my colleagues to your article. Many thanks. #hopetothemasses/lightattheendofthetunnel

  • Fran Holm Hogan says:
    at

    Seriousy impressive…..Well Done!

  • George Clay says:
    at

    Thanks Glen, great as always!…since this was 2 years I thought I would just cut&paste the string and see what results it would bring back today, and wanted to change a few things and see how the results varied. But all I get back is your article!
    Is there something I’m missing as far as being able to run that search string now?

  • Tony says:
    at

    Hey Glen

    Great Post.

    Now what would you do if your were working on a shoe string budget and have not paid up for Monster and Yahoo jobs?

    Just curious

  • jer says:
    at

    i <3 the fact that google is hiring off monster

  • Boolean Black Belt says:
    at

    @Jer – I *know,* right? We all know Monster only has desperate unemployable “C” players. :-)

    @Tony – I’d first hit our internal database of 4M candidates, then LinkedIn and the usual free sources.

    @George – that string was designed for Monster. I just tried it there and it still works magic.

    @Sara – Agreed! Monster does have a huge resume database, and it is worth paying for.

    @Ben and Fran – thanks!

    @Paul – I was able to dig up the original specs:

    Description:
    Looking for someone with hands-on experience testing networking equipment(specifically routers or switches, an understanding of networking protocols, experience in testing, a background in IP network design, operations, or management, and a passion for delivering top quality products.

    Responsibilities:
    Design, develop, and execute test plans for networking features, equipment, and systems. Contribute to the design of new networking systems.
    Working with and/or developing test automation tools.
    Certify software releases for general use. Working with development teams to develop software and hardware systems.

    Requirements:
    BS in computer science or equivalent. MS or PhD is a plus
    Experience working with and testing multiple L2 and L3 networking protocols is an absolute must.
    Experience testing and knowledge of Routing Protocols
    Experience testing and releasing networking products.
    Must have worked in an Engineering Network Test Environment- NOT Production!
    A strong understanding of networking systems including TCP/IP and Ethernet.
    Working experience of test tools including Smartbits, Ixia and protocol analyzers.
    Linux experience is a plus.

  • Anshuman Mukherjee says:
    at

    Good Article..

    Thank you, for sharing

    Anshuman

  • WP Strauss says:
    at

    Love reading your posts and the way you extract value from data.

  • Sanoop says:
    at

    Very interesting…

    Thanks for sharing this…

    Sanoop

  • Alex Putman says:
    at

    Thanks Glen, your articles and information are extremely helpful. I distributed your blog to my entire team as highly suggested reading! They loved it as well!

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About Me

I have significant experience with and passion for leveraging technology and Lean principles to achieve high quality hires in a Just-In-Time manner. I'm a power user of Social Media, ATS and CRM applications, job board resume databases, the Internet, Boolean queries and semantic search for recruiting.

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