Category Archives: Resume Sourcing

100+ Free Sourcing & Recruiting Tools, Guides, and Resources

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It’s been a LONG time coming, but I finally got around to updating my free sourcing & recruiting tools, guides and resources page where I now keep a current list of the best of my work all in one place for easy bookmarking and reference.

You can find it here on my main page:

 

Here is where you can find all of the best of my Boolean Black belt content all in one place - free sourcing and recruiting how-to guides, tools, presentations, and videos - be sure to bookmark it, and if you're feeling friendly, tweet it, share it on LinkedIn and/or +1 it on Google Plus. Many thanks!

 

Additionally, I thought I might as well put all of my best work all in one blog post as well – over 110 of my articles in one place for easy referencing!

My blog is a pursuit of passion and not of profit – if you’ve ever found anything I’ve written helpful to you, all I ask is that you tweet this out, share it on LinkedIn, like it on Facebook, or give this a +1 on Google.

Many thanks for your readership and support – please pay it forward to someone who can benefit.

Big Data, Analytics and Moneyball Recruiting

Big Data, Data Science and Moneyball Recruiting

The Moneyball Recruiting Opportunity: Analytics and Big Data

Human Capital Data is Sexy – and Sourcing is the Sexiest job in HR/Recruiting! 

Is Sourcing Dead? No! Here’s the Future of Sourcing

The End of Sourcing 1.0 and the Evolution of Sourcing 2.0

How to Find Email Addresses

How to Use Gmail and Rapportive to Find Almost Anyone’s Email Address

Social Discovery

2 Very Cool and Free Social Discovery Tools: Falcon and TalentBin

Talent Communities

The Often Overlooked Problem with Talent Communities

Lean / Just-In-Time Recruiting / Talent Pipelines

What is Lean, Just-In-Time Recruiting?

Lean Recruiting & Just-In-Time Talent Acquisition Part 1

Lean Recruiting & Just-In-Time Talent Acquisition Part 2

Lean Recruiting & Just-In-Time Talent Acquisition Part 3

Lean Recruiting & Just-In-Time Talent Acquisition Part 4

The Passive Candidate Pipeline Problem

Semantic Search

What is Semantic Search and How Can it Be Used for Sourcing and Recruiting?

Sourcing and Search: Man vs. Machine/Artificial Intelligence – My SourceCon Keynote

Why Sourcers Won’t Be Replaced By Watson/Machine Learning Algorithms Any Time Soon

Diversity Sourcing

How to Perform Diversity Sourcing on LinkedIn – Including Specific Boolean Search Strings

How to Use Facebook’s Graph Search for Diversity Sourcing

Social Recruiting

How to Find People to Recruit on Twitter using Followerwonk & Google + Bing X-Ray Search

Google Plus Search Guide: How to Search and Find People on Google Plus

Facebook’s Graph Search Makes it Ridiculously Easy to Find Anyone

How to Effectively Source Talent on Social Networks – It Requires Non-Standard Search Terms!

How a Recruiter Made 3 Hires on Twitter in Six Weeks!

Twitter 101 for Sourcers and Recruiters

Anti-Social Recruiting

How Social Recruiting has NOT Changed Recruiting

Social Recruiting – Beyond the Hype

What Social Recruiting is NOT

Sourcing Social Media Requires Outside the Box Thinking

Social Networking Sites vs. Job Boards

LinkedIn Sourcing and Recruiting

Sourcing and Searching LinkedIn: Beyond the Basics – SourceCon Dallas 2012

LinkedIn’s Dark Matter – Profiles You Cannot Find

How to Get a Higher LinkedIn InMail Response Rate

The Most Effective Way to X-Ray Search LinkedIn

LinkedIn Catfish: Fake Profiles, Real People, or Just Fake Photos?

LinkedIn Search: Drive it Like you Stole It – 8 Minute Video of My LinkedIn Presentation in Toronto

How to Search LinkedIn and Control Years of Experience

How to Quickly and Effectively Grow Your LinkedIn Network

How to View the Full Profiles of our 3rd Degree Connections on LinkedIn for Free

How to Find and Identify Active Job Seekers on LinkedIn

LinkedIn Profile Search Engine Optimization

Free LinkedIn Profile Optimization and Job Seeker Advice

Do Recruiters Ruin LinkedIn?

The 50 Largest LinkedIn Groups

How to See Full Names of 3rd Degree LinkedIn Connections for Free

How I Search LinkedIn to Find People

LinkedIn’s Undocumented Search Operator

Does LinkedIn Offer Recruiters any Competitive Advantage?

Have You Analyzed the Value of Your LinkedIn Network?

Where Do YOU Rank In LinkedIn Search Results?

What is the Total Number of LinkedIn Members?

Beware When Searching LinkedIn By Company Name

LinkedIn Sourcing Challenge

How to Search for Top Students and GPA’s on LinkedIn

What’s the Best Way to Search LinkedIn for People in Specific Industries?

18 LinkedIn Apps, Tools and Resources

LinkedIn Search: What it Could be and Should be

How to Search Across Multiple Countries on LinkedIn

Private and Out of Network Search Results on LinkedIn

How to “Unlock” and view “Private” LinkedIn Profiles

Searching LinkedIn for Free – The Differences Between Internal and X-Ray Searching

Sourcing and Boolean Search

Basic Boolean Search Operators and Query Modifiers Explained

How to Find Resumes On the Internet with Google

Challenging Google Resume Search Assumptions

Don’t be a Sourcing Snob

The Top 15 Talent Sourcing Mistakes

Why Boolean Search is Such a Big Deal in Recruiting

How to Become a World Class Sourcer

Enough with the Exotic Sourcing Already – What’s Practical and What Works

Sourcing is So Much More than Tips, Tricks, Hacks, and Google

How to Find, Hire, Train, and Build a Sourcing Team – SourceCon 2013

How to Use Excel to Automatically Build Boolean Search Strings

The Current and Future State of Sourcing

Why So Many People Stink at Searching

Is your ATS a Black Hole or a Diamond Mine?

How to Find Bilingual Professionals with Boolean Search Strings

How to Best Use Resume Search Aggregators

How to Convert Quotation Marks in Microsoft Word for Boolean Search

Boolean Search, Referral Recruiting and Source of Hire

The Critical Factors Behind Sourcing ROI

What is a “Boolean Black Belt?”

Beyond Basic Boolean Search: Proximity and Weighting

Why Sourcing is Superior to Posting Jobs for Talent

The Future of Sourcing and Talent Identification

Sourcing is an Investigative and Iterative Process

Beyond Boolean Search: Human Capital Information Retrieval

Do you Speak Boolean?

Is Recruiting Top Talent Really Your Company’s Top Priority?

Sourcing is NOT an Entry Level Function

Boolean Search Beyond Google

The Internet Has Free Resumes. So What?

How to Search Spoke, Zoominfo and Jigsaw for Free

Job Boards vs. Social Networking Sites

What to Do if Google Thinks You’re Not Human: the Captcha

What if you only had One Source to Find Candidates?

Passive Recruiting is a Myth – It Doesn’t Exist

Sourcing: Separate Role or Integrated Function?

The #1 Mistake in Corporate Recruiting

How I Learned What I Know About Sourcing

Resumes Are Like Wine – They Get Better with Age!

Why Do So Many ATS Vendors Offer Such Poor Search Functionality?

Do Candidates Really Want a Relationship with their recruiter?

Recruiting: Art or Science?

What to Consider When Creating or Selecting Effective Sourcing Training – SourceCon NYC

The Sourcer’s Fallacy

Sourcing Challenge – Monster vs. Google – Round 1

Sourcing Challenge – Monster vs. Google – Round 2

Do You Have the Proper Perspective in Recruiting?

Are You a Clueless Recruiter?

Job Boards and Candidate Quality – Challenging Popular Assumptions

When it Comes to Sourcing – All Sources Are Not Created Equal

Boolean Search String Experiments

Boolean Search String Experiment #1

Boolean Search String Experiment #1 Follow Up

Boolean Search String Experiment #2

 

Why Boolean Search is Such a Big Deal in Recruiting

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In the past, I’ve explained the Boolean Black Belt concept and exposed what I feel is the real “secret” behind learning how to master the art and science of leveraging information systems for talent identification and acquisition.

Now I would like to show you precisely WHY Boolean search is such a big deal in recruiting.

There are 2 main factors:

  1. Candidate variable control
  2. Speed of qualified candidate identification.

The goal of this article is to shed significant light on the science behind talent mining, how it can lead to higher productivity levels (more and better results with less effort), why I am so passionate sourcing, and why everyone in the HR, recruiting, and staffing industry should be as well.

Control is Power

Talent identification is arguably the most critical step in recruiting life cycle – you can’t engage, recruit, acquire, hire and develop someone you haven’t found and identified in the first place.

My experience has shown me that properly leveraging deep sources of talent/candidate data (ATS/CRM’s, resume databases, LinkedIn, etc.) can enable recruiters to more quickly identify a high volume of well matched and qualified candidates than any other method of candidate identification and acquisition (e.g., cold calling, referral recruiting, job posting).

The true power of Boolean search lies in the intrinsically high degree of control over critical candidate variables that using Boolean strings to search deep data sources such as resume databases, the Internet, and social media affords sourcers and recruiters.

Applying that that high degree of control to large populations of candidates – tens of thousands (small internal ATS, niche resume database) to tens of millions (large ATS/CRM, Monster resume database, LinkedIn, etc.) enables adept sourcers to perform feats of talent identification and acquisition most would think impossible.

Continue reading →

Talent Sourcing: Man vs. AI/Black Box Semantic Search

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Back in March 2010, I had the distinct honor of delivering the keynote presentation at SourceCon on the topic of resume search and match solutions claiming to use artificial intelligence in comparison with people using their natural intelligence for talent discovery and identification.

Now that nearly 2 years has passed, and given that in that time I’ve had even more hands-on experience with a number of the top AI/semantic search applications available (I won’t be naming names, sorry), I decided it was time to revisit the topic which I am very passionate about.

If you’ve ever been curious about semantic search applications that “do the work for you” when it comes to finding potential candidates, you’re in the right place, because I’ve updated the slide deck and published it to Slideshare. Here’s what you’ll find in the 86 slide presentation:

  • A deep dive into the deceptively simple challenge of sourcing talent via human capital data (resumes, social network profiles, etc.)
  • How resume and LinkedIn profile sourcing and matching solutions claiming to use artificial intelligence, semantic search, and NLP actually work and achieve their claims
  • The pros, cons, and limitations of automated/black box matching solutions
  • An insightful (and funny!) video of Dr. Michio Kaku and his thoughts on the limitations of artificial intelligence
  • Examples of what sourcers and recruiters can do that even the most advanced automated search and match algorithms can’t do
  • The concept of Human Capital Data Information Retrieval and Analysis (HCDIR & A)
  • Boolean and extended Boolean
  • Semantic search
  • Dynamic inference
  • Dark Matter resumes and social network profiles
  • What I believe to be the ideal resume search and matching solution
Enjoy, and let me know your thoughts.

Talent Sourcing and Matching – Artificial Intelligence and Black Box Semantic Search vs. Human Cognition and Sourcing

View more presentations from Glen Cathey

How to Use Resume Search Aggregators

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I am often asked my opinion on the best use of resume search “aggregators” such as those offered by infoGIST, TalentHook, Data Frenzy RAM, DaXtra, AIRS SourcePoint and others.

If you’re not familiar with resume search aggregators, a resume search aggregator is an application that allows a user to enter a search string that will simultaneously execute across multiple free and paid job board resume sites and aggregate the results.

Many HR, sourcing, recruiting and staffing teams tend to use resume search aggregators at the associate level – enabling individual sourcers and recruiters to run Boolean search strings focused on specific hiring needs through a resume search aggregator to to simultaneously search several paid job boards as well as in some cases 100+ free job board resume databases.

While there is a huge convenience factor in using resume search aggregators in this fashion, as each sourcer or recruiter can save time and effort in not having to log into multiple job boards to execute Boolean search strings on each one individually, there are some limitations of resume search aggregators you need to be aware of, and I feel there is a better way to use this technology.

Limitations of Resume Search Aggregators

Limited Boolean Logic Support

Many of the resume search aggregator applications do not support full Boolean logic or even symbols such as the asterisk for root word/stem searching.

That, in and of itself, is a major limitation when attempting to mine information systems such as job board resume databases, because highly effective and precise search strings cannot be created.

Also, some of the aggregators don’t even allow you to “hand code” Boolean search strings – instead, forcing you to create searches using a query builder which often significantly limits the ability to create effective searches.

Similarly, not all job board resume databases support full Boolean logic.

Even if a resume aggregator application supported full Boolean logic, if it is being used to search a site that does not support it – you will not get the results you are looking for (or any results) because the job board resume database can’t execute your search string. Continue reading →

Why is Google Missing Available Search Results?

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Google_Bing_Yahoo_LogosWhen you’re searching the Internet for potential candidates, it’s quite common (and practical) to search for resumes of  people who are likely to be local to your opportunity. The two main ways of doing this are searching by area code and searching by zip code range.

While there are limitations of both approaches (not everyone includes a phone number or address), in this post I want to explore an interesting phenomenon that was brought to my attention not too long ago which clearly demonstrates that even when people DO provide a phone number or address, you may not be able to find them by searching for that information.

Yes, you read that right. Continue reading →

Resumes Are Like Wine

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Old Wine Cellar small by acren23 via creative commonsIn response to my recent post about the deficiencies in the search capability of many Applicant Tracking Systems, a few people commented to the fact that resumes stored in applicant tracking systems become stale and outdated over time, which may explain why ATS resume databases are often the candidate “source of last resort.”

While candidate records inevitably age over time and can become outdated, this definitely does not have to be the case.

A candidate record can only truly go “stale” if no one ever makes contact and updates the record with more current information from time to time – and it need not even be every 6 months.

Any recruiter worth their salt will attempt to maintain periodic contact with most candidates and update their information as appropriate, regardless of their job search status. This can also be automated to some extent with strong and effective CRM functionality – so even if the recruiter forgets to follow up with someone every 6 months, the CRM won’t. Continue reading →

Challenging Google Resume Search Assumptions

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This post is second in a series focused on using Google to search for resumes on the Internet.

In the first post I left some unanswered questions, such as why:

  • I didn’t talk about searching for CV’s
  • I didn’t suggest using the tilde ~ operator in conjuntion with the word “resume”
  • I didn’t use -~job when trying to eliminate false positive results
  • I didn’t talk about targeting filetypes
  • I didn’t talk about just searching for the word “resume” without using it in conjunction with inurl: or intitle:
  • I didn’t mention the use of Google Custom Search Engines (CSE’s) to find resumes

Whether or not you had those questions burning in your mind, I will address them all in this post.

Challenging Google Resume Search Assumptions

I’ve read my fair share of recruiting blogs and online discussions between recruiters and sourcers. As such, I encounter quite a bit of advice regarding tips and tricks to use when searching for resumes on the Internet using Google.

Some of the suggestions I see make sense at first, but being the inquisitive guy that I am, I don’t just take the suggestions and run with them, assuming they accomplish what they seem to accomplish. I take the time to test search tips, tricks, and suggestions to make sure they add value to my search efforts and that they do EXACTLY what they claim to do.

Today, you get to benefit from some of these tests, as I am going to challenge some of the suggestions I’ve come across over the years when it comes to searching for resumes on the Internet using Google. Let’s get going, shall we? Continue reading →

How to Find Resumes on the Internet with Google

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Want to learn how to find resumes on the Internet using Google?  You’ve come to the right place!

Whether you are new to searching the Internet for resumes or you are a veteran Interent sourcer, I’ve included some tips, tricks, and observations for the novice and expert alike.

Targeting Resumes

When using Google to search specifically for resumes, it’s a good idea to begin by searching for the word “resume” in the title and/or the url of web pages.

For example: (intitle:resume OR inurl:resume)

Here is a sample result to illustrate how this works – we can see the word “Resume” in the blue TITLE line, as well as in the green URL line. The first line of any search result is the title of the webpage, and the url is the specific web page’s address.

Targeting the word “resume” in the title and/or url is very handy, because for many people, it’s simply common sense/instinct to either title the web page containing their resume with the word “resume,” and/or save their resume using the word “resume” in the name of the file.

Eliminating False Positive Results

Continue reading →

Resumes on the Internet: Monster vs. Google Round 2

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In response to my post of Resumes on the Internet: Monster vs. Google one of my readers commented that “While it may be true that Monster has more resumes than Google, using a zip code search is not a fair comparison for Google. People who post their resumes on Monster are required to enter their zip code, while people who resumes are stored online will generally only put their email and/or phone number. Also, even using the term resume can be limiting in Google. Because it was not built to only index resumes, you have to get more creative to filter out the noise. You can try the ~CV or ~Resume, you can also take that out completely and search for types of documents, .DOC, .PDF, etc. and look for words commonly found in CV’s like education, objective, etc.”

His comment inspired me to get these industry heavyweights into the ring for a second battle and experiment with not using zip code ranges or the word “resume” when searching for resumes on the Internet using Google. Let’s begin with the same searches as Monster vs. Google Round 1.

Search #1 – Java, Oracle, Sprint or Nextel, State of MD

Google #1 Zip range (original search) = 4 results

(intitle:resume | inurl:resume) java oracle (sprint | nextel) 20601..21930 (MD | Maryland) -~job -~jobs Continue reading →

The value of a resume database

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How do you value a database? I say that the value of a database lies not in the information contained within, but in the ability of a user to extract out precisely and completely what the user needs.

When talking about the value of a company’s internal candidate database or the online job board resume databases, we must always be aware that their value is more accurately quantified by the user’s ability to find and retrieve any and all candidates who are appropriately qualified for their needs.

There are 3 major contributing factors as to why most sourcers and recruiters inaccurately value the resume databases they have access to.  #1 Talent Mining capability, #2 The search interface/engine, and #3 Believing the hype that the job boards only have desperate, active or poor quality candidates. Continue reading →

Resumes are not dead!

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With the buzz I continue to see and hear surrounding Twitter, social networks, Internet sourcing (blogs, articles, etc.) and such, it’s easy to look at resumes as dull, outdated, or at least “uncool” when it comes to sourcing and recruiting. I fear there are many people who get blinded by the “shiny object” factor of each and every “next new thing” that will supposedly revolutionize staffing, leading them to overlook the significant and tangible advantages that resumes have over other sources of talent identification information.

The limitations inherent with using Twitter, blogs, Internet articles, LinkedIn profiles and similar sources for talent identification is that they are what I classify as “shallow” sources of candidate information. In most cases, they contain very little information regarding critical candidate variables such as skills and responsibilities, quantity and quality of experience, career history and accomplishments, education, precise location, etc. Many shallow sources of candidate information simply do not provide ANY information regarding some of these details. With little or no information to go on, it is extremely difficult to search for and identify candidates who have a high probability of at least meeting the minimum requirements for your opening, let alone exceeding them.   Continue reading →