Tag Archives: Resume Sourcing

Is Your ATS a Black Hole or a Diamond Mine?

Most companies and staffing organizations, ranging from executive search sole proprietorships to staffing agencies to Fortune 500 companies, have internal databases filled with rich and actionable information on thousands to literally tens of millions of applicants, candidates, and professionals.

You would think that a private internal database of people that an organization has actively and passively, tactically and strategically collected over the years would be a prized posession and be viewed and leveraged as a significant resource and competitive advantage.

However, this post on Weddles details that an Online Sourcing Survey conducted by TalentDrive found that almost two-thirds (64%) of the employers represented by the survey’s participants did not know how many qualified candidates were in their own ATS databases.

Yes – you read that correctly.

Most companies don’t even know how many people are in their Applicant Tracking Systems.

Surprised?

While that is an especially disturbing statistic and a sad reality, I’m actually not that surprised.

Most Applicant Tracking Systems have horrible search interfaces and extremely limited information retrieval capability.

As such, like a black hole, prospective candidates go in, but they don’t come back out.

If you can’t easily search your internal database, how can you determine the total candidate population, let alone find the top talent hidden within?

Deposits and Withdrawals

Having an ATS/CRM/candidate database that is not highly searchable is like putting your money into an insolvent financial institution. You can deposit money/assets in – but you can’t easily or reliably make withdrawals.

The bottom line is that data has no value if you can’t retrieve it.

Anything designed to store something should have strong retrieval capability – once you put it in, you should expect to be able to get it back out.

Quickly and easily, no less.

If you can easily enter prospective candidates into your ATS but you cannot easily retrieve the right ones at the right time – you’re essentially sitting on a giant Hidden Talent Pool.

Illiquid Human Capital

Everyone agrees that people are an organization’s most valuable asset.

However, if you cannot quickly, easily, and precisely search for and retrieve highly qualified candidates from your private database, your ATS is essentially a source of illiquid (human) assets.

In other words, you cannot easily convert the human capital data stored in your system into hires/placements.

The Time Value of Resumes

Even after 15 years in recruiting, I am still shocked to hear HR pros, sourcers, recruiters, and talent acquisition leaders comment about how resumes get “stale” and lose their value after 6 months.

While the information on resumes certainly goes out of date over time, the resumes themselves do no lose their value.

In fact, I argue that resumes get more valuable over time.

This is because the active candidates you capture today become the passive and non job seekers in time – yes, those magical people that are supposedly so valuable and so difficult to find.

Right in your database.

With phone numbers and email addresses.

That person that responded to your job posting a year ago will not likely be actively looking today, will not have their resume posted online anywhere, and will not have updated their LinkedIn profile for quite some time – yet, you have their contact information, and it doesn’t take a rocket doctor to figure out what kind of opportunity they would be interested in.

Although you don’t know exactly what a person whose resume is a year or more old is doing now, most people follow a relatively predictable career trajectory.

I’ve personally dredged up resumes from an ATS that were over 4 years old and got them hired.

When I called one of these candidates, he asked me, “How did you know I was looking?” I replied, “I didn’t – your resume is 4 years old – I don’t even know if you’re doing the same kind of work.”

He was.

It also turned out he was beginning to think about making a change, but hadn’t even written his resume.

I had caught him at the perfect time, before anyone else could even imagine of finding him. The funny thing is that most people probably wouldn’t have even called him simply because his resume was “stale” and out of date.

This and many more similar examples I have prove the time value of resumes.

However, you can’t leverage the time value of resumes if you can’t quickly, easily, and precisely retrieve them!

Coal Into Diamonds

For each position sourced for and posted online, there are inevitably volumes of potential candidates that do not fit, as well as candidates that do not get interviewed and hired.

However, this does not mean that they are bad or unqualified people.

In fact, many of the people who respond to job postings are very good candidates – they’re just not very good at matching themselves.

Those under qualified candidates? While they may not meet the basic qualifications of the specific job the responded to, that doesn’t mean that they aren’t fully qualified for other jobs that are open now, or jobs that will open in the future.

In a year or two, they will have a year or two more experience and be a qualified candidate.  See the Time Value of Resumes above.

What about those over qualified candidates? While they may be “over qualified” for the position they applied to – they may in fact be qualified for other openings now and in the future.

What about those applicants that are a complete mismatch for the positions they applied to? They often match other currently open and future jobs.

How about the people who almost got the job? For every opening, there can only be one hire, so there is often a slew of strong runners-up that could be fantastic candidates for other opportunities.

Over the years, I’ve consistently found time and again that what appears to be coal can quickly turn into diamonds.

The Black Hole

Just like light heading into a black hole, applicants and candidates often go into applicant tracking systems – but they don’t come back out.

Presumably, there are 3 main ways a person can end up in a company’s ATS:

  1. They responded to a job posting
  2. Someone ran a search and found the candidate’s profile/resume on the Internet, on a resume database such as Monster, Dice, Careerbuilder, etc., or on LinkedIn and entered it into the database
  3. The person was a referral and entered into the system

In all three cases, someone – either a potential candidate or a sourcer/recruiter – has shown interest in a potential match at some point in time, and this should be worth something.

People applying to jobs should be able to expect a response of some kind, and recruiters should be able to easily find well qualified candidates they found and entered into the system in the past.

Looking to Build a Talent Community?

Everyone seems to want to build a “talent community” these days.

What I find funny is that many companies are already sitting on the makings of a talent community in their own ATS.

Anyone in your ATS got there either because they wanted to join your company (they responded to a job posting) or because you wanted them to join your company (you sourced them).

Can you think of a better population for a talent community?

If your ATS doesn’t have CRM functionality that enables you to stay in touch with the people who’ve expressed interest in your company and the people you’d like to potentially employ, it’s time for you to start thinking about what you can do about this, because you’re sitting on a diamond mine.

Sourcer/Recruiter Behavior

Can we blame sourcers and recruiters for NOT searching and leveraging their ATS/CRM if other sources they may have access to (such as LinkedIn and job board resume databases) are 10X more searchable?

If trying to find appropriately qualified candidates in an ATS is as difficult and painful as pulling teeth, we should not be surprised when sourcers and recruiters search the Internet for candidates first, and the ATS last (if at all!).

A company’s private candidate database should, if anything, be MORE searchable and EASIER to use than publicly available systems and databases.

As mentioned previously – people in your ATS have either shown specific interest in your company or were found elsewhere by a sourcer or recruiter and entered into the system.

Both types of people should receive “priority handling!”

Demand an ROI on Your ATS!

Many companies spend tens of thousands to hundreds of thousands of dollars on their Applicant Tracking/CRM systems, and they should expect demand a significant return on that money invested.

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.

If you can’t easily, quickly, and precisely retrieve talent out of your ATS – you didn’t get what you actually paid for.

If you’ve been a corporate recruiter at some point in your career – did you ever have a 3rd party search firm/agency submit candidates to you that you already had in your ATS?

Did you know that some companies will pay a fee or a premium (contract to hire) for candidates that 3rd party firms source and recruit that were in fact hiding in the company’s ATS?

Without going into why companies would actually pay another firm for candidates they had buried in their ATS – the $64,000 question is why didn’t the corporate sourcers/recruiters find the candidate themselves?

The answer is usually quite simple – because the company’s ATS isn’t very searchable.

Perhaps it would be more accurate to call it the “20-30% of the first year’s salary” question.

Ouch!

What You Can Do

To ensure that your private candidate database/ATS isn’t just one big fat black hole where candidates enter but they never come back out, here are a few things you can do:

Replace or upgrade your ATS/CRM

Yes, this will likely involve spending money.

However, if people really are the greatest and most valuable asset of your organization – investing in a system that allows you to effectively capitalize on this asset is well worth the cost, nearly at any price!

From a corporate perspective, moving to a system that makes it easy to find appropriately qualified candidates that you have already sourced or expressed interest in your company can significantly reduce your cost-per-hire as well as your reliance on 3rd party search firms.

From a search firm/agency perspective, investing in replacing or upgrading your candidate database/tracking system can help increase your productivity (and likely profitability) by enabling you to more quickly and effectively capitalize on candidates you have already sourced, interviewed and qualified rather than having to try and source “new” candidates from scratch for each job order/client request you receive.

Integrate a New Search Interface/Engine Into Your ATS

Typically less expensive than switching out your whole ATS/CRM – there are several 3rd party search applications available ranging from highly configurable text search (Lucene, dtSearch, etc.) to conceptual/artificial intelligence search/match applications (Autonomy, BurningGlass, Sovren, Pure Discovery, Actonomy, etc.) that you can integrate into your existing ATS/CRM to significantly boost its “searchability.”

Some of the aforementioned solutions are free (Lucene) and others are surprisingly affordable.

Train Your Sourcers and Recruiters (AND/OR Yourself)!

Sometimes an ATS/CRM is a black hole from which candidates never return simply because the sourcers and recruiters aren’t very proficient in how to effectively search information systems for talent identification (aka Talent Mining).

If you already have a highly searchable ATS or CRM, invest in training your associates with the latest search best practices, tactics, and strategies.

You don’t need a super-expensive “state of the art” search application to quickly find the right people.

In fact – all you need is a search interface that supports full Boolean logic.

In my first year as an agency recruiter, I averaged 8 hires per month only after 3 months of experience as a recruiter – and my sole source of candidates was an old CPAS ATS developed by VCG. No Monster, no Google, no Linkedin, no cold calls – just a plain old resume database with about 80,000 records and a search interface that supported full Boolean logic.

How’s that for ROI?

The Bottom Line

If your ATS/CRM is as easy to search as it is to put candidates in, you will be able to fill more of your company’s openings from talent you’ve already sourced and from people who have expressed an interest in joining your company.

Any opening you can fill with candidates already in your internal system saves you the time, effort, and cost of advertising and searching for “new” candidates.

Filling openings with candidates already in your ATS can afford you significant and measurable cost-per-hire and time-to-fill savings.

Additionally, having a highly searchable ATS/CRM can help you reduce your reliance on paid resources if you currently use them (such as Monster, a premium LinkedIn account, etc.).

Is it easier to search public systems such as LinkedIn or Monster to find appropriately qualified candidates than it is to search your private ATS/CRM?

It shouldn’t be!

What is Your Talent Sourcing ROI?

Anything worth doing is worth measuring, and sourcing isn’t exempt from this.

If you want to know which method of sourcing has the highest ROI in terms of enabling a person to find more of the right people more quickly, then you’re in luck – because that’s what this post is about.

Human capital data comes in many forms – resumes, social network profiles, blogs, bios, press resleases, etc. – and I have found that a key and critical aspect of sources of human capital data that many people fail to formally recognize is the depth and completeness of the data that can yield information through review and analysis.

When it comes to leveraging information systems such as the Internet, applicant tracking systems, social networking sites, job board databases, etc. for sourcing and recruiting – the operative word is “information.”

Data is the lowest level of abstraction from which information can be derived. For data to become information, it must be interpreted and take on a meaning.

Generally, the quality and amount of information that can be gleaned from any particular source is directly linked and limited to the quality and amount of data present to be reviewed and analyzed. How useful is an information system supported by only a small amount of limited data?

In this post, I will:

  • Review the major sources of human capital data
  • Examine sourcing return on time invested
  • Explore the potential candidate’s point of view
  • Ask you to take a quick sourcing test

Ready? Continue reading

The Guide to Semantic Search for Sourcing and Recruiting

If you have nearly any tenure in HR, sourcing or recruiting, you’ve probably heard something about “semantic search” and perhaps you would like to learn more.

Well – you’ve found the right article.

As a follow-up to my recent Slideshare on AI sourcing and matching, I am going to provide an overview of semantic search, the claims that semantic search vendors often make, explain how semantic search applications actually work, and expose some practical limitations of semantic search  recruiting solutions.

Additionally, I will classify the 5 basic levels of semantic search and give you examples of how you can conduct Level 3 Semantic Search (Grammatical/Natural) with Monster, Bing, and any search engine that allows for fixed or configurable proximity.

But first – let’s define “semantic search.” Continue reading

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

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.

How to Use Resume Search Aggregators

I am often asked my opinion on the best use of resume search “aggregators” such as those offered by infoGISTTalentHook, 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

How to Find Resumes on the Internet with Google

 

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