Behind the Buzzwords: 20 HR Technology Vendor Definitions
Posted on November 25, 2013 Leave a Comment
When your vendor talks about SEO for Recruiting, what they really mean is that SEO for Recruiting is one of those terms that sounds really cool, even though they have no idea what the hell SEO for Recruiting actually means.
Which is ironic, because they’re using excellent keyword density. They always do. At least according to this research that’s conveniently protected by a firewall.
Here’s how to decode some of the highest ranking, highest volume, but mostly meaningless messaging used by HR Technology vendors. Because you don’t want to be collateral damage when it comes to product marketing.
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Shut Up, Already: Stop Talking About These 3 Recruiting “Trends”
Posted on November 21, 2013 21 Comments
I read a ton of blogs, participate in a lot of Twitter chats (or as I call them, “pithy parties”) and listen in on a lot of presentations about trends in talent acquisition and HR technology. But what’s trendy among the industry “influencers” who need your company’s cash to keep the lights on don’t necessarily jibe with the stuff that really matters to candidates and employers.
Here are three hot topics that drive a ton of talk but very little value unless you’re a consultant with a specific agenda in mind: Read More
Hiring Assessments & Astrology
Posted on October 30, 2013 3 Comments
It’s pretty obvious recruiting isn’t rocket science, but it might as well be. The goal of talent management, after all, basically involves looking for “stars” and making sure they’re ‘aligned’ with organizational needs, lest they end up in the “black hole” of the hiring process. That’s why it’s time to take a look at the newest weapon in the war for talent: astrology.
If you’re feeling skeptical about the ability of planetary alignment to predict quality of hire, remember that first feeling you had when you learned your Myers-Briggs acronym? They have about the same amount of scientific validity (to true believers, anyway), after all, and both rely almost exclusively on confirmation bias to generate (and validate) their findings.




