Now Is the Time We Dance: Humanly Acquires Qualifi, Sprockets, and HourWork

If you’ve been around HR technology long enough, you already know how this is supposed to work.

Company A buys Company B, puts out a press release, maybe an official blog post and some splashy graphic announcing how the acquisition aligns with the company’s “long term vision,”  or how it “unlocks value,” or maybe even talk about how the combined product will revolutionize the very future of talent acquisition and hiring. Or something similarly specious.

Then, there’s the breathless, totally speculative and esoteric insider takes from the pundits and the podcasters (present company included) wildly overstating the implications of what’s often a pretty niche, fairly nuanced transaction.  

Of course, this is accompanied by the posting of the official LinkedIn announcement from the brand (followed by furious liking and reposting by every employee, all of whom are either “proud” or “excited” by news most haven’t even been briefed on yet). 

And let’s not the email to customers and partners talking about how this transaction is an investment in the “future of work” (even if it’s just slapping on some golden handcuffs or overcoming a capability gap). Then, six months later, the company quietly kills the product, never to be spoken of again.

Hey, I know what you’re thinking, and that’s not cynicism; it’s called pattern recognition

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Unplugged: Insights from a Decade of RecFest

Recruiting has always been a game of contradictions. We talk about innovation, but still send cold emails off LinkedIn. We obsess over candidate experience, then ghost people after three rounds of interviews. We call ourselves strategic, but most days feel like we are the McGuyvers of the hiring process, trying to assemble whatever random crap is lying around into something that will actually have some utility.

Turns out, building a bomb out of an avocado and a snorkel might well be an easier ask then trying to figure out how to create an “AI Stack” out of a legacy ATS and a boatload of point solutions with open APIs but minimal configurability.

Thing is, the recruiting industry tends to be so myopically focused on the tools and the technology of the trade that we tend to lose sight of the bigger picture.

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Spin Cycle: How Recessions Reshape Talent Acquisition Strategies

Remember 2021? When a carton of eggs cost $1.27, the Weeknd was still relevant enough to land the Super Bowl halftime show, X was called Twitter, people under 50 still used Facebook and Q was still making drops? I know, it seems like a fever dream to me, too – those halcyon days of headcount hyperscaling.

Back then, signing bonuses outpaced salaries, every recruiter had “hypergrowth” in their LinkedIn headline, a technical sourcer with a couple years of experience could pull in close to 200k at the FAANG company of their choice, and HR Tech vendors were busy convincing us that their new AI solutions were going to end candidate ghosting and improve the candidate experience?

Good times.

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Analytics Anonymous: The 7 Steps to Talent Intelligence Transformation

Let’s talk about the real reason your hiring strategy isn’t working.

It’s not a talent shortage. It’s not hiring manager alignment. And it’s definitely not because your employer brand video doesn’t autoplay on mobile.

It’s because you have no idea what’s actually happening in your funnel, and worse, you’ve built an entire process on data you don’t even trust (or in many cases, even capture).

According to the Deloitte 2024 Global Human Capital Trends report, only 9% of HR leaders say they are “very confident” in the accuracy of their workforce data. Just let that sink in. That means fully 91% of people teams are making hiring decisions based on a mix of outdated reports, disconnected systems, and vibes. This is absolutely asinine.

And it gets worse.

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Man Versus Machine: The Truth About AI In Interviewing

There was a time when interviews were about two things: figuring out if someone could do the job, and whether you could stand to share a Slack channel with them. Now? 

Now, our evaluation criteria has become a bit more esoteric: things like whether they blink too much, smile too little, or fall outside a statistical model trained on “proprietary data” that’s almost certainly pirated intellectual property.

Welcome to hiring in the age of the algorithm, where we’ve replaced gut instinct and basic decency with webcam recordings, acoustic patterning, and chatbots who “just want to get to know you better.” 

Which is only kind of creepy. 

Nobody asked for this. Especially not candidates. And definitely not hiring managers, who actually enjoy the one part of recruiting that doesn’t involve updating the ATS while pretending your HRBP is going to read the notes.

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