ThriveMap

Realistic Job Assessments for high-volume hiring.

28/07/2026

"We used AI to screen 500 CVs down to 20 in an hour."

Cool. And how many of the right people got filtered out by a keyword match?
Speed isn't the same as accuracy.

Have you used AI tools that screened out someone who would've been a great hire? What happened?

27/07/2026

"Most employers have already moved towards skills-based, job-relevant assessments and away from generic profiling. So why isn't it moving the number they care about most?"

Our founder and CEO Chris Platts, writing in theHRDIRECTOR on why the shift to skills-based hiring hasn't delivered the retention gains employers expected.

The research found that 82% of employers have adopted job-relevant or work-sample assessments, but only 22% say those assessments have reduced attrition. Meanwhile more than half still run personality tests alongside them, despite only 10% of candidates rating personality tests as fair or accurate.

The problem isn't the format. It's that testing the right skill tells a candidate nothing about the pace, the pressure or the environment they're walking into. Most people don't leave because they couldn't do the job. They leave because it wasn't the job they expected.

That gap between the process and the reality is what ThriveMap assessments are built to close.
Read the full piece, link in the comments.

New ThriveMap research, surveying 1,000 job seekers and 200 talent acquisition managers.

21/07/2026

Genuine question for TA leaders:
What's the one thing hiring managers always get wrong about what candidates actually want right now?

Drop it below - we're collecting the best ones for a follow-up post.

07/07/2026

"I want someone who can hit the ground running, but also grow with the company, but also isn't a flight risk, but also will accept the salary we haven't updated since 2022."

Every recruiter has sat in that hiring manager brief. What's the most unrealistic wishlist you've ever been handed?

01/07/2026

Just 22% of candidates believe AI screening is fair.
As AI becomes more common in recruitment, measuring adverse impact is no longer optional. Here's what every employer needs to know about identifying bias, staying compliant and building fairer hiring processes.
Read more: https://hubs.la/Q04ncQ4C0

23/06/2026

You've made the offer. They've accepted.

And somewhere in the back of your mind, you wonder: do they actually know what they're getting into?

Not the job title. Not the salary. The real thing. The pace. The pressure. The customers. The parts of the role that take people by surprise in month two.

Most TA leaders know that feeling. The gap between what the hiring process communicates and what the job actually involves is one of the hardest things to close.

But here's what the data shows.

85% of candidates say they'd feel more confident accepting a role if they'd experienced a job-realistic assessment first.

Nearly nine in ten people want the process to help them decide, not just to be decided about, but to educate them.

When you give candidates a genuine preview of the role before they sign anything, something shifts. The ones who say yes do so with their eyes open. The ones who quietly weren't right self-select out before anyone wastes time finding that out the hard way.

Better acceptance rates. Faster time to productivity. Lower early attrition.

That's what job realism does. Not just for candidates. For the teams who hire them.

18/06/2026

72% of candidates only found out what the job was really like once they'd already started it.

Not during the application. Not during the assessment. Not even during the interview.
After.

By which point the employer has spent time and money hiring them. The candidate has handed in their notice somewhere else. And the first signal that something is off is a person who is disengaged, struggling, or quietly looking for the exit.
This is a hiring design problem.

When assessments are built purely to filter candidates in or out, nobody stops to ask: does this person actually know what they're getting into? Do they understand the pace, the pressure, the management style, the day-to-day reality?

Most hiring processes don't answer those questions. They just move people through a funnel.

ThriveMap is built differently. Job-realistic assessments give candidates a genuine preview of the role before they accept it, so the people who say yes do so with their eyes open.

That's how you reduce the gap between expectation and reality. Before day one. Not after.

It doesn't have to work that way.

[Source: https://hubs.la/Q04lxXHy0]

16/06/2026

What if your hiring process was discriminating against candidates but your reporting showed everything was fine?

That's essentially what researchers at Stanford HAI found when they analysed 4 million job applications across 150 employers using the same AI hiring tool.
The headline finding is striking:
26% of Black applicants and 15% of Asian applicants applied to a role where the tool was discriminating against their group. But perhaps the most important finding is this: The bias was largely invisible in aggregate reporting.
It only became apparent when researchers analysed outcomes at the individual position level.

The study also highlights the risks of what researchers call "algorithmic monoculture".
When large numbers of employers rely on the same opaque scoring system, any underlying bias can be replicated across multiple organisations.
This isn't an argument against AI.
It's a reminder that hiring systems should be transparent, measurable and regularly validated.

At ThriveMap, we've long argued that assessment should focus on the work itself. The more closely an assessment reflects the actual job, the easier it is to understand what is being measured, explain decisions to candidates, and identify potential adverse impact.

In our own State of the Assessment Market research, 82% of candidates said they felt more confident about a role after completing a realistic job assessment.
Two takeaways for hiring teams:
① Measure adverse impact at the role and stage level. Don't rely solely on aggregate reporting.
② Be cautious of opaque scores that are difficult to explain, challenge or validate.
The goal isn't simply to automate hiring.
It's to make hiring fairer, more transparent and more effective.

https://hubs.la/Q04lbQtX0

12/06/2026

Less than 1 in 4 people think AI screening is fair.

The Global Recruiter picked up on our State of the Assessment Market 2026 data this week — and that stat alone tells you why it's getting attention.

The trust gap between how employers use AI in hiring and how candidates experience it is growing. Worth a read.

https://hubs.la/Q04lbGN00

03/06/2026

Hiring decisions should be built on facts.

Signal by ThriveMap is a free job analysis tool that helps you understand exactly what a role involves, straight from the people doing it. In minutes, you get a clear, data-backed breakdown of tasks, required attributes, and realistic expectations.

The result? Better alignment between recruiters and hiring managers, stronger job briefs, and smarter hiring decisions.

✅ Free to use
✅ Results in minutes
✅ Evidence-based hiring criteria

If you're serious about reducing bad hires and improving your recruitment process, it's worth a look.

👉 https://hubs.la/Q04jlLSR0

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N51XL

Telephone

+442071938668

Website

http://thrivemap.io/

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