
From application volume to talent quality
More applications don't necessarily mean better recruitment.
For organisations hiring specialised talent across countries, cultures and complex operating environments, the real challenge is identifying capability, judgement and potential.
That's where hiring processes need to evolve.
Instead of relying too heavily on increasingly polished CVs and AI-generated applications, consider giving shortlisted candidates a structured opportunity to show how they work.
A short, realistic work sample can reveal far more than another round of application screening:
How do they approach a complex problem?
Can they make decisions with incomplete information?
How do they collaborate?
Can they communicate clearly?
Do they demonstrate the competencies the role actually requires?
The goal isn't to remove technology from recruitment.
It's to use technology for the tasks machines do well — and give humans more time for the decisions that matter.
Recruit smarter, not just faster
For lean talent teams, this distinction is critical.
AI should reduce administration so recruiters can spend more time:
building talent pipelines. engaging scarce skills. advising hiring managers. assessing capability. and making better hiring decisions.
That also means thinking beyond the vacancy.
Building talent pools and engaging potential candidates before a position opens can reduce the pressure to generate hundreds of applications every time you recruit.
As we explore in our proactive recruitment resources, the future of talent acquisition is increasingly about building relationships before you need to hire.
The bottom line
The cheapest hiring tool isn't necessarily the lowest-priced one.
It's the one that helps your team spend less time processing applications — and more time identifying people who can deliver your mission.
That's the real measure of recruitment efficiency.
By
Magnus Bucht