Recruiters love/hate Boolean search
Every recruiter knows the drill. Boolean search feels like a craft — a sign of experience. But in truth, it’s a patch job.
You write long boolean searches like
"developer" OR "engineer" OR "programmer" OR "software specialist"
You test them, tweak them, and still get half-relevant results. It’s guesswork disguised as precision.
The real issue isn’t the search. It’s the data underneath.
Job titles and skills aren’t structured. One candidate says Software Engineer, another Backend Developer, another Python Specialist. The ATS can’t tell they’re the same thing — so recruiters build logic to compensate for the chaos.
If profiles were properly classified — for example IT → Software Development → Backend → Python — you wouldn’t need Boolean tricks. You’d just filter. Like you would in Excel.
Clean, structured data does three things:
Replaces keyword guessing with reliable filters
Saves hours spent writing and testing queries
Surfaces strong candidates you’ve been missing
TL;DR
That’s what Daidalo delivers. We clean, structure, and classify every profile in your ATS automatically. Titles, skills, and categories become consistent, so matching becomes instant. When the data is organised, Boolean becomes optional and your ATS finally works as it should.
