Tellent Recruitee blog

How to use data-driven recruitment for hiring success

Tania Miranda — Thu, 13 Aug 2026 14:04:33 GMT

Most recruiting teams don't lack hiring data — they lack a reliable way to turn it into better decisions. Every job posting, scorecard, and rejected application adds to the pile. Yet the decision that matters still comes down to instinct under time pressure.

Recruiting automation: A practical guide for EU hiring teams

Tania Miranda — Thu, 13 Aug 2026 13:48:18 GMT

You lose hours every week to repetitive tasks that could run themselves — screening applications, chasing hiring managers for feedback, scheduling interviews, and sending status updates to candidates. While these tasks pile up, candidates wait. And when they wait too long, they leave.

Top 12 applicant tracking systems for manufacturing in 2026

Martina Di Gregorio — Mon, 10 Aug 2026 15:35:17 GMT

Manufacturing is facing a hiring crisis that isn't going away anytime soon. An estimated 2.4 million manufacturing positions could remain unfilled through 2028, and 66% of manufacturers report that time-to-hire keeps creeping up year over year. Finding skilled trades workers — welders, CNC operators, electricians — is harder than ever.

Best applicant tracking systems for retail: the buyer's guide (2026)

Martina Di Gregorio — Wed, 05 Aug 2026 16:43:35 GMT

Retail HR teams have a hiring problem that most ATS vendors don't fully understand. According to Tellent's State of Hiring 2025 report, retail has one of the highest career site bounce rates of any industry — 67% — and an average time to hire of 29.6 days.

Best applicant tracking systems for SMBs: 13 solutions compared (2026)

Martina Di Gregorio — Tue, 14 Jul 2026 11:15:53 GMT

Hiring in a small or scaling business has a special kind of chaos. One week you're polishing a job ad at 9pm because "we need someone yesterday," the next week you're juggling five interviewers across three calendars, and then a strong candidate vanishes because your follow-up fell into someone's inbox.

AI in recruitment: A practical guide for European hiring teams in 2026

Martina Di Gregorio — Tue, 30 Jun 2026 10:00:09 GMT

AI in recruitment uses machine learning, natural language processing, and predictive analytics to automate and improve hiring tasks across the recruitment lifecycle. You've likely encountered it without realizing it — chatbots answering candidate questions at midnight, algorithms ranking applicants by fit, software suggesting interview times based on everyone's calendars.

GDPR in recruitment: what employers need to know in 2026

Martina Di Gregorio — Thu, 25 Jun 2026 09:50:59 GMT

Privacy regulations, pay transparency rules, and AI governance are all moving at once. For employers in 2026, that means keeping up with a set of overlapping legal requirements that directly affect how you hire — and how you handle the data of every candidate who applies.

How we use recruitment automation to keep hiring human at Tellent

Marieke Drees — Tue, 23 Jun 2026 15:56:47 GMT

When people talk about recruitment automation, the conversation usually stays surface-level: we automated X, it saves us Y hours. That framing is true, but it misses the more interesting question — how do you automate in a way that makes your process better for candidates, not just faster for your team?

11 common HR issues in 2026 — and why they keep coming back

Martina Di Gregorio — Mon, 22 Jun 2026 12:28:12 GMT

The most common HR issues in 2026 are not isolated problems. Recruiting delays, retention risk, low engagement, burnout, compliance pressure, hybrid work friction, AI governance, and workforce planning gaps all point to the same underlying issue: HR decisions are often made reactively, with people data scattered across disconnected systems.

Best career page examples: 13 pages that actually convert

Martina Di Gregorio — Mon, 22 Jun 2026 11:54:39 GMT

A career page is the part of your company website dedicated to showcasing your employer brand, open roles, and what it's actually like to work there. It's where candidates go after they've seen your job ad — to decide whether you're worth their time.