In-depth content on reverse recruitment, competency assessment, AI in HR, Big Five, and how to build a measurable career.
A practical playbook for assessing engineering candidates without behavioral interviews, what to measure, how to remove bias, examples of measurable skill, and when the interview earns its slot back.
The Big Five (OCEAN) is the personality model with the strongest scientific validity in organizational psychology. How to use it in hiring, what each factor predicts about performance, and where it's most often misapplied.
The Nort Score (also called Career Score) is a four-axis competency polygon, hard skills, soft skills, experience, reputation. How each axis is measured, with what weight, and what the score deliberately leaves out.
A neutral comparison of NORT and HireVue. Async video interviews vs portable scored assessment, large-enterprise ATS integration vs reverse-recruiting marketplace, and when each model fits the buyer.
A neutral comparison of NORT and Mercor. Different evaluation models, different target audiences. AI agent screening for high-volume gig-style talent vs portable scored assessment for hiring teams. When each model fits.
A neutral comparison of NORT and Toptal. Curated freelance marketplace with manual vetting vs reverse-recruiting platform with portable scored assessment. Different evaluation philosophies, different ideal buyers.
What changed in Latin American tech hiring, why US and European companies treat LATAM as the primary nearshore market, contractor vs EOR vs subsidiary tradeoffs, real salary ranges, and where the strongest talent pools live.
Reverse recruiting flips the traditional flow, the candidate is evaluated once and companies query the pool. How it works in practice, how it differs from ATS and AI screening, and when the model genuinely outperforms.
What's the current time-to-hire for technical roles in the US and globally, where the funnel typically stalls, and the actions that genuinely compress the cycle. Consolidated market data and seniority-level benchmarks.
How AI resume screening actually works, what it reliably evaluates, where it fails in technical hiring, and when test-based assessment is the better signal.
A practical catalog of the cognitive and algorithmic biases that most affect hiring decisions: how each manifests in the funnel, why it's hard to remove, and which practices reduce impact without pretending the problem doesn't exist.
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Reverse recruitment platform for programmers
