Screening the “3-Years-Experience-in-a-1-Year-Old-Technology” Candidate
How non-technical recruiters catch “3 years” on a 1–2-year-old technology: calendar math, version questions, and follow-ups that force specific proof.
Deep dives into technical hiring, AI screening, and recruiter workflows.
How non-technical recruiters catch “3 years” on a 1–2-year-old technology: calendar math, version questions, and follow-ups that force specific proof.
The salary bench mistake: why discussing compensation last wastes technical screens — and how to ask about money early without losing strong candidates.
When to say no to a tech role: red flags for doomed requisitions — underpriced roles, fuzzy ownership, toxic reputation, and managers who will not engage.
Why strong candidates get filtered on the first screen — the biases behind it, and how to make evaluation more objective without replacing the recruiter.
How much one bad technical interview really costs: recruiter, engineer, and hiring-manager time, delay cost, and a formula you can run on your own team.
How non-technical recruiters can screen senior Python developers: 18 questions with strong vs weak answers and follow-ups — no coding required.
12 red flags that a candidate is bluffing in a technical interview — with short examples and a simple anti-bluff follow-up routine for recruiters.
Non-technical recruiter playbook for DevOps screens: DevOps vs SRE, core concepts, and questions that prove production ownership.