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Practical guides on skills assessment, technical hiring, and interview integrity — from The Vertana Team.
publishedHiring scienceUpdatedHiring in the age of AI cheating: a practical playbook
AI lowers cheating friction in hiring. Use resistance-tagged questions, sandboxed coding, consent-first integrity signals, formats where pasted answers fail.
7 min readby The Vertana Team
publishedHiring scienceUpdatedWhat makes an interview question AI-resistant?
AI-resistant questions bind to context: broken systems, trade-offs, executable code. Design patterns, example stems, and resistance tagging for screens.
7 min readby The Vertana Team
publishedGuidesUpdatedHow to assess frontend engineers: a practical framework
A repeatable framework for evaluating real frontend ability — from fundamentals to production judgment — without leaning on trivia or whiteboard puzzles.
2 min readby The Vertana Team
publishedGuidesUpdatedHow structured hiring reduces bias without slowing you down
Structured hiring speeds decisions without sacrificing fairness: same questions, rubrics, and separated skill vs culture evaluation. Practical rollout guide.
6 min readby The Vertana Team
publishedHiring scienceUpdatedHow to prevent cheating in remote technical interviews
Design remote technical assessments for integrity: consent-first proctoring, randomized pools, and reviewable flags—not auto-verdicts—for fair hiring.
7 min readby The Vertana Team
publishedComparisonsUpdatedTake-home tests vs. live coding: which should you use?
Take-home vs live coding: compare signal, candidate burden, and cheating risk by role and stage. Decision table for combining both without over-testing.
6 min readby The Vertana Team
publishedHiring scienceUpdatedReducing bias in hiring with structured skills assessments
Structured, rubric-scored skills assessments reduce hiring bias and improve validity. Evidence, EEOC alignment, and steps to standardize tech evaluation fairly.
7 min readby The Vertana Team
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