Practical guides on structured interviews, async screening, candidate verification, and ATS integrations — written by the Proofglint team.
Unstructured interviews introduce bias at every stage. We break down the evidence and show how structured question sets close the gap between good intentions and fair outcomes.
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Async video has moved from novelty to necessity. Here is how to write prompts, set expectations for candidates, and score responses without spending more time than a phone screen.
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Connecting your verification layer to Greenhouse or Lever sounds technical. It does not have to be. We explain the three integration patterns and which one fits your hiring volume.
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Industry data shows 40% of resumes contain at least one inflated claim. AI verification catches the most consequential ones before they reach a live interview or, worse, an offer.
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We ran the numbers with four design-partner companies. The median time saving per hire was 7.2 hours of recruiter time. Here is how we calculated it and what the ceiling looks like at scale.
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Most scorecard templates are abandoned because they take longer to fill than a gut-check email. We explain the five fields that matter and the ten that do not.
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The short answer: it depends entirely on how you frame it. We share what candidates say about completing async flows and the three design choices that determine whether it feels human or transactional.
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We have integrated with all three. Each has different webhook patterns and scorecard field structures. Here is the honest comparison for teams choosing their first ATS or switching.
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Generic rubrics collapse the first time a candidate gives an unexpected but strong answer. We walk through the principles behind calibrated rubrics that flex without losing their scoring integrity.
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Generic AI question banks produce generic questions. The only reliable way to get questions that surface role-relevant signal is to ground generation in the specific language of your job description.
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