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Predictive Retention Guide
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This guide outlines methodologies for leveraging predictive analytics to improve strategic employee retention planning.
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Read at HRTech Series→
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The role of learning and development leaders is undergoing a significant transformation driven by the adoption of artificial intelligence, according to Go1's CEO.
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Read at HR Dive→
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Experienced HR professionals express concern regarding the current state of artificial intelligence adoption, citing high demand for AI solutions alongside low resource availability and significant forthcoming decision points.
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Read at HR Executive→
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Human resources leaders navigated substantial workplace complexity in 2025, including generational friction and difficulties implementing artificial intelligence tools, requiring specific successful strategies.
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Read at HR Executive→
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“Our “efficient” AI screener requires constant supervision”
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After six months of using a sophisticated AI screening tool for volume roles, the team finds themselves constantly overriding or correcting its decisions, questioning whether the promised efficiency ever materializes beyond generating more manual correction work.
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Read at r/recruiting→
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“Angry, adversarial recruiter during pre-screen”
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During a pre-screen for an analytics consulting role, the recruiter became hostile when the candidate expected the recruiter to provide an overview of the company's products, accusing the candidate of insufficient preparation and terminating the call prematurely.
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Read at r/recruitinghell→
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“Rejected after 3rd round interview, job immediately reposted with lower salary”
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Following a seemingly successful third-round interview, the candidate was rejected only to immediately see the same role relisted on LinkedIn with a reduced compensation package.
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Read at r/recruitinghell→
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