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Structuring Your Interview Process for Success

Not all those who are tasked to conduct interviews know how to do so. Poor structure and planning can lead to poor results. Interviews can also be prone to many logical errors such as recency bias, halo bias, horn bias, like me bias, like us bias, and many more. This topic will teach you how to avoid those biases. This content will help managers and HR professionals think through how best to organize and structure the interview so as to enhance its chances of leading to the selection of well-qualified candidates to fill vacancies.
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Taking the Reins on Managing Generative AI A Thoughtful, Human-Centered Approach to Safe Use of AI

Are you worried about the unintended consequences of AI? ChatGPT and other generative AI software will forever change the landscape of work. How should your organization engage with GenAI to benefit the business while maintaining security and privacy? Exactly where AI will take us may be uncertain, but you can navigate it intell

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5 New Ways to Hire for Hard-to-Fill Roles

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The Recruit Webinar series gets you up to speed on current trends in recruiting, just in time for our biggest event of the year.Filling positions that demand skill sets in short supply is vexing. Especially because many of these roles didn’t exist a decade ago, it’s critical for recruiters to take a fresh approach.
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The Virtual Workforce: Managing Loneliness

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Lonely workers are more than twice as likely as non-lonely workers to miss a day of work due to illness, twice as likely to miss work due to family obligations, and more than five times more likely to miss work due to stress. Annualized, lonely workers miss an additional two weeks of work compared to non-lonely workers.
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Winning with Data: How to Build a Data-Driven TA Operating Model

Talent acquisition (TA) professionals need data to succeed. Why? Because showing the true value of their contributions requires showing how TA metrics impact business metrics. But to do this, data needs to be at the heart of everything TA does. During this session, Ben Porr, Global Vice President of People Science at Harver, will discuss three key ways to start building a data-driven TA operating model.
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Gain a better understanding of discrimination claims that are made by employees and could cost and time for employers. Discrimination claims made by employees cost companies time and money. To manage risks, employers need to understand the federal laws governing discrimination and the investigation process. Learn tips to complete investigations to prove or disprove claims based on race, ethnicity, national origin, disability, age and religion.
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5 New Ways to Hire for Hard-to-Fill Roles

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The Recruit Webinar series gets you up to speed on current trends in recruiting, just in time for our biggest event of the year.Filling positions that demand skill sets in short supply is vexing. Especially because many of these roles didn’t exist a decade ago, it’s critical for recruiters to take a fresh approach.
Watch Now

The Virtual Workforce: Managing Loneliness

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Lonely workers are more than twice as likely as non-lonely workers to miss a day of work due to illness, twice as likely to miss work due to family obligations, and more than five times more likely to miss work due to stress. Annualized, lonely workers miss an additional two weeks of work compared to non-lonely workers.
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Winning with Data: How to Build a Data-Driven TA Operating Model

Talent acquisition (TA) professionals need data to succeed. Why? Because showing the true value of their contributions requires showing how TA metrics impact business metrics. But to do this, data needs to be at the heart of everything TA does. During this session, Ben Porr, Global Vice President of People Science at Harver, will discuss three key ways to start building a data-driven TA operating model.
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Proving or Disproving Employee Discrimination Claims

lorman

Gain a better understanding of discrimination claims that are made by employees and could cost and time for employers. Discrimination claims made by employees cost companies time and money. To manage risks, employers need to understand the federal laws governing discrimination and the investigation process. Learn tips to complete investigations to prove or disprove claims based on race, ethnicity, national origin, disability, age and religion.
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