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The Science of Dream Teams: How Talent Optimization Can Drive Engagement, Productivity, and Happiness

Mike Zani
4.9/5 (10135 ratings)
Description:From the CEO of The Predictive Index, the leader in talent optimization, comes Moneyball for HR and people management How do you find the perfect person for the job in a stack of hundreds of resumes? Why do some teams succeed while others--made up of equally talented people--stumble? If the quality of your workforce is your company's most important asset, then why are your managers still basing these critical decisions primarily on interviews and their gut instincts? In The Science of Dream Teams, Mike Zani details a data-driven approach to talent optimization that makes hiring, motivating, and managing people more efficient and effective than ever. It employs sophisticated assessments, tools, and software that enable leaders to: measure the traits and characteristics that predict success in a role or fit on a team; build finely tuned project teams and well-balanced leadership teams; boost employee productivity, engagement, retention--and happiness; and unlock the hidden potential of individual workers and your organization as a whole. Whatever the business or industry, this game-changing approach has the power to unlock an unbeatable competitive advantage. The Science of Dream Teams will show you how.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with The Science of Dream Teams: How Talent Optimization Can Drive Engagement, Productivity, and Happiness. To get started finding The Science of Dream Teams: How Talent Optimization Can Drive Engagement, Productivity, and Happiness, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN
1260473759

The Science of Dream Teams: How Talent Optimization Can Drive Engagement, Productivity, and Happiness

Mike Zani
4.4/5 (1290744 ratings)
Description: From the CEO of The Predictive Index, the leader in talent optimization, comes Moneyball for HR and people management How do you find the perfect person for the job in a stack of hundreds of resumes? Why do some teams succeed while others--made up of equally talented people--stumble? If the quality of your workforce is your company's most important asset, then why are your managers still basing these critical decisions primarily on interviews and their gut instincts? In The Science of Dream Teams, Mike Zani details a data-driven approach to talent optimization that makes hiring, motivating, and managing people more efficient and effective than ever. It employs sophisticated assessments, tools, and software that enable leaders to: measure the traits and characteristics that predict success in a role or fit on a team; build finely tuned project teams and well-balanced leadership teams; boost employee productivity, engagement, retention--and happiness; and unlock the hidden potential of individual workers and your organization as a whole. Whatever the business or industry, this game-changing approach has the power to unlock an unbeatable competitive advantage. The Science of Dream Teams will show you how.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with The Science of Dream Teams: How Talent Optimization Can Drive Engagement, Productivity, and Happiness. To get started finding The Science of Dream Teams: How Talent Optimization Can Drive Engagement, Productivity, and Happiness, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN
1260473759
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