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

· McGraw Hill-Ascent Audio · Narrated by Michael Butler Murray
Audiobook
5 hr 40 min
Unabridged
Eligible
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About this audiobook

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.

About the author

Mike Zani is the CEO of The Predictive Index, a talent optimization company that uses behavioral, cognitive, and job assessments to make hiring, motivating, and managing people more efficient and effective. Zani is also a cofounder and partner at Phoenix Strategy Investments, a private investment fund.

Michael Butler Murray is a professional actor, narrator, and musician who has voiced over fifty-five audiobooks. His recorded titles run the spectrum from dramatic to comedic fiction and nonfiction titles varying in topics from the Middle East to understanding your dog's olfactory senses.

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