Mike Zani with The Science of Dream Teams: How Talent Optimization Can Drive Engagement, Productivity, and Happiness — HBE ENGAGE EVENT
Mike Zani is the CEO of The Predictive Index, a talent optimization platform that uses over 60 years of proven science and software to help businesses design high-performing teams and cultures, make objective hiring decisions, and inspire greatness in people. Its 8,000+ clients include Bain Capital, Blue Cross Blue Shield, DoorDash, LVMH, Nissan, Omni Hotels, and VMware. Zani is also the co-founder and partner at Phoenix Strategy Investments, a private investment fund. An avid sailor, he was coach of the 1996 US Olympic Team. He holds a BS from Brown University and an MBA from Harvard Business School.
About The Science of Dream Teams: How Talent Optimization Can Drive Engagement, Productivity, and Happiness
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
- 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.