Future Ready Leadership With Jacob Morgan23 Touko 2016

Ep 86: Primed To Preform - The Science Behind Building a Legendary Workplace Culture

Lindsay McGregor is the co-founder and CEO at Vega Factor, a company that helps organizations build high-performing, adaptive cultures. She is also the co-author of a New York Times Best Seller, Primed to Perform: How to Build the Highest Performing Cultures Through the Science of Total Motivation. Lindsay received her B.A. from Princeton University and an MBA from Harvard, and has worked with Fortune 500 companies, nonprofits, and universities. She started her career working in strategy and found that one question often popped up.. "Do we have the culture to pull off the strategy?" Many companies would chose small, incremental improvements in their culture. She found that it was difficult to convince companies that big culture changes could really impact their performance and bottom line.

Lindsay teamed up with Neel Doshi to research what is a great culture. They tested dozens of theories through research around the world, from 50 major companies and 20,000 people. They found that one truly predicted performance and that is total motivation. Total motivation, or ToMo, is the simple theory that why people work determines how well they work. There are six reasons why people work - three lead to higher performance and three lead to lower performance. They range from play, which is working because you love the work itself, to inertia, which is showing up today simply because you showed up yesterday. Many factors influence an employee's ToMo score like performance reviews, pay, and design. Organizations can measure employees' individual ToMo scores and then use them to measure the organization's ToMo score as a whole. Not many companies have a high ToMo score... most are pretty low. A common misconception that can fuel this is that leaders have to be tough dictators to get high performance. However, happy employees and high performing organizations are not competing things. Investing in one leads to the other. Organizations should create a balance of play, purpose, and potential to combat low performance and increase their bottom line! Things you will learn in this episode:

Total motivation, or ToMo
The six reasons why people work
The two types of performance
Cobra effect
How annual performance reviews affect ToMo
Blame bias
Fluid vs. frozen organizations

Links From The Episode: Primed To Preform On Amazon (Music by Ronald Jenkees)

Tämä jakso on lisätty Podme-palveluun avoimen RSS-syötteen kautta eikä se ole Podmen omaa tuotantoa. Siksi jakso saattaa sisältää mainontaa.

Jaksot(1267)

Anthropic Researcher Quits Over AI Extinction Fears, OpenAI Agents Claim a Math Breakthrough, & the Panic Behind the Headlines

September 9, 2026: I unpack the viral resignation of Anthropic researcher Jacob Coxon, who warned that AI labs are racing toward self-improving superintelligence and gambling with human lives. Then I ...

9 Syys 46min

How To Lead A Multi-Year AI Transformation and the Critical Middle of Change

I talk with Adam Kautzner, President of Evernorth Care Management and Express Scripts and EVP of Customer Personalization for The Cigna Group, about what it takes to lead a major multi-year transforma...

7 Syys 44min

OpenAI's GPT-6 Astra, the Surprising Jobs Boom, and the Question of Whether AGI Has Arrived

September 4, 2026: I look at OpenAI's new GPT-6 Astra model and why even powerful AI agents still may not be ready to take over full jobs. Then I get into the August jobs report, which came in far str...

4 Syys 24min

Uber's 10% Workforce Cut, Employers Fight AI Interview Fraud, & iFood Builds a CEO Digital Twin

September 2, 2026: I share key lessons from my CHRO session with iFood CEO Diego Barreto, including why he is investing in AI even with negative ROI, how he built a digital twin, and how iFood is reth...

2 Syys 35min

Why Enterprise AI Adoption Is Failing: AI Sprawl, Low Trust, and the ROI Problem

I talk with Ofir Bloch, SVP of Corporate Marketing at WalkMe, about why enterprise AI adoption is harder than buying tools and handing out licenses. We get into WalkMe's State of Digital Adoption rese...

31 Elo 53min

How to Redesign Work With AI, Jensen Huang vs Bill Gates on Robot Taxes, & the Jobs AI Won't Replace

August 28, 2026: I break down what redesigning work with AI actually means and share a practical framework for removing human glue, handoffs, waits, and routine work while creating new value. Then I g...

28 Elo 39min

Meta's AI Workforce Plan Implodes, Anthropic's $30 Trillion Bet & Gallup Reveals What Gen Z Is Missing

August 26, 2026: I look at Reuters' report on Meta's Project OT, the internal plan to turn Meta into an AI-native company with smaller, talent-dense teams overseeing software that does more of the dai...

26 Elo 42min

Three-Year College Degrees, Junior Tech Jobs Get Harder, and Why Performance Reviews Won't Die

August 24, 2026: I look at the rise of three-year bachelor's degrees and why the 120-credit college model was never really designed to measure learning. Then I get into new data showing softwAugust 24...

24 Elo 38min