You & AI
One case from working life. Make your call, then see what our AI says and what the research shows.
Your Team Is Talking in Circles. Who Is the Problem?
Three capable people, one launch, and a meeting that ends with someone walking out. Make your call, see what it sets in motion, then find out what kind of problem-solver you are.
You Told Her She Isn’t Ready. Now She’s Pulling Away.
A development conversation went badly, and one of your best people has gone quiet. Make your call, see what it sets in motion, then compare your path with our AI and the research.
You Have Feedback for Tom. When Do You Give It?
A colleague complains about one of your best people, and his development conversation is two weeks away. Make your call, see what it sets in motion, then compare your path with our AI and the research.
Your Best Seller Wants to Lead. Do You Say Yes?
Two candidates, one team lead role. Make your call, see what it sets in motion, decide again, then compare your path with our AI and the research.
Keep reading
When “Awesome” Means “Okay”
“Great start!” “Passt.” “Pas mal.” Three ways to praise, three ways to be misunderstood. A tongue-in-cheek dictionary of American, German and French office talk, the research behind it, and seven habits that get your feedback through.
Who Made YOU Better?
Thoughts on one of the most important leadership skills
Why Am I Talking? Five Habits of Real Listening
Silence, catching the last sentence, and ten minutes a day: five habits that help people say what they came to say.
Superbosses, Rembrandt and a Quiz: Your September Issue
Leaders who build other leaders, Rembrandt's workshop, a quiz on learning and leadership and fresh science on coaching and AI.
Grow Teachers
In 1913 Maria Montessori filled Carnegie Hall. Within a decade her American movement had faded. She learned that a method lives through the people trained to use it, and spent the rest of her life training them.
Write Down Why
Ray Dalio was wrong in public, then he wrote down why. In 1982 he predicted a collapse that never came, lost nearly everything and turned the mistake into a system for learning.