Remove proving-math-works-flawed-coaching-arguments
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Proving Math Works, Flawed Coaching Arguments

Partners in Excellence

There seem to be no end of articles on who and how managers should invest their time in coaching. Recently, I read another, with lots of people piling on with their opinions and proving it with numbers. As is usual, most of these discussions that prove little more than math works. But then, we think again.

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What If We Start Designing Our Organizations For “A Players” Only?

Partners in Excellence

We settle into routines about how we coach and improve each, at best, shifting the bell curve (or normal distribution curve) a little to the right. We have to continue to coach, develop, and grow them. All of us, me included, tend to think of our organizations as mixes of A, B, C players. It is their expectation of us.

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“Behind Every C Player, There’s A …….”

Partners in Excellence

Yeah, I know some of you are going to pull out the normal distributions or bell curve argument. Sure there might be the statistical argument, there might be the normal distribution. The only reason we have C players is that we permit them to be in the organization and we do nothing about them. Let’s make it A+, A, A-!

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Settling For Non-Performance

Partners in Excellence

” “What coaching and development are you doing to address these performance issues?” We don’t take the time to coach and develop our people–helping them achieve the highest levels of performance. We rush them through onboarding, then expect them to perform.

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The Importance Of Small Changes In Improving Performance

Partners in Excellence

While we and our managers (who are trying to coach us) may be well intended and highly motivated, we set ourselves up for failure from the outset. It’s kind of like some bad coaching I got on my golf swing. To illustrate this, let’s do the math between two performers. Let’s say one is 99.5%