From the course: Data Science Team Lifecycle Management

Unlock the full course today

Join today to access over 24,100 courses taught by industry experts.

How to avoid the Player/Coach trap

How to avoid the Player/Coach trap

From the course: Data Science Team Lifecycle Management

Start my 1-month free trial Buy for my team

How to avoid the Player/Coach trap

“

- If you're an individual contributor who also manages the work of other employees you're what's called a player coach. But for data science managers, this approach can often be a trap and often leads to confusion, frustration and efficiency for both workers and managers alike. Let's take a closer look to better understand what this looks like. As a data science team leader you may face the challenge of trying to be both a player, the individual contributor, and a coach, the manager. This challenge usually arises for one of the following reasons, a shortage of resources because managers feel they need to step in or are asked to to help pull the load. Or managers try to lead by example by demonstrating to others how to do the work. Sometimes managers are trying to create, or maintain a culture of teamwork in collaboration. Other times smaller teams don't warrant a full-time manager. There are also times when you stick…

Contents