From the course: Leading Teams Working with Data: Pitfalls and Best Practices
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Evaluations
From the course: Leading Teams Working with Data: Pitfalls and Best Practices
Evaluations
- One of the most important tools to improve a data analysis is feedback. So whether you're working with a team or whether you're trying to improve your own performance, using feedback to get there is critical. For my people, I use formal and informal evaluations. Informal during shorter periods or projects and formal evaluations at various specific periods of time, like once a quarter. But some companies do this once every six months or once a year. The rubric on which I evaluate my people, I make transparent and clear. They are evaluated along four different lines, completeness, accuracy, timeliness, and neatness. Those are the four building blocks of good data analysis and of keeping stakeholders and clients happy. These might sound like very clear, transparent goals to meet, and they should sound that way and should be in reality. After all, if you want people to get better at what they're doing, how you evaluate…
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