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> I believe you want to optimize for the hardest day rather than the average day. I think this is a huge mistake. I work in data science, and nearly universall
by Cd00d 4y ago
> I believe you want to optimize for the hardest day rather than the average day.
I think this is a huge mistake. I work in data science, and nearly universally my colleagues are motivated by opportunities to learn. If you're testing for the very rare day, so that your employee has the right answer in their front pocket when that happens they are never going to feel challenged, feel like they're growing, and they're going to jump ship.
I think you're doing snobby filtering, and it's not to your benefit.
- dlkf 4y ago> If you're testing for the very rare day, so that your employee has the right answer in their front pocket On the hard days, the answer has never been seen before, and therefore can’t be in anyone’s pocket. You need to know that you have employees who are smart enough to discover it. Technical interviews are how you find them. The observation that your employees are motivated by learning opportunities is useful for how you manage them, but this doesn’t tell us how to hire people who can do the job.