Two years ago I made the transition from academic science to data science. There are many aspects of industry that mesh better with my working style. However one very important industry practice that I feel is lacking in academia (at least for many of the people I have spoken to) are mechanisms for regular evaluation and feedback — especially for graduate students and postdocs.
Lately I've been facilitating workshops on the Impostor Syndrome and having many conversations with people about my process of dealing with and overcoming my own impostor feelings. For me a huge problem with my experience in graduate school was a constant nagging fear that I wasn't performing at an adequate level. There are so few metrics by which to measure success; if I didn't published N papers, make any major discoveries, or win any prizes or grants — how was I to know if I was ‘cutting it?’ And even if I did accomplish some of these milestones, there were always stories of other people who did it more, better, and faster. This was the perfect breeding ground for my impostor thoughts.