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It’s not often I get to do these kinds of discussions like the one I had with Ewa Priestley, Laura Modiano and Niilo Säämänen last week at Slush. We had a chat about how performance management is done at Wolt and Miro, the role of continuous feedback, and the importance of great leadership. And finally, how AI and software fit into that picture. I was really impressed to hear how boldly companies like Miro and Wolt are going about this, and to hear about AI’s potential from the experts like Laura / OpenAI. Find the full discussion on video in comments. Would love to hear comments and discuss the topics. 4 key takeaways: 360 reviews and performance rounds suck. The tooling built around the traditional perf processes serve employee evaluation, budgeting, and the organization’s point of view on performance, but don’t help individuals to develop their abilities. Great leadership cannot be automated. I think Ewa put it well: leadership can only be learned through a lot of practice, and by honing your judgement. Great performance is not only improved by process, but by maintaining a culture that makes your organization great. 1-1 meetings are a key to coaching people, but leaders lack the time to prepare for them. Like Niilo said: no leader has the luxury to spend most of their time thinking about people's performance. You have to be smart with the time you have for it, and performance management has to be integrated into your existing workflow. AI can help here 🤖 Feedback is most effective when served fresh. I feel I heard it from all the speakers: to change someone’s behavior, feedback needs to be constant, immediate, and constructive. All kinds of defenses come up when feedback comes late, is out of context, or lacks examples.