Stop defining a manager's job by tasks like meetings or feedback. Instead, define it by the goal: getting better outcomes from a group. Your only tools to achieve this are three levers: getting the right People, defining the right Process, and aligning everyone on a clear Purpose.
The biggest blind spot for new managers is the temptation to fix individual problems themselves (e.g., a piece of bad code). This doesn't scale. They must elevate their thinking to solve the system that creates the problems (e.g., why bad code is being written in the first place).
People won't bring you problems if they fear your reaction. To build trust, leaders must not only control their emotions but actively thank the messenger. This reframes problem-reporting from a negative event to a positive act that helps you see reality more clearly.
Developing exceptional taste requires learning from the best. A tactical method is to ask one skilled person for the 10 peers they admire most. Then, ask those 10 people the same question. The patterns that emerge will reveal the true masters, whose work and thinking you can then study.
Feedback often fails because its motivation is selfish (e.g., 'I want to be right,' 'I want to vent'). It only lands effectively when the giver's genuine intention is to help the other person become who *they* want to be. This caring mindset dictates the delivery and reception.
AI's rise means traditional product roles are merging. Instead of identifying as a PM or designer, focus on your core skills (e.g., visual aesthetics, systems thinking) and use AI to fill gaps. This 'builder' mindset, focused on creating end-to-end, is key for future relevance.
To lead in the age of AI, it's not enough to use new tools; you must intentionally disrupt your own effective habits. Force yourself to build, write, and communicate in new ways to truly understand the paradigm shift, even when your old methods still work well.
Top product teams like those at OpenAI don't just monitor high-level KPIs. They maintain a fanatical obsession with understanding the 'why' behind every micro-trend. When a metric shifts even slightly, they dig relentlessly to uncover the underlying user behavior or market dynamic causing it.
Like chess players who still compete despite AI's dominance, humans will continue practicing skills like writing or design even when AI is better. The fear that AI will make human skill obsolete misses the point. The intrinsic motivation comes from the journey of improvement and the act of creation itself.
Don't view AI tools as just software; treat them like junior team members. Apply management principles: 'hire' the right model for the job (People), define how it should work through structured prompts (Process), and give it a clear, narrow goal (Purpose). This mental model maximizes their effectiveness.