Your question is Prioritize Across Competing Data Projects. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
You're supporting multiple data science efforts at once, and several important tasks are competing for your time. Some work is urgent, some is high impact but less time-sensitive, and different stakeholders are pushing for different outcomes.
How do you prioritize competing tasks when you're working on multiple projects at the same time?