I keep overcompliceting product sense scenarios – either getting lost in details or missing core user needs. Found some community breakdowns of actual FAANG product decisions that use first-principles questioning. Anyone tried applying these to interviews? How do you balance structured analysis with time constraints? Specifically curious about breaking down marketplace or API products.
First-principles analysis succeeds when anchored to business metrics. Example: A member-posted Amazon Music case showed breaking down ‘increase engagement’ into 12 foundational axioms (play session duration, skip rates, device mix). Timebox each axiom to 90 seconds. Apply 80/20 rule – prioritize axioms impacting ≥3% of target metric per internal PM guidance.
first principles? more like first-grade principles. real talk: FAANG panels want to see you ask ‘why’ 5 times then pivot to tradeoffs. check the airbnb payment failure post in the repo – dude dissected payment latency like a SOC analyst and got rejected for ‘missing big picture’. balance is a myth. adapt to your interviewer’s mood.
im so lost on this too… tried first principles on a mock and the PM said ‘thats not how we do it here’. but the community examples look legit? maybe need to mix with circles method?? help!
First-principles is potent but requires calibration. Start with member-curated breakdowns of Microsoft Teams vs Slack integrations. Notice how veterans isolate 3-4 atomic units (e.g., ‘user identity synchronization’). In interviews, explicitly state: ‘I’ll decompose into core functions – we can dive deeper on 1-2 based on your priorities.’ Controls scope while demonstrating depth.