Why interviewers test it
Senior PMs decompose goals into a tree: north-star → outputs → inputs → experiments. Interviewers want to see the tree, not a single number.
Practice questions that drill input and output metrics
- Improve content discovery for a streaming service
- Order frequency drops in week 4 for grocery delivery
- Onboarding for prosumer creators
- Lift trial-to-paid for a productivity SaaS
- Choose metrics for a creator marketplace
- Diagnose a 12-point activation drop
- North Star for a B2B collaboration tool
- A/B test a checkout redesign
- Conversion up, session length down
- Onboarding completion vs. day-7 retention
- Two segments, opposite signals
- Engagement drops a week after launch
- Input metrics for a creator's first 14 days
- Power and runtime for an A/B test
- Drop-off at 'add payment'
- North Star for a podcast platform
- Input metrics for trial-to-paid
- Input metrics for week-1 retention
- Input metrics for content quality
- Input metrics for marketplace liquidity
- Pricing-page bounce
- Sign-up → first action funnel
- Drop-off at 'invite teammates'
- First A/B test on a small product
- Segment a small experiment
+ 45 more in the full bank.
Practice this concept in PrepOS
Open the practice simulator, select "Input and output metrics" under your weakest concepts, and the adaptive queue will surface reps that drill it first.
Practice input and output metrics →