Meta·Data Analyst·Technical Phone Screen
- How would you find the average purchase value?
“Pretty surface-level as asked, but I second-guessed myself on edge cases like nulls and zero-value transactions.”
FAANG / Big Tech
Most of these Meta write-ups come from Software Engineers (1,194), then Data Scientists (489) and Product Managers (453). The most reported rounds are the technical phone screen (1,190), the product sense round (466), the system design round (255) and the behavioral / leadership round (205).
2377 interview notes · updated Jul 2026
“Pretty surface-level as asked, but I second-guessed myself on edge cases like nulls and zero-value transactions.”
“This one I felt decent about.”
“I knew the answer but fumbled the derivation order a bit.”
“Classic problem but I still second-guessed myself on whether to go with sorting, a min-heap, or quickselect.”
“Spent the first minute just mapping out the data flow between the two systems, which I think was the right call.”
“I went straight to a story about a dashboard where the event data was just wrong for weeks before anyone noticed.”
“The ordering constraint is what makes this annoying.”
“I went straight to user segmentation and started listing out donor types, which in hindsight was probably too narrow too fast.”
“This is the kind of question where you can go a hundred directions and that's exactly the problem.”
“The 'why build it' part felt almost too easy and I think I rushed through it to get to metrics, which was probably the wrong call.”