Problem
Scenario
You work on a work-management product and run an A/B test on a small onboarding change in the project creation flow. The treatment shows only a modest lift on the primary conversion metric, and some stakeholders argue that the gain is too small to matter while others want to ship it.
Question
How would you explain why a test with a small lift can still be worth shipping? What factors would you use to decide whether that lift is meaningful enough to launch?
Metrics
Practicing as: Data Scientist interview at SquarespaceHi, I'll play your Squarespace interviewer for the Data Scientist role. Candidates describe these interviews as mixed and moderately difficult, so expect me to be professional and fair. Take your time with the question above and answer like we're in the room.
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