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A/B testing and causal inference
UI/UX Designer
A/B testing and causal inference questions
11 questions on A/B testing and causal inference for ui/ux designers, easiest first.
Medium
1
Reading an early A/B test result
medium
Hard
10
What caused the lift
hard
An early spike after launch
hard
Wins on mobile, loses on desktop
hard
Is a 10% vs 12% difference real
hard
An uneven 50/50 split
hard
Detecting a smaller effect
hard
A lift that fades
hard
Twenty metrics, one winner
hard
What a p-value of 0.03 means
hard
Measuring long-term impact
hard
