Daily peeking can quietly triple your false-positive rate, and almost every customer does it. The math of why, the multiple-comparisons cousin, and how to deliver the bad news without losing the room.
more free answers with an account · no card
← Machine Learning & Data Science / 20
mediumMetaGoogleSnowflake
The customer checked the A/B dashboard daily and stopped the test the day it hit significance. What's wrong, and what do you tell them?
Daily peeking can quietly triple your false-positive rate, and almost every customer does it. The math of why, the multiple-comparisons cousin, and how to deliver the bad news without losing the room.
Updated Aug 2026 · Grounded in real Forward Deployed Engineer interview loops and written to a senior-engineer editorial bar.
UP NEXT ON YOUR JOURNEY
Next in this trackThe customer can't randomize, every user must get the new model. How do you measure whether it worked?Next in this trackSix months after deployment, the CFO asks: 'What has this model actually earned us?' How do you answer?Next in this trackYour model is live at a customer. What do you monitor, and how do you catch drift before the customer does?
DISCUSSION · 0
No comments yet — be the first to share your approach.