14 Feb 2026 - 1 min read
Great experiments are less about statistical perfection and more about team clarity.
I use a one-page brief with three sections: assumption, test, and decision threshold.
Rules I follow
- Every experiment has a fixed end date before it starts.
- We define a "stop condition" and a "scale condition" up front.
- We always publish a short learning memo, even when results are neutral.
This keeps momentum high and prevents experiments from becoming open-ended side quests.
