PRODUCT ADVISORY COUNCIL
Establish a trusted baseline
The method
Establish a trusted baseline
A simple, reproducible end-to-end baseline makes improvement attributable.
When to use it
- AI improvements are hard to explain.
Ask yourself
- How do we know a new approach is better?
Put it into action
- Fix comparison conditions, add one change at a time, and remove it again to check its contribution.
Keep these limits in mind
- Lower training loss is not the same as better user outcomes; keep independent validation.