PRODUCT ADVISORY COUNCIL
Understand data before complexity
The method
Understand data before complexity
Data and preprocessing errors may matter more than model structure.
When to use it
- Unclear results in a data-driven product or model.
Ask yourself
- Poor results: should we build something more complex?
Put it into action
- Inspect real and edge-case samples, labels, duplicates, damage, and bias. Confirm what actually enters the system before adding complexity.
Keep these limits in mind
- This adapts a training practice to product work; more data is not automatically better.