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AI productstandard
How would you evaluate whether an AI summarization feature in an email app is good enough to launch?
How to approach it
Define what good means for a summary (accurate, complete on the key points, short) and build a test set before arguing about launch.
How a strong answer opens
“Before arguing about launch, I'd define a good summary: accurate, covers the key points, and short. Then I'd build a test set of real, varied emails to check against.”
Outline of a strong answer
Try answering out loud for a few minutes before you open this.
- Define quality criteria: accuracy, key points covered, length
- Build a test set of real, varied emails with privacy controls
- Score with human reviewers plus automated checks
- Set launch thresholds, especially for factual errors
- Run a small beta and track user ratings
- Plan ongoing monitoring after launch
Where this question usually goes wrong
Relying on a few demos or a sense that summaries look fine, with no test set and no threshold for factual errors.
Learn the method
Evals and quality in Module 7, AI product interviews.
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