Product design question
What is acceptance criteria? What is it used for?
- American Express
- Product design
- Easy
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What this question tests
Foundational product management vocabulary and how it is applied in practice during feature delivery.
How to approach it
- Define acceptance criteria clearly, the specific, testable conditions a feature must meet to be considered complete and correct.
- Explain its purpose, aligning engineering, QA, and product on a shared definition of done before development starts.
- Give a concrete example, e.g. for a login feature, criteria might include correct error messages for invalid credentials and a maximum load time.
- Explain how it differs from a user story, the story describes the who and why, acceptance criteria defines the precise what and pass or fail conditions.
- Explain when it's written, ideally during backlog refinement before a sprint starts, with input from QA and engineering.
- Note its downstream value, reducing back and forth during QA and preventing scope disagreements at review time.
What a strong answer includes
- Gives a precise, testable example rather than a vague definition, e.g. specific error states and a load time threshold for a login feature.
- Clearly distinguishes acceptance criteria from a user story, showing understanding of where each fits in the process.
- Explains the collaborative process, involving QA and engineering early, not just the PM writing it alone.
- Connects the practice to a concrete downstream benefit, fewer QA disputes and clearer sprint completion.
Common mistakes
- Giving only a textbook definition with no concrete example.
- Confusing acceptance criteria with a user story or a full product requirements document.
- Not explaining who is involved in writing it or when.
Likely follow-up questions
- Can you give an example of acceptance criteria you've written.
- How do you handle disagreement about whether criteria are met.
- How detailed should acceptance criteria be for a complex feature.
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 4: Discovery and strategy for AI products
- Chapter 7: AI UX and human oversight: design for a system that is wrong sometimes
- Chapter 14: Get the job: the AI PM interview loop