What information do you need in a user story?

What's really being asked

This question assesses if you are a "product-minded engineer." The interviewer wants to see that you think beyond the ticket and connect your code to the user's problem and the business's goals. They are testing your ability to ask "why" and use the answer to make better technical tradeoffs, suggest simpler solutions, and contribute to the product's success, not just its implementation.

The full answer

A strong answer outlines the key contextual elements needed beyond technical specs. First, the User Persona: who is this for (e.g., a new user, a power user, an admin) and what is their context? Second, the Problem and Motivation: what specific pain point is this user facing and why is solving it important now? This is the "so that..." part of the story. Third, Success Metrics: how will we know we've solved the problem? This should be a measurable outcome, like reducing support tickets by 10% or decreasing checkout time by 500ms. Fourth, Scope and Constraints: what is explicitly out of scope for this iteration to prevent scope creep.

The mistakes people make

A common red flag is treating the user story as a rigid contract and complaining when it's not perfectly detailed. A weak answer focuses only on what's missing for you to build it, such as "I need the API endpoints" or "I need the exact hex codes." A senior engineer is expected to help define these details by understanding the user problem, not just consume them. Another poor response is to simply recite the "As a..., I want..., So that..." format without explaining what information you need within that structure to make informed decisions.

What usually comes next

Expect follow-ups like: "How would you handle a user story that's missing this information?" (A good response involves proactive communication with the Product Manager or designer). Or, "Give an example of a time when understanding the user problem allowed you to propose a better technical solution."

A concrete example

Imagine a story that says "As a user, I want to export my data to CSV." A junior engineer builds the button. A senior engineer asks for more context. Who is this user? An analyst trying to build a weekly report. What problem are they solving? They need to join our app's data with another system's data. This context might reveal a better solution. Instead of a manual CSV export, perhaps a scheduled data sync via an API or a direct integration would solve the root problem more effectively, saving the user hours of work each week.