Spec-Based Coding Interviews: A Better Alternative to Trivia
A spec-based coding interview gives candidates a written task and asks them to implement against it. This is closer to real software work than trivia, puzzle memorization, or artificial whiteboard constraints.
Why specs improve signal
Most engineering work starts with requirements. Candidates need to understand constraints, ask clarifying questions, make tradeoffs, and update real files. A spec-based interview brings those skills into the assessment.
What a good spec includes
The spec should be clear enough to guide implementation but open enough to reveal judgment. It should include expected behavior, edge cases, and any constraints the candidate should consider.
- check_circleA concise product or engineering goal
- check_circleExpected inputs and outputs
- check_circleStarter files or relevant context
- check_circleA small number of edge cases
- check_circleReview criteria for the interviewer
Where AI fits
AI does not remove the need for a spec. It makes the spec more important. When candidates use AI, the written task becomes the shared source of truth for checking whether the output actually solves the problem.
FAQ
Are spec-based interviews better than algorithm interviews?
They are often better for product engineering roles because they evaluate implementation, requirements understanding, and tradeoffs instead of memorized problem patterns.
Can spec-based interviews be used remotely?
Yes. EvalSpec runs browser-based spec-first interviews with shared files, making the format suitable for remote teams.
Run this interview format in EvalSpec.
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