Why the engineering interview process is broken (and what actually works)
The standard engineering interview process is optimizing for the wrong thing.
Most companies test: Can this person solve a LeetCode problem under pressure?
What they actually need to know: Can this person operate effectively in our specific environment?
These are very different questions.
I've been involved in hundreds of engineering hires across different stages of startups. The candidates who performed best in interviews were not always the ones who performed best on the job. And the ones who struggled most in interviews? Some of them became the strongest engineers on the team.
What actually predicts performance at an early-stage startup:
- How they handle ambiguity. Give them a problem with no clear answer and watch how they think, not what they conclude.
- How they communicate when they're stuck. Do they disappear for 3 days and come back with a solution, or do they flag early and ask for context?
- What they do when something breaks. Not what they say they'd do. What they actually did, in a real situation.
The interview process most startups use was designed for big tech companies hiring at scale. It doesn't translate to a 10-person team where everyone needs to be a generalist who takes ownership.
I'm not saying technical skills don't matter. They do. But if that's all you're testing, you're filtering for the wrong population.
What's been your experience? have you found interview formats that actually predict on the job performance?