A whiteboard interview alternative that measures the actual job
Whiteboards test memorized algorithms. Take-homes test free time. Probe measures judgment under realistic conditions — async, with the AI assistant on, scored against your rubric with citations.
If you're looking for an alternative to whiteboard interviews, you've probably already noticed the core problem: the whiteboard measures a candidate's ability to perform a data-structure puzzle from memory, under social pressure, with no tools — a situation that never recurs after the offer. It rewards recent prep and punishes people who've been busy shipping real software.
The usual escape hatch is the take-home. But take-homes trade one problem for three: they're slow, they're unfair to anyone without a free weekend, and in an AI world they're invisible — you can't tell who understood the code they submitted.
Measure judgment, not recall or free time
Probe is built around realistic tasks in a real editor, with the AI assistant the candidate will actually use turned on. A silent watcher AI captures the whole session — prompts, edits, test runs — and scores it against the dimensions you define. You see decomposition, verification, and recovery as they happen, not a polished artifact of unknown origin.
How the three formats compare
- Whiteboard: fast, but measures prep, not the job, and assumes a tool-free world that no longer exists.
- Take-home: realistic but slow, unfair, and gameable by AI with no process visibility.
- Probe (AI-native): async and fast, assumes AI is present so it can't be gamed by it, and returns an evidence-cited scorecard in minutes.
For the full breakdown, read whiteboard vs take-home vs AI-native: what actually predicts performance — or see how the underlying approach works on the AI-native interview overview.
Common questions
What's wrong with whiteboard interviews?
They measure recall of data-structure puzzles performed from memory under pressure with no tools — the exact opposite of the job. They correlate with interview prep, not on-the-job performance, and they penalize experienced engineers who've spent years shipping instead of grinding LeetCode.
Aren't take-homes already a better alternative?
They're more realistic, but they're slow (multi-day turnaround plus a reviewer reading every submission), unfair to candidates without spare weekends, and trivially completable by AI with zero visibility into who actually understood the code. A take-home you can't see the process behind is a code sample of unknown provenance.
How is Probe different from both?
Probe gives candidates a realistic task in a real editor with an AI assistant available, captures the entire process, and grades it automatically against your rubric. It's async like a take-home but returns an evidence-cited scorecard in minutes — and because it assumes AI is present, it can't be gamed by it.
Can we still talk to the candidate?
Yes. You can add an optional voice debrief where the candidate walks through what they built, so you get the 'can they defend it?' signal without scheduling a full live panel.
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