What Your Hiring Scorecard Means (And How to Use It)
How to read an AI interview scorecard — the radar, the recommendation bands, strengths and growth areas — and turn it into a study plan.
A scorecard — human or AI — is not a verdict on you as an engineer. It's a diagnostic: a snapshot of how you performed against a rubric on a particular day. Read the parts correctly and it tells you exactly where to study next. Here's how to read each section.
The five radar metrics
The radar in an AI interview report measures five categories on a 0–100 scale:
- Correctness — were the answers right, and the code sound?
- Depth & Internals — did you know the mechanism behind the answer, not just the definition?
- Communication — was the reasoning clear, structured, and followable?
- Problem Solving — did you break problems down, weigh approaches, handle edge cases?
- Code Quality — was the code clean, idiomatic, and complexity-aware?
Two categories are worth naming: depth is the most common weak axis for mid-level candidates, and communication is the most commonly underrated — it's a full fifth of the score, and it's trainable faster than depth.
The recommendation bands
The overall score maps to a recommendation with five bands:
| Score | Recommendation |
|---|---|
| 85+ | Strong hire |
| 70–84 | Hire |
| 55–69 | Lean hire |
| 45–54 | Lean no-hire |
| Below 45 | No-hire |
Treat the band as a calibration, not a label. A lean-hire score means: you're close, and the gap is usually one specific category — often depth, communication, or a single topic cluster. That's the actionable reading.
What a score of "6/10" on a turn actually means
Per-turn scores are built from three signals: correctness (worth the most), depth, and communication. So a 6/10 turn is rarely a wrong answer — it's usually correct-but-thin. The evaluator notes on each turn are the gold: "Solid, but didn't discuss complexity" tells you exactly what the score deducted. Read the notes before the number.
Strengths, growth areas, next study topics
The report's lists are the direct diagnostic payload:
- Strengths — things to keep doing. If communication is a strength, your prep should keep saying answers out loud, not just reading them.
- Growth areas — the specific deductions. If depth is flagged, your next month is mechanisms: closures, the event loop, memory, complexity bounds — not more question volume.
- Next study topics — concrete next items, generated from where you lost points. This is your study plan. Do them before touching anything else.
The honest part to remember: every item on these lists traces to a specific turn in the transcript. A flagged growth area is a real, visible thing you said — which means it's fixable.
How to turn the scorecard into a plan
Three rules:
- Fix the bottom category first. If depth is 62 and everything else is 80, all study time goes to mechanisms until the gap closes. The radar tells you where the leverage is.
- Re-simulate, don't re-read. A scorecard is a point-in-time measurement. The fix is rehearsing the format again — the score moves with reps, not with reading.
- Compare across a few runs. One scorecard is noise; the shape across three is signal. If depth is consistently the low axis, that's your real weakness. If it varies wildly, the issue is pressure, not knowledge.
The interview answer
"A scorecard is a diagnostic, not a verdict. I read the radar to find the weakest axis, check the recommendation band as calibration, and read each turn's notes before its number — notes tell me what the deduction actually was. Then I fix the bottom category first, re-simulate rather than re-read, and compare across runs to separate knowledge gaps from pressure issues."