Most advice on video interviews is about posture and lighting. If the round you're facing is actually scored by AI, the things it's measuring are narrower and more specific than general presentation tips, and worth understanding on their own terms.

Pacing and clarity carry real weight

AI video scoring systems typically analyze tone, pace, filler words, and clarity as part of how they read your answers. Speaking too fast is commonly read as a sign of nerves, while speaking too slowly can read as uncertainty or a lack of preparation, so a steady, moderate pace with clear pauses between points tends to score better than either extreme. Filler words like "um" and "so" in heavy quantities are picked up directly, since the system is transcribing your speech to evaluate content. The practical fix isn't to memorize a script, it's to practice answering out loud enough times that a moderate pace with natural pauses becomes your default under pressure, not something you have to consciously manage.

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Eye contact is judged differently than you think

Candidates often assume they need to stare directly at the camera without breaking gaze, worried that looking away reads as dishonesty or distraction. In practice, natural, intermittent eye contact, including brief glances away while you think through an answer, reads as normal human behavior rather than a red flag. Systems that do assess facial cues generally look for engagement over time, not a fixed unbroken stare, and several major vendors have scaled back or dropped facial-expression scoring altogether in recent years. Treat the camera lens the way you'd treat a person's eyes in a real conversation: mostly present, not rigid.

Where these systems get it wrong

These tools have real limitations worth knowing about. Accents, second-language speech patterns, and some speech disorders can push paralinguistic scores in the wrong direction even when the actual answer is strong, since the system is reading surface features of speech alongside content. If English isn't your first language or you have a distinct regional accent, that's a known weak point in these systems, not a reflection of your answer quality. Focusing on clear, moderately paced delivery and well-structured content is the most reliable way to work with the system's limits rather than against them.

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Frequently asked questions

Does AI video scoring still judge my facial expressions?
Less than it used to. Several major vendors, including HireVue, dropped facial-expression scoring years ago, shifting weight toward speech content, clarity, and pacing instead of reading your face.
Is talking fast a problem in an AI-scored interview?
It can be. Speaking too fast is often read as a sign of nerves, while speaking too slowly can read as uncertainty, so a steady, moderate pace with clear pauses between points tends to score better than either extreme.
Do I need to stare directly at the camera the whole time?
No. Natural, intermittent eye contact with brief glances away while thinking reads as normal human behavior. Constant, unblinking eye contact can come across as stiff rather than confident.
Can accents or a second language hurt my AI interview score?
They can, unfairly. Accents, second-language speech patterns, and some speech disorders can lower scores on paralinguistic features even when the underlying answer is strong, which is a known limitation of these systems.