More first-round screens are run by AI — async video, chat, or voice. What changes, what stays the same, and how to prepare for a screen with no human on the other side.
Structure matters more and rapport matters less. AI screens typically evaluate against a rubric: whether your answer contains the expected components, stays on the question, and fits the time box. Front-load your answer with the direct response, then support it — the buried-lede style that works with a patient human scores poorly against a rubric. You also can't read the room, so don't adjust mid-answer based on imagined reactions; finish your structure.
Practice answering to a camera with a hard time limit, because the skill being tested is concision under a clock, not conversation. Prepare 6-8 STAR stories that each fit in 90 seconds. Test your setup (light, mic, framing) before the real thing, and treat the first take seriously — many platforms limit retakes. Keep notes off-screen and glanceable; reading verbatim is obvious on camera.
Platforms differ, and vendors don't fully disclose their scoring — say so if asked. What is consistently reported: keyword and component coverage against the role's rubric, answer structure and relevance, and communication basics like pace and filler density. What you should NOT do is keyword-stuff; rubrics are paired with relevance checks, and a stuffed answer fails the human review that follows a passing screen.
Chat screens reward the writing skills the format exposes: a direct first sentence that answers the question, short paragraphs or bullets rather than a wall of text, and concrete nouns over adjectives. You usually have more thinking time than on video — use it to structure before typing, not to over-polish. Answer the question that was asked before adding context; chat rubrics penalize drift fast. If the bot supports follow-ups, expect it to probe one claim deeper, so only write things you can expand on. And check length expectations if stated — both one-line answers and essays typically score worse than a tight paragraph.
Slower and more clearly than feels natural, because your answer passes through speech recognition before any evaluation, and transcription errors become scoring errors. Pause briefly after the question — voice systems can clip your first words if you jump in. Use verbal signposting ('There are two parts to this. First...') since you have no visual channel; structure has to live in your words. Keep answers in the 60-90 second range unless told otherwise: without human back-channel cues ('mm-hm', a nod) it is easy to either trail off early or ramble long. If the system supports it, finishing with a clean closing sentence beats fading out.
State your interpretation explicitly and answer it: 'I'll interpret this as asking about X; if you meant Y, the short version is Z.' This is the skill move — it shows the judgment that clarifying questions normally demonstrate, and a human reviewer reading the transcript later sees you handled ambiguity deliberately rather than guessing silently. Choose the most common-sense reading, not the most exotic one. If the platform allows a brief clarification request, use it once, but do not stall waiting for a response the system cannot give. For estimate-style or scenario questions, name your assumptions up front the same way you would in a system-design round.
Read the rules before you start, because platforms differ and violations can void the attempt. Commonly enforced: staying in the assessment tab or a locked-down browser (tab switches are logged), webcam and screen recording, ID verification, and restrictions on external tools or a second device. Some coding platforms record keystroke timing and flag large pastes. The practical preparation: close everything else, silence notifications, be alone in the room, and if the rules are unclear about something you rely on — language documentation, for instance — ask the recruiter before the session, not after a flag. If an assessment permits AI assistance, that will be stated explicitly; assume it is not allowed unless it is.
Yes, and the earlier you ask, the better it goes. If you have a disability that the format disadvantages — a speech difference for voice analysis, a condition affecting on-camera performance — you can request an accommodation; in many jurisdictions (the US under the ADA, for example) employers are required to provide reasonable alternatives, and platforms typically have accommodation flows for this reason. Route the request through the recruiter, state what you need rather than a diagnosis, and put it in writing. If you simply prefer a human, you can ask — framed as a request, not a refusal — but be aware some pipelines treat declining the screen as withdrawing. A company's response to a reasonable request is itself useful data about the employer.
No disclosure that AI is doing the evaluating, no stated human review step behind the scores, and no channel to reach a person when something goes wrong are the big three. Others: no accommodation path, vague or absent data-handling terms for your video and voice, retake policies that punish technical failures, and questions with no plausible connection to the job. These matter for two reasons: several jurisdictions now regulate automated hiring decisions (disclosure and human-oversight requirements exist in the EU and parts of the US), and a sloppy screen is evidence about how the company treats people. You can proceed anyway with eyes open — but it is legitimate to ask the recruiter how the screen is scored and who reviews it.
Follow up with the humans around the process: the recruiter or coordinator who sent the invitation. Confirm your submission went through — technical failures are common enough with recorded screens that a same-day 'completed the assessment, flagging in case anything failed to upload' note is worth sending. Then ask about timeline and next steps as you would after any round. If something went wrong mid-screen (crash, upload failure, misheard audio), report it immediately and ask for a retake before results are processed, not after a rejection. Skip the thank-you-note theater — there is nobody to thank — but do log your answers from memory while fresh; later rounds often revisit the same stories.
The substance. An AI screen is still scoring whether you can communicate a relevant, specific, well-structured answer — the same thing a human first-round screens for, which is why preparation transfers almost entirely: STAR stories with real details, knowing the job description well enough to map your experience onto it, and practicing out loud. Honesty also transfers: transcripts and recordings are reviewed by humans downstream, so anything embellished in round one becomes a contradiction in round three. Treat the AI screen as the top of the same funnel, not a different game — candidates who over-optimize for 'beating the algorithm' usually just produce worse answers.