Website review
This review may include AI-generated content and is not individually verified. Domain, certificate and other facts come from the observed data on this page.
What is Interviews Chat?
Interviews Chat is an AI interview assistant: a copilot that gives real-time suggestions and live transcription during an interview, plus a prep mode for practicing beforehand. The product is built around the moment of the interview itself rather than around a question bank, which is what distinguishes it from most interview-prep tools.
What it does during an interview
The copilot listens and transcribes the conversation, then suggests answers in whichever format fits the question. The site names five formats:
- A comprehensive, detailed answer
- A bulleted list of key points to structure your own reply
- A brief answer for interviewers who prefer short responses
- A STAR-structured answer for behavioral questions
- Follow-up questions to ask the interviewer
It also covers different interview settings. A Chrome extension can attach to a browser tab containing a coding challenge or whiteboard task and generate a solution with reasoning, and the assistant is pitched as usable on phone screens or as a fallback when a video call requires screen sharing. The site claims sub-one-second response latency and parallel suggestions across multiple AI models, with a caveat that speed depends on the chosen model and network.
Who it suits, and the trade-off
The clearest fit is a candidate facing live technical or behavioral screening who wants structured prompts in the moment — for example, someone whose mind goes blank on "tell me about a conflict" and who benefits from seeing a STAR skeleton while speaking.
The trade-off is that this is a live crutch, not a skill-builder. Reading generated answers aloud can sound stilted, and relying on it in an interview where the employer prohibits assistance carries obvious risk. Candidates who mainly need to deepen their knowledge are usually better served by practice-first resources such as Pramp for peer mock interviews or interviewing.io for realistic technical practice; Interviews Chat's prep mode is the part to use if you want to build fluency before the call.
Next step
Before committing, run one mock behavioral interview and one mock coding task using the copilot, and judge two things: whether the bullet and STAR outputs are specific enough to speak from naturally, and whether the latency holds on your connection. If the suggestions read like generic templates, the tool is adding noise rather than support.
How does the real-time interview copilot work during a live video call?
During a live video call, Interviews Chat's Interview Copilot listens to the conversation, transcribes it in real time, and pushes suggested answers to you as the interviewer speaks. According to the site, it produces near-instant suggestions (under one second, with the caveat that speed depends on the chosen AI model and network) alongside a running transcript of the whole session. You can request different response shapes on the fly: a full detailed answer, a bulleted list of key points, a short to-the-point reply, a STAR-structured answer for behavioral questions, or suggested follow-up questions to ask the interviewer. The Chrome extension can also attach to a browser tab running a whiteboard or coding task and generate a solution with reasoning, and the same assistant is pitched as a fallback for phone screens or when screen sharing is required.
What that looks like in practice
Take a candidate in a 45-minute behavioral-plus-technical loop. On a "tell me about a conflict" question, they glance at a STAR draft, adapt it with their own specifics, and speak naturally rather than reading. On a coding prompt in a shared tab, the extension drafts an approach with reasoning they can then explain and adjust. When the interviewer asks "any questions for us?", the follow-up suggestions give them something concrete instead of a generic closer.
Trade-offs to weigh
- Speed vs. judgment. Sub-second suggestions are only useful if you can skim, filter, and paraphrase. Reading a generated answer verbatim is usually obvious and can hurt more than silence.
- Dual responses across models. Parallel suggestions from multiple models give you options, but comparing them mid-sentence adds cognitive load. Pick one model's output as your default.
- Transcript as a safety net. The full transcript is arguably the most durable feature—useful for reviewing what you actually said afterward, and for recovering if you lose the thread.
- Assessment use. Tab-connected coding help is the most sensitive use case; check the rules of the specific assessment or employer before relying on it, since many prohibit assistance.
A practical next step: before a real interview, run one mock call and practice the "glance, paraphrase, speak" loop with your preferred response format, so the tool supports your delivery rather than replacing it. For broader interview preparation outside live calls, general practice resources such as interviewing.io or Pramp can complement rehearsal.
Can the Chrome extension solve coding challenges or whiteboard tasks in online assessments?
Yes. According to the site, the Chrome extension is specifically built for online assessments: it can connect to a browser tab containing a task such as a whiteboard or a coding challenge and generate a solution with detailed reasoning. So it is aimed at exactly the scenario you describe, not just spoken interview questions.
How it fits different assessment formats
| Situation | What the site says it does | Practical consideration |
|---|---|---|
| Coding challenge in a browser tab | Extension connects to the tab and produces a solution with reasoning | You still need to read, verify and adapt the reasoning; a generated solution can be subtly wrong |
| Whiteboard-style task | Same tab-connection approach, with a generated solution | Explaining your approach aloud usually matters as much as the final answer |
| Live video interview | Real-time suggestions and live transcription, with formats like STAR, bullet points and short answers | Better suited to behavioral and conceptual questions than hands-on coding |
| Phone screen | Works as a fallback when screen sharing is required | Less visual context, so answers depend more on what is said |
The site also mentions near-instant suggestions (under one second, with performance varying by model and network), parallel suggestions across several AI models, and a full meeting transcript. For a reader weighing this up: the tab-connection feature is the relevant one for assessments, while the response-format options (STAR, bullets, brief answers, follow-up questions) are more useful for spoken interviews.
A sensible next step is to check the assessment rules for the specific employer or platform before relying on any assistant, since many online assessments explicitly prohibit outside help. If you want to compare approaches, general interview-prep guidance is also available from InterviewBuddy and Big Interview.
How do I choose between the different AI models for different interview types?
Choose based on what the answer must do under time pressure, not on which model is "best" overall. Interviews Chat lets you pick among several leading AI models and even run parallel suggestions, so the practical approach is to match model strengths to interview format and keep a fast, reliable default.
A practical way to decide
- Behavioral and HR screens: favor a model that produces well-structured prose, since you want STAR-format answers with clean narrative flow. The copilot's STAR and comprehensive formats matter more here than raw speed.
- Coding and whiteboard assessments: favor a model that reasons step by step and explains its logic, because the Chrome extension generates solutions with detailed reasoning you'll need to defend aloud. A slower, more careful model is usually the better trade-off.
- Rapid-fire technical Q&A: favor low-latency responses and the short bulleted format. The site cites under-one-second latency, but notes performance varies with the model you select and your network, so test your choice on your own connection beforehand.
- Phone screens or fallback situations: prioritize reliability and concise output over depth; a brief, to-the-point answer is easier to absorb when you can't see a screen clearly.
A comparison to guide the trade-off
| Interview type | What matters most | Format to pair with it |
|---|---|---|
| Behavioral / HR | Structured, natural-sounding answers | STAR or comprehensive |
| Coding / online assessment | Step-by-step reasoning | Comprehensive with reasoning |
| Fast technical Q&A | Speed and brevity | Short or bulleted |
| Phone screen | Dependability, low cognitive load | Short |
A concrete next step: run two mock sessions on the same platform—one with your fast default model and one with a reasoning-focused model—on a behavioral question and a coding task. Note which output you could actually deliver aloud without stumbling, and set that as your default per interview type. If the tool supports dual responses, keep a fast model as the primary and a stronger reasoning model as the secondary so you can compare live.
For broader interview-preparation practice alongside the copilot, general resources such as interviewing.io or Pramp can help you rehearse the human side, which no model choice replaces.
What response formats like STAR or bullet points can I get, and when should I use each?
Interviews Chat lists five response formats for its Interview Copilot, each aimed at a different kind of interview moment:
- Comprehensive answer — a detailed, thorough response for questions that need depth (system design, "walk me through a project," complex technical explanations).
- Bulleted list — key points to hit, useful when you want structure and a reminder of what to cover rather than a script to read.
- Brief, to-the-point answer — for interviewers who prefer short answers, or quick screening questions where a long reply would work against you.
- STAR method — situation, task, action, result, for behavioral questions ("tell me about a conflict," "describe a failure").
- Follow-up questions to ask the interviewer — to show engagement when the conversation turns to you.
When to use each
| Format | Best moment | Trade-off |
|---|---|---|
| Comprehensive | Technical depth, project deep-dives | Long; easy to sound like you're reading |
| Bulleted list | Multi-part questions, structuring an answer live | Gives cues, not full sentences |
| Brief | Phone screens, rapid-fire or time-pressured questions | Can undersell the depth of your experience |
| STAR | Behavioral and competency questions | Rigid if the question isn't really behavioral |
| Follow-up questions | End of interview, "anything for us?" | Only useful if genuinely relevant to the role |
A practical approach: default to STAR for behavioral questions and bulleted points for technical ones, then switch to brief if the interviewer's style is clipped or time is short. The follow-up format is best saved for the closing minutes rather than mid-interview.
The page also describes a Chrome extension for online assessments that can connect to a browser tab with a task, such as a whiteboard or coding challenge, and generate a solution with detailed reasoning—a separate use case from conversational formats. It states response latency under one second, with a caveat that performance varies by selected AI model and network conditions. Whether that speed holds up in your own setup is worth testing before a real interview, for example by running a mock behavioral question and a mock coding task and seeing which format you actually reach for under pressure.
How can I use the AI interview prep feature to practice before a real interview?
Use the Interview Prep section as a rehearsal tool, not just a question bank: it analyzes your background and generates practice questions, then you answer them aloud and compare your response with the suggested structure. The Copilot's response formats are the most practical part to train with. Before a real interview, pick one format per question type and practice matching it:
| Format | Best for | What to practice |
|---|---|---|
| STAR response | Behavioral questions ("tell me about a conflict") | A tight situation–task–action–result arc under two minutes |
| Bullet points | "Walk me through your experience" or multi-part questions | Choosing three or four key points instead of rambling |
| Comprehensive | Technical or case questions where depth matters | Explaining reasoning step by step |
| Brief | Screener calls and rapid-fire rounds | Answering in one or two sentences, then stopping |
| Follow-up questions | The end of the interview | Two or three questions tailored to the role |
A concrete routine: run a mock session with five behavioral and three technical questions drawn from the job description, answer each in the format you'd actually use, then review the transcript for filler words, missing results in STAR answers, and answers that ran long. Page evidence says Interview Copilot produces a real-time transcript of the entire conversation, so treat the transcript as your feedback loop—reread it and rewrite weak answers rather than judging only by how you felt.
Two trade-offs to weigh. First, the Copilot is built for live use, with sub-second suggestions and parallel responses across models, and the page notes performance varies with the selected model and network. Practicing with instant suggestions can build dependence, so do at least one full mock without any assistance to confirm you can answer unaided. Second, the Chrome extension is designed for online assessments such as coding challenges and whiteboards; using it to generate solutions during a real assessment may breach the employer's rules, so reserve it for practice. For structured question sets and company-specific guides, Interview Prep and Glassdoor interview reports can supplement the AI-generated questions.
Next step: write down the ten questions you're most worried about, assign each a format from the table, and rehearse them in two passes—one with Copilot suggestions visible, one without.
User reviews (0)