What are the 7 ChatGPT prompts for HireVue practice?
Yes: start with question prediction and STAR drilling. Prompt 1 for ChatGPT: Act as a recruiter building a HireVue for a [role] at [company]. Use this job description and my resume. Give me 12 likely behavioral and situational questions, rank them by probability, and explain what evidence from my background each question is trying to test. Prompt 2: Run star method practice with me. Ask one behavioral question at a time, wait for my answer, then score Situation, Task, Action, and Result separately from 1-5. Rewrite weak parts without changing facts. These two prompts fix the biggest problem in HireVue prep: most people practice answers, not questions.
Next, train for camera length and follow-ups. Prompt 3: Turn my answer into a 60-90 second video interview answer that sounds direct, conversational, and specific. Keep numbers, tools, and outcomes. Cut filler and corporate language. Prompt 4: Be a skeptical interviewer. After every answer, ask the hardest follow-up a hiring manager would ask if they doubted me. Force me to defend trade-offs, decisions, and results. This matters because a strong HireVue answer is usually short, evidence-heavy, and easy to retell under pressure. If you need a shortcut, tell ChatGPT to reject any sentence that could not be backed up by something on your CV or LinkedIn.
Then add delivery and scoring. Prompt 5: Judge this answer like a structured interview rubric. Score relevance, clarity, specificity, ownership, and business impact from 1-10, then tell me the three edits that would raise the score fastest. Prompt 6: Act as my camera coach. Flag where I sound memorized, evasive, too long, too vague, or low-energy. Suggest a tighter opening line and a stronger closing line. Most advice tells you to smile more. That is shallow. Structured platforms reward clear evidence, not TED Talk energy. Good lighting helps; better proof helps more.
Use the seventh prompt as the full chatgpt interview simulator. Prompt 7: Run a complete HireVue practice session with 8 questions. Mix tell me about yourself, motivation, behavioral, conflict, failure, and role-specific scenarios. Give me 30 seconds to think before each answer, then critique me like a recruiter deciding who moves forward. End with a pass or fail recommendation and the three stories I should keep practicing. Run this prompt three times, not once. The second round exposes weak stories. The third round shows whether you are improving or just memorizing. If your resume is fuzzy, run it through HRLens CV analysis before you rehearse so the model trains on your actual evidence.
How do you adapt these prompts for Claude, Gemini, Copilot, Perplexity, Grok, Meta AI, DeepSeek, and Le Chat?
Yes, the prompt pack transfers well across major models, but each one needs a small tweak. If you are using ChatGPT in May 2026, treat old GPT-4o and early GPT-5 advice as legacy naming; ChatGPT retired those labels on February 13, 2026, yet the same recruiter, STAR coach, and red-team prompts still work in current GPT-5.x chat modes. The winning move is to tell every model exactly what role it should play, what inputs it should use, how long the answer should be, and how harshly it should score you. Vague prompts create vague coaching.
ChatGPT is still the easiest place to run full mock interviews because it handles turn-by-turn simulation cleanly. Claude Sonnet and Opus tend to be excellent for story shaping, especially when your answers sound flat or over-engineered; ask Claude to preserve your facts and improve narrative flow. Gemini is strong when you want company-context prep, product familiarity, and question variations tied to a specific employer. For Gemini, prompt it to cross-check your examples against the role's core competencies, then rewrite each answer in plain spoken English. That is how you get useful video interview answers instead of polished sludge.
Copilot works well when your prep lives in Word, Outlook, or a Microsoft-heavy workflow. Feed it your resume, job description, and achievement bullets, then ask for a structured practice set you can paste straight into notes. Perplexity is the best research wingman before you practice: use it to pull the company's latest product launches, leadership messaging, and hiring language, then move those facts into your mock answers. Grok and Meta AI are useful for fast rewrites and sharper hooks, but do not let either one add attitude that does not sound like you. Interview prep is not the place to cosplay a founder on X.
DeepSeek and Mistral Le Chat are great as low-drama red-team editors. Ask them to compress answers, remove buzzwords, and flag any claim that feels inflated, unsupported, or too polished to be believable on camera. A simple model-specific tag helps: Claude for empathy, Gemini for context, Perplexity for research, Copilot for document cleanup, DeepSeek or Le Chat for ruthless trimming. You do not need nine perfect prompt libraries. You need one core prompt, one research pass, and one brutal critique pass. That is the setup people actually reuse.
What does HireVue actually reward in video interview answers?
HireVue-style interviews reward structured, relevant, specific answers far more than performance tricks. The platform's own candidate guidance emphasizes practice questions, concise responses, and STAR-style behavioral stories, which tells you what matters: clear evidence, direct relevance, and controlled length. Most candidates obsess over whether they looked nervous. Recruiters care more about whether you answered the question, showed ownership, and connected your example to the job. A slightly stiff answer with real proof beats a charismatic ramble every time.
In on-demand interviews, you are usually responding to a fixed set of prompts on your own time, and companies often ask every candidate the same core questions for consistency. That changes how you should practice. Do not rehearse a hundred generic answers. Build five or six reusable stories: a win, a conflict, a failure, a change moment, a prioritization example, and a leadership example. Then learn to retell each one in 60 to 90 seconds with a clean Result. The same story bank works across HireVue, Sapia, and most structured video or chat interviews.
The contrarian take: stop treating HireVue like an acting audition. Strong eye contact, clean audio, and a calm setup matter, but they will not rescue a thin example. If AI scoring enters the process, the safest assumption is that the content of your answer is what carries you forward, not your background blur or the angle of your webcam. So prep the proof. Name the problem, your action, the tool or method you used, and the measurable outcome. If you cannot say what changed because of you, the answer is not ready.
Which HireVue practice prompts should you stop using?
Stop using prompts that ask for the perfect answer. They create fake confidence and terrible interviews. When you tell a model, write the best answer to why should we hire you, it gives you a polished speech that no normal person can deliver naturally under time pressure. The result is the exact tone recruiters hate in one-way interviews: smooth, generic, and slightly unreal. Good hirevue practice prompts do not write a persona for you. They pressure-test your real examples.
Three prompt styles fail over and over. First, generic prompts with no resume or job description. Second, resume inflation prompts that quietly invent ownership, scale, or numbers you never had. Third, therapy prompts that spend ten paragraphs boosting your confidence but never fixing weak answers. Replace them with hard-edged instructions: use only facts from this resume, challenge vague claims, force concrete metrics, and cut any sentence I would not say out loud. That is how you get a useful chatgpt interview simulator instead of a compliment machine.
Here is the before and after. Bad prompt: Make me sound impressive for a HireVue interview. Better prompt: Rewrite this answer for a customer success manager role at HubSpot. Keep it under 75 seconds, preserve my exact facts, add one metric if it is already in my resume, and tell me which sentence still sounds fake. That one tweak changes everything. You are no longer asking the model to perform magic. You are asking it to edit for believability, which is exactly what interview prep should do.
How do you build a full ChatGPT interview simulator from your resume?
Build the simulator from your actual resume, the job description, and a shortlist of stories you can prove. Start by pasting the role description, your resume, and three to five achievements you definitely own. Then tell the model to map likely interview questions to those achievements, identify evidence gaps, and refuse to invent missing details. This is where most people get in trouble: they let the AI write a better candidate than the one showing up on camera. Do not. Practice the version of you that can survive a follow-up.
A reliable workflow looks like this. First, tighten the CV so the evidence is clean and measurable. If your bullet points are vague, the model will rehearse vague answers back at you; using HRLens CV builder or your own edits to sharpen impact before practice makes every prompt better. Second, generate question clusters by competency: problem solving, teamwork, conflict, leadership, customer focus. Third, run live drills where the model interrupts you, asks follow-ups, and scores relevance. Fourth, rewrite only the openings and endings, not the whole story.
Use this framework verbatim: Role, Evidence, Constraint, Outcome, Reflection. Role is the position you are targeting. Evidence is the story from your resume. Constraint is the pressure point, like a deadline, stakeholder conflict, or missing data. Outcome is the result with numbers if you have them. Reflection is what you would do differently now. That five-part skeleton works across ChatGPT, Claude, Gemini, Copilot, Perplexity, Grok, Meta AI, DeepSeek, and Le Chat because it gives the model structure without turning your answer into a script. It is simple enough to remember when the camera turns on.
What should you do in the last 30 minutes before HireVue?
In the last 30 minutes, do not cram new stories. Tighten delivery, test your setup, and rehearse your first sentence. Spend 10 minutes reviewing the job description and highlighting the three traits the employer keeps repeating. Spend 10 minutes running two timed answers: tell me about yourself and a behavioral story with a measurable result. Spend the final 10 minutes checking camera height, audio, lighting, login details, and your notes. Last-minute prep works best when it reduces noise, not when it creates more content in your head.
Keep one small note sheet beside your screen. Write three numbers, three tools, and three results you want to remember, plus a seven-word reminder like Slow down and answer the actual question. That beats a page of scripted lines. If the platform gives you practice tries, use them to settle your pace and energy, not to chase perfection. You are aiming for clear and credible. A tiny pause before you speak sounds thoughtful on camera. A rehearsed monologue sounds brittle. There is a big difference.
If you only steal one idea from this article, make it this: practice with a model that fights back. Friendly AI coaching feels nice and produces forgettable answers. Hard prompts expose waffle, fake confidence, and missing evidence before a recruiter does. Run one research pass, one mock interview pass, and one brutal critique pass. Then stop. The candidate who records on time with six believable stories usually beats the candidate who spent all night polishing one perfect answer that does not sound human.