Skip to main content
Atlas Hire
Interview readiness for every cohort

Every student
gets the prep
a few used to get.

Give your whole cohort realistic, AI-era interview practice, and give career services and instructors a clear, privacy-safe read on how the class is doing, skill by skill and week by week.

Your north star

The interview the market now runs, practiced by every student.

Round formats
5
Staff roles
3
Students per reported group
5+
Built for
  • Career centers
  • Instructors
  • Bootcamps
Practice that probes

Every student gets an interviewer that asks the follow-up.

Students answer out loud while an AI interviewer listens, transcribes, and pushes on the weak spot: the same pressure they'll meet in a real loop, available to the whole cohort and not just the few who book a mock.

Student session · BehavioralCohort: CS-401 Spring
Thinking time4-second window
Student answer · transcribed live
Speaker: student
“In my capstone our API kept timing out the night before the demo, so I moved the slow report into a background job and we shipped on time.”
Where the interviewer may go nextPick one to see what it tests
STAR coverageSituation(covered)Task(covered)Action(covered)Result(not yet covered)
Signals so far+ STAR structure+ Communication
Report: Student first

Illustrative session

The career-prep shift

Prepare students for the interview they'll actually get

Employers now interview with AI in the room. Career prep built on puzzle clubs and the occasional mock can't keep pace.

Mock interviews for a fewYesterday's career prep

Prep that doesn't scale

A handful of mock interviews for the students who book them, LeetCode clubs for the rest, and no shared picture of who's ready.

Coaching reaches the students who ask, not the ones who need it.
Readiness you can measureAtlas for education

Practice for every student

Every student runs realistic interviews with AI in the loop, and staff see cohort analytics by skill, format, and week, so coaching goes where the class needs it.

Aggregate analytics with small groups hidden to protect student privacy.
How programs run it

The roadmap

Three steps from syllabus to signal.

  1. Roll out

    Step 1: Invite the cohort

    Staff set up cohorts and invite students, who claim their seat and start practicing technical, system design, code review, behavioral, and presentation rounds, with a real IDE and an AI assistant for the hands-on ones.

    • Cohorts & rosters
    • Student invites
    • Admin · instructor · career center
    capstone/api/reports.ts · TypeScript
    AI assistant connected
    // Task: the reports endpoint times out under loadexport async function getReport(id: string) {const cached = await cache.get(id);if (cached) return cached;return buildReport(id); // slow path}
    Student asked:“Why is this endpoint slow when the cache is cold?”
    Student investigating…
  2. Coach from evidence

    Step 2: Feedback every student can use

    Each session ends with a structured report for the student: scores on the skills that round tests and the key moments behind them. Advisors see an individual report only when the student consents.

    • Strengths and gaps for every session
    • Individual results shared by consent
    Session report · BehavioralStudent view
    1. Clear situation

      Set up the capstone deadline and the stakes in two sentences.

    2. Strong action

      Explained moving the slow report into a background job.

    3. Missing result

      No measurable outcome. Practice closing with the impact.

  3. Measure the cohort

    Step 3: See the whole class

    Cohort analytics show average scores by skill, format, and week, so you can spot a class-wide gap early and fold it into next week's session. Groups under five students stay hidden.

    Aggregate by default. No student is singled out.

    Average score by skillCS-401 · Spring
    • Communication74
    • STAR structure71
    • Problem decomposition68
    • Testing & debugging61
    Weekly average
    1. 58Wk 1
    2. 63Wk 2
    3. Hidden: fewer than five studentsWk 3
    4. 67Wk 4
    5. 70Wk 5
    6. 72Wk 6

    Weeks with fewer than 5 students are suppressed. Illustrative data.

Cohort skill profile

Cohort readiness, not just individual grades

The skills employers score, averaged across the class, so instructors and career services can see where the cohort stands and where to coach next.

Skill radar: Communication 74, STAR structure 71, Decomposition 68, Testing 61CommunicationSTARstructureDecompositionTesting
Cohort profile · CS-401 Spring

Class averages per skill. Center = not demonstrated, outer ring = exceptional.

  1. Communication: Strong evidence
  2. STAR structure: Strong evidence
  3. Problem decomposition: Developing
  4. Testing & debugging: Developing
  5. Correctness: Strong evidence
  6. Architecture: Not yet tested
  7. Scalability & tradeoffs: Not yet tested
  8. Conflict handling: Not yet tested

5/8 skills assessed • 3 untested

  • Strong evidence
  • Developing
  • Not yet tested
Cohort cards · flip for the teaching notesIllustrative cohort

FAQ

Questions we get asked

What is AtlasHire?
AtlasHire is an interview platform that runs structured technical and behavioral interviews and scores them on consistent, evidence-backed criteria. It exists so the outcome of an interview depends on how the candidate actually performed rather than on who happened to be in the room.
How does AtlasHire score a candidate?
Every session is scored on AI Judgment, Prompt & Tool Craft, and AI-Assisted Velocity — the same three axes for every candidate. Scores are backed by what actually happened in the session — the work produced and the decisions made — rather than an interviewer's overall impression.
What kinds of interview rounds does AtlasHire support?
Coding, take-home, system design, code review, and behavioral rounds, all in one workspace.
Does AtlasHire make hiring decisions?
No. AtlasHire is a decision-support tool. It produces structured evidence and scores; the hiring decision, and responsibility for lawful and fair use, stays with the hiring team. This is stated in the Terms of Service.
How does AtlasHire use AI, and what happens to my data?
AtlasHire uses AI to run and score interviews. How it does that, what data is involved, and how long it is kept are set out in the Data & AI Use Policy at https://atlashire.ai/ai-data-use and the Privacy Policy at https://atlashire.ai/privacy.
How does AtlasHire work for a university or bootcamp?
Institutions run interview practice and readiness scoring across a whole cohort, so every student gets the preparation that previously only a well-connected few received. Staff see readiness across the cohort rather than student by student.
Bring it to your program

Prepare every cohort for the AI-era interview.

Book a demo to see it end to end, or claim your seat if your school already uses AtlasHire.

Claim your invite
  • • Roles for admins, instructors & career centers
  • • Aggregate analytics hide groups under 5