Get every cohort placement-ready before demo day.
WorkZo AI runs realistic, CV-aware interviews for each student across technical screens, HR calls, and hiring-partner conversations, so weak answers surface in practice, not in front of the employers you've worked hard to line up.
For bootcamp career teams, instructors, and placement leads
Recruiter
Your CV lists a capstone using React and a Node API. Walk me through one technical decision you owned and why.
Candidate
I chose optimistic UI updates for the cart because the API round-trip was slow, then reconciled on failure…
1 CV
drives the whole interview, with no generic question banks
5-cat
scoring: communication, relevance, experience, evidence, job fit
Report
career teams can coach from in minutes
What slows placement down
- Mock interviews don't scale: one instructor can't sit with forty students before every hiring day.
- Students freeze on the same things every cohort: unclear STAR structure, no metrics, and shaky answers on projects they actually built.
- By the time an employer partner spots the gap, the placement (and the relationship) is already at risk.
How WorkZo changes it
- Every student gets unlimited realistic practice built from their own CV and a target job description.
- Recruiter personas cover the full loop: friendly HR screen, analytical technical lead, and business-focused hiring manager.
- Career teams get a shared report per student, so coaching time goes to the people who need it most.
Built on the same interview engine every WorkZo user runs
Tuned for coding bootcamps, driven by the job description, not a generic question bank.
Technical screens that reference real code
Questions come from the student's own projects and stack, so they practice defending decisions they actually made, rather than trivia.
Live code workspace
For engineering roles, students can work through a problem in an in-browser editor while the recruiter persona probes their reasoning.
STAR coaching with evidence
The report quotes the student's own answers back to them and shows exactly where structure, ownership, or metrics were missing.
Placement-ready signal
A clear readiness score tells you who's ready for a hiring partner and who needs one more session before you make the intro.
Three steps, inside your program
Add the target role
Upload the student CV and paste the job description for the placement they're aiming at. WorkZo builds the interview around the JD, not the resume.
Run the interview
The student completes a realistic voice or text interview with a recruiter persona matched to the role and company style.
Coach from the report
You and the student review the scored breakdown, weakest moments, and a focused improvement plan before the real interview.
Questions we hear
Does it only work for software roles?+
Can instructors see how students are doing?+
How realistic are the technical questions?+
What does a pilot look like?+
Bring WorkZo AI to your coding bootcamps
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Ready to prepare your coding bootcamps cohort?
Tell us your group size, target roles, and timeline. We'll help you shape a practical pilot before a full rollout.