Run your Technical Interview

Run your technical interview inside Qube

Open the problem. Work through it together. Qube brings the candidate, interviewer, and shared computer into one cloud room, so the discussion stays connected to the work being done.

Qube · Content reviewed

Bring the material the meeting needs

  • A bounded repository or debugging task
  • Sample data and the documentation candidates may use
  • A clear policy on permitted AI and other assistance

From preparation to review

  1. Before the session

    Prepare an exercise that can be completed in the agreed time. Test the tools and joining devices. Tell the candidate which assistance is allowed, how the session is observed, and whether it will be recorded.

  2. Inside the room

    Work in the shared environment. Ask the candidate to investigate a failure, explain a tradeoff, or revise an approach as requirements change. Keep the conversation connected to the actions inside the room.

  3. After the meeting

    Review the result alongside the authorized session record when recording is enabled. Apply the same role-specific criteria to the reasoning, testing, and communication. Follow the agreed retention policy.

Give the candidate something worth investigating

A small service with a failing test can reveal how someone forms a hypothesis, checks it, and recovers when it is wrong. A design change can reveal how they interpret requirements. Choose the task for the role rather than relying on a polished final answer.

The shared cloud computer gives both sides a place to inspect the same state. Bring only the code and data needed for the exercise. Use prepared material instead of exposing a production repository or live customer credentials.

Make the assistance policy visible

Some teams assess work with approved AI tools. Others need an unaided exercise. Explain that choice before the candidate joins, and design the follow-up questions around the skill you intend to evaluate.

Qube’s cloud workspace changes where the work executes. Supported presentation controls can reduce exposure through some local capture paths. Neither the workspace nor an activity record proves that the candidate has no external help. Human review remains essential.

Questions before the meeting

Can Qube help with hidden AI interview assistance?

Qube provides a cloud working environment and supported presentation controls that can be evaluated against local-capture risks. The result depends on the actual client and policy. Read the AI interview-security guide and coverage page rather than assuming every capture path is blocked.

Can candidates use approved AI during the exercise?

Your team should define the policy and confirm the permitted tools in the workspace before the session. Evaluate how the candidate checks and uses assistance when it is allowed. No automatic judgment of hiring fitness is implied.

Is this the same as a final-round panel?

This page focuses on live technical problem-solving. A final round may instead center on a presentation, role-specific discussion, and follow-up from several interviewers. Qube has a separate workflow guide for that session.

Understand the protection you will use

Qube runs the shared work in a trusted cloud session. Protection of the delivered view and audio depends on the client and policy. Check the intended devices, physical-capture risks, and authorized recording arrangements before sensitive work.

Read the protection coverage and retention policy. Destruction of the temporary workspace is separate from retention of an authorized meeting record.

Bring your workflow into Qube

Walk through the room, the shared tools, and the participant devices with us. Agree on the protection and review settings before you use it for sensitive work.

Book a demo