> ## Documentation Index
> Fetch the complete documentation index at: https://support.bridgelabs.tech/llms.txt
> Use this file to discover all available pages before exploring further.

# Creating a Mock Interview in Bridge Labs

> Learn how to set up and run a mock interview sessio in Bridge Labs — ideal for career coaches, schools,bootcamps, and job seekers who want structured practce with real feedback.

Mock interviews in Bridge Labs let you run structured practice sessions that give candidates or students a realistic interview experience — complete with AI-generated feedback, scoring, and the ability to share results. This guide walks you through creating and configuring a mock session, from choosing your questions to reviewing responses.

## Who this is for

Mock interviews in Bridge Labs are used by:

* **Career coaches** running practice sessions for individual clients
* **Schools and universities** preparing students for recruiting season at cohort scale
* **Bootcamps and training programs** helping graduates prepare for job interviews
* **Staffing agencies** pre-qualifying candidates before client introductions

If you're a hiring team screening applicants, see [Creating and Launching a Video Interview](/guides/creating-an-interview) instead.

***

## Before you begin

Make sure you have an active Bridge Labs account. Career coaches and educators typically use the **Career Coach**, **School / University**, or **Bootcamp / Training** organization type — if you haven't set your organization type yet, you can update it in your account settings.

***

## Steps

<Steps>
  <Step title="Create a new interview">
    From your Bridge Labs dashboard, click **New Interview**. Give the session a clear name that identifies the role or skill area being practiced — for example, "Product Manager Mock Interview" or "Software Engineering — Behavioral Round."

    \[ SCREENSHOT: New Interview button on dashboard ]
  </Step>

  <Step title="Select your questions">
    Add questions the same way you would for a screening interview. You can:

    * Write your own questions tailored to the role or skill set
    * Use **AI Question Generation** to get suggestions based on a job title or competency area (see [AI Question Generation](/guides/ai-question-generation))
    * Reuse a saved template from a previous session (see [Creating and Managing Templates](/guides/creating-templates))

    For mock interviews, behavioral and situational questions tend to work best. Think about what the candidate will actually face in a real interview for their target role.

    \[ SCREENSHOT: Question builder with sample mock interview questions ]
  </Step>

  <Step title="Configure retake settings">
    Unlike screening interviews — where candidates typically get one attempt — mock interviews often benefit from allowing retakes so candidates can practice and improve.

    In the **Interview Settings** panel, enable **Allow Retakes** and set a limit (e.g., 3 attempts per question). This lets the candidate revisit answers they're not happy with.

    <Tip>
      If you want candidates to experience real interview conditions, leave retakes off for the first session and only enable them for deliberate practice rounds.
    </Tip>

    \[ SCREENSHOT: Retake settings toggle in Interview Settings ]
  </Step>

  <Step title="Set the scoring and feedback mode">
    In **Scoring Settings**, choose how you want responses evaluated:

    * **AI Score + Feedback** — Bridge AI scores each response and generates written feedback the candidate can read after submitting. This is the recommended setting for self-directed practice.
    * **Manual Review** — You review responses yourself and leave written feedback. Best for coached sessions where you want to provide personalized guidance.
    * **Both** — AI scores first, then you add your own comments on top. Useful for high-stakes preparation where you want a second layer of review.

    \[ SCREENSHOT: Scoring mode selector ]
  </Step>

  <Step title="Control result visibility">
    Decide whether candidates can see their scores and feedback immediately after submitting, or only after you've reviewed everything.

    In **Sharing Settings**, toggle **Release Results to Candidate** to:

    * **Immediately** — the candidate sees AI feedback as soon as they finish
    * **After coach review** — results are held until you manually release them

    For group cohort sessions, holding results until after review lets you give everyone feedback at the same time.

    \[ SCREENSHOT: Sharing settings with result release options ]
  </Step>

  <Step title="Share the mock interview link">
    Once your session is configured, click **Publish** to generate a shareable link. Send this link to your candidates, students, or clients.

    Recipients can complete the mock interview on any device — no account required. They record their video responses in their own time and submit when ready.

    <Info>
      Each mock interview session generates a unique link. If you're running the same practice session with multiple cohorts, duplicate the interview rather than reusing the same link — this keeps responses organized by group.
    </Info>

    \[ SCREENSHOT: Published interview link and share options ]
  </Step>
</Steps>

***

## Reviewing responses and giving feedback

Once candidates submit their responses, they appear in the **Candidates** tab of your interview. From there you can:

* Watch video recordings of each response
* Read AI-generated scores and feedback
* Add your own written comments per question
* Release results to the candidate when ready

For a full walkthrough of the review process, see [Reviewing and Evaluating Candidate Responses](/guides/reviewing-candidates).

***

## What happens next

After running a mock session, many coaches and educators use Bridge Labs to track progress over multiple rounds. Duplicate your interview to run the same set of questions again, then compare scores across attempts to measure improvement.

If you're working with a team or co-coaching with a colleague, see [Collaborating with Your Team](/guides/team-collaboration) to add reviewers to your sessions.
