Purpose

Use this article to set up AI interviews (profile screening, coding, and functional) so you can interview and screen candidates directly from your Talent Acquisition pipeline using AI Interviewer.

Audience

Recruiters, Schedulers, Hiring managers

Before you begin

Before using this guide, ensure that your Admin has:

• Enabled AI Interviewer in Admin Console > Home > Product Setup > AI Agents
• Enabled the interview types you plan to use under AI agents setup > Interview types, for example:
  • Profile screening
  • Functional / competency-based interviews
  • Coding interviews
• (Optional) Enabled:
  • AI interview score (for profile screening)
  • AI coding interview scoring
  • Language proficiency evaluation (for supported profile screening interviews)
  • Identity verification and pre-join health checks for AI interviews

Schedule an AI interview

You always start from the pipeline or candidate profile, then configure the interview in the Interview with AI window.

Step 1 – Open Interview with AI

1. Go to your pipeline
   • Open the candidate pipeline for the position.
2. Find the Interview with AI button (any of these):
   • Hover action – Hover over a candidate row; Interview with AI appears as a quick action.
     
   • Bulk selection – Select one or more candidates; Interview with AI appears above the table.
     
   • Candidate profile – Open the candidate’s profile and click Interview with AI.
3. Open the configuration window
   • Click Interview with AI.
   • The AI Interview setup window opens.

Step 2 – Select interview type

In Interview type, select the type of AI interview you want to run:

• Profile screening
  • Default option for general screening.
  • Uses a feedback form plus job and candidate data to generate questions.
• Coding interview
  • Uses coding templates and an in-browser code editor.
  • Best for technical roles that require coding skills.
• Functional interview
  • Uses competency-based templates (for example, problem solving, communication, leadership).
  • Best for structured behavioral or functional rounds.

The options you see depend on which interview types you have enabled.

Step 3 – Generate interview questions from (Profile screening)

For Profile screening interviews, use Generate interview questions from to control how the AI builds its question set.

• Feedback form, job description, and resume
  • AI uses the feedback form, the position’s job description, and the candidate’s resume together.
  • Best when you want highly personalized questions per candidate, guided by your evaluation criteria.
• Feedback form only
  • AI asks questions only from the selected feedback form.
  • Best when you want a standardized, repeatable set of questions across all candidates.

Additional configuration in the setup

Before you add extra guidance, you may also see these settings (depending on the interview type):

• Reviewer: Select the user who’ll be responsible for reviewing and submitting the AI interview feedback (for example, a hiring manager instead of the scheduler). By default, the scheduler of the interview is the reviewer.
• AI agent: Select the AI persona that'll conduct the interview (language and voice), for example English (US), English (IN), German.
• Evaluate English language proficiency: (If enabled) Turn this on to assess spoken English using a CEFR-based rating during eligible profile screening interviews.

After you choose how to generate questions and configure the agent and language proficiency, you can use Additional guidance (optional) to fine‑tune what the AI should emphasize or skip for this interview (for example, focus more on relocation, skip compensation questions for certain locations).

Step 4 – Choose template or feedback form

The next step depends on the interview type you’ve selected.

Profile screening

• Select interview feedback template (feedback form): The system generates interview questions based on:
  • The selected feedback form
  • The position
  • The candidate’s profile

Functional interviews

• Select the functional interview feedback form or template configured for the role (for example, 'Functional – Sales Manager, Round 1').
• The AI uses the questions and evaluation criteria defined in that form to structure the interview and fill the feedback.

Coding interviews

Select the coding interview template that defines:

• Coding questions and difficulty
• Total interview duration
• Supported programming languages (for example, JavaScript, TypeScript, Python, Java, C++, PHP, Ruby, Go, Rust, Swift)

If you don't see any forms or templates, ask your admin or a template owner to create them first.

Step 5 – Preview and send invite

1. Preview the interview outline: Use the Preview pane to see the questions the AI plans to ask, based on the evaluation criteria, position, and candidate profile.
2. Confirm settings: Check interview type, question source (for profile screening), template/form, and duration.
3. Send invite: Click Send invite to schedule the AI interview for the selected candidate(s).

Once you send the invite, Eightfold sends invitations and tracks interview status automatically.

Review feedback and scores

Once the AI interview is complete, feedback is available within a few minutes.

Where to find feedback

• Pipeline: Look for the feedback indicator and, if enabled, AI‑related scores in the candidate row.
• Candidate profile: Open the candidate and click the AI interview entry to view the feedback form and AI‑generated content.

What you see in the feedback

The exact content depends on interview type and your configuration, but typically includes:

• Summary of the conversation
• Transcript (with key snippets)
• Recording (audio or audio+video, based on video settings)
• Q&A mapped to the feedback form

If AI scoring is enabled, you may also see:

• AI Interview Score (profile screening): A 0–5 score (in 0.5 steps) that reflects how well the candidate’s responses meet the role and form criteria.
• Coding interview score: Overall score plus metric-level ratings such as Code Quality, Code Readability, and Problem Solving, with reasoning and 'View code' for each question.
• Language proficiency rating: A CEFR-based rating and details for spoken English (when Evaluate English language proficiency is turned on in supported profile screening interviews).

These scores can also feed into the candidate’s overall match score, which remains filterable and sortable in the pipeline. If no AI interview score is present, the match score remains based on profile match only.

Submit your review and decision

1. Submit feedback
   • Add any human comments or edits needed.
   • Click Submit to change the feedback status from Pending to Submitted.
2. Provide thumbs up/down (if configured)
   • If the feedback form includes a Thumbs up/down question type, select your final decision at the bottom of the form, then submit.
3. Move the candidate
   • Advance the candidate to the next stage or close them out according to your process.