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Every completed AI interview produces a report for the candidate’s attempt: an AI-generated evaluation, the full transcript, and a recording of the session.

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The AI-Generated Report

1

Open the interview's results

From the AI Interviews dashboard, click the AI interview.
2

Select a candidate

Click the candidate whose attempt you want to review.
Depending on the settings you enabled, the report shows up to three tabs:
AI interview report for a Full Stack Developer candidate with a Strong Hire recommendation, three strengths, two areas for improvement, a summary, and Topic Performance cards scoring MCP Tools 92%, AI Agents 88%, Context Management 90%, Code Review 86% and Prompting 88%

The Test Summary of a conversational interview, from recommendation to topic scores

For a conversational interview, the default Test Summary gives a Recommendation, Strengths, Areas for Improvement, a Summary, and a Topic Performance score per topic. Topic scores are weighted by difficulty. For a one-way interview, the report shows each question alongside the candidate’s answer and its AI grade.
Teams with AI Interview Report Templates enabled can replace the default summary with a custom evaluation. See Custom Report Templates.
If the report shows “Processing…”, the AI is still evaluating the attempt. Evaluation usually finishes shortly after submission.

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Downloading a PDF

Click Download Report to export the evaluation as a PDF you can share with hiring managers outside Equip.

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Transcript and Recording

In a one-way interview report, the transcript is available with each question. In a conversational interview report, the full transcript appears below the rest of the report, with each entry timestamped and labeled Interviewer or Candidate.
For conversational interviews, click any line in the transcript to jump the recording to that exact moment.
If the Workspace was enabled for a conversational interview, written and coded answers appear in the report too. Code is captured as timestamped snapshots that are seekable against the recording, plus the final version.
Code written section of an interview report showing the candidate's final Python function and an open snapshot timeline with two earlier versions, stamped 6:42 and 7:51

Code written in the Workspace, with the final version and timestamped snapshots

Interviews are recorded server-side, so the recording and transcript are available even if the candidate’s browser closed unexpectedly.