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Job interview transcript example for recruiters
A realistic job interview transcript from a recruiter screening call, followed by the notes and recommendation written from it. Copy it to train your team, or see how ReCo turns a live transcript into a write-up.
Job interview transcript example: recruiter screening call
A 15-minute first-round screen for a Senior Product Manager role in B2B fintech. Speaker labels are kept and filler words removed.
Synthetic example: the candidate, companies and figures are invented for illustration.
What the recruiter writes from that transcript
The transcript is evidence. These are the notes and the recommendation built from it, including the criterion the interview did not cover.
Evidence by criterion
Paragraph for the client
The same kind of transcript, live in ReCo
In ReCo the transcript builds during the call, from the Google Meet or Microsoft Teams captions or from the computer microphone, and Enhance cleans it up afterwards. Demo session with sample data.
Walk me through a recent product you managed end-to-end in B2B SaaS or fintech and the outcomes you achieved.
At Revolut Business I own onboarding for business accounts end to end, from discovery through delivery. The strongest outcomes were higher onboarding completion, fewer manual reviews and faster activation without lowering compliance standards.
Before EnhanceAt revolute business I own onboarding for business accounts end to end, from discovery through delivery. Um, the strongest outcomes were higher onboarding completion, fewer manual reviews and and faster activation without lowering compliance standards
Describe your experience with payments, onboarding or compliance products and how regulation influenced your product decisions.
Most of my recent work sits exactly in that space. Regulation shaped the product a lot, so we had to design flows that reduced friction for good customers while still meeting KYC, risk and audit expectations across markets.
What a useful interview transcript gives you
A transcript is only the raw material. Its value comes from what you can check, quote and decide with it afterwards.
Exact answers you can quote
Who said what, in the candidate's own words, including the numbers and examples you will want in the recommendation.
Evidence you can check against criteria
Compare the answers with the role's criteria and see which ones the interview covered and which it did not.
A record you can edit before AI uses it
Remove a sensitive aside or an off-topic detail before the transcript feeds a summary, a feedback message or a report.
Get the transcript while you interview, next to the CV and the role
ReCo transcribes the interview live in Chrome during Google Meet and Microsoft Teams calls, with no bot joining. Phone and face-to-face interviews are captured through the computer microphone as a paid add-on. The transcript sits next to the CV, the job description and your notes, so the write-up starts from the same evidence.
- No audio or video is stored; ReCo works from the transcript.
- Live transcription in English, Polish, German, Danish, Ukrainian and more.
- Edit the transcript before AI drafts notes or a recommendation.
The interview workspace between sourcing and your ATS
Sourcing tools help you find candidates. Your ATS or recruitment CRM stores and tracks them. ReCo is built for the interview work in between: the transcript, the notes, the assessment and the write-up.
Finding candidates
There you search, identify, and reach candidates.
Interviews, evaluation, write-ups
You've got one workspace for all your calls — with full candidate & role context and AI support before, during, and after every interview.
Managing the
process & database
There you store candidate information, manage relationships, and track the hiring process.
Not another notetaker. The place you do the whole interview job - from running the call to the finished report.
Think ChatGPT + a notetaker in one recruiting workspace, already set up for candidate interviews. Prepare the role and questions, run the call with the CV, notes, and live transcript at hand, then create the write-up from those same sources. Because the context builds as you work, AI can help without extra prompts, uploads, or re-explaining the candidate and role.

Prep, run, write up - one space
Role context and questions before the call; the CV, JD, and your own notes at hand during it; a write-up built from those same sources after - you choose what feeds each part, and what you write yourself.
A recommendation report you edit however you like
Generate the whole candidate report, rewrite one paragraph with your own instruction, or write a section by hand - all in the same editor, with the sources behind each block up to you: transcript, notes, CV or job description.
A notetaker at its core
A live transcript for Google Meet and Teams, with no audio or video stored. Face-to-face meetings and phone calls on speakerphone are captured through the computer microphone as a paid add-on.
Time back after every conversation
Reports, notes, and summaries done 50-80% faster - while the conversation is still fresh.
AI that needs no prompting
Chat and quick actions already know your candidate and role - ask for follow-up questions, a tailored candidate feedback message, or a search strategy. No prompt engineering, no transcript to paste, no role to explain.
Compliance built into the flow
CVs are anonymized automatically. You edit the transcript by hand. No AI training, and you make the final call.
A workflow your team will actually use
Recruiters keep working the way they already do, but with the full interview stage in one place. You get consistent structure across calls and reports, while useful AI does not depend on everyone mastering prompts or rebuilding context.
Interview transcripts: FAQ
How transcripts are made, shared and turned into recommendations.
Pricing
From interview to recommendation. 50–80% faster.











