Recruiters typing through interviews is the silent tax on every hire. Attention splits during the call. Feedback slows after it. The admin work doesn't scale.

Our Notetaker eliminates the tax. It auto-joins every interview from the calendar and transcribes in real time, speaker-labeled.

The AI writes the structured scorecard against the role's rubric the moment the call ends. The scorecard, transcript, and summary push into the ATS the same minute. The recruiter spends the call listening, not typing.

The silent tax of manual notetaking

Recruiters carry the tax on every interview. Some of it is visible (the late-night clean-up of fragmented notes), some of it is invisible (the candidate the interviewer half-heard because they were typing). All of it compounds across the funnel.

Here is where the tax shows up:

• Split attention costs signal. When the recruiter is typing, they are not listening fully, so probes get shorter and red flags get missed.
• Slow feedback stalls decisions. Notes scattered across inboxes need rewriting before they can be shared, and the candidate's specifics fade with every hour of delay.
• Inconsistency invites bias. Some interviewers write a novel, others jot bullets, and the debrief becomes a negotiation about whose notes are usable.
• Admin doesn't scale. More hiring means more notes, more clean-up, more follow-up, and the quality dips first.

Every one of these is a recruiter problem before it becomes a process problem. Removing the typing removes the cascade.

How our Notetaker works, end to end

The product runs as four sequential moves inside the existing interview workflow. No new tool to log into, no new habit to build. The recruiter does the interview; the rest happens around them.

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1. 1Auto-join from the calendar invite, no manual launch.
2. 2Speaker-labeled transcript appears in real time during the call.
3. 3Topic chips surface where each signal landed in the conversation.

Move one is the auto-join. We watch the calendar for interview invites, classify the meeting type from the metadata, and pair the right template before the call starts.

No prompt, no manual click. Screen calls, panels, intakes, debriefs all get covered.

Move two is the live transcript. Speaker labels, accurate to the cadence of an interview, available inside the call window so the recruiter can scroll back mid-conversation if they need to.

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1. 1Structured scorecard drafted against the role's rubric.
2. 2Signal coverage and culture-fit cues surfaced as topic chips.
3. 3Recording and transcript anchored to every claim for one-click verification.

Move three is where the scorecard writes itself. AI Notes drafts against the role's rubric, in the working language, the moment the call ends. Every claim is anchored to the transcript so the hiring manager can verify the lift in one click.

Move four is the ATS push. The scorecard, transcript, and summary land in the candidate record the same minute the call closes. The debrief runs on shared evidence, not reconstructed memory.

The practitioner outcome: time back, faster decisions

The lift shows up in numbers recruiters can feel: the hours back every month, the minutes between call end and feedback submitted. Both are measured on real customer teams, not modeled.

The compounding matters. Time back per recruiter goes into deeper sourcing, sharper intake calls, faster candidate follow-up. Time-to-decision compresses because the debrief no longer waits on someone reconstructing what was said.

The Engine team uses the transcript and structured scorecard as the diagnostic layer for the whole funnel, not just the individual hire.

When conversions look off, the interview record is the place they look first. The interview becomes shared evidence, not memory.

Compliance sits underneath all of it. GDPR, CCPA, and SOC 2 are default. Role-based access controls and read-only modes scope who sees what. Retention is configurable per workspace, and redaction is customer-controlled.

What changes for the candidate

The candidate notices three things, even if they can't name the source: the interviewer is genuinely present, the follow-up arrives faster, and the evaluation feels structured rather than improvised. Those are the signals that build a reputation.

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1. 1Consistent ICP-fit signal applied across every candidate in the funnel.
2. 2Set context panel anchors the evaluation criteria the team agreed at intake.
3. 3Reject and progress actions are one click, with provenance preserved.

Documentation builds trust. When the interviewer references structured notes and the rubric is visible, the evaluation reads as fair rather than felt. That is the experience customers' candidates report back.

Speed shows respect. Fast follow-up tells the candidate their time mattered. Consistency reduces risk. Structured documentation makes fair-and-compliant decision-making the default, not the effortful exception.

The cumulative effect is a hiring loop that compounds in the team's favor. Better signal in the interview, faster decisions after it, candidates who refer friends, and a process that scales without losing texture. Our Notetaker is the move that closes the loop.