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Expert vettingCheck domain depth before an expert joins a project.
ApplicationsInterview every accelerator or fellowship applicant.
Hiring at volumeA first-round interview for everyone who applies.
Technical interviewsA coding task, then a probe on the trade-offs.
Customer researchDiscovery calls, concept tests and win-loss interviews.
People teams30-day check-ins, engagement and exit interviews.
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Tracy AI Interviewer
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Expert vettingApplicationsHiring at volumeTechnical interviewsCustomer researchPeople teams
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Use cases/Hiring at volume

Everyone who applies gets an interview

Each applicant starts when they click the link, at any hour, with no recruiter and no calendar.

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In-house talent teamsStaffing firmsGraduate programmes
Interviews · Senior data engineer5 today
Tracy
InterviewsResultsQuestionsInvitesSettings
Started on click, at any hour. No calendar.
PersonStartedStatus
NANina Alvarez02:14Result ready
TKTomasz Kowal06:40Result ready
AOAma Owusu11:05In interview
LSLeo Sato19:22Invited
PDPriya Das23:48Rejoined, finished
Why it is hard today

The first round is where the time goes.

  • Recruiters can call a fraction of the applicants, so the shortlist depends on who applied first.
  • Scheduling first calls takes longer than the calls.
  • Applicants wait days and drop out.
How Tracy runs it

Three steps. No calendar.

  1. Start from the job description

    Tracy drafts the questions. Turn on CV check to add 3 to 5 questions from each CV.

  2. Invite everyone, or link from your apply page

    People start when they are ready. If they drop, they can rejoin within 10 minutes, and a reminder goes out after a day.

  3. Read results as they land

    An assessment per question, with the transcript and recording behind it.

What you get

Evidence behind every result.

  • Interviews on clickReady in under 10 seconds, any hour.

  • Rejoin and remindersDropped interviews are chased for you.

  • A consistent first roundThe same depth for applicant one and applicant five hundred.

  • Pay for resultsA session with no answers is never charged.

Result · Nina Alvarez · Senior data engineerResult ready
Assessment per question
No tab changesOne screenFace in frame
Index for the ledger table

Chose the index from measured read latency, and named the write cost without being asked.

04:1204:51
A migration that went wrong

Owned the rollback. Gave the order of steps and what she changed in the runbook after.

09:30
Retries from a payment provider

Idempotency keys on write. Did not cover what happens when the key store is down.

14:02Gap to probe
04:12
04:09Reads were the bottleneck, so we went with a B-tree on account and date.
04:12About four times faster on reads. Writes slowed by a fifth.
04:20We accepted that because writes were batched overnight anyway.

More use cases

Expert vetting

Vet experts in their own field

Read
Applications

Interview every applicant, not the shortlist

Read
Technical interviews

A coding task, then the why

Read
Start today

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Run your first 3 interviews free, or book a demo and watch Tracy work through your own questions.

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Tracy AI Interviewer

Video interviews that follow up in the person's own field, with evidence behind every result.

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