Interviewed 1,000 Candidates and Hired 10 Across Engineering, Product, and Design

Prospire · Technology Consulting, India

Prospire interviewed 1,000 applicants across engineering, product and design, shortlisted 15, and hired 10 — building three teams at once without months of manual review.

Results at a Glance

  • Total AI Interviews: Manual process → 1,000
  • AI Shortlisted: N/A → 15 candidates
  • Final Hires: Months of effort → 10 hires

Background

Hiring for three disciplines simultaneously is what breaks small talent teams: each needs different evaluation criteria, and a single recruiter cannot hold three different bars consistently across a thousand applications.

The Challenge

- Prospire needed to build Engineering, Product Management, and UI/UX teams simultaneously - 1,000+ applicants across multiple roles - Manual review would have taken months of recruiter and hiring manager time - Without ai interview software, no way to filter at scale without losing quality candidates

What They Tried First

The default is to filter on resumes first and interview a small subset. On 1,000 applicants across three disciplines, that means the shortlist is decided by whoever reads fastest, and strong candidates with unconventional backgrounds never reach a conversation.

The Solution

- Used The Cognitive to run automated video interviews for all 1,000 applicants - Each candidate completed a role-specific AI interview covering technical depth and team fit - AI evaluated every response against Prospire's criteria - Shortlisted 15 candidates across Engineering, Product Management, and UI/UX - Hiring team only met those 15

How the Rollout Went

The rollout began by translating Prospire’s criteria for Engineering, Product Management, and UI/UX into role-specific AI interviews, then routing the full applicant pool through automated video interviews. The surprising part was less the technology setup than the amount of internal debate needed to define the bar consistently. The rough patch was calibration: some prompts and evaluation language had to be tightened so technical depth and team fit meant the same thing to every reviewer.

The Results

- 1,000 automated video interviews completed - AI shortlisted 15 candidates from the full pool - Hired 10 across Engineering, Product Management, and UI/UX Design - Entire process took weeks instead of months - Zero recruiter burnout, zero missed candidates - See AI interview pricing for high-volume hiring teams. - Read more: What is an AI interviewer?

What It Was Worth

1,000 interviews conducted, 15 shortlisted, 10 hired — a 67% shortlist-to-hire rate. That ratio is the point: when every applicant is assessed, the shortlist is small because it is accurate, not because it is all anyone had time to read.

What Transfers to Other Teams

Interviewing everyone inverts the usual funnel. Instead of narrowing on paper and hoping the best candidate survived, you narrow on demonstrated ability — which is why a 15-person shortlist could produce 10 hires.

We had a thousand applicants and no way to fairly evaluate all of them. The AI interviewed every single one. Out of the 15 it shortlisted, we hired 10. That hit rate speaks for itself.

Hiring Lead, Prospire

Questions About This Rollout

Is it practical to interview 1,000 applicants?

Prospire did, across engineering, product and design. Candidates self-schedule and interview at any hour, so throughput is not limited by anyone's calendar.

How were three different roles assessed consistently?

Each discipline had its own evaluation criteria agreed before interviews began, and every candidate for that discipline was scored against the same criteria — so a product shortlist and an engineering shortlist are each internally comparable.

Other hiring teams we have done this for

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