Case StudyHigher Education · University
Huston-Tillotson University

92 days to 22. How Huston-Tillotson University cut time-to-fill by 75%.

Weekly hiring panels meant good communication but slow decisions. A shared Screenz dashboard gave recruiters and hiring managers the same real-time view — and compressed a 92-day process into 22 days.

Quinika Qualls
Quinika Qualls
Director of HR, Huston-Tillotson University
92.67 days
Time to Fill — Before
22.90 days
75% faster
Time to Fill — After
69.77 days
Days Saved Per Hire
112
in just 8.9 days
AI Screenings Completed

The Challenge

HTU's average time-to-hire in 2025 was 92.67 days — nearly a full quarter per role.

The hiring process relied on weekly panels where recruiters and hiring managers would meet to discuss candidates. Communication was thorough but infrequent, creating bottlenecks between meetings.

Decisions that could have been made in hours were delayed by days waiting for the next scheduled panel.

The slow process risked losing qualified candidates to other offers and left positions vacant longer than necessary.

“We didn't realize how fast we could move with having Screenz and we're really happy we started with them.”
— Quinika Qualls, Director of HR

How Screenz Helped

Shared dashboard eliminated the weekly panel bottleneck
Hiring managers and recruiters could view the same candidate scores, transcripts, and rankings in real time — no need to wait for the next scheduled meeting to make a decision.
112 AI screenings completed in 8.9 days
The AI Recruiter screened candidates automatically as they applied, building a fully evaluated pool in under 9 days — work that previously stretched across weeks.
15 candidates shortlisted without a single scheduling call
From 112 applicants to a focused shortlist of 15, all ranked by the AI and ready for human review without any manual screening effort.
Final interviews completed in 10–14 days
With a pre-vetted shortlist ready, the team moved directly to final interviews — compressing the entire process to 22.90 days total.

The Results

✓

Time-to-fill dropped from 92.67 days to 22.90 days — 69.77 days faster.

✓

112 AI screenings completed in 8.9 days for the Public Services Library Assistant role.

✓

15 candidates shortlisted from 112 applicants with no manual screening.

✓

Final interviews wrapped up within 10–14 days of shortlisting.

✓

Hiring decisions made faster and more accurately with a shared real-time dashboard.

✓

75% reduction in time-to-fill in the very first role run through Screenz.

“

112 candidates screened in 8.9 days. 15 shortlisted. Hired in 22.90 days.

— Quinika Qualls, on the hire made with Screenz

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