Enterprise Hiring Case Study: How Verified Skill Credentials Cut Time-to-Hire by 38%

Enterprise talent teams have spent the last five years being told that skills-based hiring will lower cost-per-hire, improve retention, and widen the qualified candidate pool. Most of the evidence has been anecdotal. This case study puts numbers on it.

The dataset below is a composite drawn from three ArcProof enterprise pilots run between Q3 2025 and Q2 2026 — one Fortune 500 financial services firm, one growth-stage SaaS company (~1,800 employees), and one public-sector workforce agency. Each pilot ran side-by-side hiring for the same requisitions: half the funnel screened by traditional resume review, half by verified skill credentials from ArcProof. Numbers are aggregated and rounded; role types are held constant across the comparison.

The core question

Does replacing resume-first screening with verified competency evidence actually change the two metrics enterprise talent leaders are measured on — Time-to-Hire and Quality-of-Hire — or does it just move the work around?

Short answer: yes, on both. But not evenly across role types, and not for free.

Baseline: traditional resume screening

Across the three pilots, the baseline resume-first funnel produced the following averages for mid-level individual-contributor roles (product, data, security, engineering, operations):

None of these are outliers — they land inside the SHRM 2025 enterprise benchmark bands. This is what "normal" looks like before you change the screening layer.

Intervention: verified competency screening

For the verified-credential funnel, candidates were invited to complete an ArcProof challenge tied to the specific role's competency profile. Recruiters screened on the verified credential result *first*, resume *second*. Hiring managers received an evidence packet — the credential, the underlying artifact, and the challenge score — before the first live interview.

The credential was not used as a hard gate. Below-threshold candidates could still advance if the recruiter overrode. Above-threshold candidates were prioritized in the queue.

Results

For matched requisitions across the same 9-month window:

The pattern is consistent across the three pilots. The magnitude varies by role: the biggest Time-to-Hire drops came in security and data roles, where traditional resume signal is weakest. Product and operations roles saw a smaller Time-to-Hire delta but the largest Quality-of-Hire lift.

Why the numbers move

Three mechanisms explain most of the delta:

1. Recruiters spend fewer cycles on unqualified candidates.

The resume-first funnel forces recruiters to guess whether a claim on paper is real. The verified-credential funnel converts that guess into a scored artifact. Recruiter screen throughput rose because recruiters could confidently deprioritize below-threshold candidates and escalate above-threshold ones without a "safety" phone screen.

2. Hiring managers get evidence before the interview.

The hiring manager → offer conversion improved not because candidates got better, but because the interview itself changed. With a verified competency artifact in hand, hiring managers spent live interview time on judgment, collaboration, and role-specific problem framing — not on re-verifying skills the resume already claimed. Fewer "confirm the resume" interviews means faster decisions and better ones.

3. First-year attrition drops when the initial competency read is accurate.

Most first-year voluntary attrition traces back to a competency mismatch — either the employee is over-leveled and stalls, or under-leveled and washes out. Verified credentials shrink the mismatch band on both sides. In this dataset, first-year attrition dropped 9 percentage points, which is the single largest cost-of-hire lever in the whole study.

Cost of hire, unpacked

The 33% drop in loaded cost-per-hire came from three overlapping sources:

Add the three together and the verified-credential funnel paid back the cost of running the ArcProof program roughly 4× in the first year across the three pilots.

What did not improve

This is the honest part. Not every metric moved:

What made the pilots work

The three pilots that produced these numbers had four practices in common. Talent teams considering a similar move should copy them:

1. Credential thresholds calibrated per role, not per platform. Each requisition had a competency threshold set by the hiring manager, not a generic "70% = pass." Credentials are only useful when they map to the actual job.

2. Recruiter workflow rebuilt, not just augmented. The pilots that kept the old resume-first workflow and added credentials on top saw much smaller gains. The lift came from *rebuilding the screen* around the verified artifact.

3. Hiring managers trained to read evidence packets. A one-hour onboarding on how to interpret a verified competency artifact was worth several percentage points of hiring manager → offer conversion.

4. Attribution instrumented from day one. Each pilot tracked which hires came through the credential funnel and tagged them for 12-month performance review. Without that tagging, the Quality-of-Hire lift would have been invisible in the aggregate.

The bottom line for enterprise talent leaders

The case for verified skill credentials in enterprise hiring is now sitting on numbers, not narrative. Across three pilots on matched requisitions, verified competency evidence cut Time-to-Hire by 38%, lifted 90-day performance by 18% relative, and reduced first-year attrition by 43%.

That is not a marginal optimization. It is a category-shift in how enterprise hiring pipelines work.

The realistic starting point for a talent team that wants to test this in their own funnel is narrow — one role family, one quarter, one matched-requisition pilot. Instrument attribution before you start. Set the credential threshold per role. Rebuild the recruiter screen around the artifact rather than layering it on top.

That is the version of skills-based hiring that produces the numbers above. Everything else is theater.

See how ArcProof powers enterprise hiring →

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Author: Adaobi Nwosu-Chukwuemeka, Head of Talent Research at ArcProof

Published: July 2026

Tags: verified skill credentials, ai-powered hiring, enterprise hiring case study, time to hire, quality of hire, arcproof credential