5 Recruiting Metrics Talent Leaders Must Track in 2025

Recruiting has never been harder.
Job markets swing wildly between over-supply and under-supply.
Candidates demand more transparency.
And turnover is a persistent headache.

Traditional recruiting methods can’t keep up. Without the right data, TA leaders are flying blind when it comes to knowing which sources deliver, how fast they can hire, and whether new hires will actually stay.

That’s where recruiting analytics comes in. As Brianne Minnich, HCM Delivery Director at SplashBI, put it during the OHUG webinar on people analytics applications in recruitment workstreams, “You wouldn’t be able to tell that story from a spreadsheet. But having dashboards and KPIs that you can dig into – that’s where it gets powerful.”

In this blog, we’ll explore the five recruiting metrics that every talent acquisition leader should track in 2025. Each one gives you insight into bottlenecks, ROI, and long-term hiring success.

And if you want to go deeper, you can click here to watch the full OHUG webinar and learn how analytics makes it possible.

1. Time to fill

Definition: The number of days between a job requisition being opened and an offer being accepted.
Time to fill is the most visible recruiting metric. Hiring managers and executives care deeply about it because it impacts productivity, team performance, and customer delivery. Yet without data, TA teams often set unrealistic expectations.
In the webinar, Raghu Veeraraghavan, VP of Analytics at SplashBI, highlighted why breaking this down into sub-metrics matters, “When people talk about recruitment, people get frustrated with time. But it tells you how well you’re performing at each stage – time to qualify, time to interview, time to fill, time to hire.”

Don’t just report “time to fill.” Track each stage so you can pinpoint where bottlenecks occur. For example, if candidates get stuck between interview and offer, you may need to accelerate decision-making or streamline approvals.

2. Quality of hire

Definition: The long-term performance and retention of new hires.
Filling a role quickly is meaningless if that hire leaves six months later. Quality of hire connects recruitment to business outcomes like productivity, retention, and promotion readiness.

The challenge is linking ATS data (who was hired) with HR data (how long they stayed, how they performed). As Raghu explained:

“The link between your ATS and HR is very, very important to see end to end what is happening, from the beginning till the end.”

Without that connection, you can’t answer critical questions: Which sources deliver candidates that perform best? Which recruiters consistently hire talent that thrives? Quality of hire closes the loop and gives TA teams credibility at the leadership table.

3. Source effectiveness

Definition: The ROI of your recruiting channels – job boards, social media, recruiters, referrals, etc.
Sourcing is expensive. Companies spend thousands (sometimes millions) on external job boards, agencies, and platforms each year. But without tracking source effectiveness, they risk pouring money into channels that don’t deliver.

During the webinar, Brianne emphasized the need for cross-reporting across ATS and HR systems, “Think about the money you’re spending… $100,000 here, $150,000 there. But what sort of return are you getting from those sources? And how long are those candidates staying with your company?”

Internal referrals often emerge as the most cost-effective channel, not just for initial quality but for long-term retention. Analytics helps you prove that, and redirect spend toward what truly works.

4. Conversion rates by funnel stage

Definition: The percentage of candidates who progress from one recruiting stage to the next: application → phone screen → interview → offer → hire.

Conversion rates show you exactly where candidates are dropping off. Low conversions may signal problems with job descriptions, interview processes, compensation, or candidate experience.

The webinar speakers noted that funnel data is also a performance tool. If one recruiter consistently has low conversion from interviews to offers, they may need training or better alignment with hiring managers.

Tracking conversion rates also improves candidate experience. By predicting where drop-offs are likely to occur, TA teams can intervene earlier and keep candidates engaged.

5. Early attrition

Definition: The percentage of new hires who leave within the first 6–12 months.

Why it matters: Early attrition is one of the most painful recruiting outcomes. It signals that either sourcing wasn’t aligned with role requirements, the candidate experience was poor, or onboarding failed.

In the webinar, Brianne shared a case study of a company that used analytics to reduce time-to-fill by 42% while also improving retention. “They had high turnover and it was taking too long to fill positions. By bringing in people analytics, they pinpointed problem areas in the funnel, aligned recruiters, and cut their time to fill by 42%,” she said.

Measuring early attrition helps you see where those mismatches occur – and fix them before they become expensive.

How are you tracking on these recruiting metrics?

Tracking these five recruiting metrics can transform TA from reactive to strategic. They give you the insights to set realistic expectations, prove ROI, and improve both hiring speed and retention.

And you don’t need to track every metric under the sun. As Brianne said in the webinar, “You have to walk before you can run. Focus on the top key metrics.”

If you want to see how leading companies are doing it, and how analytics platforms make these metrics easy to track, watch the full OHUG webinar here.