The 3 Recruiting Metrics That Actually Predict Quality of Hire

Most TA teams track time-to-fill and cost-per-hire. Neither predicts whether someone will still be there in 18 months. Here's what does — and why most dashboards are set up to lie to you.

Most TA dashboards are tracking the wrong things.

Time-to-fill tells you how fast you moved. Cost-per-hire tells you what you spent. Neither tells you whether the person sitting across from the hiring manager six months later is actually good at the job. I’ve seen companies obsess over a 23-day TTF while their 90-day attrition quietly hit 31%.

After running recruiting functions across 40+ tech companies, I’ve found that three metrics — and only three — consistently correlate with quality of hire before the offer is made.

1. Hiring Manager Satisfaction Score at the Shortlist Stage

Not at the end of the process. At the shortlist.

If your hiring manager is consistently disappointed by your first 5 candidates, that is data. It means one of three things: the intake session was shallow, the job requirements aren’t realistic, or your sourcing is hitting the wrong pools.

The fix is dead simple: after submitting each shortlist, ask the hiring manager to rate the overall quality on a 1–5 scale. Track it per requisition, per team, per manager. After 6 months, patterns emerge that no amount of post-hire feedback can give you.

What you’re looking for: a shortlist satisfaction score above 3.8 on average. Below 3.0 consistently means your intake process is broken.

2. Offer Acceptance Rate by Source Channel

Not overall OAR. By source.

Most companies know their aggregate offer acceptance rate. Few track it by where the candidate came from: LinkedIn Recruiter outreach vs. employee referral vs. inbound application vs. niche job board.

The gap is usually shocking. In one company I worked with, inbound applicants from their careers page had a 91% OAR. LinkedIn cold outreach: 64%. That’s not just a compensation story — it’s a candidate expectation story. Candidates who apply inbound already want to work there. Candidates who were recruited need to be sold harder, and most companies don’t adjust their process accordingly.

If your OAR by source varies by more than 20 points, you have a conversion problem that average OAR will never show you.

3. Time-to-Productivity (Recruiter-Defined)

This one will get pushback, but stay with me.

Time-to-productivity is typically owned by HR or People Ops. Recruiters think it’s not their problem — the hire was made, the job is done. Wrong. If the people you’re placing are consistently slow to ramp, or if certain roles have higher 6-month attrition, that’s signal about the quality of your sourcing criteria, your assessment process, or both.

You don’t need to own the metric. You need to consume it. Ask People Ops for the 6-month and 12-month performance distribution of hires you made in the past 2 years. Map it back to sourcing channel, assessment pass rates, and hiring manager. You will find patterns that change how you source.


The Metric You Can Cut

If you’re tracking more than 8 recruiting metrics on a regular cadence, you’re not analyzing — you’re collecting. Pick the 3 above, add time-to-fill for operational purposes, and you have everything you need to tell a coherent story about your function’s performance.

The goal is not a comprehensive dashboard. The goal is a clear answer to: “Is what we’re doing producing good hires, faster?”

Most dashboards can’t answer that. These three metrics can.