> This is the markdown version of https://www.classet.ai/blog/quality-of-hire-metrics > Learn more at https://www.classet.ai ![Low-poly illustration of a gauge needle rising over a row of workers](/_next/image?url=%2Fimages%2Fblog%2Fquality-of-hire-metrics.png&w=3840&q=75) # Quality of Hire Metrics for High-Volume Hiring Quality of hire is the metric TA leaders rank first and measure least. For hourly, high-volume hiring, the corporate formulas break. Here are five metrics you can actually track. [![Paul Jones](/_next/image?url=https%3A%2F%2Fassets.basehub.com%2Fe0b5701f%2F6599306507912123f90f150a8bfaaf6c%2Fscreenshot-2026-01-28-at-10.53.16-am.png%3Fwidth%3D100%26height%3D100%26quality%3D100&w=96&q=75) Paul JonesHead of Growth at Classet ](/blog/authors/paul-jones) September 29, 2026 Guides & Insights, AI Recruiting TA leaders rank quality of hire near the top of the metrics they care about, and few of them measure it well. In [LinkedIn's 2024 Future of Recruiting report](https://www.linkedin.com/business/talent/blog/talent-acquisition/how-to-measure-quality-of-hire), TA professionals named it the top topic shaping recruiting over the next five years. For a team making 3,000 hourly hires a year, the standard advice (performance ratings, 12-month reviews, team-fit scores) mostly doesn't apply. Most of those hires never get a formal review, and plenty of them leave before one would happen. I'd stop chasing a single quality-of-hire score and measure a few things you already have data for, split by where the hire came from. Quick answer Quality of hire measures how much value new hires add after they start, usually through performance, retention, and hiring manager satisfaction. For high-volume hourly hiring, measure quality of hire with metrics you can collect at scale: 90-day retention, first-shift show rate, hiring manager acceptance rate (interviews requested ÷ candidates sent), time to productivity in shifts, and rehire eligibility at exit. Combine three of them into a simple score. Then compare that score by source, location, and screening path, because the comparison tells you more than the absolute number. ## How do companies measure quality of hire? LinkedIn's [2025 Future of Recruiting report](https://www.linkedin.com/business/talent/blog/talent-acquisition/solving-quality-of-hire-riddle) found 89% of TA professionals agree measuring quality of hire will become more important. When LinkedIn asked how they measure it, no single answer won: Metric used to measure quality of hire Share of TA pros using it Job performance 66% Retention / turnover 60% Hiring manager satisfaction 44% Skills match 44% New hire satisfaction 36% Time to productivity 26% _Source: LinkedIn Future of Recruiting 2025._ Job performance is the most common measure, and it's the one high-volume teams can least rely on. ## Why corporate quality-of-hire formulas break for hourly roles Start with the review cycle. Corporate formulas assume a performance rating at 6 or 12 months. A seasonal warehouse associate or a quick-service crew member may never get one, so the metric is blank for most of the people you hire. Turnover is the next problem, and in hourly roles it's high enough to swamp everything else. BLS JOLTS data shows the monthly quit rate in accommodation and food services was 3.5% in August 2026, and 3.0% in retail, against 1.9% across all nonfarm jobs. And turnover cuts both ways: a great hire can quit over a schedule change, and a poor one can stay for a year. Then there's ownership. Recruiter Tim Sackett put this bluntly in LinkedIn's roundup: quality of hire depends on selection, onboarding, training, and management, and hiring managers own most of those. So a TA team needs a measure of its own part of the process, separate from what happens after day one. ## Which quality of hire metrics work for high-volume hiring? Five metrics work at volume because you can collect them for each hire without a performance review. 1. **90-day retention.** The share of hires still employed 90 days after their start date. You can measure it from HRIS data for every hire. Retention correlates with quality but doesn't prove it, so pair it with the next metrics before you draw conclusions. 2. **First-shift show rate.** People who show up to their first shift ÷ offers accepted. In hourly hiring, a no-show on day one is the most common quality failure, and you'll see it within a week. 3. **Hiring manager acceptance rate.** Candidates the manager chooses to interview ÷ candidates your team sends. Sackett calls this "quality of applicant" and suggests that a TA team doing its job well should land in the 80 to 90% range. This one measures screening directly. 4. **Time to productivity, in shifts.** The number of shifts until the hire works unsupervised, passes a certification, or hits a basic rate standard. Define it once for each role family and keep the definition fixed. 5. **Rehire eligibility at exit.** When someone leaves, does their manager mark them eligible for rehire? It's blunt, but managers record it at the moment you'd otherwise lose the information. ## What is a simple quality of hire formula? You don't need a weighted model to start. Average three rates that are already percentages: **Quality of hire = (90-day retention % + hiring manager acceptance % + first-shift show rate %) ÷ 3** This illustrative comparison covers two screening paths at the same company: Metric Path A: recruiter call-backs Path B: structured phone screen within minutes 90-day retention 58% 66% Hiring manager acceptance 61% 82% First-shift show rate 72% 85% **Quality-of-hire score** **63.7** **77.7** _Illustrative figures for the method, not benchmarks._ The score is only useful as a comparison. Split it by source (Indeed, referrals, agencies), by location, and by screening path, and the gaps show you where to act. A location with a 50 score next to locations at 75 has a problem you can go and look at. ## Does AI screening raise or lower quality of hire? Enterprise buyers ask us this more than anything else. Measure it yourself instead of taking anyone's word for it, ours included. Two things should move the metrics above. A structured phone screen asks each candidate the same questions, which makes hiring manager acceptance more predictable. It also reaches applicants within minutes, before they accept another offer, which should show up in first-shift show rates. With Classet, Joy collects answers to your qualifying questions and returns a summary and recording, and your recruiters and managers make the decisions. Our post on [why hiring managers trust AI screening](/blog/hiring-manager-trust-ai-screening) covers how teams build that trust. The fair test is a pilot. Run one screening path for a set of locations or roles for 60 to 90 days, keep the rest as they are, and compare the five metrics above. Our [recruiting ROI business case](/blog/ai-recruiting-roi) lays out how to set up that pilot so finance accepts the result. If speed is your current headline metric, pair it with [time to hire for hourly roles](/blog/time-to-hire-hourly-roles) so you don't trade quality for speed without seeing it. ## Common questions How do you measure quality of hire? Most organizations combine several metrics. In LinkedIn's 2025 Future of Recruiting report, 66% of TA professionals used job performance, 60% used retention, and 44% used hiring manager satisfaction. For high-volume hourly roles, 90-day retention, first-shift show rate, and hiring manager acceptance rate are easier to collect at scale. What is a good quality of hire formula? A simple starting formula averages three percentages: 90-day retention, hiring manager acceptance rate, and first-shift show rate. Track it by source, location, and screening path, and compare segments to each other rather than to an outside benchmark. Is 90-day turnover a good measure of quality of hire? It's a useful signal but not proof on its own. People leave good jobs for scheduling, pay, or management reasons that have nothing to do with how they were hired. Pair it with hiring manager acceptance and first-shift show rate before you draw conclusions. What is hiring manager acceptance rate? It's the share of candidates sent to a hiring manager whom the manager chooses to interview. It measures the screening step directly. Recruiter Tim Sackett suggests a well-run TA team should land in the 80 to 90% range. Who owns quality of hire, TA or hiring managers? Both. TA owns who gets screened in and how fast. Managers own selection, onboarding, and the first weeks on the job. Splitting the metrics this way, with acceptance rate and show rate for TA and productivity and retention shared, keeps either side from being judged on what the other controls. ## Key points - LinkedIn found 89% of TA professionals expect quality of hire to matter more, but performance ratings rarely exist for hourly hires. - Measure five things you can collect at volume: 90-day retention, first-shift show rate, hiring manager acceptance, time to productivity, and rehire eligibility. - Average three of them into a simple score, and compare it across sources, locations, and screening paths. - Hiring manager acceptance rate measures your screening step directly. Aim for 80 to 90%. - Test any screening change with a 60- to 90-day pilot against a control group, not a vendor's claim. [Book a demo](/demo) to plan a quality-of-hire pilot on your own hourly roles. [![Paul Jones](/_next/image?url=https%3A%2F%2Fassets.basehub.com%2Fe0b5701f%2F6599306507912123f90f150a8bfaaf6c%2Fscreenshot-2026-01-28-at-10.53.16-am.png%3Fwidth%3D100%26height%3D100%26quality%3D100&w=128&q=75) Paul Jones Head of Growth at Classet Paul comes from an operator background running an Alpine-owned company, and brings firsthand experience with the hiring challenges Classet was built to solve. He's driven by a belief that the right technology can make meaningful work more accessible. ](/blog/authors/paul-jones) Follow Classet in Google Add classet.ai as a preferred source and our hiring research is more likely to show up in your Top Stories and AI Overviews. 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