Your recruiting team fills roles, but can you prove the process is actually working? Most IT directors and VPs of talent track time to fill and call it a day, then get blindsided by a 40 percent first year turnover rate or a hiring manager who stopped trusting the pipeline months ago. Talent acquisition KPIs exist to catch exactly this, but only if you’re tracking the right ones and not just the easy ones.
This article gives you the 10 metrics that matter for measuring and improving how you find, hire, and keep technical talent. Each one ties directly to a decision you can make this quarter, whether that’s fixing a broken sourcing channel or renegotiating your staffing vendor’s terms. No vanity metrics, no dashboards nobody reads.
We built this list from what we track at Aristek while placing candidates across healthcare, manufacturing, and finance clients who need speed without sacrificing quality. You’ll get the formula for each KPI, a benchmark to compare against, and a plain explanation of why it belongs on your scorecard. By the end, you’ll know which numbers actually predict a hire that sticks.
1. Time to hire
What it measures
Time to hire tracks the number of days between when a candidate applies (or gets sourced) and when they accept your offer. It’s the clock that tells you whether your pipeline moves at the speed your business needs, or whether good candidates are dropping out while your process grinds through another round of approvals. For IT roles especially, where demand for data engineers and network specialists outstrips supply, this number decides whether you land the candidate or lose them to a competitor who moved faster.
How to calculate it
The formula is straightforward: subtract the application date from the offer acceptance date for each hire, then average across a role, team, or quarter.
Time to Hire = Offer Acceptance Date - Application Date
Track this separately for each job family. A helpdesk technician role and a senior cloud architect role shouldn’t share a benchmark, because the sourcing pool and interview complexity differ wildly.
Why it matters
Speed protects your offer from competing bids. Industry data from the Society for Human Resource Management shows the average time to fill a role sits around 36 days, and every extra week increases the odds a candidate accepts elsewhere. For technical roles, that risk compounds, since strong engineers often field multiple offers within days of entering the market.
A slow hiring process doesn’t just cost you time, it costs you the candidate.
Hiring managers also lose confidence in a stalled pipeline. Once they start assuming recruiting can’t deliver, they route requisitions around HR entirely, which undermines the whole talent acquisition function.
How to improve it
Start by mapping every step in your current process and timestamping each one, from application to offer. That audit usually exposes the real bottleneck, which is rarely sourcing.
- Cut approval layers. If three people need to sign off before an offer goes out, get that down to one or two.
- Pre-screen with structured criteria. Reduce time wasted on interviews that never had a shot.
- Keep a warm bench ready. This is where a staffing partner with an existing candidate network, like Aristek’s pool of over 100,000 vetted IT professionals, shortens the sourcing phase dramatically.
- Set stage-level SLAs. Give hiring managers 48 hours to review resumes and 72 hours to give interview feedback, then hold them to it.
Most delays live in internal handoffs, not in finding candidates. Fix those handoffs first.
2. Cost per hire
What it measures
Cost per hire adds up everything you spend to fill a role, from job board fees to recruiter salaries to signing bonuses, and divides it by the number of hires. It’s the number finance asks for when budget season starts, and it’s the one that exposes whether your recruiting spend actually scales with headcount growth or just balloons quietly in the background.
How to calculate it
The Society for Human Resource Management defines the formula as total internal and external recruiting costs divided by total hires in a given period.
Cost per Hire = (Internal Recruiting Costs + External Recruiting Costs) / Number of Hires
Internal costs cover recruiter time and internal tools. External costs cover agency fees, job postings, background checks, and relocation.
Why it matters
Without this number, you can’t compare hiring channels honestly. A staffing agency that charges more per placement might still cost less overall if it fills roles faster and reduces the internal recruiter hours you’d otherwise burn chasing resumes.
If you don’t know your cost per hire, you can’t tell a good deal from a bad one.
Leadership also uses this metric to justify or cut budget. If your cost per hire climbs while quality of hire drops, that’s a signal something in your process is broken, not just expensive.
How to improve it
Audit every line item feeding into the calculation and cut what doesn’t correlate with better hires:
- Consolidate job board spend to the two or three sources that actually convert.
- Negotiate flat-fee or retained arrangements with staffing partners instead of paying per-placement premiums.
- Reuse your talent network rather than posting cold every time a role opens.
Lower cost per hire only counts as a win if quality holds steady.
3. Quality of hire
What it measures
Quality of hire tells you whether the people you bring in actually perform once they’re on the job, not just whether they filled a seat. It blends performance reviews, manager satisfaction, and how long a new employee sticks around before you’re back to square one. Among talent acquisition KPIs, this is the one that separates a recruiting team that fills requisitions from one that builds a workforce.
How to calculate it
Most teams build a composite score using a weighted average of a few inputs, since no single number captures job performance on its own.
Quality of Hire Score = (Performance Rating x 0.4) + (Manager Satisfaction x 0.3) + (90-Day Retention x 0.3)
Adjust the weights to match what your business values most. A manufacturing client focused on safety compliance might weight performance heavier than a startup optimizing for cultural fit.
Why it matters
Leaders often chase speed and cost while ignoring whether the hire actually works out. That’s backwards.
A fast, cheap hire who quits in four months costs more than a slow, careful one who stays for years.
Tracking quality of hire forces a conversation between recruiting and hiring managers about what "good" actually looks like for a given role, which usually sharpens job descriptions and interview questions too.
How to improve it
Start collecting manager feedback at the 30, 60, and 90-day marks instead of waiting for an annual review. Standardize your interview scorecards so every candidate gets evaluated against the same criteria, not a gut feeling. Partner with a staffing firm that vets technical skills before submitting candidates, so you’re not relying on resume keywords alone to predict on-the-job performance.
4. Candidate experience score
What it measures
Candidate experience score captures how people feel about your hiring process from application to final decision, whether they get the job or not. It rolls up survey responses, response times, and communication quality into a single number that tells you if your process treats candidates like people or like ticket numbers. Among talent acquisition KPIs, this one predicts your employer brand’s reputation before a single review hits Glassdoor.
How to calculate it
Survey candidates right after they receive a decision, using a simple 1-5 or Net Promoter Score style question like "How likely are you to recommend applying here to a friend?"
Candidate Experience Score = (Sum of Survey Ratings) / (Number of Respondents)
Segment results by stage, since a candidate rejected after round one and one rejected after a final interview have very different experiences worth measuring separately.
Why it matters
Rejected candidates talk. Every applicant is also a potential customer, referral source, or future hire, and a bad experience travels through Glassdoor and LinkedIn faster than most companies realize.
Every candidate you reject is a future customer, referral, or employee, depending on how you treated them.
Technical talent especially compares notes in tight-knit communities, so one clunky interview process can quietly poison your pipeline for months.
How to improve it
Respond to every applicant within 48 hours, even with a simple acknowledgment. Give feedback after interviews instead of ghosting candidates who made it to round two or three. Simplify your application, since a 45-minute form kills conversion before you ever see a resume. Working with a staffing partner who manages candidate communication professionally, like Aristek does across every placement, keeps this score consistent even when internal teams are stretched thin.
5. Offer acceptance rate
What it measures
Offer acceptance rate tracks the percentage of job offers that candidates actually accept versus decline. It’s a blunt but honest signal of whether your compensation, process, and reputation line up with what candidates expect once they reach the finish line. Among talent acquisition KPIs, this one tells you if the problem sits upstream in sourcing or right at the closing table.
How to calculate it
Divide accepted offers by total offers extended over a given period, then multiply by 100 to get a percentage.
Offer Acceptance Rate = (Accepted Offers / Total Offers Extended) x 100
Track this by role level and department too. A dip in acceptance among senior engineers means something different than a dip among entry-level support staff.
Why it matters
A low acceptance rate wastes everything upstream of it, the sourcing hours, the interview rounds, the hiring manager’s time. If you’re closing below 85 percent, you’re likely losing candidates to counteroffers, slow internal approvals, or a compensation package that doesn’t match market reality.
A dropping offer acceptance rate is rarely about the candidate, it’s about your process or your pay.
This metric also flags credibility problems. Recruiters who oversell a role or misrepresent day-to-day work create a mismatch that surfaces exactly when the offer lands.
How to improve it
Benchmark salary ranges quarterly against current market data instead of last year’s numbers. Have hiring managers, not just recruiters, deliver verbal offers so candidates hear enthusiasm directly from the team. Shorten the gap between final interview and offer letter, since delays give competitors room to swoop in with a faster yes.
6. Source of hire effectiveness
What it measures
Source of hire effectiveness tells you which channels, whether that’s job boards, referrals, or a staffing partner’s network, actually produce hires who stay and perform, not just candidates who apply. Among talent acquisition KPIs, this one redirects your budget away from channels that generate volume but no results toward the ones that quietly deliver your best people.
How to calculate it
Compare hires, retention, and performance by source, then weigh cost against outcomes rather than raw application counts.
Source Effectiveness = (Hires from Source / Total Applicants from Source) x Retention Rate at 90 Days
| Source | Applicants | Hires | 90-Day Retention |
|---|---|---|---|
| Job boards | 400 | 8 | 62% |
| Employee referrals | 60 | 12 | 91% |
| Staffing partner network | 90 | 20 | 88% |
Why it matters
Budgets get wasted when teams keep funding channels out of habit instead of evidence. Referrals and vetted networks routinely outperform open job boards on both retention and performance, yet many companies still pour the biggest share of spend into boards because the applicant volume feels productive.
A channel that produces the most applicants rarely produces the best hires.
How to improve it
Tag every candidate with a source at intake so your data stays clean from day one. Kill channels that consistently underperform on retention, even if they’re cheap per application. Lean harder on employee referrals and a staffing partner with a pre-vetted talent pool, since both shortcuts skip the noise that clogs open job boards.
7. New hire retention rate
What it measures
New hire retention rate tracks the percentage of employees who stay past a defined milestone, usually 90 days or one year, after their start date. It’s the metric that catches every KPI you tracked earlier and either validates them or exposes them as noise. A team can hit fast time to hire and strong offer acceptance rate numbers and still bleed talent within a quarter if the fundamentals underneath were shaky.
How to calculate it
Divide employees still active at your chosen milestone by total hires from that same period, then multiply by 100.
New Hire Retention Rate = (Employees Retained at Milestone / Total New Hires) x 100
Run this at 90 days, 6 months, and 12 months separately, since early departures usually point to different problems than late ones.
Why it matters
Early attrition is expensive and it’s rarely random. According to the Bureau of Labor Statistics, turnover costs compound fast when you factor in lost productivity, retraining, and the vacancy left behind. A pattern of early exits almost always traces back to a mismatch in job expectations, onboarding gaps, or a manager who never got proper support.
Retention is the only KPI that proves the other nine actually worked.
How to improve it
Build a structured 30-60-90 day onboarding plan instead of leaving new hires to figure things out. Assign a mentor separate from the direct manager, since new hires open up more honestly to peers. Ask exit interview questions even for voluntary departures inside the first year, then feed those answers back into your interview process.
Putting these KPIs to work
Seven metrics won’t fix a broken process overnight, but they will tell you exactly where it’s broken. Start by picking the two or three talent acquisition KPIs that map to your biggest current pain, whether that’s slow time to hire or early attrition, and build your dashboard around those before chasing all ten at once. The goal isn’t a prettier spreadsheet, it’s fewer stalled requisitions and fewer new hires walking out the door at month three.
You don’t have to build this scorecard alone. Aristek tracks these same numbers across every technical placement we make, which is part of why our clients see a 98 percent retention rate instead of the industry average. If your team is buried under open reqs and shaky retention numbers, talk to our team about how we close that gap faster than an internal hire alone usually can.
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