--- title: "Recruiting Metrics: 15 KPIs and How to Track Them | Findem" description: "See 15 recruiting metrics with formulas, from time to fill and cost per hire to quality of hire, plus how to build a recruiting dashboard and pick KPIs." url: "https://www.findem.ai/blog/recruiting-metrics" --- # Recruiting metrics: 15 KPIs to track, with formulas ← Back to blog Austin Belisle Director, Web and Content November 2, 2026 **Recruiting metrics are the numbers a talent team uses to measure how fast, how well, and at what cost it hires.** The core set covers speed (time to fill, time to hire), sourcing and pipeline health (source of hire, response rates, stage conversion), quality (quality of hire, new hire retention), cost (cost per hire), and the close (offer acceptance, candidate experience). Tracked together on one recruiting dashboard, they show where hiring slows down, which channels work, and whether the people you hire go on to succeed. Below are 15 recruiting KPIs grouped by category, each with what it measures, how to calculate it, and why it matters, followed by how to build a recruiting dashboard and choose your KPIs. ## Recruiting metrics vs recruiting KPIs "Recruiting metrics", "recruitment metrics", and "hiring metrics" mean the same thing. The useful line is between metrics and KPIs. A metric is anything you can count, such as applicants per opening. A KPI is a metric you have chosen to manage to, with an owner, a written definition, and a target. Your ATS can report dozens of metrics. We suggest running on no more than five or six KPIs; the rest help explain why a KPI moved. ## The 15 recruiting metrics at a glance | Metric | Category | What it tells you | | --- | --- | --- | | 1. Time to fill | Speed | How long a seat stays empty | | 2. Time to hire | Speed | How fast your process moves once you find someone | | 3. Time in stage | Speed | Where the time goes | | 4. Source of hire | Sourcing and pipeline | Which channels produce hires | | 5. Outreach response rate | Sourcing and pipeline | Whether sourced candidates reply and show interest | | 6. Stage conversion rate | Sourcing and pipeline | Where candidates drop out | | 7. Hiring manager acceptance rate | Sourcing and pipeline | Whether recruiters present the right people | | 8. Quality of hire | Quality | The value new hires bring | | 9. New hire retention | Quality | Whether new hires stay | | 10. Hiring manager satisfaction | Quality | How your internal customers rate the process and hires | | 11. Cost per hire | Cost and capacity | What each hire costs | | 12. Open requisitions per recruiter | Cost and capacity | Whether workload is realistic | | 13. Offer acceptance rate | Offer and candidate experience | How well you close | | 14. Candidate experience score | Offer and candidate experience | How candidates rate the process | | 15. Application completion rate | Offer and candidate experience | Whether your apply flow loses people | ## Speed metrics ### 1. Time to fill Time to fill measures how many days a role stays open, from the day the requisition is approved or opened to the day a candidate accepts the offer. **How to calculate it.** Time to fill = offer accepted date minus requisition open date. Average it across the roles closed in a period. Definitions vary: some teams start the clock at approval and others at posting, and some stop it at the start date instead of offer acceptance. Pick one version and write it down. **Why it matters.** It tells hiring managers and finance how long a seat will stay empty, which is what headcount plans depend on. Report it by role family, not as one company-wide average. ### 2. Time to hire Time to hire measures how quickly a candidate moves through your process once they are in it. **How to calculate it.** Time to hire = offer accepted date minus the date the hired candidate entered your pipeline, whether they applied or were sourced. Average it across hires in a period. **Why it matters.** Read it next to time to fill. If time to fill is long but time to hire is short, the delay is in finding the right candidates. If both are long, the process itself is slow. ### 3. Time in stage Time in stage measures the average number of days candidates spend at each step: screening, hiring manager review, interviews, offer. **How to calculate it.** For each stage, time in stage = total days spent in the stage by candidates who left it during the period, divided by the number of those candidates. **Why it matters.** Totals hide where the time goes. Stage-level data shows the bottleneck, such as profiles waiting a week for hiring manager review, and separates the time recruiters control from the time they don't. ## Sourcing and pipeline metrics ### 4. Source of hire Source of hire measures where your hires come from: inbound applicants, candidates rediscovered in your ATS, referrals, employee connections, alumni, agencies, and external sourcing. **How to calculate it.** Source of hire share = hires from a channel ÷ total hires × 100, for a set period. **Why it matters.** It shows which channels actually produce hires, not just applicants. Add cost and quality by channel, because the channel with the most hires is not always the one with the best return. ### 5. Outreach response rate For candidates you contact directly, outreach response rate measures how many reply and how many show interest in the role. **How to calculate it.** Reply rate = candidates who replied ÷ candidates contacted × 100. Interest rate = candidates who expressed interest ÷ candidates contacted × 100. Many teams also track time to reply. **Why it matters.** Response rates move within days, so they are an early sign of whether a search is on track. Comparing them by recruiter, role, team, and location shows which messages and tactics work. ### 6. Stage conversion rate Stage conversion rate, also called pass-through rate, measures the share of candidates who move from one stage to the next. **How to calculate it.** Stage conversion rate = candidates advanced to the next stage ÷ candidates who entered the stage × 100. Multiply the stage rates together, or divide hires by candidates who entered the funnel, for an overall conversion rate. **Why it matters.** It shows where candidates drop out and points to the cause. Low conversion after the recruiter screen can mean sourcing is aimed at the wrong profile. Low conversion after final interviews can mean interviewers are not calibrated. Our overview of [talent acquisition stages](https://www.findem.ai/blog/what-is-talent-acquisition-stages-tips-and-strategies) covers the funnel these rates sit on. ### 7. Hiring manager acceptance rate Hiring manager acceptance rate measures how many of the candidates a recruiter presents the hiring manager agrees to move forward. As Ronnie Bratcher puts it in our post on [the one talent acquisition metric that matters most](https://www.findem.ai/blog/talent-acquisition-metrics): "If you sent 10 people to the hiring manager, did they accept 9 to move to the next steps?" **How to calculate it.** Hiring manager acceptance rate = candidates the hiring manager accepts for the next step ÷ candidates submitted × 100. The same calculation works for the handoff from sourcer to recruiter. **Why it matters.** It is a recruiting-focused measure. It shows whether recruiters understood the role and found people who fit it, without penalizing them for how long managers take to make decisions or give feedback. ## Quality metrics ### 8. Quality of hire Quality of hire measures the value new hires bring after they start. It is hard to measure because there is no single standard formula. **How to calculate it.** A common approach is a composite score. Choose a few indicators measured at a fixed point after the start date, such as performance rating, time to productivity, hiring manager satisfaction, and retention. Put each on the same scale, for example a percentage, then average them: quality of hire = sum of indicator scores ÷ number of indicators. **Why it matters.** Speed and cost tell you how efficiently you hired, not whether you hired the right person. Quality of hire connects recruiting to business results. Our guide to [measuring quality of hire](https://www.findem.ai/blog/measuring-quality-of-hire) covers frameworks in more depth, including pre-hire and post-hire indicators, retention checks at 30 days, 90 days, and 12 months, and a simple question for managers: would we hire this employee again? ### 9. New hire retention New hire retention measures how many people hired in a period are still with you after a set time, often 90 days or one year. **How to calculate it.** New hire retention = new hires still employed after N months ÷ new hires who started in the period × 100. Early attrition is the reverse: 100 minus the retention rate. **Why it matters.** Early departures often point back to recruiting: a role described differently from how it works, a level mismatch, or a rushed decision. Many teams use retention as a stand-in for quality of hire while performance data builds up. ### 10. Hiring manager satisfaction Hiring manager satisfaction measures how your internal customers rate the recruiting process and the people hired. **How to calculate it.** Send a short survey after each hire, and again a few months later. Report the average score, or the share of managers who rate the process 4 or 5 on a 5-point scale. **Why it matters.** Managers often notice problems before they show up in quality or retention data. ## Cost and capacity metrics ### 11. Cost per hire Cost per hire measures the average amount you spend to make one hire. **How to calculate it.** Cost per hire = (internal recruiting costs + external recruiting costs) ÷ total hires in the period. Internal costs include the pay of your recruiting team and the tools they use. External costs include agency fees, job advertising, events, and referral bonuses. Our guide on [how to calculate recruitment cost per hire](https://www.findem.ai/blog/how-to-calculate-recruitment-cost-per-hire) walks through this standard formula and the costs behind each recruiting approach. **Why it matters.** Break it down by channel and role family to see where spend goes, and read it next to quality of hire and retention. A cheap hire who leaves in three months is not cheap. ### 12. Open requisitions per recruiter Open requisitions per recruiter measures recruiter workload at a point in time. **How to calculate it.** Open requisitions per recruiter = open requisitions ÷ number of full-time recruiters, measured on the same day each month. **Why it matters.** It explains changes in the other metrics. When time to fill rises or hiring manager acceptance falls, workload is often part of the story. There is no universal right number, so compare within role types. ## Offer and candidate experience metrics ### 13. Offer acceptance rate Offer acceptance rate measures how many of the offers you extend are accepted. **How to calculate it.** Offer acceptance rate = offers accepted ÷ offers extended × 100. **Why it matters.** A falling rate points to compensation, timing, or a gap between what candidates heard during interviews and what the offer says. Record the reason for every declined offer. ### 14. Candidate experience score Candidate experience score measures how candidates rate your process, including those you don't hire. **How to calculate it.** Send a short survey after key stages and report the average rating. Some teams use a net promoter style question instead: the share of candidates who score 9 or 10 minus the share who score 0 to 6 on how likely they are to recommend applying. **Why it matters.** Candidates share their experience with peers. Comments from rejected candidates often point to specific fixes, such as slow updates or unclear next steps. ### 15. Application completion rate Application completion rate measures how many people who start an application finish it. **How to calculate it.** Application completion rate = applications submitted ÷ applications started × 100. You will need analytics on your careers site or apply flow to count starts. **Why it matters.** Long or broken application forms lose candidates before your team ever sees them. Check the rate on mobile separately, and after any change to your forms or ATS. ### A note on fairness Many teams also compare stage conversion rates across candidate groups to check that each step treats candidates consistently. If you do, collect demographic data voluntarily, keep it out of individual hiring decisions, and agree on the approach with your HR and legal teams first. ## How to build a recruiting dashboard A recruiting dashboard puts your chosen metrics in one view. Different people need different slices of it. | Audience | Question they ask | Metrics to show | | --- | --- | --- | | Executives and finance | Will we hire the people we planned for, and at what cost? | Hires against plan, time to fill by role family, cost per hire, quality of hire or new hire retention | | Talent acquisition leaders | Where is the process stuck, and where should we invest? | Source of hire, stage conversion rate, time in stage, open requisitions per recruiter, offer acceptance rate | | Recruiters and sourcers | Is my search on track this week? | Outreach reply and interest rates, hiring manager acceptance rate, time in stage for their requisitions | | Hiring managers | When will I have someone? | Pipeline by stage for their roles, time in stage including their own review time, hiring manager satisfaction | A few principles keep a recruiting dashboard useful: - **Mix leading and lagging metrics.** Quality of hire and retention take months to arrive. Response rates, stage conversion, and hiring manager acceptance move within weeks, so they tell you whether to change course while there is still time. - **Use one set of definitions.** Write down when each clock starts and stops and which system is the source of record. - **Make every metric filterable** by role family, recruiter, team, location, and channel. - **Show medians as well as averages.** One requisition that stayed open for a year can pull an average far from what most roles experience. - **Track adoption when you roll out a new tool.** Early activity metrics, such as user engagement, time to first contact, and candidates contacted, show whether new workflows are taking hold before hiring outcomes arrive. Our post on [sourcing analytics for talent acquisition](https://www.findem.ai/blog/sourcing-analytics-for-talent-acquisition) explains how these early metrics work. ## How to choose the right recruiting KPIs Tracking all 15 metrics as KPIs would spread attention too thin. These steps help you narrow the list: 1. **Start with the business question.** If the risk is missing a hiring plan, lead with time to fill. If the concern is early attrition, lead with quality of hire and retention. 2. **Pick one KPI per category.** One each for speed, pipeline, quality, cost, and the close gives you five or six numbers that cover the whole process. 3. **Pair metrics that pull against each other.** Read time to fill with quality of hire, and cost per hire with new hire retention, so improving one does not quietly damage the other. 4. **Hold people to what they control.** Recruiters control the slate they present more than how fast a manager decides, which is why hiring manager acceptance rate works well as a recruiter KPI. 5. **Set baselines from your own data.** Measure a few months of current performance before you set targets. 6. **Review on a rhythm.** Look at leading metrics weekly or monthly, and revisit which KPIs you track each quarter. A reasonable starting set: time to fill, stage conversion rate, hiring manager acceptance rate, offer acceptance rate, cost per hire, and quality of hire, with new hire retention standing in until quality data matures. ## How Findem helps you track sourcing and recruiting metrics Sourcing data often lives across disconnected tools, which makes channels hard to compare. Findem, the People Intelligence Platform, brings it together in [Talent Analytics](https://www.findem.ai/products/talent-analytics-sourcing). - **Channel performance.** Compare every sourcing channel, including inbound, ATS rediscovery, referrals, employee connections, alumni, and external search, and see which ones generate engagement, interest, and applications. - **Outreach analytics.** See reply rate, interest rate, and time to reply, and compare outcomes by recruiter, role, team, and location. - **Right start analytics.** Follow early activity like searches created, campaigns launched, and time to first outreach, so leaders can see whether workflows are taking hold from day one. ATS reports and BI dashboards show what happened after the fact. Talent Analytics is designed to guide action while work is happening, helping leaders see early adoption, compare sourcing effectiveness, and improve outreach before inefficiencies scale. [See how Findem Talent Analytics shows what's working across sourcing and engagement.](https://www.findem.ai/products/talent-analytics-sourcing) ## Recruiting metrics FAQ ### What are recruiting metrics? Recruiting metrics are the numbers a talent team uses to measure how fast, how well, and at what cost it hires. Common examples are time to fill, time to hire, source of hire, stage conversion rate, offer acceptance rate, cost per hire, and quality of hire. The same set is also called recruitment metrics or hiring metrics. ### What are the most important recruiting KPIs? No single list fits every team. A common approach is one KPI per area: time to fill for speed, stage conversion rate and hiring manager acceptance rate for pipeline health, quality of hire or new hire retention for quality, cost per hire for cost, and offer acceptance rate for the close. ### What is the difference between time to fill and time to hire? Time to fill counts the days from when a requisition is approved or opened to when a candidate accepts the offer, so it covers the whole search. Time to hire counts the days from when the hired candidate entered your pipeline, by applying or being sourced, to when they accepted. ### How do you calculate cost per hire? Add your internal recruiting costs, such as recruiting team pay and benefits and recruiting tools, to your external recruiting costs, such as agency fees, job advertising, events, and referral bonuses, for a set period. Then divide by the total number of hires in that period. ### What should a recruiting dashboard include? A recruiting dashboard should show hiring progress against plan, speed (time to fill and time in stage), pipeline health (source of hire, outreach response rates, and stage conversion), quality (quality of hire or new hire retention), cost per hire, and offer acceptance rate. It should filter by role family, recruiter, location, and channel. ## Recommended next reads October 28, 2026 ### [How to hire without a recruiter or an ATS](https://www.findem.ai/blog/how-to-hire-without-a-recruiter) Austin Belisle October 28, 2026 ### [Fetcher alternatives after the shutdown (2026)](https://www.findem.ai/blog/fetcher-alternatives) Austin Belisle October 23, 2026 ### [What people leaders said at The People People Summit 2026](https://www.findem.ai/blog/people-people-summit-2026-takeaways) Elan Keshen