Recruitment Metrics: 15 KPIs Every HR Team Should Track

Why recruitment metrics are essential for HR teams

Peter Drucker said that "what cannot be measured cannot be managed". In recruitment, this statement is more relevant than ever. Without clear metrics, HR teams operate on intuition — and intuition, however good, does not scale and cannot be systematically optimised.

A LinkedIn study from 2025 shows that only 32% of HR teams actively track more than 3 recruitment metrics. The rest either measure nothing, or limit themselves to the number of candidates and time-to-hire. This lack of visibility means most companies don't know why recruitment takes too long, why candidates abandon the process, or why recent hires don't perform as expected.

Recruitment metrics are not just numbers in a report — they are diagnostic tools. Just as a doctor uses blood tests to identify hidden problems, an HR manager uses KPIs to identify bottlenecks in the recruitment process, justify the department's budget, and demonstrate the strategic impact of the HR function.

In what follows, we'll analyse 15 essential KPIs, grouped into logical categories. For each: what it measures, the calculation formula, the industry benchmark, and practical tips for improvement.

Time metrics: how quickly you recruit

1. Time to Fill

What it measures: The total number of days from when a position is opened to when the candidate accepts the offer. This metric reflects the efficiency of the entire recruitment process, including internal approvals and posting.

Formula: Time to Fill = Offer acceptance date - Position opening date

Industry benchmark: The global average is 36–42 days. In IT, it can reach 50–60 days due to intense competition for talent. In retail and hospitality, the average is 20–25 days. Companies with an optimised ATS report values 30–40% lower than their industry average.

How to improve: Automate job posting to multiple platforms simultaneously, use predefined job templates, and implement a rapid approval workflow for new positions. In Treegarden, multi-platform posting and job templates significantly reduce this metric.

2. Time to Hire

What it measures: The number of days from the candidate's first contact with the company (application or sourcing) to offer acceptance. Unlike Time to Fill, this metric measures the candidate experience and selection process efficiency, not the planning phase.

Formula: Time to Hire = Offer acceptance date - Date of candidate's first interaction

Industry benchmark: 14–28 days is considered optimal. Beyond 30 days, the risk of losing candidates increases exponentially — studies show that 57% of candidates lose interest if the process takes more than 2 weeks without communication.

3. Requisition Aging

What it measures: The number of days a position remains open without being filled. This metric is a warning signal for "forgotten" positions or those where requirements are unrealistic.

Formula: Requisition Age = Current date - Position opening date (for still-active positions)

Industry benchmark: Positions open for more than 60 days require urgent review. Common causes: unrealistic requirements, below-market salary, overly long selection process, or an indecisive hiring manager.

Cost metrics: how much you spend on recruitment

4. Cost per Hire

What it measures: The total cost of recruitment divided by the number of hires. Includes direct costs (job advertising, platform subscriptions, agency fees) and indirect costs (HR team salary allocated to recruitment, interviewer time).

Formula: Cost per Hire = (Internal recruitment costs + External recruitment costs) / Total hires

Industry benchmark: The global average is $4,700, according to the Society for Human Resource Management (SHRM). For executive positions, it can exceed $15,000. Companies typically report $700–$1,800 per hire for entry-to-mid level positions.

5. Source of Hire

What it measures: The distribution of hires by source (own site, LinkedIn, job boards, referrals, agencies). This metric shows where to invest the recruitment budget and where not to.

Formula: % Source = (Hires from source X / Total hires) x 100

Industry benchmark: On average, employee referrals generate the best hires (28% of total), followed by own career sites (24%) and LinkedIn (19%). Recruitment agencies, though costly, remain relevant for niche or executive positions.

Quality metrics: how good your hires are

6. Quality of Hire

What it measures: The performance and retention of new hires after a defined period (usually 6–12 months). It is probably the most important recruitment metric, but also the hardest to measure.

Formula: Quality of Hire = (Performance score + Retention rate + Manager satisfaction score) / 3

Industry benchmark: A score of above 80% (on a normalised scale) indicates good hire quality. Top companies track this metric at 90 days, 6 months, and 12 months after hire.

7. First Year Retention

What it measures: The percentage of new hires who remain with the company after the first year. Low retention indicates issues in the selection process (candidates don't fit the role or culture) or in onboarding.

Formula: First Year Retention = (New hires remaining after 12 months / Total new hires) x 100

Industry benchmark: 85–90% is considered a good target. Below 75%, the recruitment process needs urgent review. The cost of replacing an employee who leaves in the first year is estimated at 50–200% of the annual salary, depending on seniority.

8. Offer Acceptance Rate

What it measures: The percentage of offers accepted out of total offers sent. A low rate indicates problems with the salary package, process duration, or candidate experience.

Formula: Offer Acceptance Rate = (Offers accepted / Offers sent) x 100

Industry benchmark: 85–95%. Below 80%, investigate the reasons for rejection: non-competitive salary, insufficient benefits, overly long recruitment process, or counteroffers from current employers.

Pipeline metrics: how candidates progress through the process

9. Applicants per Opening

What it measures: The average number of candidates who apply for each open position. Indicates the attractiveness of job postings and the efficiency of recruitment channels.

Formula: Applicants per Opening = Total applications / Number of open positions

Industry benchmark: 30–50 candidates per position is considered optimal. Below 20, the posting is not reaching enough candidates (check sources and description). Above 100, the initial filter may be too loose or the role is too generic.

10. Pipeline Conversion Rate

What it measures: The percentage of candidates moving from one stage to the next in the recruitment pipeline (Application → Screening → Interview → Offer → Hire). It is the most useful metric for identifying bottlenecks.

Formula: Conversion Rate Stage X = (Candidates moved to Stage X+1 / Candidates at Stage X) x 100

Industry benchmark: Typical rates are: Application→Screening: 25–30%, Screening→Interview: 50–60%, Interview→Offer: 20–30%, Offer→Hire: 85–95%. A sharp drop at one stage indicates a specific problem at that step.

11. Interview-to-Offer Ratio

What it measures: The number of interviews needed to generate one offer. A high ratio suggests initial screening is not efficient or requirements are unclear.

Formula: Interview-to-Offer Ratio = Total interviews / Offers sent

Industry benchmark: 3:1 to 5:1 is considered efficient. Above 8:1, revise the screening criteria — you are interviewing too many unqualified candidates, consuming time and resources.

12. Rejection Reason Distribution

What it measures: The reasons candidates are rejected, grouped by category (insufficient experience, technical skills, salary expectations, cultural fit, other). This metric identifies patterns that can be corrected.

Formula: % Reason = (Rejections with reason X / Total rejections) x 100

Industry benchmark: If more than 50% of rejections share the same reason (e.g., insufficient experience), the job description or recruitment channels need adjustment. In Treegarden, rejection reasons are automatically recorded when a candidate is moved to the "Rejected" stage, generating distribution reports without manual effort.

Efficiency and satisfaction metrics

13. Recruiter Efficiency

What it measures: The number of hires made by each recruiter in a given period, relative to the number of positions managed. Indicates individual productivity and resource requirements.

Formula: Recruiter Efficiency = Hires made / Positions managed (per recruiter, per month/quarter)

Industry benchmark: An internal recruiter manages an average of 15–25 positions simultaneously and makes 3–5 hires per month. With an automated ATS, productivity can increase by 40–60% thanks to the elimination of repetitive manual tasks.

14. Candidate Satisfaction / NPS

What it measures: The level of candidate satisfaction with the recruitment process, measured through post-process surveys (both for hired candidates and those rejected). The recruitment NPS indicates how well the recruitment process reflects the company's values.

Formula: Recruitment NPS = % Promoters (score 9–10) - % Detractors (score 0–6)

Industry benchmark: A recruitment NPS of +30 to +50 is considered good. Above +50 is excellent. Below +10, the candidate experience needs urgent improvement. Influencing factors: response speed, process transparency, consistent communication, and respect for the candidate's time.

15. Diversity Metrics

What it measures: The demographic distribution of candidates and new hires by relevant criteria (gender, age, ethnicity, geographic location). These metrics are essential for companies with diversity and inclusion objectives.

Formula: % Diversity = (Candidates/Employees from group X / Total candidates/employees) x 100

Industry benchmark: Varies significantly by industry and geography. The important thing is to track the trend over time and compare the distribution of candidates with that of hires — a large discrepancy may indicate bias in the selection process. Treegarden offers EEO (Equal Employment Opportunity) reports for companies with operations in the USA, with anonymised data in accordance with legal requirements.

How to implement an efficient reporting system

Collecting data is only the first step. Transforming it into concrete actions is what differentiates high-performing HR teams from reactive ones. Here is a practical framework:

Step 1: Define the baseline. Before optimising anything, you need to know where you're starting from. Measure each KPI over the last 6–12 months (or since ATS implementation). These initial values are the reference point.

Step 2: Set realistic targets. Based on industry benchmarks and your own baseline, set quarterly objectives. For example: "Reduce Time to Fill by 15% in Q2" or "Increase Offer Acceptance Rate to 90% by year-end".

Step 3: Create a reporting framework. Set reporting frequency (weekly for operational metrics, monthly for strategic metrics, quarterly for full review). Designate who is responsible for each metric and who receives the reports.

Step 4: Analyse and act. Don't just note that Time to Hire has increased — investigate why. Was there a market shift? Are hiring managers delaying feedback? Is the approval process too bureaucratic? Data must generate concrete actions.

Step 5: Iterate. Recruitment metrics are not static. As you optimise one aspect, others become a priority. Review the KPI set quarterly and adapt it to the company's objectives.

How Treegarden simplifies recruitment reporting

One of the biggest challenges of recruitment reporting is data collection. If the HR team has to manually fill in spreadsheets for each metric, reporting becomes a dreaded and often neglected task.

Treegarden solves this problem through automatic data collection at every interaction within the platform. When a candidate applies, the date is recorded. When they move to the next stage, the transition is timestamped. When an offer is accepted or rejected, the reason is captured. All this data automatically feeds the reporting dashboard.

Efficient recruitment reporting is not a luxury for large HR departments — it is an essential tool for any team that wants to recruit better, faster, and more cost-effectively. With a modern ATS like Treegarden, data is collected automatically, and the HR team can focus on what truly matters: interpreting data and continuously improving the process.