A company’s attrition rate is the rate at which people leave. To calculate it, we divide the number of people who have left the company, by the average number of employees over a period of time. Early attrition is the % of people who leave within a specific period of time.
Early attrition is the percentage of new hires who leave within a defined period typically the first 30, 60, or 90 days. It is calculated as:
Early Attrition Rate = (Number of employees who left within the period ÷ Total new hires in the same period) × 100
Consider this example: 100 people joined in the past 90 days and 20 left in the same period.
Early Attrition Rate = (20 ÷ 100) × 100 = 20%
There are four types of attrition worth tracking separately:
| Type of Attrition | What It Means |
|---|---|
| Voluntary | Employee leaves by their own choice |
| Involuntary | Employee is let go by the organization |
| Internal | Employee moves to another department |
| Demographic-specific | A specific group leaves at a disproportionate rate |
The most common type is voluntary attrition, followed by involuntary attrition and internal attrition. Demographic-specific attrition is the least common one. Employee retention rate is a big challenge that HR departments in volume hiring companies face.
A high attrition rate indicates that employees are leaving your company too quickly. This rate will vary based on the size of the company & industry. In banking, BPOs, insurance, financial institutions, retail, etc, the early attrition is usually high. But that doesn’t mean it should be accepted as a norm.
Reducing attrition leads to
1) Timely delivery of projects leading to company growth
2) Boost in employee productivity as less time is spent training new hires
3) Attracting talented employees because a low attrition rate will build a positive reputation in the industry
4) Increasing employee satisfaction as a result of correct expectations, proper goal setting, etc.
Here are three interesting stats about referrals that relate to retention:
1) 45% of referral hires stay longer than four years, compared to only 25% of job board hires.
2) Employees who refer others also stay 20% longer than employees who don't refer.
3) 88% of employers rate employee referral programs as the best source of applicants they want to retain for long.
(source)
If you are hiring via only job boards, agencies, or campus drives you are losing out on the benefits of referrals. Referred candidates usually fit your culture very well as they know about the company through their friends beforehand, they are excited to work with their friends and usually don't want to disappoint their friends by leaving the company pretty quickly.
On the other hand, people who refer stay for as long as they believe in the company's mission, values, and work. That is what would have prompted them to refer others. To stay consistent with their ideology, they would stay with the company longer than people who don't refer others.
Setting up a referral program is not complicated if you use the right technology and create excitement amongst employees about it.
Mis-alignment between what the candidate expected vs what the work actually entails and looks like leads to distrust and high attrition.
When your company is trying to hire hundreds of people per week, the process is rushed which leaves no room for setting the right expectations. The information generally flows one way from the candidate to the employers. Employers are so busy collecting the information that they forget to talk about the company, job type, working culture, etc. Regional HR (RHR) systems of handling recruitment also create dissonance between expectations and the actual job.
To manage candidate expectations better, hiring managers should reserve some time in the interview to give a clear, honest picture of what the job requires. It’s beneficial to highlight the not-so-great aspects of the job that have demotivated others in the past. Write the goals associated with the role and what it would take to achieve those. Hire only the candidates who align on achieving those goals, without shying away from hard work.
If the candidates pass through the hiring manager interview stage, you can educate them once more at the offer letter stage. It would be a great opportunity to talk about the company's culture, demographic, locations, remunerations, leave policy, etc. so that other expectations other than the actual work are also aligned.
In most volume hiring operations, hiring managers make decisions based on gut feel and a loosely consistent set of questions. Two managers interviewing for the same role will assess candidates against different criteria, weight different signals, and make different decisions without a shared standard for what a good long-term fit looks like.
A structured assessment kit changes this. It does not replace the hiring manager's judgment it channels it toward the signals that actually predict whether a candidate will stay.
The kit should include:
The assessment kit also protects the hiring manager. In high-volume environments, the talent acquisition team is often blamed for early attrition. A structured kit creates a shared record of what was asked, assessed, and decided -- so the analysis of why someone left in week six is based on data, not memory.
Doing background verification is a huge task requiring employment verification, reference check, educational check, confirmations, going through records, etc. On top of that, it's not very cheap to hire third-party agencies for background verification when you are hiring at scale. A huge number of fake candidates in your system also creates the risk of losing out on talented candidates who get lost in the "sea" of resumes.
At volume thousands of applications per hiring cycle manual verification is not feasible. But that does not mean it should happen after the offer. It should happen before the interview stage, using technology that parses applications for fabricated details, duplicate profiles, and blacklisted candidates automatically.
Shield flags duplicate and fraudulent applications before they reach the interview stage so the verification happens inside the active pipeline, not after an offer has already been made and the team has invested time in the candidate.
Structured onboarding makes employees 69% more likely to stay for three years yet only 12% of employees say their company does onboarding well. enboarder
The gap is specificity : onboarding programs that exist on paper but do not tell a new hire what they are supposed to accomplish in their first week, who they are supposed to meet, or what success looks like at Day 30, Day 60, and Day 90.
Three things that close this gap:
A Day 1 plan with names and outputs. Not a welcome kit. A specific schedule for the first two weeks: who the new hire is meeting, what they are learning, what they are expected to produce. A new hire who knows what their first week looks like arrives with confidence rather than anxiety.
Manager check-ins at 30 and 60 days with a defined agenda. Not a casual conversation but a structured discussion: Is the role what you expected? What is unclear about your goals? What support do you need? These conversations catch early attrition signals while there is still time to act on them.
A 90-day goal agreed before the hire started. When the hiring manager and the new hire align on what success looks like at Day 90 a specific deliverable, a measurable outcome, a defined level of proficiency both sides have a shared reference point. The new hire knows what they are working toward. The manager knows what to support.
LinkedIn's Workplace Learning Report found that 58% of employees who had a strong onboarding experience were still with the company three years later. The hiring practices above reduce the risk of a bad hire. Onboarding determines whether a good hire stays.
Early attrition is not a single department's problem. Talent acquisition, hiring managers, and HR operations are all involved but rarely have a shared view of where things are going wrong or why.
That is a coordination problem as much as a culture problem and it is where technology makes the difference.
RippleHire is the AI ATS where recruiters and agents work together. Employee Referral keeps referral pipelines active at scale. Shield flags fraudulent and duplicate applications before they reach the interview stage. Multi-channel communication maintains post-offer engagement during notice periods so candidates do not go cold before Day 1. The analytics across the platform show where early attrition is concentrated by sourcing channel, role type, or hiring manager so the team knows which specific part of the process to fix.
Book a RippleHire demo and we will show you how referral management, fraud detection, and post-offer engagement work across your hiring volume.
1. What is early attrition and how is it calculated?
Early attrition refers to the percentage of new hires who leave a company within a short time frame typically 30, 60, or 90 days. It’s calculated by dividing the number of employees who left within that period by the total number of new hires, multiplied by 100.
Formula:
Early Attrition Rate = (Number of employees who left / Total number of new hires) x 100
2. Why does early attrition hurt business performance?
High early attrition delays project delivery, increases training costs, demotivates teams, and damages your employer brand. It also creates constant backfilling pressure on HR teams and drives up overall hiring costs.
3. What are the main causes of early attrition in volume hiring industries?
The top causes include misaligned expectations, inadequate onboarding, weak screening, high job stress, and lack of clarity in role requirements. Industries like BPO, BFSI, retail, and logistics are more prone due to the nature and scale of hiring.
4. How can employee referrals reduce early attrition?
Referral hires are more likely to understand the company culture beforehand, stay longer, and perform better. They also come with an implicit endorsement from existing employees, improving retention and productivity.
5. What should hiring managers do to reduce early attrition?
Hiring managers should set clear role expectations during interviews, use assessment kits to match candidates accurately to the job, and participate in structured onboarding processes. Honest conversations upfront lead to better job fit and longer retention.