CALCULATE YOUR HIRING ROI WITH WORKSCREEN.IO

We calculate ROI based on:
🚀Time saved on resume screening & interviews
💰Cost saved from eliminating bad hires
⚡ Hiring efficiency gained with AI-powered automation

Our formula considers:
✅ Number of hires
✅Pay per employee
✅Applicant volume

This gives you real, measurable benefits and a clear cost-saving breakdown.

Recruitment ROI = The value of a great hire – The total cost of hiring and retaining them.

🔹Value of a great hire → Productivity, revenue impact, and retention
🔹Hiring costs → Job ads, recruitment tools, interviews, salaries, and benefits

💡With WorkScreen.io, you reduce wasted hiring costs and speed up time-to-hire, instantly increasing your ROI.

We achieve this by:
✅ Saving time on screening → Eliminating bad applicants early
✅ Reducing hiring costs → Avoiding mis-hires and unnecessary interviews
✅ Speeding up hiring → Ensuring only the most qualified candidates reach you

Good recruitment performance is measured by:

✅Time to hire → How long it takes to fill a position
✅ Quality of hire → The effectiveness and retention of new hires
✅ Cost per hire → How much it costs to bring in a new employee
✅ Turnover rate → How many new hires leave within a short time

💡With WorkScreen.io, you improve all these metrics by filtering out unqualified candidates before they waste your time.

Manual screening is outdated, and many traditional ATS systems fail to eliminate bad applicants. WorkScreen.io automates hiring so you can:

🚀Cut resume screening time by 80% → No more reviewing unqualified candidates
🚀Reduce mis-hires by 80% → Fewer hiring mistakes = lower costs
🚀Speed up hiring by 50% → Get top talent faster than ever
✔ Cut hiring costs by 50% → Fewer interviews, lower recruitment expenses

💡The result? Faster, cheaper, and higher-quality hiring—all with AI-powered automation.

Recruitment ROI (Return on Investment) measures how efficient and cost-effective your hiring process is.

✅High ROI → Less time and money spent while hiring top talent
❌ Low ROI → Wasted time, bad hires, and high turnover

💡WorkScreen.io increases your hiring ROI by ensuring you only interview the best candidates.

Recruitment success rate = (Number of successful hires) ÷ (Total hires made) × 100

The higher the percentage, the more successful your hiring process is.

With WorkScreen.io:
🚀More qualified candidates = Higher success rate
🚀Fewer mis-hires = Lower hiring costs
🚀Faster screening = Less wasted time

💡Want better hiring results? Get started with WorkScreen.io today!

To get the highest ROI, you need to:

✔Automate pre-screening → Instantly remove unqualified applicants
✔ Reduce time spent on manual screening → AI-powered filtering
✔ Avoid hiring the wrong candidates → Eliminate bad applicants early
✔ Speed up hiring → Automate assessments and applicant evaluation
✔ Reduce bad hires → Prevent costly hiring mistakes

💡With WorkScreen.io, you achieve all this effortlessly.

1️⃣ Global Average Bad Hire Rate (46%)

• Research by Leadership IQ found that 46% of new hires fail within 18 months, meaning nearly half of all hires are a poor fit for the role.
• Source: Mondo – Why New Hires Fail

2️⃣ WorkScreen.io Eliminates 80% of Bad Hires

• On average, WorkScreen.io removes 80% of potential bad hires from your pipeline, allowing you to focus only on the most qualified candidates.
• This means fewer unnecessary resume screenings, applicant evaluations, and interviews, saving significant time and money.

3️⃣ The Cost of a Bad Hire

• According to the U.S. Department of Labor, a bad hire costs 30% of their annual salary due to lost productivity, rehiring costs, and training expenses.
• Source: Business.com – Cost of a Bad Hire

👉Example: If an employee earns $50,000 per year, a bad hire could cost $15,000 in losses.
👉If a company hires 10 employees, and 46% of them are bad hires, the potential loss is $69,000.

Since WorkScreen.io eliminates 80% of these bad hires, it significantly reduces hiring costs while improving retention and productivity.

4️⃣ Time Spent on Manual Applicant Screening

• Reviewing resumes, checking application answers, and conducting initial screenings varies significantly depending on the role and recruiter.

✅Resume Screening (6-90 seconds per applicant)

• Recruiters typically review 40-80 resumes per day.
• The average time spent per resume is 6-8 seconds, but this is just an initial glance.
• Deeper screening for qualifications, experience, and red flags takes up to 90 seconds per applicant.
• Source: Standout CV – Resume Screening Time

✅Checking Application Answers & Pre-Screening Tasks (5-10 minutes per applicant)
Recruiters don’t just scan resumes—they perform additional pre-screening tasks, such as:

• Contacting the applicant before an interview (5-15 minutes per applicant)
• Verifying details in the application (skills, work experience, and answers to screening questions)
• Assessing cultural fit & soft skills from cover letters or written responses

✅Social Media & Background Checks (20-30 minutes per applicant, if applicable)

• Some recruiters conduct a social media screening to verify applicant credibility.
• Background checks (criminal, employment, or credit history) can take 20-30 minutes per applicant if done manually.
• Source: Stratus HR – Recruiting Task Time Breakdown

✅Total Time for Pre-Screening Applicants
Based on industry benchmarks, a recruiter spends:

• 6-90 seconds on resume scanning
• 5-10 minutes evaluating answers, skills, and work experience
• 5-15 minutes on applicant pre-screening tasks
• (Optional) 20-30 minutes for social media or background checks

So, How Much Time Does Manual Screening Really Take?

The time taken to manually evaluate applicants varies widely depending on their qualifications:

✅ Spammy or unqualified applicants can often be identified within 10-30 seconds before being dismissed.

✅ More promising applicants require a deeper review of their experience, skills, and responses, sometimes taking up to 30 minutes to assess properly.

✅ On average, across all applicants, we assume 5 minutes per applicant for a balanced estimate of the manual pre-screening process.

This average screening time accounts for both quick eliminations and detailed evaluations, ensuring a realistic and fair calculation of time savings when using WorkScreen.io.

5️⃣ Full Transparency: Formulas Used in ROI Calculation

Below are the exact formulas used to calculate the averagemanual screening time, total time savings, and total cost savings when using WorkScreen.io.

1️⃣ Formula for Manual Pre-Screening Time Calculation

Total Screening Time = (Number of Bad Applicants × Time Per Bad Applicant) + (Number of Good Applicants × Time Per Good Applicant)

Where:

• Bad Applicants = 90% of total applicants
• Good Applicants = 10% of total applicants
• Time Per Bad Applicant = 25 seconds (0.42 minutes)
• Time Per Good Applicant = 30 minutes

Average Screening Time Per Applicant = Total Screening Time ÷ Total Number of Applicants

Example Calculation for 100 Applicants:

Total Time for Bad Applicants = (100 × 90%) × 0.42 = 37.8 minutes
Total Time for Good Applicants = (100 × 10%) × 30 = 300 minutes
Total Screening Time = 37.8 + 300 = 337.8 minutes
Average Screening Time Per Applicant = 337.8 ÷ 100 = 3.38 minutes

Since this doesn’t account for additional steps like application checks and deeper screening, we round up to 5 minutes per applicant for a balanced estimate.

2️⃣ Formula for Total Time Savings

Total Time Saved = (Number of Applicants× Average Screening Time Per Applicant)

Where:

• Number of Applicants = Total applicants received per job post
• Average Screening Time Per Applicant = 5 minutes

Example Calculation for 100 Applicants:

Total Time Saved = (100 Applicants × 5 Minutes)
= 500 Minutes = 8.33 hourssaved per job in Manual Prescreening

3️⃣ Formula for Total Cost Savings

Total Cost Savings = (Average Salary × 30%) × (Bad Hire Rate × Number of Hires) × (Percentage of Bad Hires Eliminated)

Where:

• Average Salary = User-input salary
• 30% = Cost of a bad hire (based on U.S. Department of Labor data)
• Bad Hire Rate = 46% (Leadership IQ study)
• Number of Hires = Total number of hires user inputs
• Percentage of Bad Hires Eliminated = 80% (WorkScreen.io reduction)

Example Calculation for 10 Hires with a $50,000 Salary:

($50,000 × 30%) × (46% × 10) × 80%
= ($15,000) × (4.6) × 0.8
= $55,200 saved

6️⃣ Why This Matters for WorkScreen.io Users

💡With WorkScreen.io:

• 80% of bad applicants are removed instantly, saving recruiters significant time per applicant.
• This time savingscompounds across multiple roles, cutting hiring costs and making the process more efficient.
• Intelligent Applicant Scoring ranks candidates on a leaderboard from best to least qualified, allowing you to quickly identify the top potential talent and minimize the risk of a bad hire.