SmoothHiring’s predictive hiring software uses psychometric insights to help you hire the right people. Hire smarter and retain top talent.
UNLOCKING CANDIDATE INSIGHTS
A clearer way to understand performance, potential, and what truly drives results.
Some people consistently outperform others. What if you could tap into the full potential of every employee?
Smart hire, solid onboarding — yet one excels and another struggles. Why does this happen?
Most data is about what someone does. But “WHAT” data alone isn’t enough to make confident people decisions.
Leaders combine “WHAT” people do with “WHY” they do it — traits, drives, and potential.
SmoothHiring’s cloud-based predictive hiring platform gives you the WHY data you need to make the best possible people decisions.
SmoothHiring sets up in minutes—no complexity, no delays. From 10 to 10,000 employees, it scales with you effortlessly.
SmoothHiring’s predictive engine is backed by 50 years of research and a proprietary dataset of over 1M profiles.
Get instant clarity on candidate fit, performance potential, and role alignment.
Identify the traits that drive performance and build stronger, more productive teams.
SmoothHiring’s Predictive hiring analytics provides a subtle analysis of applicants’ personality traits. Gain profound insights that go far beyond what resumes reveal.No more guesswork !.
Identify the attributes that distinguish the top candidates for the job. Our analytics help you focus on the traits that truly matter, leading to a productive workforce and improved employee engagement.
Connect candidates to positions with the highest degree of accuracy possible. By highlighting applicants who meet the job requirements, SmoothHiring creates a professional match made in heaven.
By identifying candidates with attributes conducive to success, SmoothHiring contributes to higher retention rates. Foster a stable and engaged workforce that’s in it for the long term.
Harness the power of predictive hiring analytics to forecast an applicant’s potential success within your organization. Make decisions driven by data, setting the stage for a successful hire.
SmoothHiring’s predictive hiring serve as a safeguard against potential candidate misalignments. Avoid hiring people who may not contribute positively to your team dynamics or organizational goals.
SmoothHiring’s patented technology captures your most productive employees’ winning attributes and sets them as a benchmark for new hires. Use the benchmark data to hire more productive employees.
Illuminate clear career pathways within the organization. Make informed decisions about career progression and team building. Furnish leaders with an understanding of the success factors propelling top performers.
Eliminate the financial cost of bad hires with Smoothiring’s patented predictive analytics and intelligent screening. SmoothHiring ensures your resources are channeled wisely, delivering a cost-effective and impactful hiring process.
Predictive hiring software is a technology platform that uses data science, behavioral psychology, and machine learning to forecast — before a hiring decision is made — whether a specific job candidate will succeed, perform at a high level, and remain with the organization long-term in a specific role.
Traditional hiring relies on two inputs: a resume (which tells you what someone has done) and an interview (which tells you how someone presents themselves under pressure). Both inputs are backward-looking and heavily subject to human interpretation bias. Neither reliably predicts future job performance or retention.
Predictive hiring software adds a third and fourth layer that traditional hiring misses entirely:
The WHAT Data Layer (what traditional hiring already captures):
The WHY Data Layer (what predictive hiring uniquely captures):
SmoothHiring’s predictive hiring platform combines both layers — WHAT data from resume and experience analysis, and WHY data from a patented psychometric assessment engine — to generate a comprehensive prediction of each candidate’s likelihood of success before a single interview takes place.
It is 5× more predictive of job success than traditional unstructured hiring methods.
The practical outcome: hiring managers stop making expensive guesses about candidates and start making decisions grounded in objective, scientifically validated predictions. Mis-hires decrease, high performers are identified faster, and the cost of a wrong decision — which the U.S. Department of Labor estimates at up to 30% of an employee’s first-year salary — is dramatically reduced.
SmoothHiring’s predictive hiring accuracy is validated across three independent sources of evidence — not just internal marketing claims:
What “accuracy” means in practice: Predictive hiring accuracy is not binary — it is probabilistic. The system does not guarantee that every hire will be a top performer. It significantly increases the probability that candidates flagged as strong matches will outperform candidates flagged as weak matches — consistently, at scale, across roles. Over time, as the system learns from your specific hiring outcomes, its calibration to your organization’s definition of success improves further.
The practical implication: teams using SmoothHiring make fewer bad hires, spend less time screening weak candidates, and build consistently higher-performing teams — not because the system is infallible, but because it shifts the odds of a good hire dramatically in their favor on every single decision.
Predictive hiring reduces employee turnover by solving the root cause of most early departures — which is not poor skills, but poor fit.
Why most turnover is a fit problem, not a skills problem
When an employee leaves within their first 12–18 months, the most common reasons cited are:
Notice that none of these reasons are “I couldn’t do the job technically.” Skills-based mis-hires are relatively rare. Culture and motivation mis-hires are the silent majority of turnover — and they are completely invisible to resume screening and standard interviews.
How SmoothHiring’s WHY Data Catches These Mis-Hires Before They Happen
SmoothHiring’s patented psychometric assessment evaluates every candidate’s Competency Alignment Score and Personality Fit Quotient — two metrics that measure precisely the behavioral and motivational dimensions that predict culture fit and long-term engagement, not just short-term performance.
A candidate who scores brilliantly on technical competencies but poorly on the Personality Fit Quotient for a specific role is flagged before the offer is made — not discovered 8 months later when they hand in their resignation. A candidate who appears average on paper but whose WHY profile perfectly matches your proven top performers is surfaced to the top of the shortlist rather than being filtered out by keyword matching.
What SmoothHiring Customers Report
Organizations using SmoothHiring’s predictive hiring platform consistently report reductions in first-year turnover after implementing the psychometric assessment layer — because the candidates who join are not just qualified, they are genuinely aligned with the role’s demands, the team’s culture, and the organization’s working environment. They were hired for the right reasons, not just the most visible ones.
The result is not just a better hire. It is a hire who stays, performs, and grows — which is exactly what SmoothHiring’s platform is designed to predict.
Predictive analytics helps organizations identify high-potential candidates, create robust talent pools, and improve recruitment processes. It provides objective visibility into recruitment activities and enables proactive decision-making
Here are a few examples: Google uses predictive analytics to identify top candidates and reduce the number of interviews needed, cutting their hiring time in half.
LinkedIn Recruiter leverages machine learning techniques like Gradient Boosted Decision Trees to match candidates to job openings based on factors like work experience and skills.
Predictive analytics analyzes past data and trends to identify the qualities of successful hires, target the right candidates, and personalize their experiences. This streamlines your funnel, reduces time-to-hire, and gives you a competitive edge ensuring that you’re attracting the right talent pool, not just a big pool.
Many forward-thinking companies across various industries embrace predictive analytics in their hiring processes. Notable examples include tech giants like Google, Cisco, Sprint, and Deloitte. These companies leverage data-driven approaches to make informed decisions and consistently hire top talent
Applicant Tracking System (ATS) typically use keyword matching for initial screening, which can overlook qualified candidates if their resumes lack specific terms. Unlike this approach, predictive analytics analyzes historical applicant data, job descriptions, and successful hiring patterns like skills, experience, and cultural alignment to identify correlations beyond surface-level keywords. Therefore, organizations can achieve significant improvements in recruitment outcomes with predictive analytics.
Predictive analytics transforms recruitment by using historical data and current trends to forecast future hiring needs, empowering organizations to make proactive, data-driven decisions. This shift improves efficiency and accuracy in talent acquisition, potentially saving valuable time per week otherwise spent on manual tasks.
Let us profile your top performers and put together comprehensive WHY data that you can use immediately to hire. Speak with one of our representatives to learn how to save time and money while making dramatically better people decisions:
Let us profile your top performers and put together comprehensive WHY data that you can use immediately to hire. Speak with one of our representatives to learn how to save time and money while making dramatically better people decisions:
