UNLOCKING INSIGHTS
Market leaders are significantly enhancing their personnel choices by integrating their ‘WHAT data’ with a novel category ‘WHY’ data. ‘WHY’ data is objective data about an individuals’ traits, motivations, and capacities. Somebody’s ‘WHY’ data tells you whether or not they belong in your organization. With comprehensive ‘WHY’ data on every member of your company, you’ll be able to harness the full value of your biggest asset—your workforce.
Virtually all companies have the same challenge — there are always some people that outperform others. What if you had a way to tap into the full potential of your current and new employees?
Why do people who look similar on paper and who have been hired, onboarded, coached and trained the same way perform so differently?
If you believe that the information you’ve been able to gather isn’t enough to make the best possible decisions, you’re right. Most information about people is related to what someone does or has done, a type of data known as WHAT data. But WHAT data is not enough.
SmoothHiring’s cloud-based predictive analytics platform gives you the WHY data you need to make the best possible people decisions.
Discover the true drivers of top performance to improve results, reduce turnover, and strengthen your company’s culture.
was built from 50 years of research, and has a proprietary database of over 1 million users from over 25,000 jobs and 4,000 companies across 100+ industries and uses patented algorithms that predict job success.
What matters to you is that SmoothHiring easily scales so that your entire company will be up and running to leverage all that power in just 15 minutes.
Instantly answer tough questions and get detailed data and actionable insights to help optimize hiring, performance management, promotion, development, career-pathing, and much more.
SmoothHiring’s Predictive 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 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 analytics 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.
SmoothHiring places you at the forefront of recruitment innovation with predictive analytics. Stay ahead in identifying top talent and cultivate a workforce that not only meets but exceeds future challenges.
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 Systems (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.
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 Systems (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.
SmoothHiring, built on predictive analytics, is an all-in-one hiring solution for SMB’s.
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