Inside the Best Language Model for Soft Skill Measurement
HiringBranch put their Soft Skills AI™ technology to the test. Does it read soft skills more accurately with proprietary data or the nearest best open-source language models?
Organizations need to be able to measure soft skills accurately during the hiring process in order to take advantage of the skills-based hiring trend that’s happening now.
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What’s Inside?
Packed with rich insights, this is an exclusive look inside HiringBranch data science. This study delivers hard proof around algorithm accuracy while revealing significant implications for high-volume hiring teams.
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Public datasets may not be appropriate
for soft skill measurement.
for soft skill measurement.
With enough of the right data, smaller datasets may lead to more accurate results.
HiringBranch's language model measures soft skills with 98% accuracy.
A language model with greater accuracy will yield more effective hiring outcomes.
Accurate Soft Skill Measurement Matters
Soft skills can and should be measured accurately, whether that is a reality for most organizations today or not. Soft skills account for 85% of career success!
Skills-based hiring (measuring both soft and hard skills instead of degrees, experience, etc.) is a priority for approximately three-quarters of recruiting pros because it has been proven to improve candidate quality, reduce bad hire rates, increase revenue, and more.
Skills-based hiring (measuring both soft and hard skills instead of degrees, experience, etc.) is a priority for approximately three-quarters of recruiting pros because it has been proven to improve candidate quality, reduce bad hire rates, increase revenue, and more.
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78%
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Acknowledgement
91%
Empathy
75%
Positive Language
Curious about soft skill measurement?
Check out these other great resources from HiringBranch.
Skill-Based Hiring Performance Report: AI Edition
Skills-based hiring is on the rise. But how much does it improve performance? The results are in: skills-based hiring works. Find out just how much in this no-fluff, data-packed report on skills-hiring case studies from 100,000+ employee companies.
- Data from over 5000 skills-hired candidates in 16 countries
- 5 proprietary research studies
- Analysis of high vs. low-skilled hires, attrition, and trends
- Expert input from AI scientists and leading HR influencers
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Soft Skills are Indicators of Job Performance
Skills-based hiring is still emerging, and early-adopting organisations are already benefiting from the ability to measure soft skills and link this practice to hiring quality. HiringBranch Soft Skills AI™ is capable of better results than traditional methods of hiring.
HR technology vendors… claim to measure soft skills, but few validate job performance.
- Jon Sumser, HR Examiner
“HR technology vendors… claim to measure soft skills, but few validate job performance.”
- Jon Sumser, HR Examiner
What’s Inside?
Learn what AI and skill-based hiring are capable of. Employers and contact centers can benchmark their performance, get cues for optimization strategies, implementation and more.
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Top-skilled candidates
become top performers
become top performers
Assessing language alone doesn’t improve performance
Highly-skilled candidates lead to less attrition
Hiring for skills improves bad hire rates
The experts weigh in...
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Matt Alder
Producer & Host,
The Recruiting Future Podcast
Producer & Host,
The Recruiting Future Podcast
With so many companies struggling to attract and retain the talent they need in a rapidly changing world of work, those employers who adopt skills-based methodologies guarantee themselves a significant competitive advantage. The future of recruiting has arrived and it's skills-based.
Howard Flint
Co-Founder & President
WorkTech Advisory
Co-Founder & President
WorkTech Advisory
The more data that allows us to link AI-driven skills assessments with future performance, the more confidence TA leaders and the business will have. The risk of using AI will be quickly outweighed by the benefits. Technologies that can show strong predictive results will be the game changers in moving hiring practices to the next level.
About HiringBranch
Hiring assessments aren’t new. AI skills assessments are. HiringBranch uses native AI to measure soft skills from conversations. This unique open-ended approach is the next generation to legacy multiple-choice assessments – because human skills cannot be measured by A, B, or C. Fortune 1000s and contact centers use HiringBranch to reduce interview time by over 80% while achieving mis-hire rates as low as 1%. Founded by Patricia Macleod and Stephane Rivard and headquartered in Canada, HiringBranch proudly serves high-volume hiring companies like Bell Canada and Infosys.
Some of our happy customers
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The Recruiter's Guide to Buying AI - Without Getting Burned
AI is transforming recruiting, but not all tools are created equal. Before you invest, read the definitive guide for recruiters who want to separate real innovation from empty hype.
Learn how to evaluate AI tools with confidence
Spot red flags in marketing claims
Ask the right questions before you buy
Get a step-by-step checklist and benchmark KPIs
Learn how to evaluate AI tools with confidence
Spot red flags in marketing claims
Ask the right questions before you buy
Get a step-by-step checklist and benchmark KPIs
In this flooded AI market, discernment is your competitive edge.
This guide pulls back the curtain on:
- The myths vendors won’t tell you
- How to vet AI tools for explainability, bias mitigation, and scientific validity
- What to demand in terms of audits, data privacy, and fairness
- Why HiringBranch’s soft-skills AI passed New York City’s infamous audit
