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.

Thank you! Your submission has been received!

Oops! Something went wrong while submitting the form.

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.

Download White Paper

Public datasets may not be appropriate
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.

"Thank you for calling. I understand it's frustrating when your video freezes during a work call. I can help you troubleshoot and check if it's related to your internet speed."

78%

Acknowledgement

91%

Empathy

75%

Positive Language

Curious about soft skill measurement?

Check out these other great resources from HiringBranch.

Case Study

How Hiring for Skills Helped JustPressOne Reduce Absenteeism and Boost Job Performance

Read case study

Report

Skills-Based Hiring Performance Report: AI Edition

Read case study

Report

Accurately Measuring Soft Skills: Large Language Models Versus HiringBranch

Read case study

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

Thank you! Your submission has been received!

Oops! Something went wrong while submitting the form.

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.

Download Report

Top-skilled candidates
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...

Matt Alder
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

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.

Book a demo

Some of our happy customers

Skills-Based Hiring Performance Report: AI Edition

Skills-Based Hiring Performance Report: AI Edition

Hire the best, every time.

Inside the Best Language Model for Soft Skill Measurement

What’s Inside?

Accurate Soft Skill Measurement Matters

Curious about soft skill measurement?

Skill-Based Hiring Performance Report: AI Edition

Soft Skills are Indicators of Job Performance

What’s Inside?

The experts weigh in...

About HiringBranch

Try an assessment today