Case Study

Global Online Retailer Eliminates Interviews and Cuts Hiring Time, With Zero Drop in Quality

Case Study

Global Online Retailer Eliminates Interviews and Cuts Hiring Time, With Zero Drop in Quality

Summary
Find out how a global online retailer that hires hundreds of operations specialists per year cut interviews altogether. Read the full case study here.

Background:

One division of a global online retailer hires hundreds of operations specialists per year in its Latin America offices, with the help of 45 Hiring Managers. Attrition and seasonal merchant demand make high-volume, high-speed hiring an ongoing operational priority.

"It was extremely time-consuming for the hiring managers and, to be quite honest, sometimes frustrating."
— Group Manager

Problem:

Long time to hire and impersonation

Before starting with HiringBranch in January 2026, the team relied on a three-stage process: a logic test, an English test with a legacy provider, and a 30-minute interview. With 45 hiring managers each conducting three to four interviews per wave, and hiring drives producing 400–600 hires per year (at roughly a 1-in-4 conversion rate), the time burden was immense. 

Managers were spending hours away from their teams at exactly the moments when operations demanded their full attention.

Beyond the time cost, the team faced a serious integrity problem: impersonation fraud. Candidates were having other people complete their assessments on their behalf, only for an unqualified individual to show up on day one.

"It was extremely time-consuming for the hiring managers and, to be quite honest, sometimes frustrating."
— Group Manager

Solution:

Communication + skills assessment in one 

After learning that another internal business unit had eliminated interviews using HiringBranch, this operations team launched a pilot. The key capabilities that drove their decision were as follows:

  • Consolidated assessment: English proficiency, logic, and job-relevant skills evaluated in a single, seamless candidate experience, replacing a fragmented multi-step process.
  • Robust proctoring: Live monitoring to eliminate impersonation, the team's most pressing pre-hire risk.
  • Speed: What previously required weeks of scheduling, interviewing, and note-entry now takes a matter of clicks.
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"We compared adoption rates between the two groups and saw no meaningful difference. That means we can stop doing the whole interview process and move faster with the same quality. [ ] It is a great savings."
— Randy Quesad, Group Manager

Results:

Streamlined the entire hiring process

After running two full hiring waves exclusively through HiringBranch, with no interviews, the team conducted a side-by-side performance comparison between HiringBranch hires and traditionally interviewed hires. The results made the decision to use HiringBranch a no-brainer.

"We compared adoption rates between the two groups and saw no meaningful difference. That means we can stop doing the whole interview process and move faster with the same quality. [ ] It is a great savings."
— Randy Quesad, Group Manager

That means the team had equal performance parity between HiringBranch hires and traditionally interviewed hires. This correlates to 45 Hiring Managers getting hours back so they can return to core operations rather than interviewing all the time.

In addition to equal quality, the team reported zero impersonation incidents since deploying HiringBranch. This is a dramatic improvement from the ongoing fraud issues they had experienced under the previous process.

Results at a glance

  • 45 hiring managers freed from conducting interviews each wave
  • 2–3 hrs per manager, per hiring drive — returned to core operations
  • 0 impersonation incidents since deploying HiringBranch
  • 400–600 annual hires processed without a single interview
  • Equal performance parity between HiringBranch hires vs. traditionally interviewed hires
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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.
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.
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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
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.

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