Introducing ROSI Skills Match from Rival: Find the Right Candidates Faster Without Reading Every Resume First

Published On: June 15, 2026Categories: AI in HR, Talent Acquisition

Recruiters are not usually short on resumes. What they’re short on is time, consistency, and clear signals that help them find qualified candidates quickly and confidently. 

Every open role comes with a familiar challenge: manually reviewing resumes and profiles, comparing uneven signals across candidates, and trying to decide who deserves attention first. In large applicant pools, strong candidates can be easy to miss, and hiring decisions often rely more on individual judgment than on a consistent, data-backed evaluation process. 

Recruiters are good at this work, but it can be tedious. Great recruiters build pattern recognition over time. They know what a strong candidate looks like. They understand nuance. They can spot transferable experience, unusual career paths, and people who may not look perfect on paper but could still be a great fit. 

But great recruiting should not require hours of manual resume review just to get to a starting point. There has to be a better, faster way to narrow the list, and not miss a great candidate in the middle of the pile. 

That is where ROSI Skills Match from Rival comes in. 

The candidate pool is not the problem. Finding the right fit is. 

Most recruiting teams already have more candidate data than they can realistically act on. Applicants come in through job postings. Candidates sit in the pipeline. Strong people live in the talent pool from previous searches, referrals, silver medalist lists, and sourced outreach. 

The challenge is rarely getting more candidates. 

But how do you know which candidates deserve your attention first? Who has the skills you need, or the right mix of capabilities for the role? You need a fast way to identify those people and start the screening process before someone else does. 

That challenge gets even harder in high-volume roles, specialized searches, or positions where hiring managers need a very specific mix of must-have, nice-to-have, and bonus skills. In those cases, even general-purpose AI can miss the nuance. 

A keyword search can help. But keywords are blunt instruments. 

Keyword searches can help, but they are blunt instruments. They can miss strong candidates who describe their experience differently, while overvaluing candidates who happen to use the right phrasing. They can also push recruiters toward surface-level matches—or resumes optimized for AI—rather than more meaningful skill alignment. 

And when recruiters have to manually sort through every resume, the process slows down before the real recruiting work even begins.  

Introducing ROSI Skills Match from Rival 

ROSI Skills Match helps recruiting teams find the right candidates first by using AI to analyze job requirements, match them against candidate skills and experience, and surface clear, explainable results. As Rival’s always-on agent, ROSI helps teams work faster with ranked, standardized matches so recruiters can shortlist quickly and hire with confidence. 

Instead of asking recruiters to start with a blank slate and a stack of resumes, Skills Match gives them an instant shortlist of best-fit candidates across applicants, pipeline candidates, and the talent pool. ROSI analyzes the job description to extract key skills, compares those skills against candidate profiles across Recruit, and applies standardized, data-backed scoring so every applicant is evaluated using the same logic. 

That means less manual screening, faster shortlisting, and clearer insights that help recruiters make more confident hiring decisions without losing control of the process. 

With ROSI Skills Match, recruiters can: 

  • Use ROSI to instantly surface top candidate matches for an open role 
  • Review ranked results across applicants, pipeline candidates, and the talent pool 
  • Filter matches by candidate source and page through additional ranked candidates 
  • Weight skills as core, preferred, or bonus to reflect role priorities 
  • Open detailed score breakdowns to see matched skills, gaps, and overall fit 
  • Reduce manual resume screening so recruiters can spend more time engaging top talent 

It is a faster, clearer way to turn existing candidate data into action. Instead of letting qualified talent stay buried in large applicant pools, ROSI helps recruiters understand who to prioritize first and why. 

Not all skills are the same 

One of the problems with traditional resume screening is that skills often get treated as if they are equally important. But recruiters and hiring managers know that is rarely true. 

Some skills are essential. Some are preferred. Some are useful extras. And some may be interesting, but not worth prioritizing if the core requirements are missing. ROSI Skills Match gives recruiters a more practical way to shape scoring around what matters most for the role, with a Manage Skills experience that keeps recruiter priorities in the driver’s seat. 

ROSI initially extracts up to 15 skills from the job description, and recruiters can organize them into categories such as: 

  • Core skills 
  • Preferred skills 
  • Bonus skills 

That categorization directly influences how candidates are scored, making the match more practical, transparent, and aligned to real hiring decisions. 

Clear scores. Better conversations. 

A match score is useful only if recruiters can understand what is behind it. That is why ROSI Skills Match does not just surface a number. Selecting a candidate’s score opens a detailed breakdown of overall match percentage, matched skills, and skill gaps, giving recruiters a transparent, data-backed view of why a candidate is ranked where they are. 

Instead of saying, “This candidate seems like a possible fit,” recruiters can say, “This candidate matches several of our core skills, has one preferred skill, and is missing one bonus skill.” 

That creates a better conversation with a hiring manager and a stronger starting point for decision-making. The score helps prioritize review with consistent logic, while the recruiter still brings the context and judgment that hiring requires. 

Maybe a candidate is missing a listed skill but has adjacent experience that matters. Maybe they score well but need a closer look before outreach. Maybe they are not right for this role but should be added to a future search. 

ROSI Skills Match helps recruiters get to those judgments faster. 

Built for the way recruiting works 

Recruiting rarely happens in one clean lane. A role opens. New applicants come in. Existing pipeline candidates may be relevant. The talent pool may include people who were strong contenders for previous roles. A hiring manager may want to move fast. The recruiter may need to find qualified people before the best candidates are gone. 

ROSI Skills Match supports that reality by helping recruiters identify relevant candidates from multiple candidate sources, not just the newest applicants. 

This matters, because the best candidate for a role may not be the person who applied this morning. They may already be in your system. But if recruiters do not have a fast way to identify that person, the candidate may as well be invisible.  

Skills Match helps make existing candidate data more usable by surfacing people whose skills align to the job, whether they are in the applicant list, pipeline, or talent pool. Recruiters can review up to 45 top-matched candidates at a time, sorted by match strength, and results update dynamically as job skills are refined. 

Skills Match does not replace recruiter judgment. It removes the manual sorting that slows recruiters down, so they can spend more time engaging the right people, asking better questions, and making stronger recommendations to hiring teams. 

Faster screening. More human recruiting. 

There is a lot of anxiety around AI in hiring right now, and for good reason. Hiring decisions affect people’s lives, and your business depends on building the right team. Those decisions should be thoughtful, fair, accountable, and informed. 

That is why the goal of ROSI Skills Match is not to hand hiring decisions over to automation. It is to help recruiters move through repetitive screening work faster and with more structure, so they can focus on the parts of recruiting that require human judgment. 

Things like: 

  • Understanding candidate motivation 
  • Evaluating potential 
  • Building relationships 
  • Advising hiring managers 
  • Looking beyond the obvious resume match 
  • Creating a better candidate experience 
  • Making thoughtful recommendations 

Recruiters should not have to spend hours digging through resumes before they can do the work that actually moves hiring forward. ROSI Skills Match helps teams find the right candidates first, with ranked, explainable matches that reduce manual work, improve shortlist quality, and support more confident hiring decisions. 

Ready to find top candidates faster? 

See how ROSI Skills Match from Rival can help your team identify stronger candidate matches, improve recruiter efficiency, and move hiring forward with more confidence. Request a demo.