Skip to main content
ProductAll FeaturesHow It Works→ Create Job Description→ AiRA Search Matrix→ Smart Sourcing→ Automated Outreach→ Application Management→ AiRA Ranking→ Interview Process→ Analytics & InsightsSolutions→ AI Recruitment Software→ Recruitment Automation→ AI Candidate Sourcing→ Agentic AI Recruiting→ For HR TeamsResourcesBlog→ AI in Hiring→ Hiring Playbooks→ JD Library→ India Hiring→ Guides→ Glossary→ Compare→ ROI CalculatorPricingCompanyAboutCareers
Login
70%
faster time-to-hire
500+
resumes screened / min
14-21 days
avg time-to-hire

AiRA Ranking Ranked by Outcomes, Not Keywords

AiRA Ranking scores every candidate against a weighted evaluation matrix and hands you a ranked leaderboard. Martha, your AiRA matching agent, orders the shortlist by who will actually succeed — not by who repeats the right keywords.

Set how much each of the eight weighted attributes counts, and the board re-ranks the instant you apply. Because Martha is outcome-trained — learning from every hire and rejection — those rankings stay calibrated over time, with a confidence score on every name.

How AiRA Ranking Works

From the weighted matrix to a confidence-scored leaderboard, the flow is systematic and fully automated:

1

Inherit the weighted matrix

Martha starts from your role's evaluation matrix — the same 8 weighted attributes built on the Search Matrix — so ranking reflects what the job actually needs.

2

Score every candidate

Each candidate is measured against every weighted criterion and given a confidence score — real fit, not a keyword tally.

3

Tune the weights

Drag any weight up or down. Care more about industry fit than education for this role? Set it, and the whole board responds.

4

Recalculate instantly

Apply your weights and the ranking recomputes on the spot — no re-running a search, no waiting for a batch job.

5

Read the leaderboard

A ranked board comes back with a confidence score on every name, your strongest match sitting near the top.

6

Learn from outcomes

Every hire and rejection retrains the model, so recommendations stay calibrated to what actually works for your team.

AiRA Ranking vs Keyword Ranking

DimensionKeyword RankingAiRA Ranking
Match basisKeyword & boolean overlapWeighted evaluation matrix
What countsWhoever stuffs the right termsAll eight weighted attributes
ControlFixed, opaque scoringTune weights, re-rank instantly
Improves over timeStatic rulesLearns from every hire & rejection
OutputUnordered keyword hitsRanked board with confidence scores

Key Capabilities

Ranked leaderboard

Candidates come back as an ordered board with a confidence score on every name, strongest matches on top.

Tunable weights

Set the weight on every attribute to whatever this role demands; rankings recalculate the instant you apply.

Outcome-trained

Martha learns from every hire and rejection, so recommendations stay calibrated to what works — not to keywords.

Weighted matrix scoring

Each candidate is scored against all eight weighted attributes of the evaluation matrix, not a term-frequency count.

Calibrated confidence

Confidence scores reflect real fit and sharpen over time as more of your outcomes feed back in.

Fair & explainable

Every ranking traces back to the weights you set, so you can see and defend why a candidate sits where they do.

Frequently Asked Questions

What is AiRA Ranking?
AiRA Ranking is TheHireHub.AI's candidate ranking engine. Martha, your AiRA matching agent, scores every candidate against the same 8-attribute weighted evaluation matrix built on the Search Matrix — role, skills, education, experience, industry, location, tools and budget — and returns a ranked leaderboard with a confidence score on each name. You can tune the weights to fit the role, and the ranking recalculates instantly.
How is AiRA Ranking different from keyword or boolean ranking?
Keyword and boolean ranking reward whoever repeats the right terms, regardless of whether they would actually succeed in the role. AiRA Ranking scores candidates on the same 8-attribute weighted evaluation matrix — role, skills, experience, industry, location and more — and it is outcome-trained: it learns from your hires and rejections. The result is a shortlist ordered by likely fit, not by résumé wording.
Can I change how candidates are weighted?
Yes. Each of the eight attributes carries a weight on a 25/50/75/100 scale that you can drag up or down for any role. When you apply new weights, the whole board re-ranks instantly — no re-running the search, no waiting for results.
What does outcome-trained mean?
It means the model learns from what actually happens. Every hire and every rejection feeds back in, so Martha's recommendations stay calibrated to the candidates who succeed on your team over time — rather than a fixed rule set that never improves.
How accurate are the confidence scores?
Each candidate gets a confidence score reflecting how well they match your weighted criteria. Because the model is outcome-trained, those scores sharpen over time as more of your hiring results feed back into the ranking.

Rank candidates by who will actually succeed

Martha scores every candidate on a weighted matrix and learns from every hire — so your shortlist is ordered by outcomes, not keywords. See it in action.

Request a Demo View Pricing

Explore the pipeline

AiRA Search Matrix — decode your JDSmart Sourcing — reach passive talentInterview Process — AI-led interviewsAll features — the full AiRA pipeline

See your exact hiring savings

Personalised cost + time-saved estimate based on your hiring volume. No signup required.

Calculate Your ROI

Ready to Automate Your Hiring Process?

Join hundreds of companies using AI-powered recruitment automation to hire faster, smarter, and better.

7 Day, Full Access, No Credit Card