Using AI in Hiring: How Kodiva Learns from Your Feedback to Revolutionize Shortlisting in the AI Hiring Process

Using AI in Hiring: How Kodiva Learns from Your Feedback to Revolutionize Shortlisting in the AI Hiring Process

Using AI in Hiring: How Kodiva Learns from Your Feedback to Revolutionize Shortlisting in the AI Hiring Process

Feb 9, 2026

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4

min read

Shortlisting candidates should not feel like guesswork.

Yet most recruiters still scroll through resumes, apply the same filters, and hope for the best.

Kodiva changes that completely.

Its AI does not just filter. It learns from every single decision you make. This turns shortlisting into a process that gets noticeably smarter as you work on the current role.

Here is exactly how AI in hiring works with Kodiva and why it matters.

Two Simple Actions Teach the AI Everything It Needs

You do two things inside Kodiva. That is it.

  • You shortlist someone and add them to outreach. The AI notices. It studies what made this candidate stand out: skills, experience level, wording in their profile, communication style, anything visible. Next recommendations give similar profiles a stronger boost.

  • You skip someone. The AI asks “Why?” You pick a quick reason (or type your own):

    • Lacks depth in system design

    • Overly senior for this role

    • Weak communication examples

    • Cultural mismatch The AI logs that reason and lowers the priority of matching profiles right away.

These two clicks create a fast, powerful learning loop specific to the role you are hiring for.

What Actually Happens Behind the Scenes in the AI Hiring Process

Every time you act, Kodiva updates its model in real time for that open position.

A positive shortlist increases weights on those traits.

Skip with reason decreases weights or excludes entirely.

After just 5 to 6 candidates, the system already understands your preferences for this specific role.

Shortlists start feeling tailored.

Fewer irrelevant profiles slip through.

You get more candidates you actually want to reach out to.

The AI adapts quickly while you work, so you spend less time reviewing noise and more time on real fits.

Why This Feedback Loop Beats Traditional Tools in AI and Recruiting

Most ATS and sourcing tools are static.

You set rules once and they never change.

Kodiva treats your decisions as training data for the current role.

The system improves rapidly during the role.

Mistakes get fixed immediately.

Shortlists become tailored to your emerging preferences.

It learns as you go with no resets needed.

The AI adapts fast while you guide it.

You Stay in Full Control Always with AI in Hiring

This is not black-box AI.

You define the starting point: must-have skills, nice-to-haves, red flags.

You review every shortlist.

You make the final yes or no decisions.

And here is the best part. You can take over anytime.

If something does not feel right, override, give new feedback, or adjust criteria on the fly.

The system instantly incorporates your input and keeps improving.

That human-in-the-loop design is deliberate. It keeps bias in check, respects your company culture, and ensures the tool serves you, not the other way around.

Bottom Line

Shortlisting stops being a chore when the tool actually listens.

Kodiva turns every shortlist and every skip into instant intelligence for the role you are filling right now.

After just a handful of decisions, it knows what you want and delivers it.

The more feedback you give during the role, the less manual work you do.

And the shortlists keep getting sharper.



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© Liftu Technology Private Limited

© Liftu Technology Private Limited

© Liftu Technology Private Limited