Rebuilding Job Seeker Trust Through Listing Quality on Naukri

✳The problem they went after

Naukri carries over seventy million job seekers, and listing quality is eroding trust on both sides of the marketplace. Seekers hit outdated postings, duplicates, fake employer accounts, and search results thrown off by imprecise keyword matching. Survey data makes the sharper point: even paid visibility services fail to deliver value once the underlying matching quality is poor, so the revenue problem and the quality problem are the same problem.

✳What they actually did

Solutions were scored with RICE and two rose to the top. A Freshness Label timestamps each listing with its posting date and auto-flags anything not updated after a set period, answering the outdated-listing complaint directly. A Verified Employer Badge runs multi-step validation including KYC and company domain checks, giving seekers an immediate visual signal of legitimacy. Measurement uses clicks on fresh and verified listings as primary metrics, with total application rate as a guardrail. The stated goal is ninety percent satisfaction with search results by end of 2025.

✳What you can take from it

The transferable bitBoth solutions repair trust with visible signals rather than by rewriting the matching algorithm, which is exactly why they are shippable. The guardrail choice is the detail worth copying: filtering hard for quality can easily suppress application volume, so the metric that would catch that damage is named up front instead of after launch.

✳Everything else they shared